Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Mani, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338197/
http://dx.doi.org/10.1007/978-3-030-52705-1_19
_version_ 1783554633567830016
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