E-assessment of online academic courses via students' activities and perceptions

Tal Soffer*, Tali Kahan, Eynat Livne

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The rapid growth of online courses in higher education has led to developments in the field of e-assessment. This paper presents a study, which examined the quality of online academic courses using a multidimensional assessment of students' activities and perceptions, using educational data mining and an online questionnaire. The assessment focused on four aspects: instructional, communication, course workload and overall learning experience. The course instructional model was found well-structured. The video lectures, assignments and materials designed for the online course were the most used and contributing learning resources. However, the number of students who entered the video lectures decreased as the course progressed. Low activity was found in the discussion forums. Students perceived the course workload as low. Overall, the learning experience was high and the students were highly satisfied. These findings provide insights that may assist in improving the quality of future online courses.

Original languageEnglish
Pages (from-to)83-93
Number of pages11
JournalStudies in Educational Evaluation
StatePublished - Sep 2017


  • E-assessment
  • Educational data mining
  • Evaluation methods
  • Evaluation utilization
  • Online learning
  • Student evaluation


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