Abstract
In large introductory programming classes, there typically are no resources for adequate individual guidance. Automatic feedback for programming tasks can facilitate students' learning by allowing them to get immediate individual feedback regardless of time and place. This paper presents a study on how the type of automatic feedback in Parsons problems affects how students solve them. Students on their first programming class were divided into two groups and, in two assignments, each group in turn received different type of feedback. The type of feedback had an effect on how students constructed their programs and how quickly they were able to complete them. With feedback based on execution as opposed to the visible arrangement of code, the programs were more frequently executable when feedback was requested and, overall, feedback was requested less frequently. Based on the analysis, we discuss possible future improvements to automatic feedback in this type of an assignment.
Original language | English |
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Title of host publication | Proceedings - 2013 Learning and Teaching in Computing and Engineering, LaTiCE 2013 |
Pages | 55-61 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 2013 |
Publication type | A4 Article in conference proceedings |
Event | 1st International Conference on Learning and Teaching in Computing and Engineering, LaTiCE 2013 - Macau, Macao Duration: 21 Mar 2013 → 24 Mar 2013 |
Conference
Conference | 1st International Conference on Learning and Teaching in Computing and Engineering, LaTiCE 2013 |
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Country/Territory | Macao |
City | Macau |
Period | 21/03/13 → 24/03/13 |
Keywords
- Automatic Feedback
- Parsons Puzzles
- Python
ASJC Scopus subject areas
- Computer Science Applications
- Education