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An Evaluation of Data-Driven Programming Hints in a Classroom Setting
Data-driven programming hints are a scalable way to support students when they are stuck by automatically offering suggestions and identifying errors. However, few classroom studies have investigated data-driven hints’ impact on students’ performance and learning. In this work, we ran a controlled e...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334677/ http://dx.doi.org/10.1007/978-3-030-52240-7_45 |
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author | Price, Thomas W. Marwan, Samiha Winters, Michael Williams, Joseph Jay |
author_facet | Price, Thomas W. Marwan, Samiha Winters, Michael Williams, Joseph Jay |
author_sort | Price, Thomas W. |
collection | PubMed |
description | Data-driven programming hints are a scalable way to support students when they are stuck by automatically offering suggestions and identifying errors. However, few classroom studies have investigated data-driven hints’ impact on students’ performance and learning. In this work, we ran a controlled experiment with 241 students in an authentic classroom setting, comparing students who learned with and without hints. We found no evidence that hints improved student performance or learning overall, and we discuss possible reasons why. |
format | Online Article Text |
id | pubmed-7334677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73346772020-07-06 An Evaluation of Data-Driven Programming Hints in a Classroom Setting Price, Thomas W. Marwan, Samiha Winters, Michael Williams, Joseph Jay Artificial Intelligence in Education Article Data-driven programming hints are a scalable way to support students when they are stuck by automatically offering suggestions and identifying errors. However, few classroom studies have investigated data-driven hints’ impact on students’ performance and learning. In this work, we ran a controlled experiment with 241 students in an authentic classroom setting, comparing students who learned with and without hints. We found no evidence that hints improved student performance or learning overall, and we discuss possible reasons why. 2020-06-10 /pmc/articles/PMC7334677/ http://dx.doi.org/10.1007/978-3-030-52240-7_45 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 Price, Thomas W. Marwan, Samiha Winters, Michael Williams, Joseph Jay An Evaluation of Data-Driven Programming Hints in a Classroom Setting |
title | An Evaluation of Data-Driven Programming Hints in a Classroom Setting |
title_full | An Evaluation of Data-Driven Programming Hints in a Classroom Setting |
title_fullStr | An Evaluation of Data-Driven Programming Hints in a Classroom Setting |
title_full_unstemmed | An Evaluation of Data-Driven Programming Hints in a Classroom Setting |
title_short | An Evaluation of Data-Driven Programming Hints in a Classroom Setting |
title_sort | evaluation of data-driven programming hints in a classroom setting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334677/ http://dx.doi.org/10.1007/978-3-030-52240-7_45 |
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