The accurate measurement of students’ learning in e-learning environments

Sunbok Lee, Youn Jeng Choi, Hyun Song Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish
Article number9946
JournalApplied Sciences (Switzerland)
Issue number21
StatePublished - 1 Nov 2021

Bibliographical note

Funding Information:
Funding: This work was supported by the Ewha Womans University Research Grant of 2020. This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2020S1A5C2A03093092).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.


  • Common metric
  • Equating
  • Fixed-parameter calibration
  • Item response theory
  • Massive open online courses


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