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Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
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
Kimble Teresa Parkman-Colbert – ProQuest LLC, 2023
Microlearning is a relatively new educational technology that allows students to learn through short, direct segments using various modalities. The nursing profession has used microlearning to provide continuing medical education (CME). The problem addressed through this study was that instructional designers who create microlearning for medical…
Descriptors: Instructional Design, Nursing Education, Cognitive Style, Professional Continuing Education
Hamza, Lamia; Tlili, Guiassa Yamina – International Journal of Web-Based Learning and Teaching Technologies, 2018
This article addresses the learning style as a criterion for optimization of adaptive content in hypermedia applications. First, the authors present the different optimization approaches proposed in the area of adaptive hypermedia systems whose goal is to define the optimization problem in this type of system. Then, they present the architecture…
Descriptors: Cognitive Style, Hypermedia, Educational Technology, Computer Oriented Programs
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
Samia, Drissi; Amirat, Abdelkrim – International Journal of Distance Education Technologies, 2017
In the past decades, various systems have been proposed to provide students with a better learning environment by taking personal factors into account. Learning styles have been one of the widely adopted factors in the previous studies as a reference for adapting learning content or organizing the content. However, very few researchers give an…
Descriptors: Educational Technology, Technology Uses in Education, Cognitive Style, Teaching Methods
Banire, Bilikis; Jomhari, Nazean; Ahmad, Rodina – Journal of Autism and Developmental Disorders, 2015
The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid…
Descriptors: Autism, Children, Visual Learning, Instructional Design
Evale, Digna S. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate…
Descriptors: Integrated Learning Systems, Technology Integration, Educational Technology, Technology Uses in Education
Ursavas, Omer Faruk; Reisoglu, Ilknur – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to explore the validity of extended technology acceptance model (TAM) in explaining pre-service teachers' Edmodo acceptance and the variation of variables related to TAM among pre-service teachers having different cognitive styles. Design/methodology/approach: Structural equation modeling approach was used to…
Descriptors: Cognitive Style, Structural Equation Models, Models, Validity
Fatahipour, Majid; Ghaseminajm, Mahnaz – Research-publishing.net, 2014
Despite obvious benefits, some challenges exist in the way of sustainable utilization of mobile phone technology for language learning tasks. This paper shows how these challenges can be better addressed in the light of recent advancements in mobile phone technology, like context aware mobile learning, informed with a sound pedagogical basis for…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Second Language Instruction
Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis
Lee, Chen Kang; Sidhu, Manjit Singh – Educational Technology & Society, 2015
Engineering educators have been increasingly taking the learning style theories into serious consideration as part of their efforts to enhance the teaching and learning in engineering. This paper presents a research study to investigate the learning style preference of the mechanical engineering students in Universiti Tenaga Nasional (UNITEN),…
Descriptors: Engineering Education, Cognitive Style, Measures (Individuals), Preferences
Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning
Sims, Rod – Journal of Learning Design, 2015
Since the article "Beyond Instructional Design: Making Learning Design a Reality" (Sims, 2006) was published, much has changed in the opportunities we have for learning, and Professor Rod Sims's thinking has evolved. In this article, Professor Rod Sims reflects upon his original article, and he offers an evolved model of learning design,…
Descriptors: Instructional Design, Online Courses, Electronic Learning, Teaching Methods
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