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Douce, Christopher; Livingstone, David; Orwell, James – Journal on Educational Resources in Computing, 2005
Systems that automatically assess student programming assignments have been designed and used for over forty years. Systems that objectively test and mark student programming work were developed simultaneously with programming assessment in the computer science curriculum. This article reviews a number of influential automatic assessment systems,…
Descriptors: Electronic Learning, Programming, Curriculum, Computer Science
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Snyder, Lynn; Caccamise, Donna; Wise, Barbara – Topics in Language Disorders, 2005
This article discusses the main purposes of reading comprehension assessment and identifies the key features of good assessment. The article also identifies pitfalls that clinicians and educators should avoid to conduct valid assessments of reading comprehension, such as the degree to which the measure taps the constructive and integrative…
Descriptors: Reading Tests, Content Validity, Academic Achievement, Reading Comprehension
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Challis, Di – Assessment and Evaluation in Higher Education, 2005
With advances in computerbased technologies and the emergence of elearning, there are unprecedented opportunities to reconsider assessment of learning (and, axiomatically, of teaching) and how this can be undertaken. One approach is adaptive assessment. Although it has existed in the tertiary environment since the time of the oral examination,…
Descriptors: Achievement Tests, Computer Uses in Education, Educational Technology, Computer Assisted Testing
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Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2005
A new test assembly algorithm based on a Monte Carlo random search is presented in this article. A major advantage of the Monte Carlo test assembly over other approaches (integer programming or enumerative heuristics) is that it performs a uniform sampling from the item pool, which provides every feasible item combination (test) with an equal…
Descriptors: Item Banks, Computer Assisted Testing, Monte Carlo Methods, Evaluation Methods
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Lange, Rael T.; Chelune, Gordon J.; Taylor, Michael J.; Woodward, Todd S.; Heaton, Robert K. – Psychological Assessment, 2006
Following the publication of the third edition Wechsler scales (i.e., WAIS-III and WMS-III), demographically corrected norms were made available in the form of a computerized scoring program (i.e., WAIS-III/WMS-III/WIAT-II Scoring Assistant). These norms correct for age, gender, ethnicity, and education. Since then, four new indexes have been…
Descriptors: Norms, Scoring, Memory, Demography
Garcia Laborda, Jesus; Magal Royo, Teresa – Online Submission, 2008
The University entrance examination (PAU) is the most important high-stakes exam in the General educational system in Spain. It has 6 sections of which the Foreign Language one is very relevant to the final score. The English section has had almost not significant changes in the last 20 years despite all the research in language learning and…
Descriptors: Focus Groups, Educational Testing, Language Tests, Test Validity
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Marks, Anthony M.; Cronje, Johannes C. – Educational Technology & Society, 2008
Computer-based assessments are becoming more commonplace, perhaps as a necessity for faculty to cope with large class sizes. These tests often occur in large computer testing venues in which test security may be compromised. In an attempt to limit the likelihood of cheating in such venues, randomised presentation of items is automatically…
Descriptors: Educational Assessment, Educational Testing, Research Needs, Test Items
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Schultz, Marian C.; Schultz, James T.; Gallogly, James – Journal of College Teaching & Learning, 2007
In 2004 Embry-Riddle Aeronautical University transitioned from proctored examinations for distance learning courses to online examinations that are not proctored. The purpose of this study was to determine if there is a significant difference in the midterm and final examination grades between proctored and non-proctored online examinations. Three…
Descriptors: Distance Education, Tests, Grades (Scholastic), Student Evaluation
Wang, Jinhao; Brown, Michelle Stallone – Journal of Technology, Learning, and Assessment, 2007
The current research was conducted to investigate the validity of automated essay scoring (AES) by comparing group mean scores assigned by an AES tool, IntelliMetric [TM] and human raters. Data collection included administering the Texas version of the WriterPlacer "Plus" test and obtaining scores assigned by IntelliMetric [TM] and by…
Descriptors: Test Scoring Machines, Scoring, Comparative Testing, Intermode Differences
Sampson, James P., Jr. – 1995
Computer-assisted testing (CAT) in counseling and therapy is becoming increasingly common due to dramatic improvements in cost-effectiveness and increased counselor familiarity with computer applications. The assumption underlying the use of CAT is that the effectiveness of counseling is improved by allocating repetitive computational and…
Descriptors: Computer Assisted Testing, Computer Uses in Education, Counseling, Counselors
Van Nelson, C.; Henriksen, Larry W. – 1994
The potential for computer adaptive testing (CAT) has been well documented. In order to improve the efficiency of this process, it may be possible to utilize a neural network, or more specifically, a back propagation neural network. The paper asserts that in order to accomplish this end, it must be shown that grouping examinees by ability as…
Descriptors: Classification, College Freshmen, Computer Assisted Testing, Computer Uses in Education
Baker, Eva L.; And Others – 1988
Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Testing, Computer Science
Kalisch, Stanley J. – Journal of Computer-Based Instruction, 1974
A tailored testing model employing the beta distribution, whose mean equals the difficulty of an item and whose variance is approximately equal to the sampling variance of the item difficulty, and employing conditional item difficulties, is proposed. (Author)
Descriptors: Adaptive Testing, Computer Assisted Testing, Evaluation Methods, Item Analysis
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Blanchard, Jay S. – Reading Teacher, 1987
Evaluates the Computer-Based Assessment Instrument (CRAI) as a test for reading proficiency. Notes strengths of CRAI, including its use as a quick assessment of silent reading comprehension level, and the problems with readability and content specific words lists and the lack of scoring features. (JC)
Descriptors: Computer Assisted Testing, Computer Software, Elementary Education, Evaluation Methods
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Kwon, Myoungsook; Goetz, Ernest T.; Zellner, Ronald D. – Journal of Creative Behavior, 1998
A study involving 34 fifth- and sixth graders examined the equivalence of paper-and-pencil and computer-based versions of the Torrance Tests of Creative Thinking (TTCT), Figural Forms A and B. Computer-based TTCT scores were not equivalent with the paper-and-pencil version. Computer-based scores did show different response tendencies among…
Descriptors: Computer Assisted Testing, Computer Uses in Education, Creativity, Evaluation Methods
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