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Houssam El Aouifi; Mohamed El Hajji; Youssef Es-Saady; Hassan Douzi – IEEE Transactions on Learning Technologies, 2024
Recently, using videos as a learning resource has received a lot of attention and turned widely exploited as an effective learning tool. With the rapid spread of instructional videos, the number of these tools in all disciplines is becoming very high. It is fractious for learners to find video courses adapted to their needs. Recommender system is…
Descriptors: Video Technology, Teaching Methods, Instructional Effectiveness, Cognitive Style
Hong, Jon-Chao; Hwang, Ming-Yueh; Hsu, Hui-Ting; Tai, Kai-Hsin – Journal of Research on Technology in Education, 2023
Gestalt perception relates to inferring a holistic scene from separate elements. Using this theory, an application game named Gestalt Puzzle was designed for students to play by recognizing a few parts of an image to reason the whole image of a particular object. Cognitive style can be divided into field independence (FI) and field dependence (FD)…
Descriptors: Game Based Learning, Self Efficacy, Anxiety, Cognitive Style
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
Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
Kokoç, Mehmet; IIgaz, Hale; Altun, Arif – Educational Technology Research and Development, 2020
Video lectures are one of the primary learning resources embedded in e-learning environments. Many universities prepare video lectures and share them as open course materials with students. In order to make the learning process more efficient and effective, it is very important to design and personalize those learning resources for learners,…
Descriptors: Attention Control, Video Technology, Design, Lecture Method
Chen, Chia-Chen; Huang, Po-Hao – Interactive Learning Environments, 2023
In order to explore whether STEAM education in combination with elementary school curriculums can help students' learning performance, this study developed a digital learning system. This digital learning system combined STEAM concepts with elements of gamebased learning. This study developed the curriculum content based on the unit of…
Descriptors: Art Education, STEM Education, Electronic Learning, Handheld Devices
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
Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
Alshammari, Mohammad T.; Qtaish, Amjad – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…
Descriptors: Electronic Learning, Cognitive Style, Knowledge Level, Individualized Instruction
Encarnacion, Riah F. Elcullada; Galang, Annjeannette Alain D.; Hallar, Byron Joseph A. – Online Submission, 2021
Purpose: This paper presents research findings on the effectiveness and impact of E-Learning to the teaching and learning process of the Undergraduate Program (UGP) and General Foundation Program (GFP) at Oman Tourism College in Muscat, Sultanate of Oman. Method: Teacher and student experience on E-Learning were evaluated by utilizing mixed…
Descriptors: Electronic Learning, Online Courses, Integrated Learning Systems, Distance Education
Mudrák, Marián; Turcáni, Milan; Reichel, Jaroslav – Journal on Efficiency and Responsibility in Education and Science, 2020
At current e-learning platforms, is often seen non-efficient usage of their possibilities when creating educational content. This article deals with the possibilities of using adaptive tools that are offered by learning management system (LMS) Moodle when creating a personalised e-course. The methodology created by the authors of the article for…
Descriptors: Individualized Instruction, Computer Science Education, Electronic Learning, Online Courses
Pürbudak, Aysegül; Usta, Ertugrul – Participatory Educational Research, 2021
The aim of this research is to determine the learning styles of Web 2.0 based collaborative group activities; to examine the effects on academic achievement, online cooperative learning attitude level, computer thinking skill level. The research was carried out with a quantitative method and a pretest-posttest control group quasi-experimental…
Descriptors: Group Activities, Cooperative Learning, Electronic Learning, Cognitive Style
Tambunan, Hamonangan; Silitonga, Marsangkap; Sidabutar, Uli Basa – International Journal of Higher Education, 2019
Differences in statements about the practice of blended learning (a combination of online and face-to-face instruction) were found in experiments conducted on prospective students of engineering teachers. There were various forms of learning, and--significantly--the various types of learning styles had a significant influence on competence. Group…
Descriptors: Cognitive Style, Preservice Teachers, Electronic Learning, Synchronous Communication
Lin, Che-Chern; Liu, Zi-Cheng; Chang, Chih-Lin; Lin, Yu-Wen – IEEE Transactions on Education, 2019
Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background: Prior studies on computer programming education have…
Descriptors: Individualized Instruction, Remedial Instruction, Computer Science Education, Programming Languages
Jelatu, Silfanus; Kurniawan, Yohanes; Kurnila, Valeria Suryani; Mandur, Kanisius; Jundu, Ricardus – International Journal of Instruction, 2019
This research aimed to examine the effect of collaboration Think Pair Share (TPS) Leaning Model and m-Learning based on Android on the understanding of trigonometry concepts and to investigate the interaction between collaborative learning and cognitive style on the understanding of trigonometry concepts. This research involved 80 pre-service…
Descriptors: Cooperative Learning, Electronic Learning, Handheld Devices, Telecommunications