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

Bernard Yett, Nicole Hutchins, Caitlin Snyder, Ningyu Zhang, Shitanshu Mishra, Gautam Biswas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 21st International Conference, AIED 2020, Proceedings
EditorsIg Ibert Bittencourt, Mutlu Cukurova, Rose Luckin, Kasia Muldner, Eva Millán
Pages352-357
Number of pages6
DOIs
StatePublished - 2020
Event21st International Conference on Artificial Intelligence in Education, AIED 2020 - Ifrane, Morocco
Duration: 6 Jul 202010 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12164 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Artificial Intelligence in Education, AIED 2020
Country/TerritoryMorocco
CityIfrane
Period6/07/2010/07/20

Keywords

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

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