Wanli Xing, Ph.D.
Associate Professor of Educational Technology and Director of the Virtual Learning Lab
College of Education
Wanli Xing’s research centers on leveraging artificial intelligence and data-driven technologies to transform education. His work explores how AI can enhance teaching and learning, focusing on creating AI-powered learning environments for STEM, developing AI-driven assessments and personalized learning systems, and investigating the ethical implications of AI in education.
Xing’s research has garnered over $32 million in grants from federal agencies and philanthropic organizations. He is a leading figure in the field of AI in education and educational technology. His scholarship addresses critical areas such as developing adaptive learning platforms that personalize instruction based on individual student needs and creating intelligent tutoring systems that provide targeted support. He also investigates the ethical considerations surrounding the use of AI in education, ensuring fairness, transparency and responsibility. His innovative approaches have contributed significantly to the advancement of educational technologies and their potential to improve learning outcomes.
Xing’s work is characterized by a commitment to education for all students, aiming to design and implement AI-driven solutions that cater to varied learners and address existing educational disparities. His research has led to the development of cutting-edge educational tools and technologies, including intelligent tutoring systems, adaptive learning platforms and AI- powered assessment tools. These advancements have the potential to revolutionize the way students learn and teachers teach, creating more engaging, personalized and effective educational experiences.
As a dedicated educator and mentor, Xing is committed to training the next generation of researchers and practitioners in the field of AI in education. He actively engages in collaborative research projects with colleagues and students, fostering a vibrant intellectual community. His contributions to the field have established him as a prominent scholar and thought leader, shaping the future of education through the innovative application of artificial intelligence.
“Dr. Xing is an outstanding researcher, mentor and leader in AI in education and educational technology, and is a tremendous colleague who contributes to the mission of the university, our college and our school,” said Alyson Adams, a clinical professor and director of the School of Teaching and Learning.
