SenseAI is a multi-year project being undertaken by the University of South Australia and the University of Queensland, assessing AI adoption and planning approaches in K-12, higher education, and corporate learning.

This database represents the first article from the initial work package from SenseAI: a meta systematic review of evidence syntheses from the past five years (2018-July 2023) exploring applications of AIEd in higher education. The review sought to answer the following research question and sub-questions:

What is the nature and scope of AIEd secondary research in higher education?

1. What kinds of evidence syntheses are being conducted?
2. In which conference proceedings and journals are AIEd evidence syntheses published?
3. What is the geographical distribution of authorship and authors’ affiliations?
4. How collaborative is AIEd evidence synthesis in higher education?
5. What technology is being used to conduct AIHEd evidence synthesis?
6. What is the quality of evidence synthesis exploring AIEd in higher education?
7. What main topics are explored in AIEd secondary research?
8. What are the key findings of AIEd research in higher education?
9. What are the benefits and challenges reported within General AIEd reviews?
10. What research gaps have been identified in AIEd secondary research in higher education?

The tertiary review located 66 reviews of varying kinds, solely focused on higher education, through a systematic search. This article has been accepted in the International Journal of Educational Technology in Higher Education, and a further article of the entire corpus of 307 evidence syntheses is also being written up.

All search strategy information and appendices are available on the Open Science Framework, and further information can be found on the project website.