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Samuel, Roy David; Kim, Chanmin; Johnson, Tristan E. – Journal of Educational Computing Research, 2011
The transition from classroom instruction to e-learning raises pedagogical challenges for university instructors. A controlled integration of e-learning tools into classroom instruction may offer learners tangible benefits and improved effectiveness. This design-based research (DBR) study engaged students in e-learning activities integrated into…
Descriptors: Student Attitudes, Self Efficacy, Negative Attitudes, Computers
Bowman, Charles Robert – ProQuest LLC, 2012
Improving student performance is the goal of any chemistry educator. With the proliferation of internet technologies in recent years, educators have been struggling with providing effective learning materials to students online. These materials also have not always had the intended effect of improving student performance. Either students do not…
Descriptors: Study Habits, Student Attitudes, Correlation, Schematic Studies
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Veletsianos, G. – Journal of Computer Assisted Learning, 2009
The possible benefits of agent expressiveness have been highlighted in previous literature; yet, the issue of verbal expressiveness has been left unexplored. I hypothesize that agent verbal expressiveness may improve the interaction between pedagogical agents and learners, ultimately enhancing learning outcomes. Evidence from a quasi-experimental…
Descriptors: Computer Assisted Instruction, Computer Software, Feedback (Response), Interaction
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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
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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
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Kazi, Hameedullah; Haddawy, Peter; Suebnukarn, Siriwan – International Journal of Artificial Intelligence in Education, 2009
In well-defined domains such as Physics, Mathematics, and Chemistry, solutions to a posed problem can objectively be classified as correct or incorrect. In ill-defined domains such as medicine, the classification of solutions to a patient problem as correct or incorrect is much more complex. Typical tutoring systems accept only a small set of…
Descriptors: Foreign Countries, Problem Based Learning, Problem Solving, Correlation
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
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Yang, Yu-Fen; Wong, Wing-Kwong; Yeh, Hui-Chin – Educational Technology & Society, 2008
The major purpose of this study is to assist college students in constructing mental representation of referential resolution in a computer system. Ninety students were asked to draw mental maps indicating the relationships between references, take reading comprehension tests, and fill out open-ended questionnaire. Results showed that the…
Descriptors: Correlation, Reading Processes, Feedback (Response), Reading Comprehension