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Alexander, Cara J.; Crescini, Weronika M.; Juskewitch, Justin E.; Lachman, Nirusha; Pawlina, Wojciech – Anatomical Sciences Education, 2009
The goals of our study were to determine the predictive value and usability of an audience response system (ARS) as a knowledge assessment tool in an undergraduate medical curriculum. Over a three year period (2006-2008), data were collected from first year didactic blocks in Genetics/Histology and Anatomy/Radiology (n = 42-50 per class). During…
Descriptors: Feedback (Response), Medical Education, Audience Response, Genetics
Aleksic-Maslac, Karmela; Magzan, Masa; Maslac, Ilena – Online Submission, 2008
The fast development of information and communication technologies (ICT) improves greatly education quality. E-learning is an important education component at Zagreb School of Economics and Management (ZSEM) and, in addition, it is obligatory for all our teachers and students. In this paper, the development process of course "Sociology"…
Descriptors: Foreign Countries, Electronic Learning, Tests, Sociology
Huett, Jason Bond; Young, Jon; Huett, Kimberly Cleaves; Moller, Leslie; Bray, Marty – Quarterly Review of Distance Education, 2008
The purpose of this research was to manipulate the component of confidence found in Keller's ARCS Model to enhance the confidence and performance of undergraduate students enrolled in an online course at a Texas University. This experiment used SAM Office 2003 and WebCT for the delivery of the tactics, strategies, confidence-enhancing e-mails…
Descriptors: Control Groups, Undergraduate Students, Online Courses, Instructional Effectiveness
Khare, Anshuman; Lam, Helen – International Journal on E-Learning, 2008
Published papers on the area of online assessment have mainly focused on instructors' assessment of online discussion forums or computer-assisted testing in a highly structured environment with a narrow focus on multiple choice or true-false types of questions. With the exponential growth of online courses and many educational institutions looking…
Descriptors: Online Courses, Computer Assisted Testing, Student Evaluation, Distance Education
Ferguson, Gayle; Sheader, Elizabeth; Grady, Ruth – Bioscience Education e-Journal, 2008
Providing fair assessment with timely feedback for students is a difficult task with science laboratory classes containing large numbers of students. Throughout our Faculty, such classes are assessed by short-answer questions (SAQs) centred on principles encountered in the laboratory. We have shown recently that computer-assisted assessment (CAA)…
Descriptors: Feedback (Response), Student Evaluation, Student Attitudes, Science Laboratories
Angulo, Luis Miguel Villar; de la Rosa, Olga Maria Alegre – Learning Environments Research, 2008
The rapid growth of online learning has led to the development of staff inservice evaluation models that are geared towards improving degree programs. Based on best practices in student online assessment, the Online Faculty Development and Classroom Learning Environment Assessment course was designed to serve the dual purpose of staff development…
Descriptors: Online Courses, Educational Technology, Electronic Learning, Computer Assisted Instruction
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
Samejima, Fumiko – 1980
The rationale behind the method of estimating the operating characteristics of discrete item responses when the test information of the Old Test is not constant was presented previously. In the present study, two subtests of the Old Test, i.e. Subtests 1, and 2, each of which has a different non-constant test information function, are used in…
Descriptors: Computer Assisted Testing, Latent Trait Theory, Mathematical Models

Perry, Devern – Business Education Forum, 1987
Discusses microcomputer-based test types that can measure learning of classroom content: (1) objective examination, (2) hands-on examination, (3) power examination, and (4) take-home examination. Recommends that a combination of power, objective, and take-home examinations achieves representative results with a minimum loss of class time. (CH)
Descriptors: Computer Assisted Testing, Microcomputers, Performance Tests, Test Format
Meijer, Rob R.; van Krimpen-Stoop, Edith M. L. A. – 2003
In this study a cumulative-sum (CUSUM) procedure from the theory of Statistical Process Control was modified and applied in the context of person-fit analysis in a computerized adaptive testing (CAT) environment. Six person-fit statistics were proposed using the CUSUM procedure, and three of them could be used to investigate the CAT in online test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Test Construction

Meijer, Rob R. – Applied Psychological Measurement, 2003
This book provides a general overview of computer based testing (CBT) and aims at an audience of practitioners and graduate students. The book discusses all aspects of BT without going into psychometric detail. This nontechnical and basic book is recommended as a textbook for students or new researchers. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Testing Problems, Textbooks

Latu, Elisapesi; Chapman, Elaine – British Journal of Educational Technology, 2002
Considers the potential of computer adaptive testing (CAT). Discusses the use of CAT instead of traditional paper and pencil tests, identifies decisions that impact the efficacy of CAT, and concludes that CAT is beneficial when used to its full potential on certain types of tests. (LRW)
Descriptors: Adaptive Testing, Computer Assisted Testing, Intermode Differences, Tests

Kalohn, John C.; Spray, Judith A. – Journal of Educational Measurement, 1999
Examined the effects of model misspecification on the precision of decisions made using the sequential probability ratio test (SPRT) in computer testing. Simulation results show that the one-parameter logistic model produced more errors than the true model. (SLD)
Descriptors: Classification, Computer Assisted Testing, Decision Making, Models

Leucht, Richard M. – Applied Psychological Measurement, 1998
Presents a variation of a "greedy" algorithm that can be used in test-assembly problems. The algorithm, the normalized weighted absolute-deviation heuristic, selects items to have a locally optimal fit to a moving set of average criterion values. Demonstrates application of the model. (SLD)
Descriptors: Algorithms, Computer Assisted Testing, Criteria, Heuristics

Bradlow, Eric T.; Weiss, Robert E. – Journal of Educational and Behavioral Statistics, 2001
Compares four methods that map outlier statistics to a familiarity probability scale (a "P" value). Explored these methods in the context of computerized adaptive test data from a 1995 nationally administered computerized examination for professionals in the medical industry. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Probability, Test Construction