Skip to main content

Table 6 Number of AI applications across studies (n = 146), multiple mentions possible

From: Systematic review of research on artificial intelligence applications in higher education – where are the educators?

AI applications n
Profiling and prediction (admissions decisions and course scheduling; drop-out and retention; student models and academic achievement) 58
Intelligent tutoring systems (teaching course content; diagnosing strengths and automated feedback; curating learning materials; facilitating collaboration; the teacher’s perspective) 29
Assessment and evaluation (automated grading; feedback; evaluation of student understanding, engagement and academic integrity; evaluation of teaching) 36
Adaptive systems and personalisation (teaching course content; recommending personalized content; supporting teachers and learning design; using academic data to monitor and guide students; representation of knowledge in concept maps) 27
Total 150