TY - JOUR
T1 - E-assessment of online academic courses via students' activities and perceptions
AU - Soffer, Tal
AU - Kahan, Tali
AU - Livne, Eynat
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
KW - E-assessment
KW - Educational data mining
KW - Evaluation methods
KW - Evaluation utilization
KW - Online learning
KW - Student evaluation
UR - http://www.scopus.com/inward/record.url?scp=84992179530&partnerID=8YFLogxK
U2 - 10.1016/j.stueduc.2016.10.001
DO - 10.1016/j.stueduc.2016.10.001
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AN - SCOPUS:84992179530
SN - 0191-491X
VL - 54
SP - 83
EP - 93
JO - Studies in Educational Evaluation
JF - Studies in Educational Evaluation
ER -