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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Chu, Jinjin; Szlagor, Maciej – International Journal of Web-Based Learning and Teaching Technologies, 2023
Distance education between the student and the teacher through online sessions can make it difficult for a student who does not understand a concept to ask for clarification. Lack of a physical campus or social pressure from peers can demotivate students from completing their assignments. The framework of multi-intelligence English teaching based…
Descriptors: Distance Education, Blended Learning, Educational Technology, Multiple Intelligences
Zhang, Weiwen – Online Submission, 2020
Recently Prof. Howard Gardner, an outstanding psychologist in the worldwide accepted the interview from Dr. Weiwen Zhang, and talked about a wide range of MI theory and relevant fields, which mainly involved in its core ideas, current situation and future development, and also involved its application in some current hot issues, which gave us…
Descriptors: Multiple Intelligences, Learning Theories, Misconceptions, Criticism
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Narli, Serkan; Ozgen, Kemal; Alkan, Huseyin – Learning and Individual Differences, 2011
The present study aims to identify the relationship between individuals' multiple intelligence areas and their learning styles with mathematical clarity using the concept of rough sets which is used in areas such as artificial intelligence, data reduction, discovery of dependencies, prediction of data significance, and generating decision…
Descriptors: Multiple Intelligences, Cognitive Style, Artificial Intelligence, Data Analysis
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Zajac, Maria – Campus-Wide Information Systems, 2009
Purpose: The purpose of this paper is to present the results of research aimed at collecting the data necessary for preparing personalised content of e-learning courses. Its aim is to show how the information describing individual learning styles can be linked to the rules of creating tailored online courses. Design/methodology/approach: The paper…
Descriptors: Multiple Intelligences, Online Courses, Electronic Learning, Cognitive Style
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Allix, Nicholas M. – Australian Journal of Education, 2000
Argues that although Gardner's conception of human cognition, characterized by a set of multiple and distinct cognitive capabilities, is an advance over the narrow conception of IQ, it runs into fundamental difficulties of a methodological kind and is based on a discredited empiricist theory of knowledge which work with artificial neural networks…
Descriptors: Artificial Intelligence, Cognitive Psychology, Criticism, Epistemology
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Gardner, Howard; Connell, Michael – Australian Journal of Education, 2000
Replies to "The Theory of Multiple Intelligences: A Case of Missing Cognitive Matter," also in this issue. Disagrees about the role theory of knowledge plays in the context of justification of multiple intelligences. Specifically, asserts that the article's criticisms based on philosophy of science claims and work with artificial neural…
Descriptors: Artificial Intelligence, Cognitive Psychology, Criticism, Epistemology