Modeling of Learners’ Self-assessment Performance Using Neural Networks Regarding Blended Learning (Brain Based Approach)

Posted on Posted in Publications

Hassan M. H. Mustafa
Computer Engineering Department
Faculty of Engineering, Al-Baha University, Al-Baha, KSA

Abstract: Recently, the integration of Information and Communication Technology ICT in the field of education has led to emerging of the term e-learning at educational field practice. Subsequently, the applications of this technology into interactive teaching/learning process have resulted in identification of some pitfalls. Through the study to overcome such pitfalls Blended Learning has been revealed to be as an optimal trend for future educational field practice. This paper introduces an interdisciplinary study adopting Artificial Neural network (ANN) modeling as a relevant fairly realistic tool which originated from brain based learning approach while evaluating Blended Learning Performance. More specifically, comparative findings of learner's self-assessment scores have been investigated regarding the postulates that associated learners' different brain dominance with individual differences and learning styles. The introduced comparison characterized by measurement of different behavioral self-assessment performance during interactive subjection of learners to blended learning educational environment. In more details, this work considered (during measurement of learners' Self-assessment scores) Self Organized Learning Environment (SOLE) which results in statistical analysis of two diverse educational groups at vocational high school students. Namely, experimental and control groups representing blended e-learning and traditional learning respectively. Interestingly, presented comparison considered the analogy of Self-assessment learners' scores blended learning performance versus some design parameters of ANN. Finally, this study illustrates that blended learning most properly be an efficient approach of distance learning in terms of students' learning experience student / student interaction as well as student / instructor interaction and is likely to emerge as the predominant education model in the future. Conclusively, obtained simulation results shown to be in agreement with some recently obtained findings at educational field practice specifically at vocational high school.

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