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Freeze, Ronald D.; Alshare, Khaled A.; Lane, Peggy L.; Wen, H. Joseph – Journal of Information Systems Education, 2010
This study utilized the Information Systems Success (ISS) model in examining e-learning systems success. The study was built on the premise that system quality (SQ) and information quality (IQ) influence system use and user satisfaction, which in turn impact system success. A structural equation model (SEM), using LISREL, was used to test the…
Descriptors: Student Attitudes, User Satisfaction (Information), Structural Equation Models, Information Systems
Yeh, Kuan-Hue; She, Hsiao-Ching – Computers & Education, 2010
The purpose of this study is to examine the difference in effectiveness between two on-line scientific learning programs--one with an argumentation component and one without an argumentation component--on students' scientific argumentation ability and conceptual change. A quasi-experimental design was used in this study. Two classes of 8th grade…
Descriptors: Experimental Groups, Control Groups, Persuasive Discourse, Chemistry
George-Palilonis, Jennifer; Filak, Vincent – International Journal on E-Learning, 2010
As graphically driven, animated, interactive applications offer educators new opportunities for shaping course content, new avenues for research arise as well. Along with these developments comes a need to study the effectiveness of the individual tools at our disposal as well as various methods for integrating those tools in a classroom setting.…
Descriptors: Course Content, Learner Engagement, Science Instruction, Electronic Learning
Wieling, M. B.; Hofman, W. H. A. – Computers & Education, 2010
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…
Descriptors: Feedback (Response), Grade Point Average, Predictor Variables, Lecture Method