Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
Autor: | Bernard Yett, Nicole Hutchins, Caitlin Snyder, Shitanshu Mishra, Ningyu Zhang, Gautam Biswas |
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Rok vydání: | 2020 |
Předmět: |
Collaborative programming
Computer science business.industry Computational thinking 05 social sciences 050301 education Collaborative learning Robotics 02 engineering and technology 020204 information systems 0202 electrical engineering electronic engineering information engineering Mathematics education Artificial intelligence Student learning business 0503 education Curriculum |
Zdroj: | Lecture Notes in Computer Science ISBN: 9783030522391 AIED (2) |
Popis: | 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. |
Databáze: | OpenAIRE |
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