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Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
Seong, Somi; Popper, Steven W.; Goldman, Charles A.; Evans, David K. – RAND Corporation, 2008
In the late 1990s, the Korea Ministry of Education and Human Resources, in response to concern over the relatively low standing of the nation's universities and researchers, launched the Brain Korea 21 program BK21). BK21 seeks to make Korean research universities globally competitive and to produce more high-quality researchers in Korea. It…
Descriptors: Higher Education, Database Design, Research Universities, Program Evaluation
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Jeffries, Robin; And Others – Cognitive Psychology, 1977
The water jug task model was extended to four variations of the Missionaries--Cannibals river-crossing problem. Different cover stories resulted in large differences in number of illegal moves, but no difference in number of legal moves to solution. The three-stage process model explains both legal and illegal moves. (Author/GDC)
Descriptors: Cognitive Processes, Decision Making, Games, Higher Education
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Medhurst, Martin J. – Communication Education, 1989
Describes a sequential model (organized around seven writing assignments that culminate in a substantial essay in rhetorical/critical analysis) for teaching rhetorical criticism as written argument. Asserts that learning to write argumentative prose should be a central concern of undergraduate courses in rhetorical criticism. (MM)
Descriptors: Higher Education, Models, Persuasive Discourse, Rhetoric
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Vos, Hans J. – Journal of Educational Computing Research, 1998
Formulates sequential rules for adapting the appropriate amount of instruction to learning needs in the context of computer-based instruction. Topics include Bayesian decision theory, threshold and linear-utility structure, psychometric model, optimal sequential number of test questions, and an empirical example of sequential instructional…
Descriptors: Computer Assisted Instruction, Decision Making, Higher Education, Learning Strategies
Mayer, Richard E. – 1976
Eighty college students with no computer programing experience were the subjects of a study to determine the effects of the use of advanced organizers and subject control of instruction on performance. Students either received a logical or a scrambled sequence of instructional frames on computer programing, were either allowed to alter the order…
Descriptors: Advance Organizers, College Students, Computer Science Education, Educational Research
Wall, Susan V. – 1982
Case studies of six college freshmen enrolled in freshman composition courses that used sequenced assignments addressed to the same topic all term were used to investigate how students define revision, how their teachers define it, and what is important about the differences in these definitions. The students possessed a common theory of revision…
Descriptors: Case Studies, College Freshmen, Higher Education, Models
Hobbs, D. J. – Programmed Learning and Educational Technology, 1987
Description of a study which formulated a model of the cognitive processes involved in learning statistics material via computer assisted learning (CAL) focuses on mode of presentation (aural or visual), sequence of the material, and previous mathematical experience. Textual analysis is discussed and implications of the results for design of CAL…
Descriptors: Analysis of Variance, Aural Learning, Cognitive Processes, Computer Assisted Instruction