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Cited by 364Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education

The DOI matches its Crossref record; 107 of the 111 references it cites were found in a registry or an index.

Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education

Open access
Lameras, Petros, Arnab, Sylvester·2021·Information
DOI 10.3390/info13010014
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Abstract

This exploratory review attempted to gather evidence from the literature by shedding light on the emerging phenomenon of conceptualising the impact of artificial intelligence in education. The review utilised the PRISMA framework to review the analysis and synthesis process encompassing the search, screening, coding, and data analysis strategy of 141 items included in the corpus. Key findings extracted from the review incorporate a taxonomy of artificial intelligence applications with associated teaching and learning practice and a framework for helping teachers to develop and self-reflect on the skills and capabilities envisioned for employing artificial intelligence in education. Implications for ethical use and a set of propositions for enacting teaching and learning using artificial intelligence are demarcated. The findings of this review contribute to developing a better understanding of how artificial intelligence may enhance teachers’ roles as catalysts in designing, visualising, and orchestrating AI-enabled teaching and learning, and this will, in turn, help to proliferate AI-systems that render computational representations based on meaningful data-driven inferences of the pedagogy, domain, and learner models.

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Research works printed but not linked: 11

  1. Seldon, A., and Abidoye, O. (2018). The Fourth Education Revolution: Will Artificial Intelligence Liberate or Infantilise Humanity, The University of Buckingham Press.
  2. Puentedura, R. (2013, January 29). SAMR: Moving from Enhancement to Transformation. Proceedings of the 2013 AIS ICT Management and Leadership Conference, Canberra, Australia.
  3. Cameron, R.M. (2019). A.I.—101: A Primer on Using Artifical Intelligence in Education, Exceedly Press.
  4. Piaget, J. (1970). Science of Education and the Psychology of the Child, Orion Press.
  5. Vygotsky, L.S., and Cole, M. (1978). Mind in Society: The Development of Higher Psychological Processes, Harvard University Press.
  6. Ellis, R.A., and Goodyear, P. (2010). Students’ Experiences of e-Learning in Higher Education: The Ecology of Sustainable Innovation, Routledge.
  7. Beetham, H., and Sharpe, R. (2007). Designing for Practice: Practicing Design in the Social Sciences. Rethinking Pedagogy for a Digital Age, Routledge. · DOI
  8. Chatterjee Singh, N., and Duraiappah, A.K. (2020). Rethinking Learning: A Review of Social and Emotional Learning Frameworks for Education Systems, UNESCO MGIEP.
  9. Mavrikis, M., Maciocia, A., and Lee, J. Towards Predictive Modelling of Student Affect from Web-Based Interactions. Proceedings of the 2007 Conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work.
  10. Bosch, N., D’Mello, S.K., Baker, R.S., Ocumpaugh, J., Shute, V., Ventura, M., Wang, L., and Zhao, W. (2016, January 9–15). Detecting Student Emotions in Computer-Enabled Classrooms. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI’16, New York, NY, USA.
  11. Aiken, 2000, Ethical Guidelines for AI in Education: Starting a Conversation, Int. J. Artif. Intell. Educ., 11, 163

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Metadata

Authors
Lameras, P., & Arnab, S.
Affiliations
Coventry University (GB)
Corresponding author
Lameras, Petros
ORCID
Venue
Information
Publisher
MDPI AG
Published
2021-12-29
Volume
13
Issue
1
Pages
14
ISSN
2078-2489 (ISSN-L)
DOI
10.3390/info13010014
OpenAlex
W4200613005
Cited by
291
References
105
Citations by year
2026: 55 · 2025: 95 · 2024: 87 · 2023: 37 · 2022: 17
FWCI
31.87
Type
journal article
Language
en
Open access
Licence
Locations
  • Information (publishedVersion, cc-by)
  • Pure (Coventry University) (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
British Academy (SRG1920 / 100529)
Topics
  • Social Sciences › Education › 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, teacher role, teacher reflection, ethical use of AI, student model

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