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Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education
Yelon, Stephen – Performance and Instruction, 1992
Guidelines for the integration of effective and efficient practice into the lecture format of higher education curricula are outlined and discussed. An algorithm for incorporating active learning into lecture courses is provided, with examples and discussion of possible constraints. (four references) (EA)
Descriptors: Algorithms, Experiential Learning, Flow Charts, Guidelines
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Dios, R.; Geller, J. – Computers & Education, 1998
Focuses on identifying the educational effects of "activity oriented" instructional techniques. Examines which instructional methods produce enhanced learning and comprehension. Discusses the problem of learning "sorting algorithms," a major topic in every Computer Science curriculum. Presents a low-tech, hands-on teaching method for sorting…
Descriptors: Active Learning, Algorithms, Computer Science Education, Experiential Learning
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Walton, Richard E.; Balestri, Diane – Machine-Mediated Learning, 1987
Examines similarities between composition and programming processes, and reviews two studies that linked instruction in computer programming and freshman composition to help students understand writing as a design discipline. Projects at the University of Montana and Bryn Mawr College which improved students' writing abilities are described. (LRW)
Descriptors: Algorithms, Computer Assisted Instruction, Creative Activities, Freshman Composition
Vadaparty, K.; And Others – 1994
This paper presents the implications of an ongoing project on the design and development of multimedia instructional material for teaching and learning computer science topics at both graduate and undergraduate levels. Important pedagogical requirements that CAI software should satisfy include: (1) animation of the changes in tree topologies; (2)…
Descriptors: Algorithms, Animation, Computer Assisted Instruction, Computer Science Education
Allen, Brockenbrough S.; Erickson, Debra M. – Journal of Instructional Development, 1986
Describes a model for training instructional designers who will work as members of videodisc development teams. This model develops and integrates competencies relating to instructional design, project management, interpersonal skills, storyboarding and flowcharting, programming, video production, and interactive video system knowledge. Three…
Descriptors: Algorithms, Course Content, Flow Charts, Graduate Students
Ingram, Albert L. – Educational Communication and Technology Journal, 1988
Discussion of instructional design models focuses on a study concerned with developing effective instruction in heuristic-based problem solving for computer programing. Highlights include distinctions between algorithms and heuristics; pretests and posttests; revised instructional design procedures; student attitudes; task analysis; and…
Descriptors: Academic Achievement, Algorithms, Guidelines, Heuristics
Peer reviewed Peer reviewed
Canino, Casilda; Cicchelli, Terry – Journal of Educational Computing Research, 1988
Describes aptitude treatment interaction study that used the cognitive styles field dependence and independence matched with computerized algorithmic and discovery treatments to determine mathematics achievement on a criterion-referenced test. Posttest mathematics scores and student responses to the computer are analyzed, and mastery learning is…
Descriptors: Algorithms, Analysis of Covariance, Aptitude Treatment Interaction, Computer Assisted Instruction