Sarah Smith Heckman

According to our database, Sarah Smith Heckman authored at least 64 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Traditional vs. Flexible Modalities in a Data Structures Class.

Shanon M. Reckinger, Joe Hummel, Sarah Heckman

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Exploring Novice Programmers' Testing Behavior: A First Step to Define Coding Struggle.

Gabriel Silva de Oliveira, Zhikai Gao, Sarah Heckman, Collin F. Lynch

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Unlocking Excellence in Educational Research: Guidelines for High-Quality Research that Promotes Learning for All.

Monica M. McGill, Sarah Heckman, Michael Liut, Ismaila Temitayo Sanusi, Claudia Szabo

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Using Survival Analysis to Model Students' Patience in Online Office Hour Queues.

Zhikai Gao, Adam M. Gaweda, Collin F. Lynch, Sarah Heckman, Damilola Babalola, Gabriel Silva de Oliveira

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course.

Zhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin F. Lynch, Sarah Heckman

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Observations on Student Help-Seeking Behaviors in Introductory Computer Science Courses.

Matthew Zahn, Sarah Heckman

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Building upon the CAPE Framework for Broader Understanding of Capacity in K-12 CS Education.

Monica M. McGill, Angelica Thompson, Isabella Gransbury, Sarah Heckman, Jennifer Rosato, Leigh Ann DeLyser

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Assessment of Self-Identified Learning Struggles in CS2 Programming Assignments.

Matthew Zahn, Isabella Gransbury, Sarah Heckman, Lina Battestilli

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Conducting Sound, Equity-Enabling Computing Education Research.

Monica M. McGill, Sarah Heckman, Christos Chytas, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo

Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research.

Monica M. McGill, Sarah Heckman, Christos Chytas, Lien Diaz, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

An Experience Report on Introducing Explicit Strategies into Testing Checklists for Advanced Beginners.

Gina R. Bai, Sandeep Sthapit, Sarah Heckman, Thomas W. Price, Kathryn T. Stolee

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Improving Grading Outcomes in Software Engineering Projects Through Automated Contributions Summaries.

Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2023

Impact of Study Groups on Students' Learning and Engagement: Across Different Online Formats of a Web-development Course.

Debarati Basu, Sarah Heckman

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature.

Sarah Heckman, Jeffrey C. Carver, Mark Sherriff, Ahmed Al-Zubidy

ACM Trans. Comput. Educ., 2022

Identifying Struggling Teams in Software Engineering Courses Through Weekly Surveys.

Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Don't Just Paste Your Stacktrace: Shaping Discussion Forums in Introductory CS Courses.

Amogh Mannekote, Mehmet Celepkolu, Aisha Chung Galdo, Kristy Elizabeth Boyer, Maya Israel, Sarah Heckman, Kristin Stephens-Martinez

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Academic Middle Management: Undergraduate Leadership in Computing Programs.

Sarah Heckman, Mia Minnes

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Designing a Dashboard for Student Teamwork Analysis.

Niki Gitinabard, Sarah Heckman, Tiffany Barnes, Collin F. Lynch

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Who Uses Office Hours?: A Comparison of In-Person and Virtual Office Hours Utilization.

Zhikai Gao, Sarah Heckman, Collin F. Lynch

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Characterizing Student Development Progress: Validating Student Adherence to Project Milestones.

Bradley Erickson, Sarah Heckman, Collin F. Lynch

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Training Computing Educators to Become Computing Education Researchers.

Jeffrey C. Carver, Sarah Heckman, Mark Sherriff

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

What Makes Team[s] Work? A Study of Team Characteristics in Software Engineering Projects.

Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee

Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

A Framework of Factors that Influence Academic Achievement in Computer Science within Capacity, Access, Participation and Experience.

Isabella Gransbury, Monica M. McGill, Angelica Thompson, Sarah Heckman, Jennifer Rosato, Leigh Ann DeLyser

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2022

Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments.

Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin F. Lynch, Sarah Heckman, Tiffany Barnes

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

PEDI - Piazza Explorer Dashboard for Intervention.

Ruth Okoilu Akintunde, Ally Limke, Tiffany Barnes, Sarah Heckman, Collin F. Lynch

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2021

Online Vs Face-to-face Web-development Course: Course Strategies, Learning, and Engagement.

Debarati Basu, Sarah Heckman, Mary Lou Maher

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

SQLRepair: Identifying and Repairing Mistakes in Student-Authored SQL Queries.

Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2021

Automatically classifying student help requests: a multi-year analysis.

Zhikai Gao, Collin F. Lynch, Sarah Heckman, Tiffany Barnes

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Integrating Testing Throughout the CS Curriculum.

Sarah Heckman, Jessica Young Schmidt, Jason King

Proceedings of the 13th IEEE International Conference on Software Testing, 2020

Student Teamwork on Programming Projects. What can GitHub logs show us?

Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses.

Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch

IEEE Trans. Learn. Technol., 2019

SIGCSE technical symposium 2020 call for submissions.

Jian Zhang, Mark Sherriff, Sarah Heckman, Pamela A. Cutter, Alvaro E. Monge

ACM SIGCSE Bull., 2019

SIGCSE technical symposium 2019 report.

Elizabeth K. Hawthorne, Manuel A. Pérez-Quiñones, Sarah Heckman, Jian Zhang

ACM SIGCSE Bull., 2019

How Widely Can Prediction Models be Generalized? An Analysis of Performance Prediction in Blended Courses.

Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch

CoRR, 2019

Wait wait. No, tell me: analyzing selenium configuration effects on test flakiness.

Kai Presler-Marshall, Eric Horton, Sarah Heckman, Kathryn T. Stolee

Proceedings of the 14th International Workshop on Automation of Software Test, 2019

What will you do next? A sequence analysis on the student transitions between online platforms in blended courses.

Niki Gitinabard, Tiffany Barnes, Sarah Heckman, Collin F. Lynch

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

What is a SIGCSE symposium paper?

Sarah Heckman, Jian Zhang, Manuel A. Pérez-Quiñones, Elizabeth K. Hawthorne

ACM SIGCSE Bull., 2018

SIGCSE 2019 paper length change.

Sarah Heckman, Jian Zhang, Manuel A. Pérez-Quiñones, Elizabeth K. Hawthorne

ACM SIGCSE Bull., 2018

Capstones and Large Projects in Computing Education.

Mark Sherriff, Sarah Heckman

ACM Trans. Comput. Educ., 2018

Developing Software Engineering Skills using Real Tools for Automated Grading.

Sarah Heckman, Jason King

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

10+ years of teaching software engineering with itrust: the good, the bad, and the ugly.

Sarah Heckman, Kathryn T. Stolee, Christopher Parnin

Proceedings of the 40th International Conference on Software Engineering: Software Engineering Education and Training, 2018

Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses.

Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

A Social Network Analysis on Blended Courses.

Niki Gitinabard, Linting Xue, Collin F. Lynch, Sarah Heckman, Tiffany Barnes

CoRR, 2017

Deconstructing the Discussion Forum: Student Questions and Computer Science Learning.

Mickey Vellukunnel, Philip Sheridan Buffum, Kristy Elizabeth Boyer, Jeffrey Forbes, Sarah Heckman, Ketan Mayer-Patel

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

My Digital Hand: A Tool for Scaling Up One-to-One Peer Teaching in Support of Computer Science Learning.

Aaron J. Smith, Kristy Elizabeth Boyer, Jeffrey Forbes, Sarah Heckman, Ketan Mayer-Patel

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Designing Empirical Education Research Studies (DEERS): Creating an Answerable Research Question (Abstract Only).

Sarah Heckman, Jeffrey C. Carver, Mark Sherriff

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Identifying student communities in blended courses.

Niki Gitinabard, Collin F. Lynch, Sarah Heckman, Tiffany Barnes

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

A cross-tool communication study on program analysis tool notifications.

Brittany Johnson, Rahul Pandita, Justin Smith, Denae Ford, Sarah Elder, Emerson R. Murphy-Hill, Sarah Heckman, Caitlin Sadowski

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Teaching Software Engineering Skills in CS1.5: Incorporating Real-world Practices and Tools (Abstract Only).

Sarah Heckman, Jason King

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

A (Updated) Review of Empiricism at the SIGCSE Technical Symposium.

Ahmed Al-Zubidy, Jeffrey C. Carver, Sarah Heckman, Mark Sherriff

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

2015

Bespoke tools: adapted to the concepts developers know.

Brittany Johnson, Rahul Pandita, Emerson R. Murphy-Hill, Sarah Heckman

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Empirical Research in CS Education (Abstract Only).

Mark Sherriff, Sarah Heckman

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Automating Software Engineering Best Practices Using an Open Source Continuous Integration Framework (Abstract Only).

Sarah Heckman, Jason King, Michael Winters

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

CS/SE Instructors Can Improve Student Writing without Reducing Class Time Devoted to Technical Content: Experimental Results.

Paul V. Anderson, Sarah Heckman, Mladen A. Vouk, David Wright, Michael Carter, Janet E. Burge, Gerald C. Gannod

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

An Empirical Study of In-Class Laboratories on Student Learning of Linear Data Structures.

Sarah Smith Heckman

Proceedings of the eleventh annual International Conference on International Computing Education Research, 2015

2013

A comparative evaluation of static analysis actionable alert identification techniques.

Sarah Smith Heckman, Laurie A. Williams

Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

2011

A systematic literature review of actionable alert identification techniques for automated static code analysis.

Sarah Smith Heckman, Laurie A. Williams

Inf. Softw. Technol., 2011

Teaching second-level Java and software engineering with Android.

Sarah Smith Heckman, Thomas B. Horton, Mark Sherriff

Proceedings of the 24th IEEE-CS Conference on Software Engineering Education and Training, 2011

2009

A Model Building Process for Identifying Actionable Static Analysis Alerts.

Sarah Smith Heckman, Laurie A. Williams

Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009

2008

On establishing a benchmark for evaluating static analysis alert prioritization and classification techniques.

Sarah Smith Heckman, Laurie A. Williams

Proceedings of the Second International Symposium on Empirical Software Engineering and Measurement, 2008

2007

Adaptively ranking alerts generated from automated static analysis.

Sarah Smith Heckman

ACM Crossroads, 2007

Using groupings of static analysis alerts to identify files likely to contain field failures.

Mark Sherriff, Sarah Smith Heckman, J. Michael Lake, Laurie A. Williams

Proceedings of the 6th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2007

Adaptive Probabilistic Model for Ranking Code-Based Static Analysis Alerts.

Sarah Smith Heckman

Proceedings of the 29th International Conference on Software Engineering (ICSE 2007), 2007

Identifying fault-prone files using static analysis alerts through singular value decomposition.

Mark Sherriff, Sarah Smith Heckman, Mike Lake, Laurie A. Williams

Proceedings of the 2007 conference of the Centre for Advanced Studies on Collaborative Research, 2007