Understanding and Enhancing CS Students’ Interaction Experience with AI Coding Assistant Tools

Data related to the paper "<b><i>Understanding and Enhancing CS Students’ Interaction Experience with AI</i></b><b><i>Coding Assistant Tools</i></b><i>"</i>Directory Structure<b>ac_and_unac_code_by_participants</b>: Type and length of code (LOC) accepted or rejected by each participant in the process of completing the task A.<b>process_data</b>: Process data for RQ1 and RQ2, including nine selected participants' interaction behavior data. (data for RQ3 and RQ4 all come from interviews, not included here due to participant privacy concerns)<b>solutions_submitted_by_participants</b>: Solutions code submitted by each participant for each task.<b>survey_and_interview_template:</b><b> </b>Content of pre-test surveys, templates used to generate after-test surveys and interviews<b>.</b><b>survey_response:</b><b> </b>Survey responses collected from participants (desensitised).<b>task_description</b>: Detailed descriptions of the six tasks in three categories.<b>experimental_process_and_experimental_platform _display.mp4</b>: Video displaying the experimental process and experimental platform developed by us.<b>Experimental process and experimental platform display:</b>https://drive.google.com/file/d/1Dxzer4GFX2xnNAWqrOJRR8h_p1fCgGpL/view?usp=sharing<br>

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28646783
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding and Enhancing CS Students’ Interaction Experience with AI Coding Assistant Tools

Figshare
Teaching and Learning Programming
article

Understanding and Enhancing CS Students’ Interaction Experience with AI Coding Assistant Tools

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Abstract

Data related to the paper "<b><i>Understanding and Enhancing CS Students’ Interaction Experience with AI</i></b><b><i>Coding Assistant Tools</i></b><i>"</i>Directory Structure<b>ac_and_unac_code_by_participants</b>: Type and length of code (LOC) accepted or rejected by each participant in the process of completing the task A.<b>process_data</b>: Process data for RQ1 and RQ2, including nine selected participants' interaction behavior data. (data for RQ3 and RQ4 all come from interviews, not included here due to participant privacy concerns)<b>solutions_submitted_by_participants</b>: Solutions code submitted by each participant for each task.<b>survey_and_interview_template:</b><b> </b>Content of pre-test surveys, templates used to generate after-test surveys and interviews<b>.</b><b>survey_response:</b><b> </b>Survey responses collected from participants (desensitised).<b>task_description</b>: Detailed descriptions of the six tasks in three categories.<b>experimental_process_and_experimental_platform _display.mp4</b>: Video displaying the experimental process and experimental platform developed by us.<b>Experimental process and experimental platform display:</b>https://drive.google.com/file/d/1Dxzer4GFX2xnNAWqrOJRR8h_p1fCgGpL/view?usp=sharing<br>

Figshare
Openalex Percentile: Top 47%
Teaching and Learning Programming
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Understanding and Enhancing CS Students’ Interaction Experience with AI Coding Assistant Tools · Figshare (2025) | TGRS Research Map | TGRS