An Ontology Model for Formative Assessments
The ontology model can help students "own" their learning process by giving them personalized feedback from formative assessments. However, there is no comprehensive ontology model of the necessary data. Therefore, this study aims to construct an ontology model of formative assessment usin...
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id-ugm-repo.2791902023-11-06T04:03:15Z https://repository.ugm.ac.id/279190/ An Ontology Model for Formative Assessments Rahayu, Nur W. Arifin, Aridhanyati Ferdiana, Ridi Kusumawardani, Sri Suning Electrical and Electronic Engineering The ontology model can help students "own" their learning process by giving them personalized feedback from formative assessments. However, there is no comprehensive ontology model of the necessary data. Therefore, this study aims to construct an ontology model of formative assessment using heutagogy approach. The first part of the research is a review of nine review articles, which is followed by design research. Formative assessments of the heutagogy approach are traditional (objective and essay tests) and outcome-based (such as developmental portfolios, the analytic rubric, and the perception rubric). Both assessments could provide personalized feedback, but they differ in response start, learning domain, speed of assessment results, focus, and execution time. Using a heutagogy approach, the design research results in an ontology schema, which is made up of learning resources and formative assessments. Our ontology model is the basis for the personalized feedback of an ontology-based recommender system. Moreover, this model can be used with other recommendation techniques. 2022 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/279190/1/Rahayu_TK.pdf Rahayu, Nur W. and Arifin, Aridhanyati and Ferdiana, Ridi and Kusumawardani, Sri Suning (2022) An Ontology Model for Formative Assessments. In: 2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE), 18-19 October 2022, Yogyakarta, Indonesia. https://ieeexplore.ieee.org/document/9954082 |
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Electrical and Electronic Engineering Rahayu, Nur W. Arifin, Aridhanyati Ferdiana, Ridi Kusumawardani, Sri Suning An Ontology Model for Formative Assessments |
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The ontology model can help students "own" their learning process by giving them personalized feedback from formative assessments. However, there is no comprehensive ontology model of the necessary data. Therefore, this study aims to construct an ontology model of formative assessment using heutagogy approach. The first part of the research is a review of nine review articles, which is followed by design research. Formative assessments of the heutagogy approach are traditional (objective and essay tests) and outcome-based (such as developmental portfolios, the analytic rubric, and the perception rubric). Both assessments could provide personalized feedback, but they differ in response start, learning domain, speed of assessment results, focus, and execution time. Using a heutagogy approach, the design
research results in an ontology schema, which is made up
of learning resources and formative assessments. Our
ontology model is the basis for the personalized feedback
of an ontology-based recommender system. Moreover, this
model can be used with other recommendation techniques. |
format |
Conference or Workshop Item PeerReviewed |
author |
Rahayu, Nur W. Arifin, Aridhanyati Ferdiana, Ridi Kusumawardani, Sri Suning |
author_facet |
Rahayu, Nur W. Arifin, Aridhanyati Ferdiana, Ridi Kusumawardani, Sri Suning |
author_sort |
Rahayu, Nur W. |
title |
An Ontology Model for Formative Assessments |
title_short |
An Ontology Model for Formative Assessments |
title_full |
An Ontology Model for Formative Assessments |
title_fullStr |
An Ontology Model for Formative Assessments |
title_full_unstemmed |
An Ontology Model for Formative Assessments |
title_sort |
ontology model for formative assessments |
publishDate |
2022 |
url |
https://repository.ugm.ac.id/279190/1/Rahayu_TK.pdf https://repository.ugm.ac.id/279190/ https://ieeexplore.ieee.org/document/9954082 |
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1781794711619502080 |