Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects

被引：2

作者：

Yett, Bernard ^{[1
]}

Hutchins, Nicole ^{[1
]}

Snyder, Caitlin ^{[1
]}

Zhang, Ningyu ^{[1
]}

Mishra, Shitanshu ^{[1
]}

Biswas, Gautam ^{[1
]}

机构：

[1] Vanderbilt Univ, Inst Software Integrated Syst, Dept EECS, 1025 16th Ave South, Nashville, TN 37212 USA

来源：

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2020), PT II | 2020年 / 12164卷

基金：

美国国家科学基金会;

关键词：

Collaborative learning; Robotics; Programming action logs; K-12; education; Computational thinking; Cybersecurity;

D O I：

10.1007/978-3-030-52240-7_64

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present an initial analysis of synchronous, collaborative programming in a robotics platform. Students worked in dyads and triads to complete a week-long curriculum targeting the learning of cybersecurity and computational thinking concepts, and their application using realistic robotics scenarios. We demonstrate how an analysis of individual student activity data within a group can be extrapolated to understand the group's collaborative problem-solving. We compare our findings to past literature and discuss future implications of collaborative programming research.

引用

页码：352 / 357

页数：6