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E-assessment of online academic courses via students' activities and perceptions
Institution:1. Institute of Educational Technology, The Open University, UK;2. Bank Julius Baer & Co, Zurich, Switzerland
Abstract: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.
Keywords:Student evaluation  Evaluation utilization  Evaluation methods  Online learning  Educational data mining  E-assessment
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