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