CPVis: Evidence-based Multimodal Learning Analytics for Evaluation in Collaborative Programming

要旨

As programming education becomes more widespread, many college students from non-computer science backgrounds begin learning programming. Collaborative programming emerges as an effective method for instructors to support novice students in developing coding and teamwork abilities. However, due to limited class time and attention, instructors face challenges in monitoring and evaluating the progress and performance of groups or individuals. To address this issue, we collect multimodal data from real-world settings and develop CPVis, an interactive visual analytics system designed to assess student collaboration dynamically. Specifically, CPVis enables instructors to evaluate both group and individual performance efficiently. CPVis employs a novel flower-based visual encoding to represent performance and provides time-based views to capture the evolution of collaborative behaviors. A within-subject experiment (N=22), comparing CPVis with two baseline systems, reveals that users gain more insights, find the visualization more intuitive, and report increased confidence in their assessments of collaboration.

著者
Gefei Zhang
Zhejiang University of Technology, Hangzhou, China
Shenming Ji
Xi'an Jiaotong-Liverpool University, Suzhou, China
Yicao Li
Zhejiang University of Technology, Hangzhou, China
Jingwei Tang
Zhejiang University of Technology, Hangzhou, China
Jihong Ding
Hainan University, Haikou, Hainan, China
Meng Xia
Texas A&M University, College Station, Texas, United States
Guodao Sun
Zhejiang University of Technology, Hangzhou, China
Ronghua Liang
Zhejiang University of Technology, Hangzhou, Zhejiang, China
DOI

10.1145/3706598.3713353

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713353

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Advances in Programming and Software Development

G316+G317
7 件の発表
2025-04-29 18:00:00
2025-04-29 19:30:00
日本語まとめ
読み込み中…