Abstract
The e-learning method has been in use for more than a decade now. The e-learning method was intensely used during covid-19 pandemic giving an option for learning experiences remotely in various locations. Currently, e-learning optionally facilitates for students from various locations to study even in remote areas. Sustaining the e-learning facilities with improvements becomes essential since the world is moving towards IR4.0 where learning can happen from any part of the world using a diversified technology. This analysis is looking at theoretical concepts to analyze the viability to use emotions to study the requirements analysis for Adaptive Interface Design. This analysis is conducted to identify the emotion and to find appropriateness of using emotions AI tool to study the emotions. It is targeted for Malaysian students’ environment. It will be based on current widely used LMS used to identify the methods of analyzing the emotions among Malaysian students of entrepreneurship subject. It is concluded that emotions are an essential feature of User Interface study for further study of influences. Emotions AI can be used with mixed mode method for accuracy. The research will pave the way for Adaptive user interface in e-learning systems. The purpose of Adaptive user interface is to enhance essentially subject-wise and program-wise creativity skills in meeting essential skills of Education 5.0.
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Seenivasagam, V., Bakar, Z.A., Zamin, N., Yahya, Y. (2024). Theoretical Analysis of Research Methodology to Study Emotions Using Emotion AI Among Malaysian E-Learning Tertiary Students for Prototype of Adaptive Interface. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2023. Lecture Notes in Computer Science, vol 14322. Springer, Singapore. https://doi.org/10.1007/978-981-99-7339-2_9
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