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

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 rob...

Descripción completa

Detalles Bibliográficos
Autores principales: Yett, Bernard, Hutchins, Nicole, Snyder, Caitlin, Zhang, Ningyu, Mishra, Shitanshu, Biswas, Gautam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334714/
http://dx.doi.org/10.1007/978-3-030-52240-7_64
_version_ 1783553987421667328
author Yett, Bernard
Hutchins, Nicole
Snyder, Caitlin
Zhang, Ningyu
Mishra, Shitanshu
Biswas, Gautam
author_facet Yett, Bernard
Hutchins, Nicole
Snyder, Caitlin
Zhang, Ningyu
Mishra, Shitanshu
Biswas, Gautam
author_sort Yett, Bernard
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7334714
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-73347142020-07-06 Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects Yett, Bernard Hutchins, Nicole Snyder, Caitlin Zhang, Ningyu Mishra, Shitanshu Biswas, Gautam Artificial Intelligence in Education Article 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. 2020-06-10 /pmc/articles/PMC7334714/ http://dx.doi.org/10.1007/978-3-030-52240-7_64 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Yett, Bernard
Hutchins, Nicole
Snyder, Caitlin
Zhang, Ningyu
Mishra, Shitanshu
Biswas, Gautam
Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
title Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
title_full Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
title_fullStr Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
title_full_unstemmed Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
title_short Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
title_sort evaluating student learning in a synchronous, collaborative programming environment through log-based analysis of projects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334714/
http://dx.doi.org/10.1007/978-3-030-52240-7_64
work_keys_str_mv AT yettbernard evaluatingstudentlearninginasynchronouscollaborativeprogrammingenvironmentthroughlogbasedanalysisofprojects
AT hutchinsnicole evaluatingstudentlearninginasynchronouscollaborativeprogrammingenvironmentthroughlogbasedanalysisofprojects
AT snydercaitlin evaluatingstudentlearninginasynchronouscollaborativeprogrammingenvironmentthroughlogbasedanalysisofprojects
AT zhangningyu evaluatingstudentlearninginasynchronouscollaborativeprogrammingenvironmentthroughlogbasedanalysisofprojects
AT mishrashitanshu evaluatingstudentlearninginasynchronouscollaborativeprogrammingenvironmentthroughlogbasedanalysisofprojects
AT biswasgautam evaluatingstudentlearninginasynchronouscollaborativeprogrammingenvironmentthroughlogbasedanalysisofprojects

Ejemplares similares