The impact of artificial intelligence on teaching methods, assessment, key skills, and the key factors that determine their prioritization in higher education processes: A scoping review.

Abstract

AI impacts higher education by personalizing learning and transforming teaching and assessment, although it faces obstacles such as the lack of ethical frameworks. An exploratory review was conducted in Web of Science and Scopus, with 170 studies analyzed using a questionnaire validated with FINER criteria. The results indicate that artificial intelligence enhances three key approaches: AI applications, project-based learning, and collaborative learning. In assessment, AI complements traditional tools, enriching feedback without replacing them. The most valued competencies are critical thinking, digital literacy, and ethics. Trained teachers and hybrid assessment models are required. The ethical challenge is central to building a more aware society.