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Learners’ Perception on Integration of Human Personality Types on Mobile Learning Platform

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Design, Operation and Evaluation of Mobile Communications (HCII 2021)

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  • The original version of this chapter was revised: the affiliation of the author Kasthuri Subaramaniam was not complete. This has been corrected. The correction to this chapter is available at https://doi.org/10.1007/978-3-030-77025-9_28

Abstract

E-learning has always been a part of higher education learning for several years now. Universities and colleges have all adopted the use of e-learning and mobile learning to perform their teaching and learning to their students. However, even with the convenience that e-learning and mobile learning provides, students nowadays face difficulties in learning productively and efficiently. This issue can further be analysed and investigated by improving the presentation of information of e-learning to students. User interface designs play a vital and important role for the receptivity of information to students. The relationship between user interface designs and different human personality types also have a strong association with each other. This study looks into the different personality types of students and their personality preferences. A survey questionnaire was distributed among students of higher learning to investigate and to see the different user interface designs of their liking. This is to better understand the learners’ perception of users on integration of human personality types of the application. The results of the survey were analysed in detail.

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Change history

  • 03 July 2021

    In the original version the affiliation of the author Kasthuri Subaramaniam was not complete. This has been corrected.

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Correspondence to Kasthuri Subaramaniam .

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Subaramaniam, K., Palaniappan, S. (2021). Learners’ Perception on Integration of Human Personality Types on Mobile Learning Platform. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications. HCII 2021. Lecture Notes in Computer Science(), vol 12796. Springer, Cham. https://doi.org/10.1007/978-3-030-77025-9_27

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  • DOI: https://doi.org/10.1007/978-3-030-77025-9_27

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