Abstract:

Online learning has revolutionized the way we acquire new knowledge and skills. However, as the diversity of learners continues to grow, it has become essential to adapt teaching methods to meet their specific needs. This is where the concept of content adaptation sequencing in online learning becomes crucial. This innovative approach aims to personalize the learning experience for each individual by tailoring the content to their learning style and current level of knowledge. In this article, we will explore how content adaptation sequencing can significantly enhance the effectiveness and efficiency of online learning.

To evaluate the effectiveness of content adaptation sequencing, a study was conducted with 100 university students enrolled in an online Educational Technology course. The participants were randomly divided into two groups: the adaptation group, consisting of 50 students, and the non-adaptation group, also comprising 50 students.

The adaptation group received personalized educational content that was specifically designed to match their learning style and current knowledge level. This content utilized various media, such as videos, interactive quizzes, and practical exercises, to cater to each learner's preferences and needs.

In contrast, the non-adaptation group followed standardized content that did not take into account individual differences among learners. The content presented to this group was uniform for all students, without considering their specific learning styles or knowledge levels.

After the course concluded, the learning performances of both groups were evaluated through a quiz that assessed key concepts of Educational Technology, with a total score of 100 points. To analyze the results, a mean comparison test using the Student's t-test was conducted.

The concept of content adaptation sequencing in online learning shows great promise in addressing the individual needs of learners. By customizing the content based on each learner's style and level of knowledge, this approach offers a more relevant and engaging online learning experience. The statistical study's results demonstrated that content adaptation significantly improves learning performances compared to standardized content. This research opens up possibilities for significant advancements in designing more effective online learning systems, with a focus on personalization and inclusivity for all learners.

Keywords:

Online learning, Content adaptation sequencing, Individualized learning.