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Development and evaluation of a modular experiential learning curriculum for promoting AI readiness

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Abstract

Information systems are increasingly using artificial intelligence (AI). However, AI can be tricked into misbehaving, showing bias, or committing abuse. The root causes of these errors and uncertainties can be hidden away while parallelizing AI algorithms on high-performance computing (HPC) infrastructure. The project outlined in this paper aims to use artificial intelligence from the ground up to generate teaching materials and curricula for student-teachers. Students embark on a journey of discovery, taking calculated risks in a learning environment. The main purpose of this document is to present the primary research results of the two-year pilot project. A secondary purpose of this paper is to disseminate information about this exciting endeavor to encourage like-minded educators and researchers to participate in this project.

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Acknowledgements

This work was supported by the U.S. National Science Foundation under grant no. 2017289.

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Authors and Affiliations

  1. Department of Computer Science, Western Michigan University, Kalamazoo, MI, USA

    Irene Kahvazadeh, Edwin Jose, Alvis C. Fong, Ajay K. Gupta, Steve M. Carr & Shameek Bhattacharjee

  2. Evaluation Center, Western Michigan University, Kalamazoo, MI, USA

    Michael Harnar

Authors
  1. Irene Kahvazadeh
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  2. Edwin Jose
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  3. Alvis C. Fong
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  4. Ajay K. Gupta
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  5. Steve M. Carr
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  6. Shameek Bhattacharjee
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  7. Michael Harnar
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Correspondence to Irene Kahvazadeh.

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Kahvazadeh, I., Jose, E., Fong, A.C. et al. Development and evaluation of a modular experiential learning curriculum for promoting AI readiness. Educ Inf Technol 29, 3445–3459 (2024). https://doi.org/10.1007/s10639-023-11928-w

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