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UMD researchers to build AI database to improve math learning outcomes

11 mars
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

7 mars
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)
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Arabic heritage language education in Sweden: Opportunities and challenges

7 mars
In international comparisons, the Swedish heritage-language education (HLE) system is often described as being at the forefront of HLE in Europe. Following recent right-wing shifts in national politics, HLE has now come under threat. This article investigates the current state of HLE in Sweden, focussing on Arabic, through a survey of the literature, statistics on…

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

7 mars
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

7 mars
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)