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Liz A. Awang; Farrah D. Yusop; Mahmoud Danaee – International Electronic Journal of Mathematics Education, 2025
Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Technology, Technology Uses in Education
Wayne Harrison; Steve Higgins – Education Development Trust, 2023
The COVID-19 pandemic has had an unprecedented impact on education systems worldwide, leading to significant learning loss, exacerbating existing educational inequalities and disproportionately affecting disadvantaged students. Governments around the world have begun to invest in large-scale tutoring initiatives as a key component of their…
Descriptors: COVID-19, Pandemics, Tutoring, Tutorial Programs
Potsirin Limpinan; Ampawan Yindeemak; Rungfa Pasmala; Manop Nammanee; Thada Jantakoon – Higher Education Studies, 2025
This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…
Descriptors: Bibliometrics, Artificial Intelligence, Authors, Network Analysis
Zelazo, Philip David; Blair, Clancy B.; Willoughby, Michael T. – National Center for Education Research, 2016
Executive function (EF) skills are the attention-regulation skills that make it possible to sustain attention, keep goals and information in mind, refrain from responding immediately, resist distraction, tolerate frustration, consider the consequences of different behaviors, reflect on past experiences, and plan for the future. As EF research…
Descriptors: Executive Function, Attention Control, Educational Research, Learning Processes
Goodwin, Bryan; McIver, Monette; Snyder, Chris; Ryan, Susan – Mid-continent Research for Education and Learning (McREL), 2009
This document is one of eight reports prepared to support the development of a new learning system, a development effort that is the first step in a major initiative undertaken by the Stupski Foundation. The Foundation endeavors to improve the life options of all students, especially underserved urban youth of color by fundamentally redesigning…
Descriptors: Urban Education, Minority Group Students, At Risk Students, Disadvantaged Youth
Bass, Ronald K.; Hand, James D. – 1978
This chapter outlines the measurement and interpretation of cognitive style using the conceptual structure of Educational Cognitive Style and the Educational Sciences developed by Dr. Joseph Hill and others. The measurement and interpretation of 36 aspects of cognitive style are discussed, as well as the use of cognitive style mapping (the graphic…
Descriptors: Cognitive Mapping, Cognitive Measurement, Cognitive Style, Individualized Instruction
Stewart, William J. – Educational Technology, 1984
Based on the premise that computers could translate brain research findings into classroom practice, this article presents discoveries concerning human brain development, organization, and operation, and describes brain activity monitoring devices, brain function and structure variables, and a procedure for monitoring and analyzing brain activity…
Descriptors: Classroom Techniques, Computer Oriented Programs, Electronic Equipment, Individual Characteristics
Driscoll, Marcy P. – 1987
This review of the research on aptitude-treatment interaction (ATI) discusses four methods or assumptions that might explain why ATI research has not generated the anticipated empirical support: (1) the lack of a theoretical base; (2) disagreement over what a given aptitude means and how it should be measured; (3) difficulties in defining…
Descriptors: Aptitude Treatment Interaction, Cognitive Processes, Cognitive Style, Individualized Instruction
Brinkley, Robert C. – 1986
This paper outlines the method and theoretical basis for establishing and implementing an independent study music curriculum. The curriculum combines practical and theoretical paradigms and leads to an external degree. The computer, in direct interaction with the student, is the primary instructional tool, and the teacher is involved in indirect…
Descriptors: Adult Education, Adult Programs, Computer Assisted Instruction, External Degree Programs
Peer reviewedKavale, Kenneth A.; Forness, Steven R. – Exceptional Children, 1987
A literature search identified 39 studies assessing modality preferences and modality teaching. The studies, involving 3,087 disabled and nondisabled elementary/secondary level subjects, were quantitatively synthesized. Subjects receiving differential instruction based on modality preferences exhibited only modest gains. (Author/JDD)
Descriptors: Cognitive Style, Diagnostic Teaching, Disabilities, Elementary Secondary Education
Yang, Jung-Shing – Educational Technology, 1987
This literature review discusses the differences between individual and individualized instruction and explores ways of leading future computer assisted instruction (CAI) toward genuine individualized instruction. The development and design of intelligent CAI are described, and topics for future studies are suggested. (LRW)
Descriptors: Artificial Intelligence, Cognitive Psychology, Comparative Analysis, Computer Assisted Instruction
Skinner, Michael E. – Educational Technology, 1988
Discusses the importance of student attitudes as a factor in the successful implementation of computer-assisted instruction at the college level. A study that examined student attitudes and achievement when working with computer-assisted instruction in a personalized system of instruction is described. (36 references) (CLB)
Descriptors: Attitude Measures, Computer Assisted Instruction, Cost Effectiveness, Higher Education
Peer reviewedOhlsson, Stellan – Instructional Science, 1986
Research on intelligent tutoring systems is discussed from the point of view of providing moment-by-moment adaptation of content and form of instruction to the changing cognitive needs of individual learners. Implications of this goal for cognitive diagnosis, subject matter analysis, teaching tactics, and teaching strategies are analyzed. (Author)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Simulation, Diagnostic Teaching
Smith, Patricia L. – 1984
Microcomputers have presented instructional designers with an ideal tool with which to deliver individualized instruction. With a few exceptions, however, the results of cognitive styles research do not provide sufficient conclusions upon which to make design decisions. Critically missing in many studies is an explication of the conceptual binding…
Descriptors: Cognitive Processes, Cognitive Style, Individual Needs, Individualized Instruction
McCombs, Barbara L.; Bruce, Kathy L. – 1984
This paper focuses on how microcomputer technology can be used to manage individualization that is based on student differences in cognitive style. Generalized approaches to individualization and the management of individualization are discussed, along with specific approaches based on individual differences in cognitive style variables. Benefits…
Descriptors: Autoinstructional Aids, Cognitive Style, Computer Assisted Instruction, Computer Managed Instruction
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