Abstract
Emotion-aware educational system may feature the online education system in the near future. However, the current studies discussed more the technical implementation and how important to consider emotion in education. Receiving an input from lecturers and students may enrich the knowledge of the developers of emotion aware systems. This paper surveyed lecturers and students from one Malaysian University, and the findings showed students and lecturers have high interest in consideration of emotions in education process. However they raised many challenges such as to what extent lecturers should consider emotions when engaged with students? Do students provide enough input particularly in blended learning system where students prefer meeting lecturers face-to-face? It has been noticed that lecturers were motivating students to engage online and students show lack of self-motivation to engage independently. Eventually, lecturers were concerned about what types of emotion extraction/recognition tools should be considered? For instance, facial recognition and sound tone analysis require student to have visual/audio interaction with the system, as well as they are expensive and complicated to be implemented. Lectures proposed that statistical procedures and artificial intelligence techniques should be used to understand better the emotional patterns. Lecturers consider that utilizing the emotion analysis for mouse movement and keystroke while student are doing quizzes, assignments, tests, and exams will provide more findings than analyzing only textual communication with lecturers.
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06 August 2019
The original version of this chapter was published without a reference to an earlier chapter. This has now been rectified and the reference has been added.
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Nassr, R.M., Saleh, A.H., Dao, H., Saadat, M.N. (2019). Emotion-Aware Educational System: The Lecturers and Students Perspectives in Malaysia. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_49
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