ASSESSING THE EFFECTIVENESS OF VARIOUS E-LEARNING METHODS BASED ON ENGAGEMENT AND ACHIEVEMENT
In this study, the authors will present a variety of e-learning methods and analyze the effect of such training on certain critical parameters as student engagement and performance. The study encompasses research methodology in areas like video tutorials, text material, interactive assignments, gamification, a blended approach, and online lectures with tests. Student engagement, measured by time on platform, forum activity, assignment completion rate, and student performance indicators such as the final grades and course progress, is covered for each method. The results from this study have indicated that it was the more interactive and gamified programmes that had the highest success in further boosting student engagement, which subsequently had an uplifting effect on student achievement. Over 20% average final grade and assignment percent completion rates were recorded with gamification as compared to traditional methods such as mere text material. Students using interactive assignments showed significantly better results compared to those who took a course based on linear methods of information delivery. The article also speaks about AI-based personalized learning, which implies customizing learning contents as per individual requirements and capabilities of the students. Personalization of learning processes through AI-enabled personal recommendations can be very useful in consideration of providing the most appropriate task levels and complexity for improving engagement and learning performance. The gained findings signify the importance of introduction, in the context of digital transformation, of new e-learning methods incorporating interactivity and then the use of AI, aimed at bringing quality improvements in the educational process.
Authors
- Madiyar Segizbay
- Zhadra Kozhamkulova
Publication Details
- Journal
- Вестник Алматинского университета энергетики и связи
- Published
- 2024-12-30
- DOI
- https://doi.org/10.51775/2790-0886_2024_67_4_185
- Primary Topic
- Online and Blended Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00