Machine learning-based adaptive learning systems in higher education: A systematic review of techniques, outcomes, and ethical implications for knowledge translation
This systematic review synthesizes 19 peer-reviewed articles published from 2015-2025 to map and classify ML and AI techniques used in higher education adaptive learning systems, assess evidence of impact on student academic performance, engagement and retention, and explore ethical issues such as algorithmic bias, dat...