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Towards Student Centric Rough Concept Inventories
In the context of education research, a concept inventory is an instrument (that consists of a number of multiple-choice questions) designed to test the understanding of concepts (and possibly the reasons for failure to understand) by learners. Subject to a few caveats they are known to be somewhat...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338197/ http://dx.doi.org/10.1007/978-3-030-52705-1_19 |
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author | Mani, A. |
author_facet | Mani, A. |
author_sort | Mani, A. |
collection | PubMed |
description | In the context of education research, a concept inventory is an instrument (that consists of a number of multiple-choice questions) designed to test the understanding of concepts (and possibly the reasons for failure to understand) by learners. Subject to a few caveats they are known to be somewhat effective in non student centric learning environments. In this research the issue of adapting the subject/concept-specific instruments to make room for diverse response patterns (including vague ones) is explored in some detail by the present author. It is shown that higher granular operator spaces (or partial algebras) with additional temporal and key operators are well suited for handling them. An improved version of concept inventory called rough concept inventory that can handle vague subjective responses is also proposed in this research. |
format | Online Article Text |
id | pubmed-7338197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73381972020-07-07 Towards Student Centric Rough Concept Inventories Mani, A. Rough Sets Article In the context of education research, a concept inventory is an instrument (that consists of a number of multiple-choice questions) designed to test the understanding of concepts (and possibly the reasons for failure to understand) by learners. Subject to a few caveats they are known to be somewhat effective in non student centric learning environments. In this research the issue of adapting the subject/concept-specific instruments to make room for diverse response patterns (including vague ones) is explored in some detail by the present author. It is shown that higher granular operator spaces (or partial algebras) with additional temporal and key operators are well suited for handling them. An improved version of concept inventory called rough concept inventory that can handle vague subjective responses is also proposed in this research. 2020-06-10 /pmc/articles/PMC7338197/ http://dx.doi.org/10.1007/978-3-030-52705-1_19 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 Mani, A. Towards Student Centric Rough Concept Inventories |
title | Towards Student Centric Rough Concept Inventories |
title_full | Towards Student Centric Rough Concept Inventories |
title_fullStr | Towards Student Centric Rough Concept Inventories |
title_full_unstemmed | Towards Student Centric Rough Concept Inventories |
title_short | Towards Student Centric Rough Concept Inventories |
title_sort | towards student centric rough concept inventories |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338197/ http://dx.doi.org/10.1007/978-3-030-52705-1_19 |
work_keys_str_mv | AT mania towardsstudentcentricroughconceptinventories |