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Showing 1 to 15 of 35 results Save | Export
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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
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Troussas, Christos; Chrysafiadi, Konstantina; Virvou, Maria – Education and Information Technologies, 2021
Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style, Stereotypes
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Jevsikova, Tatjana; Berniukevicius, Andrius; Kurilovas, Eugenijus – Informatics in Education, 2017
The paper is aimed to present a methodology of learning personalisation based on applying Resource Description Framework (RDF) standard model. Research results are two-fold: first, the results of systematic literature review on Linked Data, RDF "subject-predicate-object" triples, and Web Ontology Language (OWL) application in education…
Descriptors: Metadata, Individualized Instruction, Models, Cognitive Style
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Singh, Ninni; Ahuja, Neelu Jyothi – International Journal of Web-Based Learning and Teaching Technologies, 2019
Face-to-face human tutoring in classroom environments amply facilitates human tutor-learner interactions wherein the tutor gets opportunity to exercise his cognitive intelligence to understand learner's pre-knowledge level, learning pattern, specific learning difficulties, and be able to offer course content well-aligned to the learner's…
Descriptors: Intelligent Tutoring Systems, Sequential Learning, Student Centered Learning, Curriculum Design
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Alhasan, Khawla; Chen, Liming; Chen, Feng – International Association for Development of the Information Society, 2017
Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…
Descriptors: Semantics, Models, Cognitive Style, Electronic Learning
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Fasihuddin, Heba; Skinner, Geoff; Athauda, Rukshan – Education and Information Technologies, 2017
Open learning represents a new form of online learning where courses are provided freely online for large numbers of learners. MOOCs are examples of this form of learning. The authors see an opportunity for personalising open learning environments by adapting to learners' learning styles and providing adaptive support to meet individual learner…
Descriptors: Online Courses, Open Education, Individualized Instruction, Cognitive Style
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Alhawiti, Mohammed M.; Abdelhamid, Yasser – Journal of Education and e-Learning Research, 2017
With the advent of web based learning and content management tools, e-learning has become a matured learning paradigm, and changed the trend of instructional design from instructor centric learning paradigm to learner centric approach, and evolved from "one instructional design for many learners" to "one design for one learner"…
Descriptors: Electronic Learning, Student Centered Learning, Instructional Design, Individualized Instruction
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Drissi, Samia; Amirat, Abdelkrim – International Journal of Distance Education Technologies, 2016
Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Assistive Technology
Lin, Yu-Ju; Kim, ChanMin – Educational Technology, 2013
Most classrooms in the U.S. are composed of students with different learning styles and experiences as well as different achievement levels (Ferguson, 2001). Personalized learning is a unique way of students' learning determined by their own learning style, pace, and needs. Focusing on individual differences, personalized instruction aims to…
Descriptors: Guidelines, Technology Integration, Technology Uses in Education, Design Preferences
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Kerkiri, Tania – International Journal on E-Learning, 2010
A comprehensive presentation is here made on the modular architecture of an e-learning platform with a distinctive emphasis on content personalization, combining advantages from semantic web technology, collaborative filtering and recommendation systems. Modules of this architecture handle information about both the domain-specific didactic…
Descriptors: Electronic Learning, Individualized Instruction, Internet, Information Systems
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Santangelo, Tanya; Tomlinson, Carol Ann – Action in Teacher Education, 2012
Using a cross-sectional survey design, this study was conducted to explore teacher educators' perceptions and use of differentiated instruction practices. Data were collected using an original questionnaire that was designed to reflect Tomlinson's model of differentiation. Although the results suggest some congruence between teacher educators'…
Descriptors: Individualized Instruction, Teacher Attitudes, Teacher Educators, Teacher Surveys
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Samah, Norazrena Abu; Yahaya, Noraffandy; Ali, Mohamad Bilal – Educational Research and Reviews, 2011
The need has arise for the consideration of individual differences, to include their learning styles, learning orientations, preferences and needs in learning to allow learners engage and be responsible for their own learning, retain information longer, apply the knowledge more effectively, have positive attitudes towards the subject, have more…
Descriptors: Feedback (Response), Learning Theories, Cognitive Style, Intentional Learning
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Renzulli, Joseph S.; Renzulli, Sally Reis – Gifted Education International, 2010
This article includes an introduction to the Schoolwide Enrichment Model (SEM), with its three components: a total talent portfolio for each child, curriculum differentiation and modification, and enrichment opportunities from the Enrichment Triad Model. Also included is a brief history of the SEM and a summary of 30 years of research underlying…
Descriptors: Enrichment, School Activities, Models, Gifted
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Filippidis, Stavros K.; Tsoukalas, Ioannis A. – Interactive Learning Environments, 2009
An adaptive educational system that uses adaptive presentation is presented. In this system fragments of different images present the same content and the system can choose the one most relevant to the user based on the sequential-global dimension of Felder-Silverman's learning style theory. In order to retrieve the learning style of each student…
Descriptors: Cognitive Style, Questionnaires, Instructional Materials, Statistical Analysis
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Rayner, Steve – Support for Learning, 2007
The idea of a personal style in learning has grown during the past decade to dominate teacher discourse in the UK. The theory supporting this idea is work in understanding cognitive and learning style. A recent review of learning styles for the Learning and Skills Development Agency in the UK has been widely publicised and is deeply critical of…
Descriptors: Cognitive Style, Foreign Countries, Educational Theories, Educational Philosophy
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