Factors Affecting Compilable State at Each Keystroke in CS1
In this paper, we analyze keystroke log data from two introductory programming courses from two distinct contexts to investigate the proportion of events that compile, how this relates to contextual factors, the progression of programs, and academic outcomes. We find that, as students write their programs, frequency of compile and run events increases as does the proportion of events that compile. We also find a spike in the number of compile and run events as a program nears completion, that the proportion of events that compile varies by assignment, length of program, and programming context, that real-time IDE error diagnostics lead to higher proportion of events that are in compilable state, and that a student’s awareness of their compilable state is correlated with exam score while the amount of time they spend in an uncompilable state is not. Among the practical implications of our work are the fact that researchers cannot rely on frequency of compilation remaining constant through an assignment and a call to researchers and practitioners to design pedagogies that enhance student awareness of their compilable state.
Fri 19 MayDisplayed time zone: Hobart change
15:45 - 17:15 | SE education methods and toolsTechnical Track / SEET - Software Engineering Education and Training at Meeting Room 101 Chair(s): Andrew Begel Carnegie Mellon University | ||
15:45 15mTalk | On the Applicability of Language Models to Block-Based Programs Technical Track Elisabeth Griebl University of Passau, Benedikt Fein University of Passau, Florian Obermueller University of Passau, Gordon Fraser University of Passau, René Just University of Washington | ||
16:00 15mTalk | Improving Grading Outcomes in Software Engineering Projects Through Automated Contributions Summaries SEET - Software Engineering Education and Training Kai Presler-Marshall Bowdoin College, Sarah Heckman North Carolina State University, Kathryn Stolee North Carolina State University | ||
16:15 15mTalk | Analyzing the Quality of Submissions in Online Programming Courses SEET - Software Engineering Education and Training Maria Tigina JetBrains Research, Anastasiia Birillo JetBrains Research, Yaroslav Golubev JetBrains Research, Hieke Keuning Utrecht University, Nikolay Vyahhi Stepik, Timofey Bryksin JetBrains Research Pre-print | ||
16:30 15mTalk | A Metric for Measuring Software Engineering Post-Graduate Outcomes SEET - Software Engineering Education and Training | ||
16:45 7mTalk | Using Focus to Personalise Learning and Feedback in Software Engineering Education SEET - Software Engineering Education and Training Bansri Amish Modi School of Information Technology, Deakin University, Andrew Cain School of Information Technology, Deakin University, Guy Wood-Bradley Deakin University, Jake Renzella University of New South Wales, Sydney | ||
16:52 7mTalk | Shaping a Tool for Developing Computing Students’ Professional Identity - Industry Perspectives SEET - Software Engineering Education and Training Laura Tubino Deakin University, Kerri Morgan Deakin University, Guy Wood-Bradley Deakin University, Andrew Cain School of Information Technology, Deakin University | ||
17:00 7mTalk | REFERENT: Transformer based Feedback Generation using Assignment Information for Programming Course SEET - Software Engineering Education and Training Jinseok Heo Sungkyunkwan University, Hohyeon Jeong Sungkyunkwan University, Dongwook Choi SungKyunKwan University, Eunseok Lee Sungkyunkwan University | ||
17:07 7mTalk | Factors Affecting Compilable State at Each Keystroke in CS1 SEET - Software Engineering Education and Training Steven Scott Utah State University, Arto Hellas Aalto University, Juho Leinonen The University of Auckland, John Edwards Utah State University |