arXiv:2601. 18685v4 Announce Type: replace-cross Abstract: The capabilities of generative AI in mathematics education are rapidly evolving, posing significant challenges for research to keep pace.
By Anselm Strohmaier, Samira B\"odefeld, Oliver Straser, Frank Reinhold
arXiv:2411. 00631v2 Announce Type: replace-cross Abstract: This scoping review examines the relationship between Generative AI (GenAI) and agency in education, analyzing the literature available through the lens of Critical Digital Pedagogy.
By Jasper Roe (James Cook University Singapore), Mike Perkins (British University Vietnam)
arXiv:2607. 11881v1 Announce Type: cross Abstract: Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, and more.
By Gabrielle Kaili-May Liu, Areeb Gani, Jacqueline Lu, Jordan Thomas, Mark Steyvers, Arman Cohan
Generative artificial intelligence (GenAI) has entered classrooms faster than teachers have been prepared to use it well, producing a GenAI literacy lag in which technological diffusion outpaces educators' conceptual, pedagogical, and ethical readiness. Established AI literacy frameworks predate the widespread adoption of large language models and, while acknowledging ethics, position it as a discrete competency rather than a constitutive commitment, with equity and agency as supplementary design principles.
arXiv:2609.07715v1 Announce Type: cross
Abstract: The hype around generative AI seems to promise unprecedented productivity (and learning) gains. However, these technologies' increasing agentic featu...
By Luis P. Prieto, Yannis Dimitriadis
Khan Academy explores the potential for GPT-4 in a limited pilot program.
arXiv:2607. 05412v1 Announce Type: cross Abstract: STEM education faces challenges in personalization and interdisciplinary integration.
By Jesse Yusuf Chan (Zexi Chen), Mengyao Chen, Yang Hong, Ziyun Song, Haoming Wang, Xianlong Xu
MIT Schwarzman College of Computing launched a pilot program that hosted a weeklong summer workshop for higher education faculty. The workshop focused on exploring how AI and machine learning materials can be adapted for use in their classrooms across various disciplines.
By Amanda Diehl | MIT Schwarzman College of Computing
arXiv:2606. 12441v1 Announce Type: cross Abstract: The four dominant learning theories of behaviorism, cognitivism, constructivism, and connectivism show significant conceptual limitations as generative artificial intelligence (AI) proliferates in educational settings.
By Shan Li, Juan Zheng
OpenAI advances Education for Countries, expanding AI adoption in schools with new partnerships, teacher training, and tools to improve global learning outcomes.
arXiv:2606. 09041v1 Announce Type: cross Abstract: Research on artificial intelligence in education (AIED) is rapidly expanding, yet technical progress often lacks human-centered grounding and adequate attention to cultural context.
By Jiaojiao Zhao, Weisheng Zhang, Jiawen Cai, Haibin Gao, Luyao Zhang