Measurement of quality of a course: Analysis to analytics

Jérémie Seanosky, David Boulanger, Colin Pinnell, Jason Bell, Lino Forner, Michael Baddeley, Kinshuk, Vivekanandan Suresh Kumar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)


Traditionally, the quality of a course offering is measured based on learner feedback at the end of the offering. This chapter offers a method to measure the quality of a course offering—continually, formatively, and summatively—using factors such as the quality of resources used, learner motivation, learner capacity, learner competency growth, and instructor competence. These factors are represented in a Bayesian belief network (BBN) in a system called MI-IDEM. MI-IDEM receives streams of data corresponding to these factors as and when they become available, which leads to estimates of quality of the course offering based on individual factors as well as an overall quality of the offering. Continuous, formative, and summative course quality measurements are imperative to identify weaknesses in the learning process of students and to assist them when they need help. This chapter professes the need for a comprehensive measurement of course quality and ensuing initiatives to personalize and adapt course offerings. It presents two case studies of this novel approach: first, measurement of the quality of a course offering in a blended online learning environment and second, measurement of the quality of training course offering in an industry environment.

Original languageEnglish
Title of host publicationLecture Notes in Educational Technology
Number of pages18
Publication statusPublished - 2016

Publication series

NameLecture Notes in Educational Technology
ISSN (Print)2196-4963
ISSN (Electronic)2196-4971


  • Analysis versus analytics
  • Blended online instruction
  • Continuous assessment
  • Course quality assessment
  • Learning analytics
  • Mixed-initiative instructional design evaluation model


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