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ORCIDRyan Baker 0001
Ryan S. Baker 0001 – Ryan Shaun Baker – Ryan Shaun Joazeiro de Baker
Person information
- affiliation: University of Pennsylvania, Graduate School of Education, Philadelphia, PA, USA
- affiliation: Teachers College, Columbia University, New York, NY, USA
- affiliation: Worcester Polytechnic Institute, MA, USA
Other persons with the same name
- Ryan Baker 0002 — Microsoft Corporation, Redmond, WA, USA
- Ryan Baker 0003 — Ford Motor Company, USA
- Ryan Baker 0004 — Rowan University, Glassboro, NJ, USA
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2020 – today
- 2024
[j51]Jaclyn Ocumpaugh
, Rod D. Roscoe, Ryan S. Baker, Stephen Hutt, Stephen J. Aguilar:
Toward Asset-based Instruction and Assessment in Artificial Intelligence in Education. Int. J. Artif. Intell. Educ. 34(4): 1559-1598 (2024)- [c287]Amanda Barany, Nidhi Nasiar, Chelsea Porter, Andres Felipe Zambrano, Juliana Ma. Alexandra L. Andres, Dara Bright, Mamta Shah, Xiner Liu, Sabrina Gao, Jiayi Zhang, Shruti Mehta, Jaeyoon Choi, Camille Giordano, Ryan S. Baker:
ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development. AIED (2) 2024: 134-149 - [c286]J. Elizabeth Richey, Huy Anh Nguyen, Mahboobeh Mehrvarz, Nicole Else-Quest, Ivon Arroyo, Ryan S. Baker, Hayden Stec, Jessica Hammer, Bruce M. McLaren:
Understanding Gender Effects in Game-Based Learning: The Role of Self-Explanation. AIED (1) 2024: 206-219 - [c285]Jiayi Zhang, Conrad Borchers, Vincent Aleven, Ryan S. Baker:
Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols. EDM 2024 - [c284]Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills:
Open Science and Educational Data Mining: Which Practices Matter Most? EDM 2024 - [c283]Lief Esbenshade, Jonathan Vitale, Ryan S. Baker:
Non-Overlapping Leave Future Out Validation (NOLFO): Implications for Graduation Prediction. EDM 2024 - [c282]Nidhi Nasiar, Ryan S. Baker, Juliana. Ma. Alexandra L. Andres, Namrata Srivastava:
Same Learning Platform, Different Types of Research: A National-Level Analysis. EDM 2024 - [c281]Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker:
De-Identifying Student Personally Identifying Information with GPT-4. EDM 2024 - [c280]Valdemar Svábenský, Mélina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan S. Baker, Miguel Zenon Nicanor Lerias Saavedra, Sébastien Lallé, Atsushi Shimada:
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students. EDM 2024 - [c279]Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil T. Heffernan, Andrew S. Lan:
From Reaction to Anticipation: Predicting Future Affect. EDM 2024 - [c278]Maciej Pankiewicz, Ryan Shaun Baker:
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. ITiCSE (1) 2024 - [c277]Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh:
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. ITiCSE (1) 2024 - [c276]Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker:
Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment. ITiCSE (1) 2024 - [c275]Elizabeth B. Cloude, Pranshu Kumar, Ryan Shaun Baker, Eric Fouh:
Novice programmers inaccurately monitor the quality of their work and their peers' work in an introductory computer science course. LAK 2024: 35-45 - [c274]Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills:
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. LAK 2024: 55-65 - [c273]Andres Felipe Zambrano, Ryan Shaun Baker:
Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning. LAK 2024: 66-77 - [c272]Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch:
Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK 2024: 210-218 - [c271]Elizabeth B. Cloude, Anabil Munshi, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas:
Exploring Confusion and Frustration as Non-linear Dynamical Systems. LAK 2024: 241-252 - [c270]Andres Felipe Zambrano, Jiayi Zhang, Ryan S. Baker:
Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors. LAK 2024: 349-359 - [c269]Conrad Borchers, Jiayi Zhang, Ryan S. Baker, Vincent Aleven:
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. LAK 2024: 529-539 - [c268]Fiona M. Lee, Ryan S. Baker, Pradip Singh Tomar, Krishna Kumari, Qimu Liang, Zhanlan Wei:
Videos for Parents and Child Performance. L@S 2024: 265-268 - [c267]Mamta Shah, Ryan S. Baker, Peter Granville, Kimberly Sharp:
Examining Student Engagement in Online Learning Platforms for Promoting Exam Readiness and Success in Undergraduate Nursing Education. L@S 2024: 443-446 - [c266]Mamta Shah, Maciej Pankiewicz, Ryan S. Baker, Jiahui Chi, Yue Xin, Hetali Shah, Dangela Fonseca:
Students' Use of an LLM-Powered Virtual Teaching Assistant for Recommending Educational Applications of Games. JCSG 2024: 19-24 - [c265]Xiner Liu, Stefan Slater, Luke Swanson, Shari J. Metcalf, David J. Gagnon, Ryan S. Baker:
Identifying When and Why Students Choose to Quit Jobs in a Science Exploration Game. JCSG 2024: 56-69 - [c264]Elizabeth B. Cloude, Jiayi Zhang, Ryan Shaun Baker, Eric Fouh:
Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming. SIGCSE (1) 2024: 214-220 - [i15]Maciej Pankiewicz, Ryan Shaun Baker:
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. CoRR abs/2403.12737 (2024) - [i14]Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan S. Baker, Eric Fouh:
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. CoRR abs/2404.05988 (2024) - [i13]Ryan S. Baker, Nigel Bosch, Stephen Hutt, Andres Felipe Zambrano, Alex J. Bowers:
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem. CoRR abs/2404.06989 (2024) - [i12]Valdemar Svábenský, Mélina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan Shaun Baker, Miguel Zenon Nicanor Lerias Saavedra, Sébastien Lallé, Atsushi Shimada:
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students. CoRR abs/2405.09821 (2024) - [i11]Valdemar Svábenský, Kristián Tkácik, Aubrey Birdwell, Richard Weiss, Ryan S. Baker, Pavel Celeda, Jan Vykopal, Jens Mache, Ankur Chattopadhyay:
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments. CoRR abs/2408.08531 (2024) - [i10]Conrad Borchers, Ryan S. Baker:
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation. CoRR abs/2411.19090 (2024) - 2023
- [j50]Ryan S. Baker:
AI and self-regulated learning theory: What could be on the horizon? Comput. Hum. Behav. 147: 107849 (2023) - [j49]Ryan S. Baker:
Learning Analytics: An Opportunity for Education. XRDS 29(3): 18-21 (2023) - [j48]Clara Belitz, Jaclyn Ocumpaugh, Steven Ritter, Ryan S. Baker, Stephen E. Fancsali, Nigel Bosch:
Constructing categories: Moving beyond protected classes in algorithmic fairness. J. Assoc. Inf. Sci. Technol. 74(6): 663-668 (2023) - [j47]Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette:
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. J. Comput. Assist. Learn. 39(2): 351-368 (2023) - [j46]Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres:
A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning. IEEE Trans. Affect. Comput. 14(2): 1696-1710 (2023) - [j45]José A. Ruipérez-Valiente, Yoon Jeon Kim, Ryan S. Baker, Pedro A. Martínez, Grace C. Lin:
The Affordances of Multivariate Elo-Based Learner Modeling in Game-Based Assessment. IEEE Trans. Learn. Technol. 16(2): 152-165 (2023) - [c263]Andres Felipe Zambrano, Ryan S. Baker, Andrew S. Lan:
Active Learning for a Classroom Observer who Can't Time Travel. ACIIW 2023: 1-8 - [c262]Elena G. van Stee, Taylor Heath, Ryan Shaun Baker, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh:
Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent. AIED 2023: 139-150 - [c261]Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt:
Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. AIED (Posters/Late Breaking Results/...) 2023: 453-459 - [c260]Maciej Pankiewicz, Ryan Baker, Jaclyn Ocumpaugh:
Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes. AIED (Posters/Late Breaking Results/...) 2023: 593-598 - [c259]Hannah Gonzalez, Jiening Li, Helen Jin, Jiaxuan Ren, Hongyu Zhang, Ayotomiwa Akinyele, Adrian Wang, Eleni Miltsakaki, Ryan S. Baker, Chris Callison-Burch:
Automatically Generated Summaries of Video Lectures May Enhance Students' Learning Experience. BEA@ACL 2023: 382-393 - [c258]Xiner Liu, Stefan Slater, Juliana Ma. Alexandra L. Andres, Luke Swanson, Jennifer Scianna, David J. Gagnon, Ryan Shaun Baker:
Struggling to Detect Struggle in Students Playing a Science Exploration Game. CHI PLAY (Companion) 2023: 83-88 - [c257]Stephen Hutt, Sanchari Das, Ryan Baker:
The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward. EDM 2023 - [c256]Valdemar Svábenský, Ryan Baker, Andrés Zambrano, Yishan Zou, Stefan Slater:
Towards Generalizable Detection of Urgency of Discussion Forum Posts. EDM 2023 - [c255]Xiner Liu, Basel Hussein, Amanda Barany, Ryan S. Baker, Bodong Chen:
Decoding Player Behavior: Analyzing Reasons for Player Quitting Using Log Data from Puzzle Game Baba Is You. ICQE 2023: 34-48 - [c254]Jennifer Scianna, Xiner Liu, Stefan Slater, Ryan S. Baker:
A Case for (Inter)Action: The Role of Log Data in QE. ICQE 2023: 395-408 - [c253]Andres Felipe Zambrano, Xiner Liu, Amanda Barany, Ryan S. Baker, Juhan Kim, Nidhi Nasiar:
From nCoder to ChatGPT: From Automated Coding to Refining Human Coding. ICQE 2023: 470-485 - [c252]Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh:
Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course. LAK 2023: 378-387 - [c251]Aaron Y. Wong, Richard L. Bryck, Ryan S. Baker, Stephen Hutt, Caitlin Mills:
Using a Webcam Based Eye-tracker to Understand Students' Thought Patterns and Reading Behaviors in Neurodivergent Classrooms. LAK 2023: 453-463 - [c250]Juan Miguel L. Andres-Bray, Stephen Hutt, Ryan Shaun Baker:
Exploring Cross-Country Prediction Model Generalizability in MOOCs. L@S 2023: 183-194 - [c249]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell, Jeremy Roschelle, Ben Motz, Danielle S. McNamara, Richard G. Baraniuk, Debshila Basu Mallick, René F. Kizilcec, Ryan Baker, Stephen Fancsali, April Murphy:
Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2023: 254-256 - [c248]Jiayi Zhang, Ryan S. Baker, Thomas A. Farmer:
No Benefit for High-Dosage Time Management Interventions in Online Courses. L@S 2023: 302-305 - [i9]Maciej Pankiewicz, Ryan Shaun Baker:
Large Language Models (GPT) for automating feedback on programming assignments. CoRR abs/2307.00150 (2023) - [i8]Valdemar Svábenský, Ryan S. Baker, Andrés Zambrano, Yishan Zou, Stefan Slater:
Towards Generalizable Detection of Urgency of Discussion Forum Posts. CoRR abs/2307.07614 (2023) - [i7]Yan Tao, Olga Viberg, Ryan Shaun Baker, René F. Kizilcec:
Auditing and Mitigating Cultural Bias in LLMs. CoRR abs/2311.14096 (2023) - [i6]Conrad Borchers, Jiayi Zhang, Ryan Shaun Baker, Vincent Aleven:
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. CoRR abs/2312.05675 (2023) - 2022
- [j44]Genaro Rebolledo-Mendez, N. Sofia Huerta-Pacheco, Ryan S. Baker, Benedict du Boulay:
Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics. Int. J. Artif. Intell. Educ. 32(1): 174-195 (2022) - [j43]Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Anam Ahmad Khan, Gregor E. Kennedy, James Bailey, Ryan Shaun Baker:
How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment. Int. J. Artif. Intell. Educ. 32(2): 233-262 (2022) - [j42]Shamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker:
Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology. Int. J. Artif. Intell. Educ. 32(3): 685-724 (2022) - [j41]Ryan S. Baker, Aaron Hawn:
Algorithmic Bias in Education. Int. J. Artif. Intell. Educ. 32(4): 1052-1092 (2022) - [j40]Stephen Hutt, Ryan S. Baker, Michael Mogessie Ashenafi, Juan Miguel L. Andres-Bray, Christopher Brooks:
Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data. Br. J. Educ. Technol. 53(4): 756-775 (2022) - [j39]Seyedahmad Rahimi, Valerie J. Shute, Curt Fulwider, Katie Bainbridge, Renata Kuba, Xiaotong Yang, Ginny L. Smith, Ryan S. Baker, Sidney K. D'Mello:
Timing of learning supports in educational games can impact students' outcomes. Comput. Educ. 190: 104600 (2022) - [c247]Nidhi Nasiar, Ryan S. Baker, Jillian Li, Weiyi Gong:
How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research? AIED (1) 2022: 115-126 - [c246]Stefan Slater, Ryan Baker, Valerie Shute, Alex J. Bowers:
Engagement-Based Player Typologies Describe Game-Based Learning Outcomes. AIED (2) 2022: 325-328 - [c245]Yuanyuan Li, Xiaotian Zou, Zhenjun Ma, Ryan S. Baker:
A Multi-pronged Redesign to Reduce Gaming the System. AIED (2) 2022: 334-337 - [c244]Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman, Tyron Young:
Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. EDM 2022 - [c243]Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney L. Cade, Margaret Clements, Shuqiong Lin:
Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. EDM 2022 - [c242]Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt:
Evaluating Gaming Detector Model Robustness Over Time. EDM 2022 - [c241]Karen Wang, Zhenjun Ma, Ryan S. Baker, Yuanyuan Li:
Iterative Refinement of an AIS Rewards System. HCI (31) 2022: 113-125 - [c240]Shamya Karumbaiah, Ryan Baker, Yan Tao, Ziyang Liu:
How does Students' Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy. LAK 2022: 24-33 - [c239]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Ben Motz, Debshila Basu Mallick, Klinton Bicknell, Danielle S. McNamara, René F. Kizilcec, Jeremy Roschelle, Richard G. Baraniuk, Ryan Baker:
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2022: 252-254 - [c238]Ryan Baker, Stephen Hutt, Michael Mogessie Ashenafi, Haripriya Valayaputtar:
Research Using the MOOC Replication Framework and E-TRIALS. LWMOOCS 2022: 131-136 - [c237]Jiayi Zhang, Taylor Cunningham, Rashmi Iyer, Ryan Baker, Eric Fouh:
Exploring the Impact of Voluntary Practice and Procrastination in an Introductory Programming Course. SIGCSE (1) 2022: 356-361 - [i5]David J. Gagnon, Ryan S. Baker, Sarah Gagnon, Luke Swanson, Nick Spevacek, Juliana Ma. Alexandra L. Andres, Erik Harpstead, Jennifer Scianna, Stefan Slater, Maria Ofelia Clarissa Z. San Pedro:
Exploring players' experience of humor and snark in a grade 3-6 history practices game. CoRR abs/2210.09906 (2022) - 2021
- [j38]Ryan S. Baker, Dragan Gasevic, Shamya Karumbaiah:
Four paradigms in learning analytics: Why paradigm convergence matters. Comput. Educ. Artif. Intell. 2: 100021 (2021) - [j37]Jodi Asbell-Clarke, Elizabeth Rowe, Mia Victoria Almeda, Teon Edwards, Erin Bardar, Santiago Gasca, Ryan S. Baker, Richard Scruggs:
The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis. Comput. Hum. Behav. 115: 106587 (2021) - [j36]Elizabeth Rowe, Ma. Victoria Almeda, Jodi Asbell-Clarke, Richard Scruggs, Ryan Baker, Erin Bardar, Santiago Gasca:
Assessing implicit computational thinking in Zoombinis puzzle gameplay. Comput. Hum. Behav. 120: 106707 (2021) - [j35]Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Gautam Biswas, Anabil Munshi:
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. J. Learn. Anal. 8(3): 28-44 (2021) - [c236]Seth Akonor Adjei, Ryan S. Baker, Vedant Bahel:
Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence. AIED (1) 2021: 16-28 - [c235]Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas:
Affect-Targeted Interviews for Understanding Student Frustration. AIED (1) 2021: 52-63 - [c234]Ryan S. Baker, Bruce M. McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie Ashenafi, Juliana Ma. Alexandra L. Andres:
Towards Sharing Student Models Across Learning Systems. AIED (2) 2021: 60-65 - [c233]J. Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel L. Andres-Bray, Richard Scruggs, Michael Mogessie Ashenafi, Ryan S. Baker, Bruce M. McLaren:
Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game. AIED (1) 2021: 342-355 - [c232]Yiqiu Zhou, Juan Miguel L. Andres-Bray, Stephen Hutt, Korinn Ostrow, Ryan S. Baker:
A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners. AIED (2) 2021: 427-432 - [c231]Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas:
Students' Verbalized Metacognition During Computerized Learning. CHI 2021: 680:1-680:12 - [c230]Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas:
Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. CogSci 2021 - [c229]Vedant Bahel, Seth Akonor Adjei, Ryan S. Baker:
Transferring an existing gaming detection model to different system using semi-supervised approach. EDM (Workshops) 2021 - [c228]Rohini Das, Jiayi Zhang, Ryan S. Baker, Richard Scruggs:
A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem. EDM (Workshops) 2021 - [c227]Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker:
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. EDM 2021 - [c226]Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs:
The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance. EDM 2021 - [c225]Juliana Ma. Alexandra L. Andres, Stephen Hutt, Jaclyn Ocumpaugh, Ryan S. Baker, Nidhi Nasiar, Chelsea Porter:
How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews. ICQE 2021: 268-283 - [c224]Eric Fouh, Wellington Lee, Ryan S. Baker:
Nudging students to reduce procrastination in office hours and forums. IV 2021: 248-254 - [c223]Shamya Karumbaiah, Andrew S. Lan, Sachit Nagpal, Ryan S. Baker, Anthony Botelho, Neil T. Heffernan:
Using Past Data to Warm Start Active Machine Learning: Does Context Matter? LAK 2021: 151-160 - [c222]Fatemeh Salehian Kia, Marek Hatala, Ryan S. Baker, Stephanie D. Teasley:
Measuring Students' Self-Regulatory Phases in LMS with Behavior and Real-Time Self Report. LAK 2021: 259-268 - 2020
- [j34]Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker:
Predicting Math Identity Through Language and Click-Stream Patterns in a Blended Learning Mathematics Program for Elementary Students. J. Learn. Anal. 7(1) (2020) - [j33]V. Elizabeth Owen, Ryan S. Baker:
Fueling Prediction of Player Decisions: Foundations of Feature Engineering for Optimized Behavior Modeling in Serious Games. Technol. Knowl. Learn. 25(2): 225-250 (2020) - [c221]Michael Mogessie Ashenafi, J. Elizabeth Richey, Bruce M. McLaren, Juan Miguel L. Andres-Bray, Ryan S. Baker:
Confrustion and Gaming While Learning with Erroneous Examples in a Decimals Game. AIED (2) 2020: 208-213 - [c220]Nathan L. Henderson, Jonathan P. Rowe, Luc Paquette, Ryan S. Baker, James C. Lester:
Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion. AIED (1) 2020: 228-239 - [c219]Rurik Tywoniw, Scott A. Crossley, Jaclyn Ocumpaugh, Shamya Karumbaiah, Ryan Baker:
Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System. AIED (2) 2020: 329-333 - [c218]Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas:
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. AIED (1) 2020: 411-422 - [c217]Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Ryan S. Baker, Gregor E. Kennedy, James Bailey:
Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment. AIED (1) 2020: 423-436 - [c216]Jaclyn Ocumpaugh, Ryan S. Baker, Shamya Karumbaiah, Scott A. Crossley, Matthew J. Labrum:
Affective Sequences and Student Actions Within Reasoning Mind. AIED (1) 2020: 437-447 - [c215]Yeyu Wang, Shimin Kai, Ryan Shaun Baker:
Early Detection of Wheel-Spinning in ASSISTments. AIED (1) 2020: 574-585 - [c214]Deepak Agarwal, Ryan Baker, Anupama Muraleedharan:
Dynamic knowledge tracing through data driven recency weights. EDM 2020 - [c213]Lalitha Agnihotri, Ryan Baker, Steve Stalzer:
A Procrastination Index for Online Learning Based on Assignment Start Time. EDM 2020 - [c212]Stefan Slater, Ryan Baker, Yeyu Wang:
Iterative Feature Engineering Through Text Replays of Model Error. EDM 2020 - [c211]Shengni Wang, Yuxin Zhao, Wei Ma, Zhenjun Ma, Ryan Baker:
The Results of Zone of Proximal Development on Learning Outcome. EDM 2020 - [c210]Yang Jiang, Ma. Victoria Almeda, Shimin Kai, Ryan S. Baker, Korinn Ostrow, Paul Salvador Inventado, Peter Scupelli:
Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance. ICLS 2020 - [c209]Mamta Shah, Erica L. Snow, Ryan Baker, Christine Gouveia:
Learning Scientists in Academia and Industry: Building Bridges and Expanding the Potential of our Community. ICLS 2020 - [c208]Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker:
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. ICQE 2020: 185-201 - [c207]Shamya Karumbaiah, Ryan S. Baker:
Studying Affect Dynamics Using Epistemic Networks. ICQE 2020: 362-374 - [c206]Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas:
The relationship between confusion and metacognitive strategies in Betty's Brain. LAK 2020: 276-284 - [c205]Inge Molenaar, Anne Horvers, Rick Dijkstra, Ryan S. Baker:
Personalized visualizations to promote young learners' SRL: the learning path app. LAK 2020: 330-339
2010 – 2019
- 2019
- [j32]J. Elizabeth Richey, Juan Miguel L. Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Juliana Ma. Alexandra L. Andres, Jon R. Star, Ryan S. Baker, Bruce M. McLaren:
More confusion and frustration, better learning: The impact of erroneous examples. Comput. Educ. 139: 173-190 (2019) - [j31]Luc Paquette, Ryan S. Baker:
Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system. Interact. Learn. Environ. 27(5-6): 585-597 (2019) - [c204]Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, Keith Brawner, Ryan S. Baker, James C. Lester:
4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion. AIED (1) 2019: 144-156 - [c203]Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh:
The Case of Self-transitions in Affective Dynamics. AIED (1) 2019: 172-181 - [c202]Xiaotian Zou, Wei Ma, Zhenjun Ma, Ryan S. Baker:
Towards Helping Teachers Select Optimal Content for Students. AIED (2) 2019: 413-417 - [c201]J. Elizabeth Richey, Bruce M. McLaren, Miguel Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Ryan S. Baker, Jon R. Star:
Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference? AIED (1) 2019: 445-457 - [c200]Srikrishna Raamadhurai, Ryan Baker, Vikraman Poduval:
Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning. BEA@ACL 2019: 336-342 - [c199]Yang Jiang, Ma. Victoria Almeda, Shimin Kai, Ryan Baker, Korinn Ostrow, Paul Salvador Inventado, Peter Scupelli:
Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance. CogSci 2019: 3291 - [c198]Henry Anderson, Afshan Boodhwani, Ryan S. Baker:
Assessing the Fairness of Graduation Predictions. EDM 2019 - [c197]Juan Miguel L. Andres-Bray, Jaclyn L. Ocumpaugh, Ryan S. Baker:
Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses. EDM 2019 - [c196]Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan:
Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. EDM 2019 - [c195]Chad Coleman, Ryan S. Baker, Shonte Stephenson:
A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts. EDM 2019 - [c194]Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. EDM 2019 - [c193]Shamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker:
The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures. EDM 2019 - [c192]V. Elizabeth Owen, Marie-Helene Roy, K. P. Thai, Vesper Burnett, Daniel Jacobs, Eric Keylor, Ryan S. Baker:
Detecting Wheel Spinning and Productive Persistence in Educational Games. EDM 2019 - [c191]Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan:
Active Learning for Student Affect Detection. EDM 2019 - [c190]Shamya Karumbaiah, Ryan S. Baker, Amanda Barany, Valerie Shute:
Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game. ICQE 2019: 106-116 - [c189]Josh Gardner, Christopher Brooks, Ryan Baker:
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. LAK 2019: 225-234 - [c188]Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas:
Affect Sequences and Learning in Betty's Brain. LAK 2019: 383-390 - [c187]Inge Molenaar, Anne Horvers, Ryan S. Baker:
Towards Hybrid Human-System Regulation: Understanding Children' SRL Support Needs in Blended Classrooms. LAK 2019: 471-480 - [c186]Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker:
Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis. LDK 2019: 25:1-25:13 - [i4]Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students. CoRR abs/1901.03793 (2019) - [i3]Richard Scruggs, Ryan S. Baker, Bruce M. McLaren:
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance. CoRR abs/1910.12597 (2019) - 2018
- [j30]Sergio Salmeron-Majadas, Ryan S. Baker, Olga C. Santos, Jesús González-Boticario:
A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios. IEEE Access 6: 39154-39179 (2018) - [j29]Robert A. Sottilare, Ryan S. Baker, Arthur C. Graesser, James C. Lester:
Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research. Int. J. Artif. Intell. Educ. 28(2): 139-151 (2018) - [j28]Jeanine DeFalco, Jonathan P. Rowe, Luc Paquette, Vasiliki Georgoulas, Keith W. Brawner, Bradford W. Mott, Ryan S. Baker, James C. Lester:
Detecting and Addressing Frustration in a Serious Game for Military Training. Int. J. Artif. Intell. Educ. 28(2): 152-193 (2018) - [c185]Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas:
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? AIED (1) 2018: 198-211 - [c184]Luc Paquette, Ryan S. Baker, Michal Moskal:
A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere. AIED (2) 2018: 257-260 - [c183]Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Role of Socio-cultural Differences in Labeling Students' Affective States. AIED (1) 2018: 367-380 - [c182]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker:
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data. IEEE BigData 2018: 3235-3244 - [c181]Elizabeth Rowe, Jodi Asbell-Clarke, Ryan Shaun Baker, Santiago Gasca, Erin Bardar, Richard Scruggs:
Labeling Implicit Computational Thinking in Pizza Pass Gameplay. CHI Extended Abstracts 2018 - [c180]Deepak Agarwal, Nishant Babel, Ryan S. Baker:
Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy. EDM 2018 - [c179]Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan:
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. EDM 2018 - [c178]Scott A. Crossley, Jaclyn Ocumpaugh, Matthew J. Labrum, Franklin Bradfield, Mihai Dascalu, Ryan S. Baker:
Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features. EDM 2018 - [c177]Shamya Karumbaiah, Ryan S. Baker, Valerie J. Shute:
Predicting Quitting in Students Playing a Learning Game. EDM 2018 - [c176]Sinem Aslan, Eda Okur, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling. HCI (29) 2018: 372-379 - [c175]Shamya Karumbaiah, Seyedahmad Rahimi, Ryan Baker, Valerie Shute, Sidney D'Mello:
Is Student Frustration in Learning Games More Associated with Game Mechanics or Conceptual Understanding? ICLS 2018 - [c174]Shirin Mojarad, Alfred Essa, Shahin Mojarad, Ryan S. Baker:
Data-Driven Learner Profiling Based on Clustering Student Behaviors: Learning Consistency, Pace and Effort. ITS 2018: 130-139 - [c173]Ani Aghababyan, Nicholas Lewkow, Ryan S. Baker:
Enhancing the Clustering of Student Performance Using the Variation in Confidence. ITS 2018: 274-279 - [c172]Victor Kostyuk, Ma. Victoria Almeda, Ryan S. Baker:
Correlating affect and behavior in reasoning mind with state test achievement. LAK 2018: 26-30 - [c171]Juan Miguel L. Andres, Ryan S. Baker, Dragan Gasevic, George Siemens, Scott A. Crossley, Srecko Joksimovic:
Studying MOOC completion at scale using the MOOC replication framework. LAK 2018: 71-78 - [c170]Junyi Li, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Matthew J. Labrum, Victor Kostyuk, Scott A. Crossley:
Student online behaviors: correlations to math identity. LAK 2018: 441-445 - [c169]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker:
Replicating MOOC predictive models at scale. L@S 2018: 1:1-1:10 - [c168]Vincent Aleven, Jonathan Sewall, Juan Miguel L. Andres, Robert A. Sottilare, Rodney A. Long, Ryan Baker:
Towards adapting to learners at scale: integrating MOOC and intelligent tutoring frameworks. L@S 2018: 14:1-14:4 - [c167]Sinem Aslan, Eda Okur, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States. MIS4TEL 2018: 53-61 - [c166]Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan S. Baker, Luc Paquette:
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. UMAP 2018: 131-138 - [i2]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker:
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale. CoRR abs/1801.05236 (2018) - [i1]Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. CoRR abs/1806.05208 (2018) - 2017
- [j27]Elizabeth Rowe, Jodi Asbell-Clarke, Ryan S. Baker, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards:
Assessing implicit science learning in digital games. Comput. Hum. Behav. 76: 617-630 (2017) - [j26]Maria Ofelia Clarissa Z. San Pedro, Ryan S. Baker, Neil T. Heffernan:
An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance. Technol. Knowl. Learn. 22(3): 243-270 (2017) - [c165]Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Ma. Victoria Almeda, Laura K. Allen, Neil T. Heffernan:
Using natural language processing tools to develop complex models of student engagement. ACII 2017: 542-547 - [c164]Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan:
Improving Sensor-Free Affect Detection Using Deep Learning. AIED 2017: 40-51 - [c163]Jaclyn Ocumpaugh, Juan Miguel L. Andres, Ryan S. Baker, Jeanine DeFalco, Luc Paquette, Jonathan P. Rowe, Bradford W. Mott, James C. Lester, Vasiliki Georgoulas, Keith W. Brawner, Robert A. Sottilare:
Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion. AIED 2017: 238-249 - [c162]Luc Paquette, Ryan S. Baker:
Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments. AIED 2017: 274-286 - [c161]Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan S. Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell:
Exploring Learner Model Differences Between Students. AIED 2017: 494-497 - [c160]Mark A. Riedesel, Neil L. Zimmerman, Ryan S. Baker, Tom Titchener, James Cooper:
Using a Model for Learning and Memory to Simulate Learner Response in Spaced Practice. AIED 2017: 644-649 - [c159]Scott A. Crossley, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker, Stefan Trausan-Matu:
Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis. CSCL 2017 - [c158]Juan Miguel L. Andres, Ryan S. Baker, George Siemens, Dragan Gasevic, Catherine A. Spann, Scott A. Crossley:
Studying MOOC Completion at Scale Using the MOOC Replication Framework. EDM 2017 - [c157]Joseph Beck, Min Chi, Ryan S. Baker:
Workshop proposal: deep learning for educational data mining. EDM 2017 - [c156]Shimin Kai, Ma. Victoria Almeda, Ryan S. Baker, Nicole Shechtman, Cristina Heffernan, Neil T. Heffernan:
Modeling Wheel-spinning and Productive Persistence in Skill Builders. EDM 2017 - [c155]Shimin Kai, Juan Miguel L. Andres, Luc Paquette, Ryan S. Baker, Kati Molnar, Harriet Watkins, Michael Moore:
Predicting Student Retention from Behavior in an Online Orientation Course. EDM 2017 - [c154]Jun Xie, Shirin Mojarad, Keith T. Shubeck, Alfred Essa, Ryan S. Baker, Xiangen Hu:
Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System. EDM 2017 - [c153]Lalitha Agnihotri, Alfred Essa, Ryan S. Baker:
Impact of student choice of content adoption delay on course outcomes. LAK 2017: 16-20 - [c152]Ani Aghababyan, Nicholas Lewkow, Ryan S. Baker:
Exploring the asymmetry of metacognition. LAK 2017: 115-119 - [c151]Christopher Brooks, Ryan Baker, Juan Miguel Limjap Andres:
Infrastructure for Replication in Learning Analytics. MLA/BLAC@LAK 2017 - [c150]Stefan Slater, Ryan S. Baker, Ma. Victoria Almeda, Alex J. Bowers, Neil T. Heffernan:
Using correlational topic modeling for automated topic identification in intelligent tutoring systems. LAK 2017: 393-397 - [c149]Jaclyn Ocumpaugh, Ryan S. Baker, Maria Ofelia Clarissa Z. San Pedro, M. Aaron Hawn, Cristina Heffernan, Neil T. Heffernan, Stefan A. Slater:
Guidance counselor reports of the ASSISTments college prediction model (ACPM). LAK 2017: 479-488 - [c148]Neil L. Zimmerman, Ryan S. Baker:
Mining knowledge components from many untagged questions. LAK 2017: 566-567 - [e3]Elisabeth André, Ryan S. Baker, Xiangen Hu, Ma. Mercedes T. Rodrigo, Benedict du Boulay:
Artificial Intelligence in Education - 18th International Conference, AIED 2017, Wuhan, China, June 28 - July 1, 2017, Proceedings. Lecture Notes in Computer Science 10331, Springer 2017, ISBN 978-3-319-61424-3 [contents] - 2016
- [j25]Ryan S. Baker:
Stupid Tutoring Systems, Intelligent Humans. Int. J. Artif. Intell. Educ. 26(2): 600-614 (2016) - [j24]Ryan Shaun Joazeiro de Baker, Jody Clarke-Midura, Jaclyn Ocumpaugh:
Towards general models of effective science inquiry in virtual performance assessments. J. Comput. Assist. Learn. 32(3): 267-280 (2016) - [j23]Vitomir Kovanovic, Dragan Gasevic, Shane Dawson, Srecko Joksimovic, Ryan Baker:
Does Time-on-task Estimation Matter? Implications on Validity of Learning Analytics Findings. J. Learn. Anal. 2(3): 81-110 (2016) - [j22]Nigel Bosch, Sidney K. D'Mello, Jaclyn Ocumpaugh, Ryan S. Baker, Valerie Shute:
Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms. ACM Trans. Interact. Intell. Syst. 6(2): 17:1-17:26 (2016) - [c147]Karrie E. Godwin, Howard J. Seltman, Ma. Victoria Almeda, Shimin Kai, Ryan S. Baker, Anna V. Fisher:
The Variable Relationship Between On-Task Behavior and Learning. CogSci 2016 - [c146]Zhongxiu Liu, Rebecca Brown, Collin F. Lynch, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara:
MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis. EDM 2016: 127-134 - [c145]Yijun Ma, Lalitha Agnihotri, Ryan S. Baker, Shirin Mojarad:
Effect of student ability and question difficulty on duration. EDM 2016: 135-142 - [c144]Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Peter Scupelli, Paul Salvador Inventado, Neil T. Heffernan:
Semantic Features of Math Problems: Relationships to Student Learning and Engagement. EDM 2016: 223-230 - [c143]Paul Salvador Inventado, Peter Scupelli, Eric Van Inwegen, Korinn Ostrow, Neil Thomas Heffernan III, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Mia Almeda:
Hint Availability Slows Completion Times in Summer Work. EDM 2016: 388-393 - [c142]Laura J. Malkiewich, Ryan S. Baker, Valerie Shute, Shiming Kai, Luc Paquette:
Classifying behavior to elucidate elegant problem solving in an educational game. EDM 2016: 448-453 - [c141]Nigel Bosch, Sidney K. D'Mello, Ryan S. Baker, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura, Lubin Wang, Weinan Zhao:
Detecting Student Emotions in Computer-Enabled Classrooms. IJCAI 2016: 4125-4129 - [c140]Scott A. Crossley, Luc Paquette, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker:
Combining click-stream data with NLP tools to better understand MOOC completion. LAK 2016: 6-14 - [c139]Mengxiao Zhu, Yoav Bergner, Yan Zhang, Ryan S. Baker, Yuan Wang, Luc Paquette:
Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models. LAK 2016: 223-230 - [c138]Vincent Aleven, Ryan S. Baker, Yuan Wang, Jonathan Sewall, Octav Popescu:
Bringing Non-programmer Authoring of Intelligent Tutors to MOOCs. L@S 2016: 313-316 - [c137]Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Ryan Shaun Joazeiro de Baker, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell:
Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities. UMAP 2016: 55-63 - [c136]V. Elizabeth Owen, Gabriella Anton, Ryan S. Baker:
Modeling User Exploration and Boundary Testing in Digital Learning Games. UMAP 2016: 301-302 - 2015
- [j21]Amy Ogan, Erin Walker, Ryan S. Baker, Ma. Mercedes T. Rodrigo, Jose Carlo A. Soriano, Maynor Jimenez Castro:
Towards Understanding How to Assess Help-Seeking Behavior Across Cultures. Int. J. Artif. Intell. Educ. 25(2): 229-248 (2015) - [j20]Valerie J. Shute, Sidney K. D'Mello, Ryan Shaun Joazeiro de Baker, Kyunghwa Cho, Nigel Bosch, Jaclyn Ocumpaugh, Matthew Ventura, Ma. Victoria Almeda:
Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game. Comput. Educ. 86: 224-235 (2015) - [c135]Nigel Bosch, Sidney K. D'Mello, Ryan Shaun Joazeiro de Baker, Jaclyn Ocumpaugh, Valerie J. Shute:
Temporal Generalizability of Face-Based Affect Detection in Noisy Classroom Environments. AIED 2015: 44-53 - [c134]Vincent Aleven, Jonathan Sewall, Octav Popescu, Franceska Xhakaj, Dhruv Chand, Ryan Shaun Joazeiro de Baker, Yuan Elle Wang, George Siemens, Carolyn P. Rosé, Dragan Gasevic:
The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs. AIED 2015: 525-528 - [c133]Yang Jiang, Ryan Shaun Joazeiro de Baker, Luc Paquette, Maria Ofelia Clarissa Z. San Pedro, Neil T. Heffernan:
Learning, Moment-by-Moment and Over the Long Term. AIED 2015: 654-657 - [c132]Kevin Mulqueeny, Leigh A. Mingle, Victor Kostyuk, Ryan S. Baker, Jaclyn Ocumpaugh:
Improving Engagement in an E-Learning Environment. AIED 2015: 730-733 - [c131]Gregory R. Moore, Ryan Shaun Baker, Sujith M. Gowda:
The Antecedents of Moments of Learning. CogSci 2015 - [c130]Rebecca Brown, Collin F. Lynch, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara:
Good Communities and Bad Communities: Does Membership Affect Performance? EDM 2015: 612-613 - [c129]Rebecca Brown, Collin F. Lynch, Yuan Wang, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan Shaun Baker, Yoav Bergner, Danielle S. McNamara:
Communities of Performance & Communities of Preference. EDM (Workshops) 2015 - [c128]George Siemens, Ryan S. Baker, Dragan Gasevic:
Personal Knowledge/Learning Graph. EDM 2015: 5 - [c127]Ryan S. Baker, John Carney, Piotr Mitros, Bror Saxberg, John C. Stamper:
The Future of Practical Applications of EDM at Scale. EDM 2015: 11 - [c126]Ryan S. Baker, Peter Brusilovsky, Dragan Gasevic, Neil T. Heffernan, Mykola Pechenizkiy, Alyssa Friend Wise:
Grand Challenges for EDM and Related Research Areas. EDM 2015: 15 - [c125]Shiming Kai, Luc Paquette, Ryan S. Baker, Nigel Bosch, Sidney K. D'Mello, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura:
A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground. EDM 2015: 77-84 - [c124]Maria Ofelia San Pedro, Erica L. Snow, Ryan S. Baker, Danielle S. McNamara, Neil T. Heffernan:
Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement. EDM 2015: 85-92 - [c123]Luc Paquette, Jonathan P. Rowe, Ryan S. Baker, Bradford W. Mott, James C. Lester, Jeanine DeFalco, Keith W. Brawner, Robert A. Sottilare, Vasiliki Georgoulas:
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection. EDM 2015: 93-100 - [c122]Yang Jiang, Luc Paquette, Ryan S. Baker, Jody Clarke-Midura:
Comparing Novice and Experienced Students in Virtual Performance Assessments. EDM 2015: 136-143 - [c121]Ryan S. Baker, David Lindrum, Mary Jane Lindrum, David Perkowski:
Analyzing Early At-Risk Factors in Higher Education e-Learning Courses. EDM 2015: 150-155 - [c120]Scott A. Crossley, Danielle S. McNamara, Ryan S. Baker, Yuan Wang, Luc Paquette, Tiffany Barnes, Yoav Bergner:
Language to Completion: Success in an Educational Data Mining Massive Open Online Class. EDM 2015: 388-391 - [c119]Elizabeth Rowe, Ryan S. Baker, Jodi Asbell-Clarke:
Strategic Game Moves Mediate Implicit Science Learning. EDM 2015: 432-435 - [c118]Erica L. Snow, Maria Ofelia San Pedro, Matthew E. Jacovina, Danielle S. McNamara, Ryan S. Baker:
Achievement versus Experience: Predicting Students' Choices during Gameplay. EDM 2015: 564-565 - [c117]Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker:
Simulating Multi-Subject Momentary Time Sampling. EDM 2015: 586-587 - [c116]Nigel Bosch, Huili Chen, Sidney K. D'Mello, Ryan Shaun Baker, Valerie J. Shute:
Accuracy vs. Availability Heuristic in Multimodal Affect Detection in the Wild. ICMI 2015: 267-274 - [c115]Nigel Bosch, Sidney K. D'Mello, Ryan Shaun Baker, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura, Lubin Wang, Weinan Zhao:
Automatic Detection of Learning-Centered Affective States in the Wild. IUI 2015: 379-388 - [c114]Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Neil T. Heffernan, Jaclyn Ocumpaugh:
Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system? LAK 2015: 36-40 - [c113]Vitomir Kovanovic, Dragan Gasevic, Shane Dawson, Srecko Joksimovic, Ryan S. Baker, Marek Hatala:
Penetrating the black box of time-on-task estimation. LAK 2015: 184-193 - [c112]William L. Miller, Ryan Shaun Baker, Matthew J. Labrum, Karen Petsche, Yu-Han Liu, Angela Z. Wagner:
Automated detection of proactive remediation by teachers in reasoning mind classrooms. LAK 2015: 290-294 - [c111]Jaclyn Ocumpaugh, Ryan S. Baker, Ma. Mercedes T. Rodrigo, Aatish Salvi, Martin Van Velsen, Ani Aghababyan, Taylor Martin:
HART: the human affect recording tool. SIGDOC 2015: 24:1-24:6 - [c110]Luc Paquette, Ryan Shaun Baker, Adriana M. J. B. de Carvalho, Jaclyn Ocumpaugh:
Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System. UMAP 2015: 183-194 - 2014
- [j19]Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Joazeiro de Baker, Ma. Mercedes T. Rodrigo:
Carelessness and Affect in an Intelligent Tutoring System for Mathematics. Int. J. Artif. Intell. Educ. 24(2): 189-210 (2014) - [j18]Jaclyn Ocumpaugh, Ryan Shaun Baker, Sujith M. Gowda, Neil T. Heffernan, Cristina Heffernan:
Population validity for educational data mining models: A case study in affect detection. Br. J. Educ. Technol. 45(3): 487-501 (2014) - [j17]Ryan S. Baker:
Educational Data Mining: An Advance for Intelligent Systems in Education. IEEE Intell. Syst. 29(3): 78-82 (2014) - [j16]Zachary A. Pardos, Ryan S. Baker, Maria Ofelia San Pedro, Sujith M. Gowda, Supreeth M. Gowda:
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes. J. Learn. Anal. 1(1): 107-128 (2014) - [j15]Yuan Wang, Luc Paquette, Ryan Baker:
A Longitudinal Study on Learner Career Advancement in MOOCs. J. Learn. Anal. 1(3): 203-206 (2014) - [j14]William L. Miller, Ryan S. Baker, Lisa M. Rossi:
Unifying Computer-Based Assessment Across Conceptual Instruction, Problem-Solving, and Digital Games. Technol. Knowl. Learn. 19(1-2): 165-181 (2014) - [j13]Matthew Berland, Ryan S. Baker, Paulo Blikstein:
Educational Data Mining and Learning Analytics: Applications to Constructionist Research. Technol. Knowl. Learn. 19(1-2): 205-220 (2014) - [c109]Luc Paquette, Adriana M. J. B. de Carvalho, Ryan Shaun Baker:
Towards Understanding Expert Coding of Student Disengagement in Online Learning. CogSci 2014 - [c108]Diego Luna Bazaldua, Ryan S. Baker, Maria Ofelia San Pedro:
Comparing Expert and Metric-Based Assessments of Association Rule Interestingness. EDM 2014: 44-51 - [c107]Maria Ofelia San Pedro, Jaclyn Ocumpaugh, Ryan S. Baker, Neil T. Heffernan:
Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software. EDM 2014: 276-279 - [c106]Luc Paquette, Adriana M. J. B. de Carvalho, Ryan S. Baker, Jaclyn Ocumpaugh:
Reengineering the Feature Distillation Process: A case study in detection of Gaming the System. EDM 2014: 284-287 - [c105]Elizabeth Rowe, Ryan S. Baker, Jodi Asbell-Clarke, Emily Kasman, William J. Hawkins:
Building Automated Detectors of Gameplay Strategies to Measure Implicit Science Learning. EDM 2014: 337-338 - [c104]Ryan S. Baker, Jaclyn Ocumpaugh:
Cost-Effective, Actionable Engagement Detection at Scale. EDM 2014: 345-346 - [c103]I-Han Hsiao, Hui Soo Chae, Manav Malhotra, Ryan S. Baker, Gary Natriello:
Exploring Engaging Dialogues in Video Discussions. EDM 2014: 363-364 - [c102]Michael Sao Pedro, Yang Jiang, Luc Paquette, Ryan S. Baker, Janice D. Gobert:
Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining. ICLS 2014 - [c101]Luc Paquette, Ryan Shaun Joazeiro de Baker, Michael A. Sao Pedro, Janice D. Gobert, Lisa M. Rossi, Adam Nakama, Zakkai Kauffman-Rogoff:
Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment. Intelligent Tutoring Systems 2014: 1-10 - [c100]William J. Hawkins, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker:
Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities. Intelligent Tutoring Systems 2014: 150-155 - [c99]Ma. Victoria Almeda, Peter Scupelli, Ryan S. Baker, Mimi Weber, Anna V. Fisher:
Clustering of design decisions in classroom visual displays. LAK 2014: 44-48 - [c98]Ryan Shaun Baker, Jaclyn Ocumpaugh, Sujith M. Gowda, Amy M. Kamarainen, Shari J. Metcalf:
Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science. UMAP 2014: 290-300 - [c97]Jaclyn Ocumpaugh, Ryan Shaun Baker, Amy M. Kamarainen, Shari J. Metcalf:
Modifying Field Observation Methods on the Fly: Creative Metanarrative and Disgust in an Environmental MUVE. UMAP Workshops 2014 - 2013
- [j12]Kaska Porayska-Pomsta, Manolis Mavrikis, Sidney K. D'Mello, Cristina Conati, Ryan Shaun Joazeiro de Baker:
Knowledge Elicitation Methods for Affect Modelling in Education. Int. J. Artif. Intell. Educ. 22(3): 107-140 (2013) - [j11]Sujith M. Gowda, Ryan S. Baker, Albert T. Corbett, Lisa M. Rossi:
Towards Automatically Detecting Whether Student Learning is Shallow. Int. J. Artif. Intell. Educ. 23(1-4): 50-70 (2013) - [j10]Kenneth R. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth A. McLaughlin, John C. Stamper:
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. AI Mag. 34(3): 27-41 (2013) - [j9]Michael A. Sao Pedro, Ryan Shaun Joazeiro de Baker, Janice D. Gobert, Orlando Montalvo, Adam Nakama:
Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill. User Model. User Adapt. Interact. 23(1): 1-39 (2013) - [c96]William J. Hawkins, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker:
Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)? ACII 2013: 618-623 - [c95]Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Neil T. Heffernan:
Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System. AIED 2013: 41-50 - [c94]Albert T. Corbett, Benjamin A. MacLaren, Angela Z. Wagner, Linda R. Kauffman, Aaron P. Mitchell, Ryan Shaun Joazeiro de Baker:
Differential Impact of Learning Activities Designed to Support Robust Learning in the Genetics Cognitive Tutor. AIED 2013: 319-328 - [c93]Jeanine DeFalco, Ryan S. Baker:
Detection and Transition Analysis of Engagement and Affect in a Simulation-Based Combat Medic Training Environment. AIED Workshops 2013 - [c92]Lakshmi S. Doddannara, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Supreeth M. Gowda, Adriana M. J. B. de Carvalho:
Exploring the Relationships between Design, Students' Affective States, and Disengaged Behaviors within an ITS. AIED 2013: 31-40 - [c91]Arnon Hershkovitz, Ryan Shaun Joazeiro de Baker, Gregory R. Moore, Lisa M. Rossi, Martin Van Velsen:
The Interplay between Affect and Engagement in Classrooms Using AIED Software. AIED 2013: 587-590 - [c90]Paul Salvador Inventado, Roberto Sebastian Legaspi, Koichi Moriyama, Masayuki Numao, Jeanine DeFalco, Ryan S. Baker:
An architecture for identifying and using effective learning behavior to help students manage learning. AIED Workshops 2013 - [c89]Jaclyn Ocumpaugh, Ryan Shaun Joazeiro de Baker, Steven Gaudino, Matthew J. Labrum, Travis Dezendorf:
Field Observations of Engagement in Reasoning Mind. AIED 2013: 624-627 - [c88]Ilya M. Goldin, Taylor Martin, Ryan Shaun Joazeiro de Baker, Vincent Aleven, Tiffany Barnes:
Formative Feedback in Interactive Learning Environments. AIED 2013: 946 - [c87]Albert T. Corbett, Benjamin A. MacLaren, Angela Z. Wagner, Linda R. Kauffman, Aaron P. Mitchell, Ryan Shaun Baker:
Enhancing Robust Learning Through Problem Solving in the Genetics Cognitive Tutor. CogSci 2013 - [c86]Karrie E. Godwin, Ma. Victoria Almeda, Megan Petroccia, Ryan S. Baker, Anna V. Fisher:
Classroom activities and off-task behavior in elementary school children. CogSci 2013 - [c85]Ryan S. Baker:
EDM in a Complex and Changing World. EDM 2013: 3 - [c84]William J. Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker:
Extending the Assistance Model: Analyzing the Use of Assistance over Time. EDM 2013: 59-66 - [c83]Arnon Hershkovitz, Ryan Shaun Baker, Sujith M. Gowda, Albert T. Corbett:
Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning. EDM 2013: 74-81 - [c82]Zhongxiu Liu, Visit Pataranutaporn, Jaclyn Ocumpaugh, Ryan Shaun Baker:
Sequences of Frustration and Confusion, and Learning. EDM 2013: 114-120 - [c81]Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Alex J. Bowers, Neil T. Heffernan:
Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School. EDM 2013: 177-184 - [c80]Michael Sao Pedro, Ryan Shaun Baker, Janice D. Gobert:
Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition. EDM 2013: 185-192 - [c79]Zachary A. Pardos, Ryan Shaun Joazeiro de Baker, Maria Ofelia Clarissa Z. San Pedro, Sujith M. Gowda, Supreeth M. Gowda:
Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes. LAK 2013: 117-124 - [c78]Michael A. Sao Pedro, Ryan Shaun Joazeiro de Baker, Janice D. Gobert:
What different kinds of stratification can reveal about the generalizability of data-mined skill assessment models. LAK 2013: 190-194 - [c77]Simon Buckingham Shum, Martin Hawksey, Ryan Shaun Joazeiro de Baker, Naomi Jeffery, John T. Behrens, Roy Pea:
Educational data scientists: a scarce breed. LAK 2013: 278-281 - [c76]Ryan Shaun Joazeiro de Baker, Jody Clarke-Midura:
Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science. UMAP 2013: 203-214 - 2012
- [j8]Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Jenilyn Agapito, Julieta Nabos, Ma. Concepcion Repalam, Salvador S. Reyes, Maria Ofelia Clarissa Z. San Pedro:
The Effects of an Interactive Software Agent on Student Affective Dynamics while Using ;an Intelligent Tutoring System. IEEE Trans. Affect. Comput. 3(2): 224-236 (2012) - [j7]Michel C. Desmarais, Ryan Shaun Joazeiro de Baker:
A review of recent advances in learner and skill modeling in intelligent learning environments. User Model. User Adapt. Interact. 22(1-2): 9-38 (2012) - [c75]Amy Ogan, Erin Walker, Ryan Shaun Joazeiro de Baker, Genaro Rebolledo-Mendez, Maynor Jimenez Castro, Tania Laurentino, Adriana M. J. B. de Carvalho:
Collaboration in cognitive tutor use in latin America: field study and design recommendations. CHI 2012: 1381-1390 - [c74]Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Michael Wixon, Jessica Kalka, Angela Z. Wagner, Aatish Salvi, Vincent Aleven, Gail Kusbit, Jaclyn Ocumpaugh, Lisa M. Rossi:
Sensor-free automated detection of affect in a Cognitive Tutor for Algebra. EDM 2012: 126-133 - [c73]Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Bruce M. McLaren, Alejandra Jayme, Thomas Dy:
Development of a Workbench to Address the Educational Data Mining Bottleneck. EDM 2012: 152-155 - [c72]Paulo Blikstein, Marcelo Worsley, Bruce Sherin, Ryan Baker, Matthew Berland, Taylor Martin, Ido Roll, Vincent Aleven, Ken Koedinger, Arnon Hershkovitz:
Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives. ICLS 2012 - [c71]Arnon Hershkovitz, Ryan Baker, Janice D. Gobert, Adam Nakama:
A Data-driven Path Model of Student Attributes, Affect, and Engagement in a Computerbased Science Inquiry Microworld. ICLS 2012 - [c70]Sujith M. Gowda, Zachary A. Pardos, Ryan Shaun Joazeiro de Baker:
Content Learning Analysis Using the Moment-by-Moment Learning Detector. ITS 2012: 434-443 - [c69]Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett, Jaclyn Ocumpaugh:
Towards Automatically Detecting Whether Student Learning Is Shallow. ITS 2012: 444-453 - [c68]Jose Carlo A. Soriano, Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Amy Ogan, Erin Walker, Maynor Jimenez Castro, Ryan Genato, Samantha Fontaine, Ricardo Belmontez:
A Cross-Cultural Comparison of Effective Help-Seeking Behavior among Students Using an ITS for Math. ITS 2012: 636-637 - [c67]Ryan Shaun Joazeiro de Baker, Simon Buckingham Shum, Erik Duval, John C. Stamper, David A. Wiley:
Educational data mining meets learning analytics. LAK 2012: 20 - [c66]Daniel Roberge, Anthony Rojas, Ryan S. Baker:
Does the length of time off-task matter? LAK 2012: 234-237 - [c65]George Siemens, Ryan Shaun Joazeiro de Baker:
Learning analytics and educational data mining: towards communication and collaboration. LAK 2012: 252-254 - [c64]Michael A. Sao Pedro, Ryan Shaun Joazeiro de Baker, Janice D. Gobert:
Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information. UMAP 2012: 249-260 - [c63]Michael Wixon, Ryan Shaun Joazeiro de Baker, Janice D. Gobert, Jaclyn Ocumpaugh, Matthew Bachmann:
WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously. UMAP 2012: 286-296 - 2011
- [j6]Ryan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan:
Detecting Learning Moment-by-Moment. Int. J. Artif. Intell. Educ. 21(1-2): 5-25 (2011) - [j5]Ryan Baker, Seiji Isotani, Adriana M. J. B. de Carvalho:
Mineração de Dados Educacionais: Oportunidades para o Brasil. Revista Brasileira de Informática na Educ. 19(2) (2011) - [j4]Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan:
The sum is greater than the parts: ensembling models of student knowledge in educational software. SIGKDD Explor. 13(2): 37-44 (2011) - [c62]Ryan Shaun Joazeiro de Baker, Gregory R. Moore, Angela Z. Wagner, Jessica Kalka, Aatish Salvi, Michael Karabinos, Colin Ashe, David Yaron:
The Dynamics between Student Affect and Behavior Occurring Outside of Educational Software. ACII (1) 2011: 14-24 - [c61]Diane Marie C. Lee, Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Jessica O. Sugay, Andrei Coronel:
Exploring the Relationship between Novice Programmer Confusion and Achievement. ACII (1) 2011: 175-184 - [c60]Maria Ofelia Clarissa Z. San Pedro, Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker:
The Relationship between Carelessness and Affect in a Cognitive Tutor. ACII (1) 2011: 306-315 - [c59]Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett:
Towards Predicting Future Transfer of Learning. AIED 2011: 23-30 - [c58]Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Joazeiro de Baker, Ma. Mercedes T. Rodrigo:
Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathematics. AIED 2011: 304-311 - [c57]Arnon Hershkovitz, Michael Wixon, Ryan Shaun Joazeiro de Baker, Janice D. Gobert, Michael Sao Pedro:
Carelessness and Goal Orientation in a Science Microworld. AIED 2011: 462-465 - [c56]John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer:
Managing the Educational Dataset Lifecycle with DataShop. AIED 2011: 557-559 - [c55]Erin Walker, Amy Ogan, Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de Carvalho, Tania Laurentino, Genaro Rebolledo-Mendez, Maynor Jimenez Castro:
Observations of Collaboration in Cognitive Tutor Use in Latin America. AIED 2011: 575-577 - [c54]John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Sandy Demi, Shawnwen Yu, Duncan Spencer:
DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event). AIED 2011: 628 - [c53]Albert T. Corbett, Benjamin A. MacLaren, Angela Z. Wagner, Linda R. Kauffman, Aaron P. Mitchell, Ryan S. Baker, Sujith M. Gowda:
Preparing Students for Effective Explaining of Worked Examples in the Genetics Cognitive Tutor. CogSci 2011 - [c52]Janice D. Gobert, Michael Sao Pedro, Orlando Montalvo, Ermal Toto, Matthew Bachmann, Ryan S. Baker:
The Science Assistments Project: Intelligent tutoring for scientific inquiry skills. CogSci 2011 - [c51]Bahador B. Nooraei, Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker:
Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data. EDM 2011: 101-110 - [c50]Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett:
Automatically Detecting a Student's Preparation for Future Learning: Help Use is Key. EDM 2011: 179-188 - [c49]Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan:
Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System. EDM 2011: 189-198 - [c48]Sujith M. Gowda, Jonathan P. Rowe, Ryan Shaun Joazeiro de Baker, Min Chi, Kenneth R. Koedinger:
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty. EDM 2011: 199-208 - [c47]Arnon Hershkovitz, Ryan Shaun Joazeiro de Baker, Janice D. Gobert, Michael Wixon:
Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry. EDM 2011: 315-316 - [c46]Thomas K. Landauer, Rosalind W. Picard, David S. Touretzky, Ryan Shaun Joazeiro de Baker, Robert C. Holte, Amanda J. Stent, Daniel Vanderveken:
Invited Talk Abstracts. FLAIRS 2011 - [c45]Ryan Shaun Joazeiro de Baker, Zachary A. Pardos, Sujith M. Gowda, Bahador B. Nooraei, Neil T. Heffernan:
Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems. UMAP 2011: 13-24 - 2010
- [j3]Ryan Shaun Joazeiro de Baker, Sidney K. D'Mello, Ma. Mercedes T. Rodrigo, Arthur C. Graesser:
Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments. Int. J. Hum. Comput. Stud. 68(4): 223-241 (2010) - [c44]Ryan Shaun Joazeiro de Baker, Sujith M. Gowda:
An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools. EDM 2010: 11-20 - [c43]Orlando Montalvo, Ryan Shaun Joazeiro de Baker, Michael A. Sao Pedro, Adam Nakama, Janice D. Gobert:
Identifying Students' Inquiry Planning Using Machine Learning. EDM 2010: 141-150 - [c42]Michael Sao Pedro, Ryan Shaun Joazeiro de Baker, Orlando Montalvo, Adam Nakama, Janice D. Gobert:
Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns. EDM 2010: 181-190 - [c41]Adam B. Goldstein, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan:
Pinpointing Learning Moments; A finer grain P(J) model. EDM 2010: 289-290 - [c40]Ma. Mercedes T. Rodrigo, Ryan Baker, Julieta Nabos:
The Relationships Between Sequences of Affective States and Learner Achievement. ICCE 2010 - [c39]Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de Carvalho, Jay Raspat, Vincent Aleven, Albert T. Corbett, Kenneth R. Koedinger, Mihaela Cocea, Arnon Hershkovitz:
Educational data mining methods for studying student behaviors minute by minute across an entire school year. ICLS 2010: 47-48 - [c38]Ryan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan:
Detecting the Moment of Learning. Intelligent Tutoring Systems (1) 2010: 25-34 - [c37]Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Jenilyn Agapito, Julieta Nabos, Ma. Concepcion Repalam, Salvador S. Reyes:
Comparing Disengaged Behavior within a Cognitive Tutor in the USA and Philippines. Intelligent Tutoring Systems (2) 2010: 263-265 - [c36]Stephen Giguere, Joseph E. Beck, Ryan Shaun Joazeiro de Baker:
Analyzing Student Gaming with Bayesian Networks. Intelligent Tutoring Systems (2) 2010: 321-323 - [c35]Janice D. Gobert, Orlando Montalvo, Ermal Toto, Michael Sao Pedro, Ryan Shaun Joazeiro de Baker:
The Science Assistments Project: Scaffolding Scientific Inquiry Skills. Intelligent Tutoring Systems (2) 2010: 445 - [c34]John C. Stamper, Kenneth R. Koedinger, Ryan Shaun Joazeiro de Baker, Alida Skogsholm, Brett Leber, Jim Rankin, Sandy Demi:
PSLC DataShop: A Data Analysis Service for the Learning Science Community. Intelligent Tutoring Systems (2) 2010: 455 - [c33]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Sujith M. Gowda, Angela Z. Wagner, Benjamin A. MacLaren, Linda R. Kauffman, Aaron P. Mitchell, Stephen Giguere:
Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor. UMAP 2010: 52-63 - [c32]Ryan Shaun Joazeiro de Baker, Antonija Mitrovic, Moffat Mathews:
Detecting Gaming the System in Constraint-Based Tutors. UMAP 2010: 267-278 - [p1]Ryan Shaun Joazeiro de Baker:
Mining Data for Student Models. Advances in Intelligent Tutoring Systems 2010: 323-337 - [e2]Ryan Shaun Joazeiro de Baker, Agathe Merceron, Philip I. Pavlik Jr.:
Educational Data Mining 2010, The 3rd International Conference on Educational Data Mining, Pittsburgh, PA, USA, June 11-13, 2010. Proceedings. www.educationaldatamining.org 2010, ISBN 978-0-615-37529-8 [contents]
2000 – 2009
- 2009
- [c31]Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de Carvalho, Jay Raspat, Vincent Aleven, Albert T. Corbett, Kenneth R. Koedinger:
Educational Software Features that Encourage and Discourage "Gaming the System". AIED 2009: 475-482 - [c30]Mihaela Cocea, Arnon Hershkovitz, Ryan Shaun Joazeiro de Baker:
The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate? AIED 2009: 507-514 - [c29]Ryan S. Baker:
Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task. EDM 2009: 11-20 - [c28]David Prata, Ryan Shaun Joazeiro de Baker, Evandro de Barros Costa, Carolyn P. Rosé, Yue Cui:
Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments. EDM 2009: 131-140 - [c27]Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker:
Coarse-grained detection of student frustration in an introductory programming course. ICER 2009: 75-80 - [c26]Ma. Mercedes T. Rodrigo, Ryan Shaun Baker, Matthew C. Jadud, Anna Christine M. Amarra, Thomas Dy, Maria Beatriz V. Espejo-Lahoz, Sheryl Ann L. Lim, Sheila A. M. S. Pascua, Jessica O. Sugay, Emily S. Tabanao:
Affective and behavioral predictors of novice programmer achievement. ITiCSE 2009: 156-160 - 2008
- [j2]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Ido Roll, Kenneth R. Koedinger:
Developing a generalizable detector of when students game the system. User Model. User Adapt. Interact. 18(3): 287-314 (2008) - [c25]Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de Carvalho:
Labeling Student Behavior Faster and More Precisely with Text Replays. EDM 2008: 38-47 - [c24]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Vincent Aleven:
Improving Contextual Models of Guessing and Slipping with a Trucated Training Set. EDM 2008: 67-76 - [c23]Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Sidney K. D'Mello, Ma. Celeste T. Gonzalez, Maria C. V. Lagud, Sheryl Ann L. Lim, Alexis F. Macapanpan, Sheila A. M. S. Pascua, Jerry Q. Santillano, Jessica O. Sugay, Sinath Tep, Norma J. B. Viehland:
Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game. Intelligent Tutoring Systems 2008: 40-49 - [c22]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Vincent Aleven:
More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing. Intelligent Tutoring Systems 2008: 406-415 - [e1]Ryan Shaun Joazeiro de Baker, Tiffany Barnes, Joseph E. Beck:
Educational Data Mining 2008, The 1st International Conference on Educational Data Mining, Montreal, Québec, Canada, June 20-21, 2008. Proceedings. www.educationaldatamining.org 2008 [contents] - 2007
- [j1]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger:
The Difficulty Factors Approach to the Design of Lessons in Intelligent Tutor Curricula. Int. J. Artif. Intell. Educ. 17(4): 341-369 (2007) - [c21]Ryan Shaun Joazeiro de Baker, Ma. Mercedes T. Rodrigo, Ulises E. Xolocotzin:
The Dynamics of Affective Transitions in Simulation Problem-Solving Environments. ACII 2007: 666-677 - [c20]Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Baker, Maria C. V. Lagud, Sheryl Ann L. Lim, Alexis F. Macapanpan, Sheila A. M. S. Pascua, Jerry Q. Santillano, Leima R. S. Sevilla, Jessica O. Sugay, Sinath Tep, Norma J. B. Viehland:
Affect and Usage Choices in Simulation Problem-Solving Environments. AIED 2007: 145-152 - [c19]Ido Roll, Vincent Aleven, Roger Azevedo, Ryan Shaun Joazeiro de Baker, Gautam Biswas, Cristina Conati, Amanda Harris, Rosemary Luckin, Antonija Mitrovic, Tom Murray, Barbara White, Philip H. Winne:
Workshop on Metacognition and Self-Regulated Learning in ITSs. AIED 2007: 722 - [c18]Ryan Shaun Joazeiro de Baker:
Modeling and understanding students' off-task behavior in intelligent tutoring systems. CHI 2007: 1059-1068 - [c17]Ryan Shaun Joazeiro de Baker, M. P. Jacob Habgood, Shaaron Ainsworth, Albert T. Corbett:
Modeling the Acquisition of Fluent Skill in Educational Action Games. User Modeling 2007: 17-26 - 2006
- [c16]Ido Roll, Vincent Aleven, Bruce M. McLaren, Eunjeong Ryu, Ryan Shaun Joazeiro de Baker, Kenneth R. Koedinger:
The Help Tutor: Does Metacognitive Feedback Improve Students' Help-Seeking Actions, Skills and Learning? Intelligent Tutoring Systems 2006: 360-369 - [c15]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger, Shelley Evenson, Ido Roll, Angela Z. Wagner, Meghan Naim, Jay Raspat, Daniel J. Baker, Joseph E. Beck:
Adapting to When Students Game an Intelligent Tutoring System. Intelligent Tutoring Systems 2006: 392-401 - [c14]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll:
Generalizing Detection of Gaming the System Across a Tutoring Curriculum. Intelligent Tutoring Systems 2006: 402-411 - 2005
- [c13]Ryan Shaun Baker, Ido Roll, Albert T. Corbett, Kenneth R. Koedinger:
Do Performance Goals Lead Students to Game the System? AIED 2005: 57-64 - [c12]James Fogarty, Ryan S. Baker, Scott E. Hudson:
Case studies in the use of ROC curve analysis for sensor-based estimates in human computer interaction. Graphics Interface 2005: 129-136 - [c11]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll:
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts. User Modeling 2005: 220-224 - [c10]Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger:
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems. User Modeling 2005: 367-376 - 2004
- [c9]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Angela Z. Wagner:
Off-task behavior in the cognitive tutor classroom: when students "game the system". CHI 2004: 383-390 - [c8]Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger:
What Goals Do Students Have When Choosing the Actions They Perform? ICCM 2004: 380-381 - [c7]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger:
Learning to Distinguish Between Representations of Data: A Cognitive Tutor That Uses Contrasting Cases. ICLS 2004 - [c6]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger:
Detecting Student Misuse of Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 531-540 - [c5]Ryan Shaun Baker, Angela Z. Wagner, Albert T. Corbett, Kenneth R. Koedinger:
The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 785-787 - [c4]Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger:
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 854-856 - [c3]Joseph Beck, Ryan Shaun Baker, Albert T. Corbett, Judy Kay, Diane J. Litman, Tanja Mitrovic, Steven Ritter:
Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. Intelligent Tutoring Systems 2004: 909 - 2003
- [c2]Laura Dabbish, Ryan Shaun Baker:
Administrative assistants as interruption mediators. CHI Extended Abstracts 2003: 1020-1021
1990 – 1999
- 1999
- [c1]Ryan Shaun Baker, Michael Boilen, Michael T. Goodrich, Roberto Tamassia, B. Aaron Stibel:
Testers and visualizers for teaching data structures. SIGCSE 1999: 261-265
Coauthor Index
Ma. Victoria Almeda
aka: Mia Victoria Almeda
aka: Mia Victoria Almeda
Juan Miguel L. Andres
aka: Juan Miguel Limjap Andres
aka: Juan Miguel Limjap Andres
Juan Miguel L. Andres-Bray
aka: Miguel Andres-Bray
aka: Miguel Andres-Bray
Sidney K. D'Mello
aka: Sidney D'Mello
aka: Sidney D'Mello
Neil T. Heffernan
aka: Neil Thomas Heffernan III
aka: Neil Thomas Heffernan III
Kenneth R. Koedinger
aka: Ken Koedinger
aka: Ken Koedinger
Jaclyn Ocumpaugh
aka: Jaclyn L. Ocumpaugh
aka: Jaclyn L. Ocumpaugh
[j51] [c274] [c272] [c271] [j48] [j47] [j46] [c262] [c260] [j42] [c244] [j35] [c235] [c231] [c230] [c227] [c225] [j34] [c219] [c218] [c216] [c206] [c203] [c197] [c193] [c188] [c186] [c185] [c179] [c178] [c170] [c166] [c165] [c163] [c149] [j24] [j22] [c144] [c143] [c141] [j20] [c135] [c132] [c125] [c117] [c115] [c114] [c111] [c110] [j18] [c107] [c106] [c104] [c98] [c97] [c89] [c82] [c74] [c69] [c63]
Maria Ofelia Clarissa Z. San Pedro
aka: Maria Ofelia San Pedro
aka: Maria Ofelia San Pedro
Michael A. Sao Pedro
aka: Michael Sao Pedro
aka: Michael Sao Pedro
Maria Mercedes T. Rodrigo
aka: Ma. Mercedes T. Rodrigo
aka: Ma. Mercedes T. Rodrigo
Valerie J. Shute
aka: Valerie Shute
aka: Valerie Shute
Stefan Slater
aka: Stefan A. Slater
aka: Stefan A. Slater
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2025-02-07 23:51 CET by the dblp team
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