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The Effect of Emotional Feedback on Behavioral Intention to Use Computer Based Assessment
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Terzis, Vasileios; Moridis, Christos N.; Economides, Anastasios A. – Computers & Education, 2012
This study introduces emotional feedback as a construct in an acceptance model. It explores the effect of emotional feedback on behavioral intention to use Computer Based Assessment (CBA). A female Embodied Conversational Agent (ECA) with empathetic encouragement behavior was displayed as emotional feedback. More specifically, this research aims…
Descriptors: Feedback (Response), Computer Assisted Testing, Computer Uses in Education, Intention
A Multi-Expert Approach for Developing Testing and Diagnostic Systems Based on the Concept-Effect Model
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Panjaburee, Patcharin; Hwang, Gwo-Jen; Triampo, Wannapong; Shih, Bo-Ying – Computers & Education, 2010
With the popularization of computer and communication technologies, researchers have attempted to develop computer-assisted testing and diagnostic systems to help students improve their learning performance on the Internet. In developing a diagnostic system for detecting students' learning problems, it is difficult for individual teachers to…
Descriptors: Learning Problems, Test Items, Testing, Teaching Methods
The Acceptance and Use of Computer Based Assessment
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Terzis, Vasileios; Economides, Anastasios A. – Computers & Education, 2011
The effective development of a computer based assessment (CBA) depends on students' acceptance. The purpose of this study is to build a model that demonstrates the constructs that affect students' behavioral intention to use a CBA. The proposed model, Computer Based Assessment Acceptance Model (CBAAM) is based on previous models of technology…
Descriptors: Self Efficacy, Computer Assisted Testing, Computer Uses in Education, Intention
Intelligent Preference Selection Model Based on NRE for Evaluating Student Learning Achievement
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Chen, Yao-Hsien; Cheng, Ching-Hsue; Liu, Jing-Wei – Computers & Education, 2010
In order to evaluate student learning achievement, several aspects should be considered, such as exercises, examinations, and observations. Traditionally, such an evaluation calculates a final score using a weighted average method after awarding numerical scores, and then determines a grade according to a set of established crisp criteria.…
Descriptors: Feedback (Response), Academic Achievement, Student Evaluation, Grading
An Intelligent E-Learning System Based on Learner Profiling and Learning Resources Adaptation
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Tzouveli, Paraskevi; Mylonas, Phivos; Kollias, Stefanos – Computers & Education, 2008
Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners' profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge…
Descriptors: Educational Needs, Distance Education, Knowledge Level, Questionnaires
Mining LMS Data to Develop an "Early Warning System" for Educators: A Proof of Concept
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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