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Cited by 125Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education

The threat, hype, and promise of artificial intelligence in education

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Humble, Niklas, Mozelius, Peter·2022·Discover Artificial Intelligence
DOI 10.1007/s44163-022-00039-z
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Abstract

The idea of building intelligent machines has been around for centuries, with a new wave of promising artificial intelligence (AI) in the twenty-first century. Artificial Intelligence in Education (AIED) is a younger phenomenon that has created hype and promises, but also been seen as a threat by critical voices. There have been rich discussions on over-optimism and hype in contemporary AI research. Less has been written about the hyped expectations on AIED and its potential to transform current education. There is huge potential for efficiency and cost reduction, but there is also aspects of quality education and the teacher role. The aim of the study is to identify potential aspects of threat, hype and promise in artificial intelligence for education. A scoping literature review was conducted to gather relevant state-of-the art research in the field of AIED. Main keywords used in the literature search were: artificial intelligence, artificial intelligence in education, AI, AIED, teacher perspective, education, and teacher. Data were analysed with the SWOT-framework as theoretical lens for a thematic analysis. The study identifies a wide variety of strengths, weaknesses, opportunities, and threats for artificial intelligence in education. Findings suggest that there are several important questions to discuss and address in future research, such as: What should the role of the teacher be in education with AI? How does AI align with pedagogical goals and beliefs? And how to handle the potential leak and misuse of user data when AIED systems are developed by for-profit organisations?

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  • AI holds promise for higher education institutions worldwide, from improving the teaching and learning experience to facilitating administrative tasks.

    “Despite this apocalyptic warning, it is also important to realise that AI holds promise for higher education institutions worldwide, from improving the teaching and learning experience to facilitating administrative tasks (Humble & Mozelius, 2022).”

    From Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania (2024) · cites this paper as Humble & Mozelius, 2022

    The Opportunities section describes AI supporting teachers and students, improving learning, and assisting with time-consuming tasks such as constructing grade responses. The Threats section also says AI may replace administrators. The paper does not specifically establish benefits for higher education institutions worldwide or describe facilitating their administrative tasks as a benefit. (LLM, conf=0.82)

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Cited by

Sorted by citations

Authors
Humble, N., & Mozelius, P.
Affiliations
Mid Sweden University (SE)
Corresponding author
Humble, Niklas
ORCID
Venue
Discover Artificial Intelligence
Publisher
Springer Science and Business Media LLC
Published
2022-11-10
Volume
2
Issue
1
ISSN
2731-0809 (ISSN-L)
DOI
10.1007/s44163-022-00039-z
OpenAlex
W4309082440
Cited by
125
References
12
Citations by year
2026: 26 · 2025: 40 · 2024: 42 · 2023: 16 · 2022: 1
FWCI
24.50
Type
journal article
Language
en
Open access
Licence
Locations
  • Discover Artificial Intelligence (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Mid Sweden University
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
artificial intelligence in education, hype, overoptimism, teacher role, pedagogical goals, data privacy, educational technology, SWOT analysis

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