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Michael Eagle
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2020 – today
- 2020
- [c52]Ajay Kulkarni, Michael Eagle:
Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors. EDM 2020 - [c51]Ajay Kulkarni, Michael Eagle:
Estimating Effects of the Decision Support System on Educational Agents with Simulations. SpringSim 2020: 1-12
2010 – 2019
- 2018
- [c50]Michael Eagle, Ted Carmichael, Jessica Stokes, Mary Jean Blink, John C. Stamper, Jason Levin:
Predictive Student Modeling for Interventions in Online Classes. EDM 2018 - [c49]Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren:
Predicting Individualized Learner Models Across Tutor Lessons. EDM 2018 - [c48]Mary Jean Blink, Ted Carmichael, Jennifer Murphy, Michael Eagle:
Predictive Models of User Performance for Marksmanship Training. FLAIRS 2018: 439-442 - [c47]Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu:
Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help. ICLS 2018 - [c46]Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu:
Data-driven generation of rubric criteria from an educational programming environment. LAK 2018: 16-20 - 2017
- [j3]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) - [j2]Shuchi Grover, Satabdi Basu, Marie A. Bienkowski, Michael Eagle, Nicholas Diana, John C. Stamper:
A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments. ACM Trans. Comput. Educ. 17(3): 14:1-14:25 (2017) - [c45]Joseph Seering, Saiph Savage, Michael Eagle, Joshua Churchin, Rachel Moeller, Jeffrey P. Bigham, Jessica Hammer:
Audience Participation Games: Blurring the Line Between Player and Spectator. Conference on Designing Interactive Systems 2017: 429-440 - [c44]Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu:
Data-Driven Generation of Rubric Parameters from an Educational Programming Environment. AIED 2017: 490-493 - [c43]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 - [c42]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED 2017: 605-608 - [c41]Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu:
Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help. EDM 2017 - [c40]Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu:
An instructor dashboard for real-time analytics in interactive programming assignments. LAK 2017: 272-279 - [c39]Shuchi Grover, Marie A. Bienkowski, Satabdi Basu, Michael Eagle, Nicholas Diana, John C. Stamper:
A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming. LAK 2017: 530-531 - 2016
- [c38]Andrew Hicks, Zhongxiu Liu, Michael Eagle, Tiffany Barnes:
Measuring Gameplay Affordances of User-Generated Content in an Educational Game. EDM 2016: 78-85 - [c37]Elizabeth Rowe, Jodi Asbell-Clarke, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards:
Validating Game-based Measures of Implicit Science Learning. EDM 2016: 490-495 - [c36]Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger:
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. EDM 2016: 583-584 - [c35]Michael Eagle, Albert T. Corbett, John C. Stamper, Bruce M. McLaren, Angela Z. Wagner, Benjamin A. MacLaren, Aaron P. Mitchell:
Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data. ITS 2016: 133-143 - [c34]Drew Hicks, Michael Eagle, Elizabeth Rowe, Jodi Asbell-Clarke, Teon Edwards, Tiffany Barnes:
Using game analytics to evaluate puzzle design and level progression in a serious game. LAK 2016: 440-448 - [c33]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 - 2015
- [c32]Michael Eagle, Tiffany Barnes:
Exploring Missing Behaviors with Region-Level Interaction Network Coverage. AIED 2015: 831-835 - [c31]Michael Eagle, Elizabeth Rowe, Drew Hicks, Rebecca Brown, Tiffany Barnes, Jodi Asbell-Clarke, Teon Edwards:
Measuring Implicit Science Learning with Networks of Player-Game Interactions. CHI PLAY 2015: 499-504 - [c30]Michael Eagle, Andrew Hicks, Tiffany Barnes:
Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments. EDM 2015: 342-349 - [c29]Michael Eagle, Rebecca Brown, Elizabeth Rowe, Tiffany Barnes, Jodi Asbell-Clarke, Teon Edwards:
Exploring Problem-Solving Behavior in an Optics Game. EDM 2015: 584-585 - [c28]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 - [c27]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 - [c26]Michael Eagle:
Estimating the Local Size and Coverage of Interaction Network Regions. EDM 2015: 671-673 - [c25]Michael Eagle, Andrew Hicks, Barry W. Peddycord III, Tiffany Barnes:
Exploring networks of problem-solving interactions. LAK 2015: 21-30 - [c24]Behrooz Mostafavi, Michael Eagle, Tiffany Barnes:
Towards data-driven mastery learning. LAK 2015: 270-274 - 2014
- [c23]Michael Eagle, Tiffany Barnes:
Exploring Differences in Problem Solving with Data-Driven Approach Maps. EDM 2014: 76-83 - [c22]Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi, Tiffany Barnes:
Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor. EDM 2014: 249-252 - [c21]Michael Eagle, Tiffany Barnes:
Data-Driven Feedback Beyond Next-Step Hints. EDM 2014: 444-446 - [c20]Michael Eagle, Tiffany Barnes:
Survival Analysis on Duration Data in Intelligent Tutors. Intelligent Tutoring Systems 2014: 178-187 - [c19]Michael Eagle, Tiffany Barnes:
Modeling Student Dropout in Tutoring Systems. Intelligent Tutoring Systems 2014: 676-678 - 2013
- [j1]John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy:
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. Int. J. Artif. Intell. Educ. 22(1-2): 3-17 (2013) - [c18]Michael Eagle, Tiffany Barnes, Matthew W. Johnson:
Effects of Automatically Generated Hints on Time in a Logic Tutor. AIED Workshops 2013 - [c17]Matthew W. Johnson, Michael Eagle, Tiffany Barnes:
InVis: An Interactive Visualization Tool for Exploring Interaction Networks. EDM 2013: 82-89 - [c16]Matthew W. Johnson, Michael Eagle, John C. Stamper, Tiffany Barnes:
An Algorithm for Reducing the Complexity of Interaction Networks. EDM 2013: 248-251 - [c15]Michael Eagle, Tiffany Barnes:
Evaluation of Automatically Generated Hint Feedback. EDM 2013: 372-374 - [c14]Michael Eagle, Matthew W. Johnson, Tiffany Barnes, Acey Kreisler Boyce:
Exploring player behavior with visual analytics. FDG 2013: 380-383 - [c13]Aaron Springer, Matthew W. Johnson, Michael Eagle, Tiffany Barnes:
Using sequential pattern mining to increase graph comprehension in intelligent tutoring system student data (abstract only). SIGCSE 2013: 732 - 2012
- [c12]Michael Eagle, Matthew W. Johnson, Tiffany Barnes:
Interaction Networks: Generating High Level Hints Based on Network Community Clusterings. EDM 2012: 164-167 - [c11]Wei Jin, Tiffany Barnes, John C. Stamper, Michael John Eagle, Matthew W. Johnson, Lorrie Lehmann:
Program Representation for Automatic Hint Generation for a Data-Driven Novice Programming Tutor. ITS 2012: 304-309 - [c10]Michael John Eagle, Tiffany Barnes:
Data-Driven Method for Assessing Skill-Opportunity Recognition in Open Procedural Problem Solving Environments. ITS 2012: 615-617 - [c9]Michael John Eagle, Tiffany Barnes:
A learning objective focused methodology for the design and evaluation of game-based tutors. SIGCSE 2012: 99-104 - 2011
- [c8]John C. Stamper, Michael Eagle, Tiffany Barnes, Marvin J. Croy:
Experimental Evaluation of Automatic Hint Generation for a Logic Tutor. AIED 2011: 345-352 - [c7]Matthew W. Johnson, Michael Eagle, Leena Joseph, Tiffany Barnes:
The EDM Vis Tool. EDM 2011: 349-350 - 2010
- [c6]Michael Eagle, Tiffany Barnes:
Intelligent Tutoring Systems, Educational Data Mining, and the Design and Evaluation of Video Games. Intelligent Tutoring Systems (2) 2010: 215-217
2000 – 2009
- 2009
- [c5]Michael Eagle, Tiffany Barnes:
Evaluation of a game-based lab assignment. FDG 2009: 64-70 - [c4]Michael Eagle:
Level up: a frame work for the design and evaluation of educational games. FDG 2009: 339-341 - [c3]Michael Eagle, Tiffany Barnes:
Experimental evaluation of an educational game for improved learning in introductory computing. SIGCSE 2009: 321-325 - 2008
- [c2]Michael Eagle, Tiffany Barnes:
Wu's castle: teaching arrays and loops in a game. ITiCSE 2008: 245-249 - 2007
- [c1]Michael Eagle:
Wu's castle: teaching for loops and arrays using games. Richard Tapia Celebration of Diversity in Computing Conference 2007: 29
Coauthor Index
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