Immersive technologies have been shown to significantly improve learning as they can
simplify and simulate complicated concepts in various fields. However, there is a lack of …

Empowering K-12 teachers for personalized learning using artificial intelligence (AI) is an
open challenge. AI systems often fall short of meeting the needs of teachers, hindering the …

Educational AI (AIEd) systems are increasingly designed and evaluated with an awareness
of the hybrid nature of adaptivity in real-world educational settings. In practice, beyond being …

Recent work has explored how complementary strengths of humans and artificial
intelligence (AI) systems might be productively combined. However, successful forms of …

Enabling students to dynamically transition between individual and collaborative learning
activities has great potential to support better learning. We explore how technology can …

Designing for effective and efficient pedagogical interventions and orchestration in complex
technology-enhanced learning (TEL) ecosystems is an increasingly challenging issue …

AI-powered educational technology that is designed to support teachers in providing
personalized instruction can enhance their ability to address the needs of individual …

Using data to generate a deeper understanding of collaborative learning is not new, but
automatically analyzing log data has enabled new means of identifying key indicators of …

The development of educational AI (AIEd) systems has often been motivated by their
potential to promote educational equity and reduce achievement gaps across different …

Open-ended questions in mathematics are commonly used by teachers to monitor and
assess students' deeper conceptual understanding of content. Student answers to these …