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Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
Michael Messer Sr. – ProQuest LLC, 2024
Dating back to 1998, researchers established that adults learn differently than younger, recent high school graduates. Even with decades of research on the topic, approximately 39 million American adults have attended college but left school without obtaining a degree. The research questions addressed the purpose of this qualitative exploratory…
Descriptors: Adult Learning, Higher Education, Distance Education, Electronic Learning
Zeynep Tatli; Ahmet Gülay; Bahar Muradoglu; Seyma Nur Bekar – Journal of Educational Technology and Online Learning, 2023
This embedded design mixed-method study aimed to evaluate the teaching materials developed by primary school teacher candidates using Web 2.0 tools in line with their learning styles. The participants comprised 60 primary school teacher candidates identified via purposive sampling. The data were collected with the Maggie McVay Lynch Learning Style…
Descriptors: Elementary School Teachers, Instructional Materials, Electronic Learning, Online Courses
Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
Mullen, Carol A. – Journal of Further and Higher Education, 2020
Expectations for online distance delivery of higher education courses and programmes are increasing globally, begging the question, 'Does modality matter?' Pedagogic research comparing online and face-to-face learningdemands more examination, particularly synchronous delivery. The purpose of this empirical study is to determine whether the quality…
Descriptors: Graduate Students, Masters Programs, Cognitive Style, Teaching Methods
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
Kuo, Ping-Hong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Technology and innovation are the power of human civilization. In face of such a changeable era, the rapid development and circulation of information technology has hastened the diversification of society. To cope with the approach of information society, teaching methods should also be changed, as traditional injection education could no longer…
Descriptors: Foreign Countries, Synchronous Communication, Web Based Instruction, Creative Thinking
Özdemir, Muzaffer – European Journal of Contemporary Education, 2016
This study investigates the relationships between the primary learning styles of students and different learning objects presented simultaneously in an online learning environment in the context of the usage levels of these objects. A total of 103 sophomores from a Turkish State University participated in the study. Felder-Solomon Index of…
Descriptors: Cognitive Style, Behavioral Objectives, Foreign Countries, Instructional Materials
Wongwatkit, Charoenchai; Srisawasdi, Niwat; Hwang, Gwo-Jen; Panjaburee, Patcharin – Interactive Learning Environments, 2017
The advancement of computer and communication technologies has enabled students to learn across various real-world contexts with supports from the learning system. In the meantime, researchers have emphasized the necessity of providing personalized learning guidance or support by considering individual students' status and needs in order to…
Descriptors: Electronic Learning, Web Based Instruction, Educational Diagnosis, Formative Evaluation
Popescu, Elvira – International Journal of Distance Education Technologies, 2010
This paper deals with the use of learning styles in technology-enhanced learning by introducing a "Unified Learning Style Model" (ULSM). The article aims at providing answers to three main questions: "What is ULSM?", "Why do we need it?" and "How can we use it?" First, a critical analysis regarding learning styles is provided; the identified…
Descriptors: Cognitive Style, Models, Electronic Learning, Web Based Instruction
Santally, Mohammad Issack; Senteni, Alain – European Journal of Open, Distance and E-Learning, 2013
Personalisation of e-learning environments is an interesting research area in which the learning experience of learners is generally believed to be improved when his or her personal learning preferences are taken into account. One such learning preference is the V-A-K instrument that classifies learners as visual, auditory or kinaesthetic. In this…
Descriptors: Learning Experience, Student Experience, Instructional Effectiveness, Individualized Instruction
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
Kriegel, Jessica – ProQuest LLC, 2013
In today's global and high-tech economy, the primary contributing factor to sustainable competitive advantage is the strategic development of employees, an organization's only unique asset. However, with four generations actively present in the workforce and the proliferation of web-based learning as a key method for developing…
Descriptors: Generational Differences, Cognitive Style, Preferences, Cohort Analysis
Featro, Susan Mary – ProQuest LLC, 2012
The study gathered data on learning styles, technical comfort level, age, gender, and undergraduate or graduate status to determine if these are predictors of student satisfaction in online learning environments. Student satisfaction was considered in terms of learner-content interaction, learner-instructor interaction, learner-learner…
Descriptors: Interaction, Cognitive Style, Electronic Learning, Online Courses
Pernas, Ana Marilza; Diaz, Alicia; Motz, Regina; de Oliveira, Jose Palazzo Moreira – Interactive Technology and Smart Education, 2012
Purpose: The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new…
Descriptors: Electronic Learning, Student Needs, Cognitive Style, Internet