ERIC Number: EJ1379475
Record Type: Journal
Publication Date: 2023-Jun
Pages: 24
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0735-6331
EISSN: EISSN-1541-4140
Effectiveness of Feedback Based on Log File Analysis in Introductory Programming Courses
Meier, Heidi; Lepp, Marina
Journal of Educational Computing Research, v61 n3 p696-719 Jun 2023
Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this knowledge can be integrated into practical sessions in the classroom. This study aimed to analyse how feedback based on logs affects exam results, task completion time, the number of runs, error messages, and pastes (of the whole group and beginners and non-beginners separately). An experiment was conducted in 2020 and 2021 in the course "Introduction to Programming". Some groups received additional feedback on homework throughout the course based on log information; the remaining groups worked as usual. Based on the information received from the logs, general recommendations were also offered in the practical sessions. Our study showed that feedback based on logs improved mainly exam test results and programming task solving time among beginners. Therefore, it would be a good method to use, especially in beginner groups.
Descriptors: Programming, Introductory Courses, Computer Science Education, Teaching Methods, Feedback (Response), Test Results, Learning Analytics, Task Analysis, Homework, Comparative Analysis, Undergraduate Students, Foreign Countries
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Finland
Grant or Contract Numbers: N/A