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Rüdian, Sylvio; Pinkwart, Niels – International Educational Data Mining Society, 2021
Finding the optimal topic sequence of online courses requires experts with lots of knowledge about taught topics. Having a good order is necessary for a good learning experience. By using educational recommender systems across different platforms we have the problem that the connection to an ontology sometimes does not exist. Thus, the state of…
Descriptors: Online Courses, Sequential Approach, Educational Technology, Computer Uses in Education
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
Rasheed, Fareeha; Wahid, Abdul – International Journal of Information and Learning Technology, 2019
Purpose: The purpose of this paper is to identify the different sequence generation techniques for learning, which are applied to a broad category of personalized learning experiences. The papers have been classified using different attributes, such as the techniques used for sequence generation, attributes used for sequence generation; whether…
Descriptors: Sequential Approach, Electronic Learning, Futures (of Society), Student Characteristics
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2021
For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…
Descriptors: Educational Technology, Technology Uses in Education, Computer Mediated Communication, Video Technology
Wescourt, Keith T.; And Others – 1977
One aspect of tutoring skill for technical subjects is individualized, adaptive sequencing of the problems given to students as learning exercises. A Curriculum Information Network (CIN) describes the relationships between the problems in a CAI curriculum and the concepts and skills that they are intended to teach. It is a basis for selecting…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Concept Teaching, Curriculum Design
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Wescourt, Keith T.; And Others – 1977
This report describes research on the Curriculum Information Network (CIN) paradigm for computer-assisted instruction (CAI) in technical subjects. The CIN concept was first conceived and implemented in the BASIC Instructional Program (BIP). The primary objective of CIN-based CAI and the BIP project has been to develop procedures for providing each…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Curriculum Development, Educational Assessment
Baggett, Patricia – The University of Michigan School of Education Educational Technology Reports, 1989
The first part of this document is the final report of a research project (1984-1989) on designing and implementing an intelligent multimedia tutoring system for repair tasks. The problem/goal and approach, equipment and implementation, experimental work, and results are discussed for three phases of research: (1) developing and testing an…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Graphics, Higher Education