A Preliminary Learner Assessment Framework on E-Learning

Online learning can guide learners to achieve their abilities if done well based on some principles. One of them is applying an assessment that motivates learning and informs the level of achievement of learning outcomes. Therefore, assessment is an essential element in online learning scenarios. I...

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Main Authors: Yuniarti, Wenty Dwi, Hartati, Sri, Priyanta, Sigit
Format: Article
Language:English
Published: ICIC International 2022
Subjects:
Online Access:https://repository.ugm.ac.id/278603/1/Hartati_MA.pdf
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author Yuniarti, Wenty Dwi
Hartati, Sri
Priyanta, Sigit
author_facet Yuniarti, Wenty Dwi
Hartati, Sri
Priyanta, Sigit
author_sort Yuniarti, Wenty Dwi
collection UGM
description Online learning can guide learners to achieve their abilities if done well based on some principles. One of them is applying an assessment that motivates learning and informs the level of achievement of learning outcomes. Therefore, assessment is an essential element in online learning scenarios. It is undeniable that assessment problems in face-to-face learning have the potential to occur in online learning, such as product oriented assessments only; haing not accommodated aspects of learning comprehensively; not yet accurate and objective, and lack of follow-up. This study proposes integrated performance analysis with decision support and recommendations in the assessment process to overcome these problems. The proposal is in the form of a model with four parts: learning outcome-based learning design; performance analysis with process mining; determining the level of ability using the Fuzzy Analytical Network Process (FANP) and 2-Tuple Fuzzy Linguistic, as well as knowledge-based recommendations. This model was introduced as an assessment model that can be applied to e-Learning in Indonesia.
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spelling oai:generic.eprints.org:2786032023-11-02T02:09:32Z https://repository.ugm.ac.id/278603/ A Preliminary Learner Assessment Framework on E-Learning Yuniarti, Wenty Dwi Hartati, Sri Priyanta, Sigit Information and Computing Sciences Online learning can guide learners to achieve their abilities if done well based on some principles. One of them is applying an assessment that motivates learning and informs the level of achievement of learning outcomes. Therefore, assessment is an essential element in online learning scenarios. It is undeniable that assessment problems in face-to-face learning have the potential to occur in online learning, such as product oriented assessments only; haing not accommodated aspects of learning comprehensively; not yet accurate and objective, and lack of follow-up. This study proposes integrated performance analysis with decision support and recommendations in the assessment process to overcome these problems. The proposal is in the form of a model with four parts: learning outcome-based learning design; performance analysis with process mining; determining the level of ability using the Fuzzy Analytical Network Process (FANP) and 2-Tuple Fuzzy Linguistic, as well as knowledge-based recommendations. This model was introduced as an assessment model that can be applied to e-Learning in Indonesia. ICIC International 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/278603/1/Hartati_MA.pdf Yuniarti, Wenty Dwi and Hartati, Sri and Priyanta, Sigit (2022) A Preliminary Learner Assessment Framework on E-Learning. ICIC Express Letters, 16 (7). pp. 705-712. ISSN 1881-803X http://www.icicel.org/ell/contents/2022/7/el-16-07-03.pdf 10.24507/icicel.16.07.705
spellingShingle Information and Computing Sciences
Yuniarti, Wenty Dwi
Hartati, Sri
Priyanta, Sigit
A Preliminary Learner Assessment Framework on E-Learning
title A Preliminary Learner Assessment Framework on E-Learning
title_full A Preliminary Learner Assessment Framework on E-Learning
title_fullStr A Preliminary Learner Assessment Framework on E-Learning
title_full_unstemmed A Preliminary Learner Assessment Framework on E-Learning
title_short A Preliminary Learner Assessment Framework on E-Learning
title_sort preliminary learner assessment framework on e learning
topic Information and Computing Sciences
url https://repository.ugm.ac.id/278603/1/Hartati_MA.pdf
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