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Modelling Learners in Crowdsourcing Educational Systems
Traditionally, learner models estimate a student’s knowledge state solely based on their performance on attempting assessment items. This can be attributed to the fact that in many traditional educational systems, students are primarily involved in just answering assessment items. In recent years, t...
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/PMC7334676/ http://dx.doi.org/10.1007/978-3-030-52240-7_1 |
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author | Abdi, Solmaz Khosravi, Hassan Sadiq, Shazia |
author_facet | Abdi, Solmaz Khosravi, Hassan Sadiq, Shazia |
author_sort | Abdi, Solmaz |
collection | PubMed |
description | Traditionally, learner models estimate a student’s knowledge state solely based on their performance on attempting assessment items. This can be attributed to the fact that in many traditional educational systems, students are primarily involved in just answering assessment items. In recent years, the use of crowdsourcing to support learning at scale has received significant attention. In crowdsourcing educational systems, in addition to attempting assessment items, students are engaged with other various tasks such as creating resources, creating solutions, rating the quality of resources, and giving feedback. Past studies have demonstrated that engaging students in meaningful crowdsourcing tasks, also referred to as learningsourcing, has pedagogical benefits that can enhance student learning. In this paper, we present a learner model that leverages data from students’ learnersourcing contributions alongside attempting assessment items towards modelling of students’ knowledge state. Results from an empirical study suggest that indeed crowdsourced contributions from students can effectively be used in modelling learners. |
format | Online Article Text |
id | pubmed-7334676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73346762020-07-06 Modelling Learners in Crowdsourcing Educational Systems Abdi, Solmaz Khosravi, Hassan Sadiq, Shazia Artificial Intelligence in Education Article Traditionally, learner models estimate a student’s knowledge state solely based on their performance on attempting assessment items. This can be attributed to the fact that in many traditional educational systems, students are primarily involved in just answering assessment items. In recent years, the use of crowdsourcing to support learning at scale has received significant attention. In crowdsourcing educational systems, in addition to attempting assessment items, students are engaged with other various tasks such as creating resources, creating solutions, rating the quality of resources, and giving feedback. Past studies have demonstrated that engaging students in meaningful crowdsourcing tasks, also referred to as learningsourcing, has pedagogical benefits that can enhance student learning. In this paper, we present a learner model that leverages data from students’ learnersourcing contributions alongside attempting assessment items towards modelling of students’ knowledge state. Results from an empirical study suggest that indeed crowdsourced contributions from students can effectively be used in modelling learners. 2020-06-10 /pmc/articles/PMC7334676/ http://dx.doi.org/10.1007/978-3-030-52240-7_1 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 Abdi, Solmaz Khosravi, Hassan Sadiq, Shazia Modelling Learners in Crowdsourcing Educational Systems |
title | Modelling Learners in Crowdsourcing Educational Systems |
title_full | Modelling Learners in Crowdsourcing Educational Systems |
title_fullStr | Modelling Learners in Crowdsourcing Educational Systems |
title_full_unstemmed | Modelling Learners in Crowdsourcing Educational Systems |
title_short | Modelling Learners in Crowdsourcing Educational Systems |
title_sort | modelling learners in crowdsourcing educational systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334676/ http://dx.doi.org/10.1007/978-3-030-52240-7_1 |
work_keys_str_mv | AT abdisolmaz modellinglearnersincrowdsourcingeducationalsystems AT khosravihassan modellinglearnersincrowdsourcingeducationalsystems AT sadiqshazia modellinglearnersincrowdsourcingeducationalsystems |