The Accurate Measurement of Students’ Learning in E-Learning Environments

The ultimate goal of E-learning environments is to improve students’ learning. To achieve that goal, it is crucial to accurately measure students’ learning. In the field of educational measurement, it is well known that the key issue in the measurement of learning is to place test scores on a common...

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Autores principales:	Sunbok Lee, Youn-Jeng Choi, Hyun-Song Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	massive open online courses equating common metric fixed-parameter calibration item response theory Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/ea662e9a487f47608abc6a43d3d9324b
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spelling	oai:doaj.org-article:ea662e9a487f47608abc6a43d3d9324b2021-11-11T15:02:20ZThe Accurate Measurement of Students’ Learning in E-Learning Environments10.3390/app112199462076-3417https://doaj.org/article/ea662e9a487f47608abc6a43d3d9324b2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9946https://doaj.org/toc/2076-3417The ultimate goal of E-learning environments is to improve students’ learning. To achieve that goal, it is crucial to accurately measure students’ learning. In the field of educational measurement, it is well known that the key issue in the measurement of learning is to place test scores on a common metric. Despite the crucial role of a common metric in the measurement of learning, however, less attention has been paid to this important issue in E-learning studies. In this study, we propose to use fixed-parameter calibration (FPC) in an item response theory (IRT) framework to set up a common metric in E-learning environments. To demonstrate FPC, we used the data from the MOOC “Introduction to Psychology as a Science” offered through Coursera collaboratively by Georgia Institute of Technology (GIT) and Carnegie Mellon University (CMU) in 2013. Our analysis showed that the students’ learning gains were substantially different with and without FPC.Sunbok LeeYoun-Jeng ChoiHyun-Song KimMDPI AGarticlemassive open online coursesequatingcommon metricfixed-parameter calibrationitem response theoryTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9946, p 9946 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	massive open online courses equating common metric fixed-parameter calibration item response theory Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	massive open online courses equating common metric fixed-parameter calibration item response theory Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Sunbok Lee Youn-Jeng Choi Hyun-Song Kim The Accurate Measurement of Students’ Learning in E-Learning Environments
description	The ultimate goal of E-learning environments is to improve students’ learning. To achieve that goal, it is crucial to accurately measure students’ learning. In the field of educational measurement, it is well known that the key issue in the measurement of learning is to place test scores on a common metric. Despite the crucial role of a common metric in the measurement of learning, however, less attention has been paid to this important issue in E-learning studies. In this study, we propose to use fixed-parameter calibration (FPC) in an item response theory (IRT) framework to set up a common metric in E-learning environments. To demonstrate FPC, we used the data from the MOOC “Introduction to Psychology as a Science” offered through Coursera collaboratively by Georgia Institute of Technology (GIT) and Carnegie Mellon University (CMU) in 2013. Our analysis showed that the students’ learning gains were substantially different with and without FPC.
format	article
author	Sunbok Lee Youn-Jeng Choi Hyun-Song Kim
author_facet	Sunbok Lee Youn-Jeng Choi Hyun-Song Kim
author_sort	Sunbok Lee
title	The Accurate Measurement of Students’ Learning in E-Learning Environments
title_short	The Accurate Measurement of Students’ Learning in E-Learning Environments
title_full	The Accurate Measurement of Students’ Learning in E-Learning Environments
title_fullStr	The Accurate Measurement of Students’ Learning in E-Learning Environments
title_full_unstemmed	The Accurate Measurement of Students’ Learning in E-Learning Environments
title_sort	accurate measurement of students’ learning in e-learning environments
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ea662e9a487f47608abc6a43d3d9324b
work_keys_str_mv	AT sunboklee theaccuratemeasurementofstudentslearninginelearningenvironments AT younjengchoi theaccuratemeasurementofstudentslearninginelearningenvironments AT hyunsongkim theaccuratemeasurementofstudentslearninginelearningenvironments AT sunboklee accuratemeasurementofstudentslearninginelearningenvironments AT younjengchoi accuratemeasurementofstudentslearninginelearningenvironments AT hyunsongkim accuratemeasurementofstudentslearninginelearningenvironments
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The Accurate Measurement of Students’ Learning in E-Learning Environments

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