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Evaluating the Effectiveness of E-Learning Website Using Electroencephalogram

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Advances in Visual Informatics (IVIC 2023)

Abstract

Although e-learning technology provides numerous benefits for educators, enticing students to use e-learning services is a challenge, particularly for the e-learning websites of higher education institutions in Malaysia. E-learning websites of Malaysian higher education institutions have few guidelines for user interface design that foster emotional engagement. Due to this problem, there is a significant percentage of student disengagement on e-learning platforms. A visualization pattern as a guideline has been proposed for designing an e-learning GUI website for HEIs in Malaysia. The proposed guideline has been implemented on the prototype website’s graphical user interface (GUI). The effectiveness of the GUI was evaluated using an electroencephalogram (EEG) device and resulted in 65% of the participants being in the ‘Most Effective’ category, with the highest average of most effectiveness standing at 32.6%. The research has demonstrated that the developed guideline increased student engagement with the GUI of the e-learning website prototype. The guideline is intended to assist higher education institutions (HEIs) and website developers and designers in creating e-learning websites that can sustain students’ interest in e-learning over time.

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Correspondence to Aslina Baharum .

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Aning, A. et al. (2024). Evaluating the Effectiveness of E-Learning Website Using Electroencephalogram. 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_14

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  • DOI: https://doi.org/10.1007/978-981-99-7339-2_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7338-5

  • Online ISBN: 978-981-99-7339-2

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