The landscape of education is fast-changing, fueled by technological developments that are promising to tear down traditional methodologies of learning. Among these promising to be transformational forces with huge potential in improving higher learning experiences is Artificial Intelligence (AI). This research paper discusses the innovative applications of artificial intelligence within the higher education field, synthesized for its multifaceted impact on the teaching-learning process and administration. This means that at the heart of the effects of AI in higher education is the power to facilitate tailor-made education conducted in line with individual needs and requirements. These AI-based platforms use cutting-edge algorithms and data analytics. They analyze performance data of students and clearly indicate areas where they could have strengths, weaknesses, or improvement. Educators can then be able to derive insights from this that would help in making the tailoring of content and strategies for instruction with maximal learning outcomes and have students engaged in mastering the material from a higher level. Such AI-driven adaptive learning systems offer students dynamic and interactive study experiences where content delivery is adapted in real-time based on student progression and levels of understanding. The adaptive approach caters to the variance in paces of learning while it enables students to be in control of their learning journey through self-directed attitudes towards learning and critical thinking.
No takes yet. Share an insight, caveat, or question.
Nugraheni et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: