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Dec 22, 2024
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May 1, 2026
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May 23, 2026
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Abstract

In recent years, many new technologies have been used to enhance the learning outcomes of learners in online learning. Video annotation is one of these new technologies which is an innovative way to make learning more interactive and engaging. It can accommodate different learning styles by turning passive video-watching into an active learning experience. This research aims to evaluate the effectiveness of an e-Learning platform incorporating a Video Annotated Technique. Learners can pinpoint challenging parts of educational videos and then receive personalised explanations from their teachers. The primary purpose of these annotations is to clarify and provide thorough explanations of complex topics, ultimately improving understanding and making preparation for final examination tests easier. This paper presents a new personalization approach by managing the learners’ annotations. Furthermore, it offers a video annotation tool incorporated into an e-Learning environment. This tool was tested on a sample of students, and the experimental results demonstrated a significant positive impact on learners’ performance.

Keywords

Online Learning Environments Video-based Learning Video Annotation Assisting Learners Learning Personalisation

Article Details

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Author Biographies

Riad Bourbia, Computer Science Department. Mohamed-Chérif Messaadia University, Souk Ahras Univer- sity, Souk Abras, 41000, Algeria. LabStic laboratory, 8 May 1945 University of Guelma, BP 401, Guelma, 24000, Algeria.

Riad Bourbia is a Ph.D. student at the University of Mohamed Chérif Messaadia, SoukAhras, and also serves as an assistant professor at the computer science department of the University of 8 Mai 1945  Guelma (Algeria). His current research is primarily focused on the development of intelligent systems designed to assist learners in online learning environments.

Samia Drici, LiM Laboratory, Faculty of Science and Technology, University of Mohamed Cherif Messaadia, Souk Ahras, P.O. Box 1553, 41000 Souk Ahras, Algeria

Pr. Samia Drissi is a Professor at the Department of Computer Science at Souk-Ahras University in Algeria since 2009 and is affiliated with LIM Laboratory. She received her PhD in computer science from the University of Annaba (Algeria) in 2015. She is an editorial board member of many international journals and conferences. Her research includes e-learning, adaptive hypermedia systems, semantic web, and artificial intelligence.

Sevinc Gulsecen, Computer Science Department, Istanbul University, 16 Mart Sehitleri Cad. No 22/24 Vezneciler 34134 Istanbul, Turkey

Pr. Sevinc Gulsecen is a Professor and Head of the Department of Informatics at Istanbul University, specializing in Management Information Systems. Her research and teaching focus on system analysis and design, e-learning, computer-mediated communications, and knowledge management. She has published extensively in both national and international journals, and she has chaired the Future-learning Conference since 2004. Pr. Gulsecen is actively involved in several academic boards and professional societies and has participated in numerous international meetings and conferences across various countries.

How to Cite
Bourbia, R., Drici, S., Lafifi, Y., & Gulsecen, S. (2026). How can educational videos with annotations help students in online learning environments?. Journal of E-Learning and Knowledge Society, 22(1). https://doi.org/10.20368/1971-8829/1136133

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