AUDITORY LEARNING STYLE THESIS HOW TO

Adaptive e-learning changes the level of instruction dynamically based on student learning styles and personalizes instruction to enhance or accelerate a student's success. The customized environment should be adaptable based on the needs and learning styles of each student in the same course. By offering customized content, adaptive e-learning environments improve the quality of online learning. Adaptive e-learning is a learning process in which the content is taught or adapted based on the responses of the students' learning styles or preferences. The adaptive e-learning environment (ALE) is an emerging research field that deals with the development approach to fulfill students' learning styles by adapting the learning environment within the learning management system 'LMS' to change the concept of delivering e-content. Recently, adaptive e-learning has become an approach that is widely implemented by higher education institutions.

E-learning produces constructive learning outcomes, as it allows students to actively participate in learning at anytime and anyplace (Chen et al., 2010 Lee et al., 2019). Once learning experiences are customized, e-learning content becomes richer and more diverse (El-Sabagh & Hamed, 2020 Yang et al., 2013). In recent years, educational technology has advanced at a rapid rate. The proposed adaptive e-learning approach and the results can help e-learning institutes in designing and developing more customized and adaptive e-learning environments to reinforce student engagement.

AUDITORY LEARNING STYLE THESIS HOW TO

Several practical recommendations forward from this paper: how to design a base for adaptive e-learning based on the learning styles and their implementation how to increase the impact of adaptive e-learning in education how to raise cost efficiency of education. These experimental results imply the potential of an adaptive e-learning environment to engage students towards learning. The results revealed that the experimental group is statistically significantly higher than those in the control group. The student engagement scale is used to measure the following affective and behavioral factors of engagement (skills, participation/interaction, performance, emotional). The paper is based on mixed research methods that were used to study the impact as follows: Development method is used in designing the adaptive e-learning environment, a quasi-experimental research design for conducting the research experiment.

This research attempts as well to outline and compare the proposed adaptive e-learning environment with a conventional e-learning approach. The purpose of this paper is to design an adaptive e-learning environment based on students' learning styles and study the impact of the adaptive e-learning environment on students’ engagement. Adaptive e-learning is viewed as stimulation to support learning and improve student engagement, so designing appropriate adaptive e-learning environments contributes to personalizing instruction to reinforce learning outcomes.

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