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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
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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
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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
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Pinchot, Jamie; Paullet, Karen – Information Systems Education Journal, 2021
Learner-centered approaches have been found to be effective in online courses for encouraging a deep understanding of course content and for encouraging student engagement. Instructors of two information systems courses revised their online teaching methods to incorporate student choice in assignments. All assignments except a weekly quiz were…
Descriptors: Student Attitudes, Assignments, Student Centered Learning, Educational Environment
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Alomyan, Hesham – International Association for Development of the Information Society, 2017
The purpose of this paper is to provide a coherent framework to present the relationship between individual differences and web-based learning. Two individual difference factors have been identified for investigation within the present paper: Cognitive style and prior knowledge. The importance of individual differences is reviewed and previous…
Descriptors: Models, Web Based Instruction, Individual Differences, Cognitive Style
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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
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Xiang, Xi; Liu, Yan – British Journal of Educational Technology, 2019
There is a dearth of research concerning the learning effects of web-based mapping tools on students with different learning characteristics. This study investigates the extent that different learning styles exert an influence on spatial thinking of students within a web-based GIS mapping environment. Thirty six sophomores utilized the tools over…
Descriptors: Spatial Ability, Cognitive Style, Geographic Information Systems, Undergraduate Students
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Wang, Jen-Hang; Chang, Li-Ping; Chen, Sherry Y. – Journal of Educational Computing Research, 2018
Mobile devices (MDs) change the way of teaching and learning. However, not every student can appreciate the value of MDs. Thus, it is necessary to consider individual differences. Among various individual differences, cognitive styles particularly affect student learning because they refer to individuals' information processing habits. In this…
Descriptors: Cognitive Style, Web Based Instruction, Handheld Devices, Computers
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Moosavian, Seyyed Ali Zeytoon Nejad – American Journal of Business Education, 2017
In the past few decades, two novel variations of syllabus have emerged: namely "the Graphic Syllabus" and "the Interactive Syllabus". Each of these two variations of syllabus has its own special advantages. The present paper argues that there could be devised a new combined version of the two mentioned variations, called…
Descriptors: Course Descriptions, Economics Education, Teaching Methods, Course Organization
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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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Beasley, Jennifer G.; Beck, Dennis E. – TechTrends: Linking Research and Practice to Improve Learning, 2017
Online education has grown over the last ten years and with it has been an increase in diverse learners. In an effort to understand how online teachers meet the needs of diverse learners, researchers surveyed teachers in two cyber schools. 118 participants were asked their definition of differentiation and how differentiation is seen in their…
Descriptors: Web Based Instruction, Online Courses, Teacher Attitudes, Student Needs
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Alomyan, Hesham Raji – Australian Educational Computing, 2016
This paper reports a study, which investigated whether different instructional strategies might interact with individual's cognitive style in learning. A web-based learning package was designed employing three strategies, Interactive Concept Maps, Illustration with Embedded Text and Text-Only. Group Embedded Figure Test was administered to 178…
Descriptors: Web Based Instruction, Teaching Methods, Cognitive Style, Concept Mapping
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Froggé, George M.; Woods, Kathryn H. – College Quarterly, 2018
This study examined academic characteristics and tendencies of first-generation and second-generation students. Students at a mid-sized state university in Tennessee were surveyed to determine their preferred learning format, number of hours enrolled, hours applied toward studying outside the classroom, hours working off-campus, and current GPA.…
Descriptors: Student Characteristics, First Generation College Students, Student Surveys, Preferences
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