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An Analytic Hierarchy Process for Student Motivation

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Agents and Multi-agent Systems: Technologies and Applications 2023 (KES-AMSTA 2023)

Abstract

This paper presents an application of the Analytic Hierarchy Process (AHP) to evaluate student motivation in a university setting. The aim is to identify and prioritize factors affecting student motivation, including academic, personal, and environmental factors. The results of the AHP analysis provide insight into the relative importance of these factors and can be used to inform decisions about designing educational programs and interventions to enhance student motivation. The study demonstrates the usefulness of the AHP as a tool for addressing complex decision-making problems in education and offers a framework for future research on student motivation.

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Notes

  1. 1.

    https://bpmsg.com/ahp/ahp-calc.php.

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Correspondence to Robiul Islam .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Islam, R., Johard, L., Bahrami, M.R., Zaman, M. (2023). An Analytic Hierarchy Process for Student Motivation. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R.J., Jain, L.C. (eds) Agents and Multi-agent Systems: Technologies and Applications 2023. KES-AMSTA 2023. Smart Innovation, Systems and Technologies, vol 354. Springer, Singapore. https://doi.org/10.1007/978-981-99-3068-5_25

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