AI in Education

The ÉòоÓïÀÏʦ¼Ò·ÃÂ黨ÊÓÆµ is shaping the future of artificial intelligence (AI), and the College of Education is contributing to its growing impact. From pioneering research to hands-on innovation, our faculty and students are harnessing AI to enhance teaching, personalize learning and expand access to knowledge.

With the opening of our , we’re accelerating research and reimagining what’s possible in schools, classrooms,and communities through the use of AI. Our researchers and educators are developing cutting-edge tools, examining how technology influences learning and preparing educators to use AI thoughtfully and effectively.

Ranked among the top 10 public universities in AI, the ÉòоÓïÀÏʦ¼Ò·ÃÂ黨ÊÓÆµ is advancing interdisciplinary, people-centered and trustworthy AI that serves the public good, and we're helping share its role in education. 



AI Research 

TLPL 708X
Professor: Fengfeng Ke

This introductory course explores the foundations, applications, and implications of artificial intelligence in education. Students will survey both domain-general and domain-specific AI tools, examine human intelligence and learning in relation to AI, and trace the historical development of the field. Core AI methods and categories will be introduced, with hands-on practice in large language model (LLM) applications. 

Additional activities include exploring AI-powered tools creative or research-based projects. Students will critically engage with policy and management considerations for AI in K–12, higher education, and professional learning.

Dr. Loren Jones
Loren Jones, Associate Clinical Professor 
Expertise: Technology in education (immersive field experiences, GenAI, etc.)
Jing Liu photo
Jing Liu, Associate Professor 
Expertise: Artificial intelligence and education
Pic
Shannon Kane, Assistant Clinical Professor 
Expertise: The integration of technology, including AI,  into literacy pedagogy
FengfengKe_Headshot
Fengfeng Ke, Clark Leadership Chair and Professor
Expertise: Human-AI collaboration, mixed reality, and game-based learning
Sweet_Tracy_Headshot_Cropped
Tracy Sweet, Associate Professor
Expertise: Data science and machine learning
David Weintrop
David Weintrop, Associate Professor
Expertise: Educational technology and human-computer interaction

 

  • Lucas Butler
  • Alejandro Perez Belda
  • Hong Jiao
  • Nihat Polat
  • Alison Jovanovic
  • Campbell Scribner
  • Veronica Kang
  • Janet Walkoe
  • Fengfeng Ke
  • David Weintrop
  • Jing Liu
  • Chunyan Yang
  • Doug Lombardi
  • Ji Seung Yang
  • Sarah McGrew