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Nuntiyagul, Atorn; Naruedomkul, Kanlaya; Cercone, Nick; Wongsawang, Damras – Computers & Education, 2008
We present PKIP, an adaptable learning assistant tool for managing question items in item banks. PKIP is not only able to automatically assist educational users to categorize the question items into predefined categories by their contents but also to correctly retrieve the items by specifying the category and/or the difficulty level. PKIP adapts…
Descriptors: Classification, Item Banks, Adaptive Testing
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Barla, Michal; Bielikova, Maria; Ezzeddinne, Anna Bou; Kramar, Tomas; Simko, Marian; Vozar, Oto – Computers & Education, 2010
In this paper we present a method for adaptive selection of test questions according to the individual needs of students within a web-based educational system. It functions as a combination of three particular methods. The first method is based on the course structure and focuses on the selection of the most appropriate topic for learning. The…
Descriptors: Individual Needs, Item Response Theory, Adaptive Testing, Outcomes of Education
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Klinkenberg, S.; Straatemeier, M.; van der Maas, H. L. J. – Computers & Education, 2011
In this paper we present a model for computerized adaptive practice and monitoring. This model is used in the Maths Garden, a web-based monitoring system, which includes a challenging web environment for children to practice arithmetic. Using a new item response model based on the Elo (1978) rating system and an explicit scoring rule, estimates of…
Descriptors: Test Items, Reaction Time, Scoring, Probability
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Triantafillou, Evangelos; Georgiadou, Elissavet; Economides, Anastasios A. – Computers & Education, 2008
The use of computerized adaptive testing (CAT) has expanded rapidly over recent years mainly due to the advances in communication and information technology. Availability of advanced mobile technologies provides several benefits to e-learning by creating an additional channel of access with mobile devices such as PDAs and mobile phones. This paper…
Descriptors: Formative Evaluation, Adaptive Testing, Computer Assisted Testing, Information Technology
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Lopez-Cuadrado, Javier; Perez, Tomas A.; Vadillo, Jose A.; Gutierrez, Julian – Computers & Education, 2010
The main requisite for a functional computerized adaptive testing system is the need of a calibrated item bank. This text presents the tasks carried out during the calibration of an item bank for assessing knowledge of Basque language. It has been done in terms of the 3-parameter logistic model provided by the item response theory. Besides, this…
Descriptors: Electronic Learning, Item Response Theory, Adult Education, Test Items
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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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Kaburlasos, Vassilis G.; Marinagi, Catherine C.; Tsoukalas, Vassilis Th. – Computers & Education, 2008
This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely "Module for Adaptive Assessment of Students" (or, "MAAS" for short), implements the proposed (feedback) techniques. In conclusion, a pilot…
Descriptors: Feedback (Response), Student Improvement, Computer Science, Bayesian Statistics
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Tseng, Shian-Shyong; Sue, Pei-Chi; Su, Jun-Ming; Weng, Jui-Feng; Tsai, Wen-Nung – Computers & Education, 2007
In recent years, e-learning system has become more and more popular and many adaptive learning environments have been proposed to offer learners customized courses in accordance with their aptitudes and learning results. For achieving the adaptive learning, a predefined concept map of a course is often used to provide adaptive learning guidance…
Descriptors: Concept Mapping, Educational Technology, Virtual Classrooms, Junior High Schools
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Nirmalakhandan, N. – Computers & Education, 2007
Recent research studies have reported on how novices and experts differ in storing, organizing, and retrieving subject matter knowledge and on how they apply their knowledge to solve new problems. These findings have been integrated and implemented in a computer environment to help novices improve their problem-solving skills. An outline of this…
Descriptors: Problem Solving, Computer Assisted Instruction, Higher Education, Student Attitudes
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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