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Su, C. Y.; Wang, T. I. – Computers & Education, 2010
The rapid advance of information and communication technologies (ICT) has important impacts on teaching and learning, as well as on the educational assessment. Teachers may create assessments utilizing some developed assessment software or test authoring tools. However, problems could occur, such as neglecting key concepts in the curriculum or…
Descriptors: Test Items, Educational Assessment, Course Content, Foreign Countries
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Moridis, Christos N.; Economides, Anastasios A. – Computers & Education, 2009
Building computerized mechanisms that will accurately, immediately and continually recognize a learner's affective state and activate an appropriate response based on integrated pedagogical models is becoming one of the main aims of artificial intelligence in education. The goal of this paper is to demonstrate how the various kinds of evidence…
Descriptors: Prediction, Artificial Intelligence, Inferences, Psychological Patterns
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Gutierrez, Eladio; Trenas, Maria A.; Ramos, Julian; Corbera, Francisco; Romero, Sergio – Computers & Education, 2010
This work describes a new "Moodle" module developed to give support to the practical content of a basic computer organization course. This module goes beyond the mere hosting of resources and assignments. It makes use of an automatic checking and verification engine that works on the VHDL designs submitted by the students. The module automatically…
Descriptors: Assignments, Teamwork, Units of Study, Educational Assessment
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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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Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen – Computers & Education, 2009
With the rapid growth of computer and mobile technology, it is a challenge to integrate computer based test (CBT) with mobile learning (m-learning) especially for formative assessment and self-assessment. In terms of self-assessment, computer adaptive test (CAT) is a proper way to enable students to evaluate themselves. In CAT, students are…
Descriptors: Self Evaluation (Individuals), Test Items, Formative Evaluation, Educational Assessment
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Koong, Chorng-Shiuh; Wu, Chi-Ying – Computers & Education, 2010
Multiple intelligences, with its hypothesis and implementation, have ascended to a prominent status among the many instructional methodologies. Meanwhile, pedagogical theories and concepts are in need of more alternative and interactive assessments to prove their prevalence (Kinugasa, Yamashita, Hayashi, Tominaga, & Yamasaki, 2005). In general,…
Descriptors: Multiple Intelligences, Test Items, Grading, Programming
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Ko, C. C.; Cheng, C. D. – Computers & Education, 2008
Electronic examination systems, which include Internet-based system, require extremely complicated installation, configuration and maintenance of software as well as hardware. In this paper, we present the design and development of a flexible, easy-to-use and secure examination system (e-Test), in which any commonly used computer can be used as a…
Descriptors: Computer Assisted Testing, Computers, Program Effectiveness, Examiners
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Chen, Jun-Ming; Chen, Meng-Chang; Sun, Yeali S. – Computers & Education, 2010
For students of English as a Foreign Language (EFL), reading exercises are critical not only for developing strong reading comprehension, but also for developing listening, speaking, and writing skills. Prior research suggests that social, collaborative learning environments are best suited for improving language ability. However, opportunities…
Descriptors: Reading Comprehension, Second Language Learning, Evaluation Methods, Teaching Methods
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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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Cox, Kevin; Clark, David – Computers & Education, 1998
Describes how to construct questions to test all cognitive levels of learning for a course in introductory programming. The framework for learning is based on Bloom's taxonomy. Practical advice is given through examples and by describing a computer system to help deliver quizzes. Includes example questions. (Author/AEF)
Descriptors: Cognitive Processes, Computer Assisted Testing, Computer Science, Computer System Design
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Frosini, G.; Lazzerini, B.; Marcelloni, F. – Computers & Education, 1998
Describes a tool for building software systems which replace the role of the examiner during a typical Italian academic exam in technical/scientific subjects. Such systems are designed to exploit the advantages of self-adapted testing for reducing effects of anxiety, and of computerized adaptive testing for increasing assessment efficiency.…
Descriptors: Adaptive Testing, Anxiety, Automation, Computer Assisted Testing