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Kleb Dale G. Bayaras – Online Submission, 2023
In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the…
Descriptors: Foreign Countries, Universities, Introductory Courses, Programming
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Utkarsh Upadhyay; Graham Lancashire; Christoph Moser; Manuel Gomez-Rodriguez – npj Science of Learning, 2021
We perform a large-scale randomized controlled trial to evaluate the potential of machine learning-based instruction sequencing to improve memorization while allowing the learners the freedom to choose their review times. After controlling for the length and frequency of study, we find that learners for whom a machine learning algorithm determines…
Descriptors: Randomized Controlled Trials, Teaching Methods, Memorization, Algorithms
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Ni Li – International Journal of Web-Based Learning and Teaching Technologies, 2025
In depth exploration of how the pandemic has reshaped the education ecosystem over the past three years, especially in the context of the surge in demand for online education courses and learning platforms, this article focuses on the field of student ideological and political education, and innovatively constructs a moral and political education…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Algorithms
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Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
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Vištica, Marija; Grubišic, Ani; Žitko, Branko – International Journal of Information and Learning Technology, 2016
Purpose: In order to initialize a student model in intelligent tutoring systems, some form of initial knowledge test should be given to a student. Since the authors cannot include all domain knowledge in that initial test, a domain knowledge subset should be selected. The paper aims to discuss this issue. Design/methodology/approach: In order to…
Descriptors: Graphs, Intelligent Tutoring Systems, Sampling, Knowledge Management
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