The accurate measurement of students’ learning in e-learning environments
- 주제(키워드) Common metric , Equating , Fixed-parameter calibration , Item response theory , Massive open online courses
- 등재 SCIE, SCOPUS
- 발행기관 MDPI
- 발행년도 2021
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000183370
- 본문언어 영어
- Published As http://dx.doi.org/10.3390/app11219946
초록/요약
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 measure-ment, 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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