A Meta Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigour

Fuente: ERIC Institute of Education Sciences

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Bibliographic Details
Main Authors:	Melissa Bond, Hassan Khosravi, Maarten De Laat, Nina Bergdahl, Violeta Negrea, Emily Oxley, Phuong Pham, Sin Wang Chong, George Siemens
Format:	Recurso educativo Open Access
Language:	en
Published:	2024
Subjects:	Meta Analysis Artificial Intelligence Databases Higher Education Ethics Research Reports Profiles Prediction Technology Uses in Education Academic Standards Educational Cooperation
Online Access:	Acceder al recurso
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author	Melissa Bond Hassan Khosravi Maarten De Laat Nina Bergdahl Violeta Negrea Emily Oxley Phuong Pham Sin Wang Chong George Siemens
author_facet	Melissa Bond Hassan Khosravi Maarten De Laat Nina Bergdahl Violeta Negrea Emily Oxley Phuong Pham Sin Wang Chong George Siemens Melissa Bond Hassan Khosravi Maarten De Laat Nina Bergdahl Violeta Negrea Emily Oxley Phuong Pham Sin Wang Chong George Siemens
collection	Education Resources Information Center
contents	A Meta Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigour Melissa Bond Hassan Khosravi Maarten De Laat Nina Bergdahl Violeta Negrea Emily Oxley Phuong Pham Sin Wang Chong George Siemens Meta Analysis Artificial Intelligence Databases Higher Education Ethics Research Reports Profiles Prediction Technology Uses in Education Academic Standards Educational Cooperation Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a solid research and conceptual grounding. This review of reviews is the first comprehensive meta review to explore the scope and nature of AIEd in higher education (AIHEd) research, by synthesising secondary research (e.g., systematic reviews), indexed in the Web of Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect and ACM Digital Library, or captured through snowballing in OpenAlex, ResearchGate and Google Scholar. Reviews were included if they synthesised applications of AI solely in formal higher or continuing education, were published in English between 2018 and July 2023, were journal articles or full conference papers, and if they had a method section. 66 publications were included for data extraction and synthesis in EPPI Reviewer, which were predominantly systematic reviews (66.7%), published by authors from North America (27.3%), conducted in teams (89.4%) in mostly domestic-only collaborations (71.2%). Findings show that these reviews mostly focused on AIHEd generally (47.0%) or Profiling and Prediction (28.8%) as thematic foci, however key findings indicated a predominance of the use of Adaptive Systems and Personalisation in higher education. Research gaps identified suggest a need for greater ethical, methodological, and contextual considerations within future research, alongside interdisciplinary approaches to AIHEd application. Suggestions are provided to guide future primary and secondary research.
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institution	ERIC Institute of Education Sciences
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spellingShingle	A Meta Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigour Melissa Bond Hassan Khosravi Maarten De Laat Nina Bergdahl Violeta Negrea Emily Oxley Phuong Pham Sin Wang Chong George Siemens Meta Analysis Artificial Intelligence Databases Higher Education Ethics Research Reports Profiles Prediction Technology Uses in Education Academic Standards Educational Cooperation A Meta Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigour Melissa Bond Hassan Khosravi Maarten De Laat Nina Bergdahl Violeta Negrea Emily Oxley Phuong Pham Sin Wang Chong George Siemens Meta Analysis Artificial Intelligence Databases Higher Education Ethics Research Reports Profiles Prediction Technology Uses in Education Academic Standards Educational Cooperation Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a solid research and conceptual grounding. This review of reviews is the first comprehensive meta review to explore the scope and nature of AIEd in higher education (AIHEd) research, by synthesising secondary research (e.g., systematic reviews), indexed in the Web of Science, Scopus, ERIC, EBSCOHost, IEEE Xplore, ScienceDirect and ACM Digital Library, or captured through snowballing in OpenAlex, ResearchGate and Google Scholar. Reviews were included if they synthesised applications of AI solely in formal higher or continuing education, were published in English between 2018 and July 2023, were journal articles or full conference papers, and if they had a method section. 66 publications were included for data extraction and synthesis in EPPI Reviewer, which were predominantly systematic reviews (66.7%), published by authors from North America (27.3%), conducted in teams (89.4%) in mostly domestic-only collaborations (71.2%). Findings show that these reviews mostly focused on AIHEd generally (47.0%) or Profiling and Prediction (28.8%) as thematic foci, however key findings indicated a predominance of the use of Adaptive Systems and Personalisation in higher education. Research gaps identified suggest a need for greater ethical, methodological, and contextual considerations within future research, alongside interdisciplinary approaches to AIHEd application. Suggestions are provided to guide future primary and secondary research.
title	A Meta Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigour
topic	Meta Analysis Artificial Intelligence Databases Higher Education Ethics Research Reports Profiles Prediction Technology Uses in Education Academic Standards Educational Cooperation
url	https://eric.ed.gov/?id=EJ1407965

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