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Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
Clarivando Francisco Belizário Júnior; Fabiano Azevedo Dorça; Luciana Pereira de Assis; Alessandro Vivas Andrade – International Journal of Learning Technology, 2024
Loop-based intelligent tutoring systems (ITSs) support the learning process using a step-by-step problem-solving approach. A limitation of ITSs is that few contents are compatible with this approach. On the other hand, recommendation systems can recommend different types of content but ignore the fine-grained concepts typical of the step-by-step…
Descriptors: Artificial Intelligence, Educational Technology, Individualized Instruction, Cognitive Style
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Mingmei Qu – European Journal of Education, 2025
This study investigates the interplay between EFL students' needs, proficiency levels, learning styles and AI-powered adaptive learning platforms in fostering academic engagement. A positive and significant relationship was observed, demonstrating that AI-powered platforms effectively cater to EFL students' individual needs, proficiency levels and…
Descriptors: Second Language Learning, English (Second Language), Technology Uses in Education, Artificial Intelligence
Petkovic, Dalibor; Denic, Nebojša; Perenic, Goran – International Journal of Technology in Education and Science, 2017
Dramatic increase of learning resources has made the process of learning a timeconsuming task for learners to find relevant resources. Recommender systems are increasingly being developed in E-Learning systems to find relevant resources and facilitate both learning and teaching process. The learning style is defined as the learners' preferences in…
Descriptors: Electronic Learning, Artificial Intelligence, Cognitive Style, Taxonomy
Willy A. Renandya; Flora D. Floris – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
The landscape of English Language Teaching (ELT) has evolved significantly over the past 75 years, marked by major shifts in theoretical, technological, and sociocultural approaches to language teaching and learning. From the dominance of behaviorist methods in the mid-20th century to today's innovations in digital, tech-mediated language…
Descriptors: English (Second Language), Second Language Instruction, Educational Technology, Technology Uses in Education
Rozo, Hugo; Real, Miguel – Journal of Technology and Science Education, 2019
The present article constitutes a systematic review of the literature with the objective of identifying the appropriate elements that must be considered when designing and creating adaptive digital educational resources. The methodological process was rigorous and systematic, employing an article search in which the texts related to the object of…
Descriptors: Instructional Design, Intelligent Tutoring Systems, Instructional Materials, Educational Technology
D'souza, Flavia; Kumari S. N, Vijaya – Journal on School Educational Technology, 2018
The fact that the future of a nation lies in the hands of its knowledgeable, technologically skilled, and civilized citizens is irrefutable. Secondary schools are primary centers for acquiring academic excellence as well as essential life skills. With each student being unique in his ability, learning styles, and social background, diverse…
Descriptors: Teaching Methods, Secondary School Students, Physics, Science Education
Mustafa Koc Ed.; Omer Tayfur Ozturk Ed.; Mustafa Lutfi Ciddi Ed. – International Society for Technology, Education, and Science, 2023
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES), which took place on May 18-21, 2023, in Cappadocia, Turkey. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and…
Descriptors: Educational Research, Conferences (Gatherings), Sciences, Intellectual Disciplines
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
Lendi, Tracy Lyn – ProQuest LLC, 2011
E-learning has become a powerful player in the world of academia as well as in the corporate arena and the demand for online learning continues to increase. Even with demand increasing, a consistent practice for the design of self-paced, standalone online learning has yet to be accepted by the instructional design community. Creation of online…
Descriptors: Electronic Learning, Mixed Methods Research, Online Courses, Learning Experience
Greenway, Gina – ProQuest LLC, 2012
Many factors contribute to student achievement. This study focuses on three areas: how students learn, how student personality type affects performance, and how course format affects performance outcomes. The analysis sought to improve understanding of the direction and magnitude with which each of these factors impacts student success. Improved…
Descriptors: Agricultural Education, Personality Traits, Cognitive Style, Learning Processes
Folkestad, James E.; Anderson, Sharon K. – Journal on Educational Psychology, 2009
Is the world "flat" or is the world "spiky"? Although leading authors and thinkers [Florida, 2005] struggle to find the perfect metaphor for describing our 21st century global ecosystem, there is agreement that the landscape is shifting. There is overwhelming agreement that our current education system was designed and…
Descriptors: Mass Instruction, Content Analysis, Web 2.0 Technologies, Multiple Intelligences
Kuhn, Matthew S. – Learning & Leading with Technology, 2008
Tremendous growth in educational technology tools, applications, and Web 2.0 resources have created a plethora of new methods to meet the learning needs of all students. Unfortunately, the potential of these methods is hardly understood before a new technological breakthrough makes its way into the classroom, through either teachers or, more…
Descriptors: Multiple Intelligences, Cognitive Style, Educational Technology, Teaching Methods
Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
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