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ORCIDSarah Smith Heckman
Sarah Heckman
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- affiliation: North Carolina State University, Raleigh, USA
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2020 – today
- 2024
[c54]Zhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin F. Lynch, Sarah Heckman:
Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course. EDM 2024- [c53]Shanon M. Reckinger
, Joe Hummel, Sarah Heckman:
Traditional vs. Flexible Modalities in a Data Structures Class. SIGCSE (1) 2024: 1112-1118 - [c52]Gabriel Silva de Oliveira, Zhikai Gao, Sarah Heckman, Collin F. Lynch:
Exploring Novice Programmers' Testing Behavior: A First Step to Define Coding Struggle. SIGCSE (1) 2024: 1251-1257 - [c51]Zhikai Gao, Adam M. Gaweda, Collin F. Lynch, Sarah Heckman, Damilola Babalola, Gabriel Silva de Oliveira:
Using Survival Analysis to Model Students' Patience in Online Office Hour Queues. SIGCSE (2) 2024: 1646-1647 - [c50]Monica M. McGill, Sarah Heckman, Michael Liut, Ismaila Temitayo Sanusi, Claudia Szabo:
Unlocking Excellence in Educational Research: Guidelines for High-Quality Research that Promotes Learning for All. SIGCSE (2) 2024: 1871-1872 - 2023
- [c49]Debarati Basu, Sarah Heckman:
Impact of Study Groups on Students' Learning and Engagement: Across Different Online Formats of a Web-development Course. FIE 2023: 1-7 - [c48]Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee:
Improving Grading Outcomes in Software Engineering Projects Through Automated Contributions Summaries. SEET@ICSE 2023: 259-270 - [c47]Monica M. McGill, Sarah Heckman, Christos Chytas, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo:
Conducting Sound, Equity-Enabling Computing Education Research. ITiCSE-WGR 2023: 30-56 - [c46]Gina R. Bai, Sandeep Sthapit, Sarah Heckman, Thomas W. Price, Kathryn T. Stolee:
An Experience Report on Introducing Explicit Strategies into Testing Checklists for Advanced Beginners. ITiCSE (1) 2023: 194-200 - [c45]Matthew Zahn, Isabella Gransbury, Sarah Heckman, Lina Battestilli:
Assessment of Self-Identified Learning Struggles in CS2 Programming Assignments. ITiCSE (1) 2023: 264-270 - [c44]Monica M. McGill, Sarah Heckman, Christos Chytas, Lien Diaz, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo:
Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research. ITiCSE (2) 2023: 565-566 - [c43]Monica M. McGill, Angelica Thompson, Isabella Gransbury, Sarah Heckman, Jennifer Rosato, Leigh Ann DeLyser:
Building upon the CAPE Framework for Broader Understanding of Capacity in K-12 CS Education. SIGCSE (1) 2023: 577-582 - [c42]Matthew Zahn, Sarah Heckman:
Observations on Student Help-Seeking Behaviors in Introductory Computer Science Courses. SIGCSE (2) 2023: 1380 - 2022
- [j9]Sarah Heckman, Jeffrey C. Carver, Mark Sherriff, Ahmed Al-Zubidy:
A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature. ACM Trans. Comput. Educ. 22(1): 3:1-3:46 (2022) - [c41]Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments. EDM 2022 - [c40]Isabella Gransbury, Monica M. McGill, Angelica Thompson, Sarah Heckman, Jennifer Rosato, Leigh Ann DeLyser:
A Framework of Factors that Influence Academic Achievement in Computer Science within Capacity, Access, Participation and Experience. ICER (2) 2022: 28-29 - [c39]Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee:
What Makes Team[s] Work? A Study of Team Characteristics in Software Engineering Projects. ICER (1) 2022: 177-188 - [c38]Bradley Erickson, Sarah Heckman, Collin F. Lynch:
Characterizing Student Development Progress: Validating Student Adherence to Project Milestones. SIGCSE (1) 2022: 15-21 - [c37]Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee:
Identifying Struggling Teams in Software Engineering Courses Through Weekly Surveys. SIGCSE (1) 2022: 126-132 - [c36]Zhikai Gao, Sarah Heckman, Collin F. Lynch:
Who Uses Office Hours?: A Comparison of In-Person and Virtual Office Hours Utilization. SIGCSE (1) 2022: 300-306 - [c35]Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Designing a Dashboard for Student Teamwork Analysis. SIGCSE (1) 2022: 446-452 - [c34]Jeffrey C. Carver, Sarah Heckman, Mark Sherriff:
Training Computing Educators to Become Computing Education Researchers. SIGCSE (1) 2022: 724-730 - [c33]Amogh Mannekote, Mehmet Celepkolu, Aisha Chung Galdo, Kristy Elizabeth Boyer, Maya Israel, Sarah Heckman, Kristin Stephens-Martinez:
Don't Just Paste Your Stacktrace: Shaping Discussion Forums in Introductory CS Courses. SIGCSE (2) 2022: 1164 - [c32]Sarah Heckman, Mia Minnes:
Academic Middle Management: Undergraduate Leadership in Computing Programs. SIGCSE (2) 2022: 1184 - 2021
- [c31]Zhikai Gao, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Automatically classifying student help requests: a multi-year analysis. EDM 2021 - [c30]Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee:
SQLRepair: Identifying and Repairing Mistakes in Student-Authored SQL Queries. ICSE (SEET) 2021: 199-210 - [c29]Debarati Basu, Sarah Heckman, Mary Lou Maher:
Online Vs Face-to-face Web-development Course: Course Strategies, Learning, and Engagement. SIGCSE 2021: 1191-1197 - [c28]Ruth Okoilu Akintunde, Ally Limke, Tiffany Barnes, Sarah Heckman, Collin F. Lynch:
PEDI - Piazza Explorer Dashboard for Intervention. VL/HCC 2021: 1-4 - [i10]Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee:
SQLRepair: Identifying and Repairing Mistakes in Student-Authored SQL Queries. CoRR abs/2102.05729 (2021) - [i9]Sarah Heckman, Jeffrey C. Carver, Mark Sherriff, Ahmed Al-Zubidy:
A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature. CoRR abs/2107.01984 (2021) - [i8]Jeffrey C. Carver, Sarah Heckman, Mark Sherriff:
Training Computing Educators to Become Computing Education Researchers. CoRR abs/2110.05560 (2021) - [i7]Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Designing a Dashboard for Student Teamwork Analysis. CoRR abs/2112.04465 (2021) - 2020
- [c27]Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Student Teamwork on Programming Projects. What can GitHub logs show us? EDM 2020 - [c26]Sarah Heckman, Jessica Young Schmidt, Jason King:
Integrating Testing Throughout the CS Curriculum. ICST Workshops 2020: 441-444 - [e2]Jian Zhang, Mark Sherriff, Sarah Heckman, Pamela A. Cutter, Alvaro E. Monge:
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, SIGCSE 2020, Portland, OR, USA, March 11-14, 2020. ACM 2020, ISBN 978-1-4503-6793-6 [contents] - [i6]Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
Student Teamwork on Programming Projects: What can GitHub logs show us? CoRR abs/2008.11262 (2020)
2010 – 2019
- 2019
- [j8]Elizabeth K. Hawthorne, Manuel A. Pérez-Quiñones, Sarah Heckman, Jian Zhang:
SIGCSE technical symposium 2019 report. ACM SIGCSE Bull. 51(2): 2-4 (2019) - [j7]Jian Zhang, Mark Sherriff, Sarah Heckman, Pamela A. Cutter, Alvaro E. Monge:
SIGCSE technical symposium 2020 call for submissions. ACM SIGCSE Bull. 51(3): 2-3 (2019) - [j6]Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses. IEEE Trans. Learn. Technol. 12(2): 184-197 (2019) - [c25]Niki Gitinabard, Tiffany Barnes, Sarah Heckman, Collin F. Lynch:
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. EDM 2019 - [c24]Kai Presler-Marshall, Eric Horton, Sarah Heckman, Kathryn T. Stolee:
Wait wait. No, tell me: analyzing selenium configuration effects on test flakiness. AST@ICSE 2019: 7-13 - [e1]Elizabeth K. Hawthorne, Manuel A. Pérez-Quiñones, Sarah Heckman, Jian Zhang:
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, SIGCSE 2019, Minneapolis, MN, USA, February 27 - March 02, 2019. ACM 2019, ISBN 978-1-4503-5890-3 [contents] - [i5]Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
How Widely Can Prediction Models be Generalized? An Analysis of Performance Prediction in Blended Courses. CoRR abs/1904.07328 (2019) - [i4]Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman:
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses. CoRR abs/1904.07331 (2019) - [i3]Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. CoRR abs/1905.00928 (2019) - 2018
- [j5]Mark Sherriff, Sarah Heckman:
Capstones and Large Projects in Computing Education. ACM Trans. Comput. Educ. 18(2): 6:1-6:4 (2018) - [j4]Sarah Heckman, Jian Zhang, Manuel A. Pérez-Quiñones, Elizabeth K. Hawthorne:
SIGCSE 2019 paper length change. ACM SIGCSE Bull. 50(2): 4 (2018) - [j3]Sarah Heckman, Jian Zhang, Manuel A. Pérez-Quiñones, Elizabeth K. Hawthorne:
What is a SIGCSE symposium paper? ACM SIGCSE Bull. 50(3): 3 (2018) - [c23]Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman:
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses. EDM 2018 - [c22]Sarah Heckman, Kathryn T. Stolee, Christopher Parnin:
10+ years of teaching software engineering with itrust: the good, the bad, and the ugly. ICSE (SEET) 2018: 1-4 - [c21]Sarah Heckman, Jason King:
Developing Software Engineering Skills using Real Tools for Automated Grading. SIGCSE 2018: 794-799 - [c20]Jeffrey C. Carver, Sarah Heckman, Mark Sherriff:
Designing Empirical Education Research Studies (DEERS): Creating an Answerable Research Question (Abstract Only). SIGCSE 2018: 1051 - 2017
- [c19]Niki Gitinabard, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Identifying student communities in blended courses. EDM 2017 - [c18]Aaron J. Smith, Kristy Elizabeth Boyer, Jeffrey Forbes, Sarah Heckman, Ketan Mayer-Patel:
My Digital Hand: A Tool for Scaling Up One-to-One Peer Teaching in Support of Computer Science Learning. SIGCSE 2017: 549-554 - [c17]Mickey Vellukunnel, Philip Sheridan Buffum, Kristy Elizabeth Boyer, Jeffrey Forbes, Sarah Heckman, Ketan Mayer-Patel:
Deconstructing the Discussion Forum: Student Questions and Computer Science Learning. SIGCSE 2017: 603-608 - [c16]Sarah Heckman, Jeffrey C. Carver, Mark Sherriff:
Designing Empirical Education Research Studies (DEERS): Creating an Answerable Research Question (Abstract Only). SIGCSE 2017: 737 - [i2]Niki Gitinabard, Linting Xue, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
A Social Network Analysis on Blended Courses. CoRR abs/1709.10215 (2017) - [i1]Niki Gitinabard, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Identifying Student Communities in Blended Courses. CoRR abs/1710.04129 (2017) - 2016
- [c15]Ahmed Al-Zubidy, Jeffrey C. Carver, Sarah Heckman, Mark Sherriff:
A (Updated) Review of Empiricism at the SIGCSE Technical Symposium. SIGCSE 2016: 120-125 - [c14]Sarah Heckman, Jason King:
Teaching Software Engineering Skills in CS1.5: Incorporating Real-world Practices and Tools (Abstract Only). SIGCSE 2016: 696-697 - [c13]Brittany Johnson, Rahul Pandita, Justin Smith, Denae Ford, Sarah Elder, Emerson R. Murphy-Hill, Sarah Heckman, Caitlin Sadowski:
A cross-tool communication study on program analysis tool notifications. SIGSOFT FSE 2016: 73-84 - 2015
- [c12]Sarah Smith Heckman:
An Empirical Study of In-Class Laboratories on Student Learning of Linear Data Structures. ICER 2015: 217-225 - [c11]Paul V. Anderson, Sarah Heckman, Mladen A. Vouk, David Wright, Michael Carter, Janet E. Burge, Gerald C. Gannod:
CS/SE Instructors Can Improve Student Writing without Reducing Class Time Devoted to Technical Content: Experimental Results. ICSE (2) 2015: 455-464 - [c10]Sarah Heckman, Jason King, Michael Winters:
Automating Software Engineering Best Practices Using an Open Source Continuous Integration Framework (Abstract Only). SIGCSE 2015: 677 - [c9]Mark Sherriff, Sarah Heckman:
Empirical Research in CS Education (Abstract Only). SIGCSE 2015: 701 - [c8]Brittany Johnson, Rahul Pandita, Emerson R. Murphy-Hill, Sarah Heckman:
Bespoke tools: adapted to the concepts developers know. ESEC/SIGSOFT FSE 2015: 878-881 - 2013
- [c7]Sarah Smith Heckman, Laurie A. Williams:
A comparative evaluation of static analysis actionable alert identification techniques. PROMISE 2013: 4:1-4:10 - 2011
- [j2]Sarah Smith Heckman, Laurie A. Williams:
A systematic literature review of actionable alert identification techniques for automated static code analysis. Inf. Softw. Technol. 53(4): 363-387 (2011) - [c6]Sarah Smith Heckman, Thomas B. Horton, Mark Sherriff:
Teaching second-level Java and software engineering with Android. CSEE&T 2011: 540-542
2000 – 2009
- 2009
- [c5]Sarah Smith Heckman, Laurie A. Williams:
A Model Building Process for Identifying Actionable Static Analysis Alerts. ICST 2009: 161-170 - 2008
- [c4]Sarah Smith Heckman, Laurie A. Williams:
On establishing a benchmark for evaluating static analysis alert prioritization and classification techniques. ESEM 2008: 41-50 - 2007
- [j1]Sarah Smith Heckman:
Adaptively ranking alerts generated from automated static analysis. ACM Crossroads 14(1) (2007) - [c3]Mark Sherriff, Sarah Smith Heckman, Mike Lake, Laurie A. Williams:
Identifying fault-prone files using static analysis alerts through singular value decomposition. CASCON 2007: 276-279 - [c2]Sarah Smith Heckman:
Adaptive Probabilistic Model for Ranking Code-Based Static Analysis Alerts. ICSE Companion 2007: 89-90 - [c1]Mark Sherriff, Sarah Smith Heckman, J. Michael Lake, Laurie A. Williams:
Using groupings of static analysis alerts to identify files likely to contain field failures. ESEC/SIGSOFT FSE 2007: 565-568
Coauthor Index
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last updated on 2024-10-31 21:08 CET by the dblp team
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