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O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Engin Demir; Huseyin Cevik – Turkish Online Journal of Distance Education, 2025
Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…
Descriptors: Student Attitudes, Electronic Learning, Educational Technology, Predictor Variables
Shrestha, Sushil; Joshi, Manish; Bashyal, Aakash; Timilsina, Arun; Subedi, Sushant – Journal of Educational Technology Systems, 2023
The increase in usage of Online Learning systems has provided a challenge to deliver e-contents based on user needs. This study uses learning style data to determine the learning profile and provide the content based on the user's needs, whereas gamified elements are used to increase user engagement. The combination of these two approaches would…
Descriptors: Gamification, Cognitive Style, Electronic Learning, Learning Management Systems
Sanal Kumar T. S.; R. Thandeeswaran – Education and Information Technologies, 2024
The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These platforms never considered the essential attributes of student characteristics and learning preferences while designing such a problematic subject having high dropout and failure rates. The traditional…
Descriptors: Blended Learning, Electronic Learning, Higher Education, Programming
Michal Cerný – Journal of Educators Online, 2023
This study is a mixed design study on a sample of 87 respondents to a questionnaire in the Information Studies and Library Science program in Brno that identifies their attitudes towards hybrid teaching. Hybrid teaching is understood as synchronous education with the choice of participating in an online or face-to-face educational session. The…
Descriptors: Foreign Countries, Library Science, Information Science Education, Graduate Students
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
Mu, Su; Cui, Meng; Wang, Xiao Jin; Qiao, Jin Xiu; Tang, Dong Mei – Interactive Technology and Smart Education, 2019
Purpose: This study aims to use eye-tracking technology to conduct an empirical study about online learning process analysis, thus aiming to understand the attentional preferences and learning paths in online learners. Design/methodology/approach: With eye movement tracking and data analysing technology, the Tobii X120 eye-tracking instrument,…
Descriptors: Attention, Preferences, Electronic Learning, Eye Movements
Kamal, Anju; Radhakrishnan, Souhreda – Education and Information Technologies, 2019
Differences in styles of learning have become important considerations at all levels of education over the last several years. Examining college students' preferred style of learning is useful for course design and effective instructional methods. Using the Felder-Silverman Index of Learning Styles (ILS), and MBTI Inventories we investigate the…
Descriptors: Cognitive Style, Personality Traits, Preferences, Electronic Learning
Ge, Zi-Gang – Interactive Learning Environments, 2021
The present study aims to explore the impact of mismatch between learners' media preference and media assigned to them on their learning performance. The participants were 214 adult Chinese e-learners enrolled for an English course, and were assigned to 6 groups based on their media preferences and the media assigned to them. A 2 × 3…
Descriptors: Educational Media, Multimedia Materials, Learning Modalities, Cognitive Style
Heidi Lynn Riley-Ancar – ProQuest LLC, 2022
This qualitative exploratory case study looked at the challenges of perceived accessibility that needed to be addressed for visually impaired students to succeed in degree completion within the online learning environment. The biopsychosocial model of disability examined how human and environmental factors (social, biological, and psychological)…
Descriptors: Undergraduate Students, Graduate Students, Visual Impairments, Accessibility (for Disabled)
El Aissaoui, Ouafae; El Alami El Madani, Yasser; Oughdir, Lahcen; El Allioui, Youssouf – Education and Information Technologies, 2019
Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…
Descriptors: Classification, Cognitive Style, Models, Electronic Learning
Maaliw, Renato R., III – Online Submission, 2020
Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Individualized Instruction
Olear, Craig – ProQuest LLC, 2018
Distance education continues to grow every year, becoming more prevalent in higher education at institutions around the world. The purpose of this study was to examine college student preferences of instructional delivery method both as a standalone variable as well as through the lens of the Kolb's Experiential Learning Theory (ELT), specifically…
Descriptors: Preferences, Electronic Learning, Learner Engagement, College Students
Girón-García, Carolina; Gargallo-Camarillas, Noelia – The EUROCALL Review, 2020
The advent of various interactive multimedia networks in the English for Specific Purposes (ESP) classroom (Grabe & Grabe, 2007) has led to the emergence of new learning methodologies (Ming-Hung et al., 2017). Accordingly, new ways of learning are present in a multimodal environment , and have caused an effect on students' degree of…
Descriptors: Learning Modalities, Kinesthetic Perception, Tactual Perception, Auditory Perception
Yu, Eunjyu – Journal of Educators Online, 2020
This article identifies factors that help Generation Z students succeed in a fully online learning environment for communication skills. Out of a diverse number of learner characteristics, the learners' home institutions significantly impacted their preference for instructional delivery modality. The participants described a flexible schedule and…
Descriptors: Electronic Learning, Age Groups, Online Courses, Blended Learning