Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education

Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. The results present the current focus of AIEd research by identifying 13 roles of AI technologies in the key educational domains, 7 learning outcomes of AIEd, and 10 major challenges.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration.
• 2 The relationships between the technologies and learning outcomes for students and teachers have also been neglected.
• 3 This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches.

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: