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

Sunbok Lee, Youn Jeng Choi, Hyun Song Kim

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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)
Volume11
Issue number21
DOIs
StatePublished - 1 Nov 2021

Keywords

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

Fingerprint

Dive into the research topics of 'The accurate measurement of students’ learning in e-learning environments'. Together they form a unique fingerprint.

Cite this