Student Online Assessment Behaviors

Cleaver, Thomas G.; Elbasyouni, L.M.

doi:10.1109/te.2004.842886

Cited by 8 publications

(1 citation statement)

References 6 publications

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“…The "Learning Anywhere, Anytime" vision of education has been widely supported and adopted [1]. This vision is supported by the federal government such as the National Science Foundation (NSF) and the U.S. Education Department (ED) through Fund for the Improvement of Post Secondary Education (FIPSE), private foundations such as the Alfred P. Sloan Foundation, and industry such as Microsoft Corp [2][3][4]. It is also gaining wide acceptance as the U.S. Department of Education states that online learning is one of the fastest growing trends in educational uses of technology.…”

Section: Introductionmentioning

confidence: 99%

Online-BSEE (Online Bachelor of Science in Electrical Engineering): An Asynchronous Online Electrical Engineering Degree Program with Laboratory

Tang

Westgate

Liu

et al. 2014

Journal of Educational Technology Systems

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The Online Bachelor of Science in Electrical Engineering is a collaborative effort among three University Centers at SUNY (State University of New York), namely Stony Brook, Binghamton, and Buffalo. The program delivers the complete electrical engineering curriculum at the bachelor level to students online and asynchronously. Students, however, take the basic mathematics and science courses and general education courses elsewhere (online or at local institutions). It is one of the first such programs nationwide. More specifically, online electronic laboratory courses are delivered online with students performing the same experiments as those in traditional offerings. This is made possible via innovative use of technology. Further, through insights developed in the initial offering, a new laboratory kit is being designed. Finally, some of our online lectures developed in the program are also being used to supplement and enrich on-campus offerings, hence creating a win-win approach.

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Section: Introductionmentioning

confidence: 99%

Online-BSEE (Online Bachelor of Science in Electrical Engineering): An Asynchronous Online Electrical Engineering Degree Program with Laboratory

Tang

Westgate

Liu

et al. 2014

Journal of Educational Technology Systems

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Clustering student behavior based on quiz activities on moodle LMS to discover the relation with a final exam score

Waspada

Bahtiar

Wibowo

2019

J. Phys.: Conf. Ser.

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One strategy in using the Learning Management System (LMS) is to provide activities that can be accessed by students as learning material. The problem is that the teacher cannot see the students’ online activity directly. In this study, the students’ behavior was discovered from the e-learning log file on the quiz activity. Quis activities are performed six times and end with a final exam. Four attributes were proposed as the student behavior model, they are the frequency of repeating quiz work (freq), the duration on each quiz work (our), increased score when repeating the quiz (perf), and the best score of all attempts (best). The preferable clustering result using K-means algorithm was obtained with 2 (two) clusters. Each cluster was paired with the final exam score which shows that the percentage of failures in cluster_0 is 85%. This result corresponds to the centroid value in cluster_0 that is lower in all attributes compare to the cluster_1. It concludes to evidence that the activity of working on online quizzes has a relation with the final exam score. This information can be used for early intervention by the teacher to prevent the student from failing.

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