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Direct linkHan, Suhwa; Kang, Hyeon-Ah – Journal of Educational Measurement, 2023
The study presents multivariate sequential monitoring procedures for examining test-taking behaviors online. The procedures monitor examinee's responses and response times and signal aberrancy as soon as significant change is identifieddetected in the test-taking behavior. The study in particular proposes three schemes to track different…
Descriptors: Test Wiseness, Student Behavior, Item Response Theory, Computer Assisted Testing
Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
Liben, Lynn S.; Kastens, Kim A.; Christensen, Adam E. – Cognition and Instruction, 2011
To study the role of spatial concepts in science learning, 125 college students with high, medium, or low scores on a horizontality (water-level) spatial task were given information about geological strike and dip using existing educational materials. Participants mapped an outcrop's strike and dip, a rod's orientation, pointed to a distant…
Descriptors: Student Evaluation, Error Patterns, Spatial Ability, Teaching Methods
Peer reviewedAiken, Lewis R. – Research in Higher Education, 1991
Research and practice in detecting and controlling for cheating on objective tests are reviewed and a small survey of attitudes and practices is reported. Potential of two computer programs to detect error similarities and use of multiple answer-sheet forms to control cheating are discussed. Teacher cheating is also addressed. (Author/MSE)
Descriptors: Answer Sheets, Cheating, Computer Software, Error Patterns
Morrison, Gale M.; Peterson, Reece; O'Farrell, Stacy; Redding, Megan – Journal of School Violence, 2004
Perhaps the most "naturally occurring" data on school misbehavior and aggression are school discipline data, including office referrals, suspensions, and expulsion data. These data constitute the most common markers of school discipline status available on school campuses. There is, however, very little information available in professional or…
Descriptors: Campuses, Student Behavior, Expulsion, School Safety
Peer reviewedRath, Alex; Brown, David E. – Journal of Educational Computing Research, 1995
Presents a human-computer interaction (HCI) conceptions model designed to help in the understanding of the cognitive processes involved when college students learn to program computers. Examines syntactic and algorithmic HCI operational errors and reviews conceptions based on natural language reasoning, independent computer reasoning, and…
Descriptors: Cognitive Processes, College Students, Computers, Designers
