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With AI changing everything, here's how teachers can shape the new culture of learning

2025-03-18
Teachers are adapting to the increasing presence of artificial intelligence in education, with some finding it challenging as students use AI to bypass traditional learning tasks. Steve Graham of Arizona State University notes that effective use of AI requires more knowledge, not less, and can enhance critical thinking if used properly.

UMD researchers to build AI database to improve math learning outcomes

2025-03-11
A University of Maryland-led team has received a $4.5 million grant from the Gates Foundation/Walton Family Foundation to improve AI as a tool to strengthen math instruction and boost learning. The researchers will develop a large-scale, open-source dataset for AI model training tools focused on K–12 math education, sourced over the next three years from…

Examining the impact of drama-based sessions on the social emotional well-being of Autistic pupils in a special school: A multi-informant qualitative study

2025-03-07
Our research suggests that the principles of play, openness and togetherness within drama teaching have the potential to positively contribute to Autistic pupils' experiences of self-esteem, happiness and friendship. (pdf)

Honoring practices of community-based educators: lessons learned from the collaborative design of a creative mobile app

2025-03-07
This paper shares reflections and stories from a collaborative design process between the Lifelong Kindergarten group at the MIT Media Lab and a global network of community-based educators to develop a creative coding app called OctoStudio, which supports children and families to create and share interactive projects on mobile devices. (pdf)

Enhancing student experience and learning with iterative design in an intelligent educational game

2025-03-07
With increasing interest in computer-assisted education, AI-integrated systems become highly applicable with their ability to adapt based on user interactions. In this context, this paper focuses on understanding and analysing first-year undergraduate student responses to an intelligent educational system that applies multi-agent reinforcement learning as an AI tutor. (pdf)
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