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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
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
Doherty, R. William; Hilberg, R. Soleste – Journal of Educational Research, 2008
The authors reported findings from 3 studies examining the efficacy of Five Standards pedagogy in raising student achievement. Studies 1 and 2 were randomized designs; Study 3 was a quasi-experimental design. Samples included 53 teachers and 622 predominantly low-income Latino students in Grades 1-4. Studies assessed model fidelity with the…
Descriptors: Quasiexperimental Design, Adaptive Testing, Academic Achievement, Second Language Learning
Sitthiworachart, J.; Joy, M. – Journal of Computer Assisted Learning, 2008
Active learning is considered by many academics as an important and effective learning strategy. Assessment is integrated in learning as a tool for learning, but traditional assessment methods often encourage surface learning (passive learning) rather than deep learning (active learning). Peer assessment is a method of motivating students,…
Descriptors: Peer Evaluation, Learning Strategies, Active Learning, Programming
Carpenter, Shana K.; Pashler, Harold – Online Submission, 2007
Psychological research shows that learning can be powerfully enhanced through testing, but this finding has so far been confined to memory tasks requiring verbal responses. We explored whether testing can enhance learning of visuospatial information in maps. Fifty subjects each studied 2 maps, one through conventional study, and the other through…
Descriptors: Psychological Studies, Testing, Maps, Nonverbal Learning
Singleton, Chris; Henderson, Lisa-Marie – Dyslexia, 2007
Visual stress--a condition in which unpleasant visual symptoms are experienced when reading--has been reported to be more prevalent in dyslexic individuals but at the present time the relationship between dyslexia and visual stress remains controversial. ViSS, a computerized visual stress screener that incorporates reading-like visual search, has…
Descriptors: Dyslexia, Reading Rate, Visual Perception, Symptoms (Individual Disorders)
Eberwein, Cynthia A.; Pratt, Sheila R.; McNeil, Malcolm R.; Fossett, Tepanta R. D.; Szuminsky, Neil J.; Doyle, Patrick J. – Journal of Speech, Language, and Hearing Research, 2007
Purpose: To assess the Computerized Revised Token Test (CRTT) performance of individuals with normal hearing under several intensity conditions and under several spectral and temporal perturbation conditions. Method: Sixty normal-hearing listeners were randomly assigned to 1 of 3 groups. Group 1 provided performance-intensity information about…
Descriptors: Stimuli, Hearing Impairments, Auditory Stimuli, Auditory Perception
Ritter, Lois A., Ed.; Sue, Valerie M., Ed. – New Directions for Evaluation, 2007
This chapter provides an overview of sampling methods that are appropriate for conducting online surveys. The authors review some of the basic concepts relevant to online survey sampling, present some probability and nonprobability techniques for selecting a sample, and briefly discuss sample size determination and nonresponse bias. Although some…
Descriptors: Sampling, Probability, Evaluation Methods, Computer Assisted Testing
Stocking, Martha L.; And Others – 1991
A previously developed method of automatically selecting items for inclusion in a test subject to constraints on item content and statistical properties is applied to real data. Two tests are first assembled by experts in test construction who normally assemble such tests on a routine basis. Using the same pool of items and constraints articulated…
Descriptors: Algorithms, Automation, Coding, Computer Assisted Testing
Law, Michael P.; And Others – 1995
This paper discusses a variety of development strategies and issues involved in the development of electronic performance support systems (EPSS) for professionals. The topics of front-end analysis, development, and evaluation are explored in the context of a case study involving the development of an EPSS to support teachers in the use of…
Descriptors: Alternative Assessment, Case Studies, Computer Assisted Testing, Educational Assessment
Lee, William M.; And Others – 1989
Projects to develop an automated item banking and test development system have been undertaken on several occasions at the Air Force Human Resources Laboratory (AFHRL) throughout the past 10 years. Such a system permits the construction of tests in far less time and with a higher degree of accuracy than earlier test construction procedures. This…
Descriptors: Automation, Computer Assisted Testing, Item Banks, Item Response Theory
Krass, Iosif A. – 1998
In the process of item calibration for a computerized adaptive test (CAT), many well-established calibrating packages show weakness in the estimation of item parameters. This paper introduces an on-line calibration algorithm based on the convexity of likelihood functions. This package consists of: (1) an algorithm that estimates examinee ability…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Rice, Gary E. – 1991
This study examined the constructs of a study skill--highlighting--to determine whether the constructs for highlighting in a paper mode would be the same as highlighting in a computer mode. Constructs are defined as the underlying processes that are elicited in an experimental setting and that provide a basis for explaining the relations among the…
Descriptors: Comparative Analysis, Computer Assisted Testing, Higher Education, Intermode Differences
Peay, Edmund R. – 1982
The method for questionnaire construction described in this paper makes it convenient to generate as many different forms for a questionnaire as there are respondents. The method is based on using the computer to produce the questionnaire forms themselves. In this way the items or subgroups of items of the questionnaire may be randomly ordered or…
Descriptors: Computer Assisted Testing, Computer Software, Questionnaires, Sampling
Walz, Garry R.; Bleuer, Jeanne C. – 1989
This document is a guide to counseling software. It presents overviews on the state of development of counseling and human services software in five major topic areas including personal counseling, career counseling, academic advising, testing and administration. It provides factual and up-to-date descriptions of over 500 counseling-relevant…
Descriptors: Academic Advising, Administration, Career Counseling, Computer Assisted Testing

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