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This content will become publicly available on March 14, 2025

Title: Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing
Novice programmers need to write basic code as part of the learning process, but they often face difficulties. To assist struggling students, we recently implemented personalized Parsons problems, which are code puzzles where students arrange blocks of code to solve them, as pop-up scaffolding. Students found them to be more engaging and preferred them for learning, instead of simply receiving the correct answer, such as the response they might get from generative AI tools like ChatGPT. However, a drawback of using Parsons problems as scaffolding is that students may be able to put the code blocks in the correct order without fully understanding the rationale of the correct solution. As a result, the learning benefits of scaffolding are compromised. Can we improve the understanding of personalized Parsons scaffolding by providing textual code explanations? In this poster, we propose a design that incorporates multiple levels of textual explanations for the Parsons problems. This design will be used for future technical evaluations and classroom experiments. These experiments will explore the effectiveness of adding textual explanations to Parsons problems to improve instructional benefits.  more » « less
Award ID(s):
2143028
NSF-PAR ID:
10510499
Author(s) / Creator(s):
; ;
Publisher / Repository:
ACM
Date Published:
Journal Name:
Proceedings of the 55th ACM Technical Symposium on Computer Science Education (SIGCSE)
ISBN:
9798400704246
Page Range / eLocation ID:
1686 to 1687
Format(s):
Medium: X
Location:
Portland OR USA
Sponsoring Org:
National Science Foundation
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