NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Julia Hujar – ProQuest LLC, 2022
Pressures associated with accountability testing have resulted in a narrowing of both the curriculum and pedagogy that does not meet the needs of high ability learners. This study proposed that either a different measurement (an above-level computer adaptive assessment) or a different model (Tobit model) should be used to more accurately…
Descriptors: Academic Ability, Individual Development, Multiple Regression Analysis, Accountability
Peer reviewed Peer reviewed
Direct linkDirect link
D'Souza, Kelwyn A.; Siegfeldt, Denise V. – Decision Sciences Journal of Innovative Education, 2017
Selecting the right methodology to use for detecting cheating in online exams requires considerable time and effort due to a wide variety of scholarly publications on academic dishonesty in online education. This article offers a cheating detection framework that can serve as a guideline for conducting cheating studies. The necessary theories and…
Descriptors: Identification, Cheating, Computer Assisted Testing, Testing Problems
Boretz, Harold F.; And Others – 1984
Previous studies indicate increasing, significant univariate and multivariate correlation between reaction time (RT) tasks and intelligence. Using multiple regression analyses, data from an earlier study by Brown and Boretz were reanalyzed to further investigate the relationship between the speed at which an individual is able to process stimuli…
Descriptors: Cognitive Processes, Computer Assisted Testing, Higher Education, Intelligence
Park, Ok-choon; Tennyson, Robert D. – Contemporary Education Review, 1983
The theoretical rationales and procedures of five adaptive computer-based instruction models were reviewed: the mathematical model, the regression model, the Bayesian probabilistic model, the testing and branching model, and artificially intelligent instructional systems. Each model is assessed for contrast of methods and forms, identifiable…
Descriptors: Artificial Intelligence, Bayesian Statistics, Branching, Computer Assisted Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Wellman, Gregory S. – Journal of Interactive Online Learning, 2005
The purpose of this study was to examine the impact that proctored versus un-proctored testing would have on learning for an on-line content module; and examine the relationship between LASSI variables and learning. A randomized, pre-test/post-test control group design was employed. College students in a pharmacy curriculum, were randomized to two…
Descriptors: Comparative Analysis, Cognitive Style, Measures (Individuals), Online Courses