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Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
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David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence
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Vanermen, Lanze; Vlieghe, Joris; Decuypere, Mathias – Curriculum Inquiry, 2022
In open and higher education, digital technologies are increasingly used to enable flexible learning pathways and unbundle programs into separate courses. Whereas technologies have been praised for enhancing the flexibility of curricula, the implications of going digital have yet to be fully explored in curriculum studies. This article aims to…
Descriptors: Open Education, Higher Education, Flexible Scheduling, Learning Management Systems
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
Coyle, Karen – 1992
The University of California Catalog and Periodicals databases each have over 20 separately contributing libraries, and records for the same work can enter the MELVYL system from different campus libraries. MELVYL's goal is to have one union record for each distinct edition of a work. To promote this goal, the University's Division of Library…
Descriptors: Academic Libraries, Algorithms, Bibliographic Databases, Bibliographic Records
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