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Interactive Multimedia Kolb Experiential Learning Model Using Logistic Regression Algorithm to Improve Student Cognitive

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Advances in Visual Informatics (IVIC 2021)

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Abstract

The differences of each student become a challenge for educators in delivering learning materials. More often than not, students often find it difficult to process study materials. Conventional study-based learning may not always have a profound impact on students. Consideration of interactive multimedia as a tool for student-centered learning has not been widely discussed in scientific research. In this paper, the authors investigate interactive multimedia using Kolb’s experiential learning model in improving students’ cognitive abilities. This study uses a pre-experimental method and one-group pre-and post-test design type with the research population in class XI RPL and a sample of SMK students in Bandung. The results show that the application of interactive multimedia using Kolb’s experiential learning model is effective in improving students’ cognitive abilities. On the other hand, it is found that combining abstract learning materials with interactive visuals and activities that involve students’ participation could create exceptionally positive feedback from students.

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Acknowledgment

We would like to appreciate and thank PMDSU Scholarship under Direktorat Jenderal Pendidikan Tinggi, Kementerian Pendidikan dan Kebudayaan Republik Indonesia for support throughout this research, and vocational high school students for lending their precious time aiding in the success of research.

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Correspondence to Azizah Nurul Khoirunnisa .

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Khoirunnisa, A.N., Munir, Rasim, Rahman, E.F., Dewi, L. (2021). Interactive Multimedia Kolb Experiential Learning Model Using Logistic Regression Algorithm to Improve Student Cognitive. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_17

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  • DOI: https://doi.org/10.1007/978-3-030-90235-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90234-6

  • Online ISBN: 978-3-030-90235-3

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