United KingdomA study led by researchers at The Education University of Hong Kong explores the role of artificial intelligence (AI) in enhancing educational practices. The research highlights that AI's effectiveness in classrooms depends on integrating it with evidence-based, student-centered assessment methods rather than relying solely on computational power. Analyzing data from over 150,000 students across 19 countries and regions, the study emphasizes the importance of setting clear learning goals, systematic monitoring, and adaptive teaching based on assessment results. Two AI-driven platforms—EASE and FAITH—are being developed to support this approach, with EASE focusing on personalized learning through adaptive algorithms and FAITH promoting active student engagement and teacher collaboration. Both platforms have seen significant adoption among educators.
Bias read (Center): While the article discusses AI implementation in education, which can have political implications due to its connection with government policy and curriculum development, the framing remains balanced. It presents findings from academic research without overtly endorsing or criticizing specific pedag
