Much of the information on this page was adapted from the University of Maryland Global Campus Library's guide to Annotated Bibliographies in APA Format at https://libguides.umgc.edu/annotated-bibliography-apa
Zawacki-Richter, O., Marin, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in
higher education—Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), n.p. https://doi.org/10.1186/s41239-019-0171-0
This systematic review includes a review and main idea synthesis of 146 articles on artificial intelligence applications (AI) in higher education published between 2007 and 2018. These articles focused on the integration of AI into two main areas: academic support and institutional/administrative support services. Within the two overarching areas, Zawacki-Richter et al. (2019) classified the AI applications into four functional categories: 1) profiling and prediction; 2) assessment and evaluation; 3) adaptive systems and personalization; and 4) intelligent tutoring systems. The article is additionally useful in its inclusion of important timeline markers in the development of AI and definitions of key ideas. Findings of interest include AI’s use to assist enrollment and retention efforts, mixed results related to intelligent tutoring systems and student learning, consideration of AI as a tool for career services, and perceived lack of concern related to ethical issues in AI use. Because it is a systematic review, this article's references list will be especially useful for finding articles, such as those addressing ethical issues, a topic which will be the center focus of my research.
Example authored by Kimberly S. Grotewold, Education Librarian
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