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Cechinel, Cristian; Sanchez-Alonso, Salvador; Garcia-Barriocanal, Elena – Computers & Education, 2011
The continuously growth of learning resources available in on-line repositories has raised the concern for the development of automated methods for quality assessment. The current existence of on-line evaluations in such repositories has opened the possibility of searching for statistical profiles of highly-rated resources that can be used as…
Descriptors: Discriminant Analysis, Educational Resources, Classification, Automation
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Lykourentzou, Ioanna; Giannoukos, Ioannis; Nikolopoulos, Vassilis; Mpardis, George; Loumos, Vassili – Computers & Education, 2009
In this paper, a dropout prediction method for e-learning courses, based on three popular machine learning techniques and detailed student data, is proposed. The machine learning techniques used are feed-forward neural networks, support vector machines and probabilistic ensemble simplified fuzzy ARTMAP. Since a single technique may fail to…
Descriptors: Dropouts, Prediction, Teaching Methods, Distance Education
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Papastergiou, Marina – Computers & Education, 2009
This study aims at critically reviewing recently published scientific literature on the use of computer and video games in Health Education (HE) and Physical Education (PE) with a view: (a) to identifying the potential contribution of the incorporation of electronic games as educational tools into HE and PE programs, (b) to present a synthesis of…
Descriptors: Meta Analysis, Literature Reviews, Computer Uses in Education, Video Games
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Beauchamp, Gary; Kennewell, Steve – Computers & Education, 2010
The term "interactive" appears in two distinct strands of educational research discourse: one concerning pedagogy and the other concerning new technologies in education. As new technology increasingly pervades most classrooms in the UK, it seems likely that it would be fruitful to explore, both theoretically and empirically, links…
Descriptors: Educational Research, Teacher Role, Classroom Environment, Teaching Methods
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Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
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Tao, Yu-Hui – Computers & Education, 2008
Recently, e-learning in Taiwan's higher education faces new challenges as the Ministry of Education begins to loosen its control over degree-awarding programs. Studies on stakeholder perceptions toward important e-learning issues become critical at this juncture for policy makers to make viable investment decisions toward e-learning programs.…
Descriptors: Distance Education, Factor Analysis, Classification, Foreign Countries
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Roth, Vicki; Ivanchenko, Volodymyr; Record, Nicholas – Computers & Education, 2008
As the use of web-based homework delivery and checking systems expands, we have greater need to evaluate how students engage with these systems and how changes in the systems influence student behavior. Reported here is the assessment of WeBWorK, an open-source web-based homework program used largely in postsecondary math and science courses, with…
Descriptors: Calculus, Error Correction, Homework, Student Reaction