An official website of the United States government
One of the goals of computing education research is to document the potential strengths and weaknesses of contemporary teaching methods in computing. Live coding has recently gained attention as one of the best practices for teaching programming. To offer a more comprehensive understanding of the existing body of research about live coding, we reviewed papers in computing education research that investigated the value of live coding in an educational setting. We categorized each paper based on (1) how it defines live coding, (2) whether its version of live coding could be considered active learning, (3) the type of study conducted, (4) types of data collected and the data analysis methods used, (5) evidence provided for the effectiveness of live coding, (6) reported benefits and drawbacks of live coding, and (7) reported theoretical frameworks used to explain the basis, effects or goals of live coding. We found that although live coding has been recommended as one of the best practices for teaching programming, there is a lack of empirical evidence to support claims about the effectiveness of live coding on student learning. Finally, we discuss the implications of our findings and suggest future research directions that could develop a more holistic understanding of this pedagogical technique.
more »
« less
A Comparison of Student Behavioral Engagement in Traditional Live Coding and Active Live Coding Lectures
- Award ID(s):
- 2044473
- PAR ID:
- 10599710
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9798400706004
- Page Range / eLocation ID:
- 513 to 519
- Format(s):
- Medium: X
- Location:
- Milan Italy
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Objectives The traditional, instructor-led form of live coding has been extensively studied, with findings showing that this form of live coding imparts similar learning to static-code examples. However, a concern with Traditional Live Coding is that it can turn into a passive learning activity for students as they simply observe the instructor program. Therefore, this study compares Active Live Coding—a form of live coding that leverages in-class coding activities and peer discussion—to Traditional Live Coding on three outcomes: 1) students’ adherence to effective programming processes, 2) students’ performance on exams and in-lecture questions, and 3) students’ lecture experience. Participants Roughly 530 students were enrolled in an advanced, CS1 course taught in Java at a large, public university in North America. The students were primarily first- and second-year undergraduate students with some prior programming experience. The student population was spread across two lecture sections—348 students in the Active Live Coding (ALC) lecture and 185 students in the Traditional Live Coding (TLC) lecture. Study Methods We used a mixed-methods approach to answer our‘ research questions. To compare students’ programming processes, we applied process-oriented metrics related to incremental development and error frequencies. To measure students’ learning outcomes, we compared students’ performance on major course components and used pre- and post-lecture questionnaires to compare students’ learning gain during lectures. Finally, to understand students’ lecture experience, we used a classroom observation protocol to measure and compare students’ behavioral engagement during the two lectures. We also inductively coded open-ended survey questions to understand students’ perceptions of live coding. Findings We did not find a statistically significant effect of ALC on students’ programming processes or learning outcomes. It seems that both ALC and TLC impart similar programming processes and result in similar student learning. However, our findings related to students’ lecture experience shows a persistent engagement effect of ALC, where students’ behavioral engagement peaks andremains elevatedafter the in-class coding activity and peer discussion. Finally, we discuss the unique affordances and drawbacks of the lecture technique as well as students’ perceptions of ALC. Conclusions Despite being motivated by well-established learning theories, Active Live Coding did not result in improved student learning or programming processes. This study is preceded by several prior works that showed that Traditional Live Coding imparts similar student learning and programming skills as static-code examples. Though potential reasons for the lack of observed learning benefits are discussed in this work, multiple future analyses to further investigate Active Live Coding may help the community understand the impacts (or lack thereof) of the instructional technique.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3649217.3653537
