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Influence of Artificial Intelligence in Higher Education; Impact, Risk and Counter Measure

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AI, Blockchain and Self-Sovereign Identity in Higher Education

Abstract

Artificial Intelligence (AI) is an emerging field that seeks to replicate or emulate human-like cognitive abilities using artificial means. As the world changes, the development and application of AI tools and technologies in areas such as agriculture, medicine, healthcare, and education are growing at an unprecedented pace. This chapter presents a review study on the impact, risks, and countermeasures of artificial intelligence in higher education (AIHE). The chapter begins by discussing the journey of AI in education from its beginning to the present day. It then examines the existing AI tools and technologies in education and explores their potential applications. The chapter goes on to analyze the influences of these tools in education and the challenges and risks they face in higher education. Additionally, it highlights the limitations of AI tools and proposes ways to overcome these gaps. The purpose of this study is to provide updated information to students, teachers, professors, national policymakers, and researchers, as well as to explore the scope of research on AI in higher education. By offering a comprehensive analysis of the impact of AI on higher education (HE), this chapter aims to inform and inspire the academic community to embrace AI as a transformative technology in education.

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Funding

There has no funding in carrying out our study.

Author information

Authors and Affiliations

  1. Brunel University, London, UK

    Musarrat Saberin Nipun & Usman Javed Butt

  2. Nuclear Safety, Security and Safeguard Division, Bangladesh Atomic Energy Regulatory Authority, Dhaka, Bangladesh

    Md.Simul Hasan Talukder

  3. University of Bedfordshire, Bedfordshire, UK

    Rejwan Bin Sulaiman

Authors
  1. Musarrat Saberin Nipun
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  2. Md.Simul Hasan Talukder
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  3. Usman Javed Butt
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  4. Rejwan Bin Sulaiman
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Contributions

Musarrat Saberin Nipun contributed prominently in capacity analysis of each AI tool, surveying students, teachers, professors and researcher’s response and proposing an integrated framework. She also presented the impact of using AI tools in HE and discussed the challenges this research has faced and explained the limitation of this research work. Md. Simul Hasan Talukder performed the literature review extensively and proposed the methodology of how the research could be carried out. He planned the main scheme of the chapter framework. He also participated in writing the abstract, conclusion and formatting of the chapter. Usman Butt reviewed the full chapter and helped in surveying the response of the user also added valuable insights into the results. Finally, Rejwan Bin Sulaiman shared his valuable ideas in title selection, manuscript writing and lead the whole project.

Corresponding author

Correspondence to Musarrat Saberin Nipun .

Editor information

Editors and Affiliations

  1. Northumbria University London, London, UK

    Hamid Jahankhani

  2. Northumbria University London, London, UK

    Arshad Jamal

  3. Northumbria University London, London, UK

    Guy Brown

  4. Northumbria University, London, UK

    Eustathios Sainidis

  5. Northumbria Universityi London, London, UK

    Rose Fong

  6. Northumbria University London, London, UK

    Usman J. Butt

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Nipun, M.S., Talukder, M.H., Butt, U.J., Sulaiman, R.B. (2023). Influence of Artificial Intelligence in Higher Education; Impact, Risk and Counter Measure. In: Jahankhani, H., Jamal, A., Brown, G., Sainidis, E., Fong, R., Butt, U.J. (eds) AI, Blockchain and Self-Sovereign Identity in Higher Education. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-33627-0_7

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