Learning Sciences & Emergent Technologies Hub

Resources

Resources: LSET

Courses

LSET shares a compilation of courses related to AI and other emergent technologies available at the University of Pittsburgh.

  • HAIL has gathered data on the people, centers, and courses connected with AI. This is a link to HAIL’s Rol-AI-Dex which can be used to search for Pitt AI-related courses.
  • This spreadsheet is provided by HAIL and lists the known Pitt AI-related courses available at the University.
  • INFSCI 0505 AI and Critical Thinking
    This course introduces students from all backgrounds to essential AI concepts. No technical experience is required, and students from all backgrounds are encouraged to join this course. Students will explore how human cognition and AI differ, learning to distinguish tasks suited for each. Through discussions, case studies, and hands-on work with AI tools, students will examine AI's presence in different areas of society, such as education, government, media, and daily life. The course emphasizes aligning AI use with personal values and ethical considerations, preparing students to critically evaluate AI and communicate its possibilities and limitations to a general audience.
    Academic Career: Undergraduate
    Course Component: Lecture
    Grade Component: LG/SNC Elective Basis
    Minimum Credits: 3
    Maximum Credits: 3

Podcasts

  • Between Code and Care graphic

     Between Code and Care
    Health Sciences and Information Technology (HSIT) has launched its new student-led podcast about AI, Between Code and Care. It would be great if people could spread the news. Between Code and Care Podcast - YouTube

  • Blinking Cursor logoThe Blinking Cursor
    Alan Lesgold, professor emeritus of education, psychology, and intelligent systems and the Renée and Richard Goldman Dean Emeritus of the School of Education, recently recorded an episode of The Prompt's Blinking Cursor podcast with Teaching Consultant J. D. Wright in the Teaching Center's Media Creation Lab in Alumni Hall. The podcast discusses changes to the higher education landscape as a result of teaching with AI, and we will produce new episodes throughout the school year. The Prompt’s Blinking Cursor- YouTube

Publications

LSET does not, as a collective, produce publications but individual LSET members’ relevant publications are shared here.

Books

  • The Norton Guide bookThe Norton Guide to AI-Aware Teaching by Annette Vee (Author), Marc Watkins (Author), Derek Bruff (Author), September 2026

 

 

Conference Proceedings

  • Chen, Z., Chen, L., Schunn, C., Coelho, R., & Li, X. L. (2026). Neuron-Aware Active Few-Shot Learning for LLMs. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026, Main Conference).
  • Chen, Z., Zhang, B., Lin, N., Hou, T., & Wang, L. (2025). Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data. Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL, EMNLP 2025).
  • Sharma, P., Sha, Y., Fofang, J. S. B. E., Yan, B., Turner, J. A., Balay, N., Asare, H. O., Stewart, A. E. B., & Walker, E. (2026). Hybrid LLM-Embedded Dialogue Agents for Learner Reflection: Designing Responsive and Theory-Driven Interactions. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26), Barcelona, Spain.
  • Unal, D. S., Mowad, T., Arrington, C. M., Solovey, E., & Walker, E. (2026). Leveraging Privileged Multimodal Data to Model Cognitive States in an Interactive Learning Platform. Proceedings of the Educational Data Mining Conference, Seoul, Republic of Korea.
  • Savelka, J., Ashley, K.D., Gray, M.A., Westermann, H., & Xu, H. (2023). Explaining Legal Concepts with Augmented Large Language Models (GPT-4). Proceedings of the International Conference on Artifical Intelligence and Law (ICAIL 2023), University of Minho Law School, Braga, Portugal.

Journal Articles

  • Barrillas, R. B., Gilbert, R., De Leon, M., Wang, Y., & Fraundorf, S. (2026). Building Confidence in Hybrid Anatomy Learners. Clinical Anatomy.
  • Berrios Barillas, R., de Leon, M., Fraundorf, S., Brusilovsky, P., de Alencar, R. S., Nixon-Cave, K., & Wang, Y. (2026). Supplemental AI in a hybrid human anatomy course and its effect on student performance and engagement. American Journal of Distance Education.
  • Li, T., Matsumura, L. C., Wang, E., Litman, D., Liu, Z., Correnti, R., & Hong, M. (2026). AI-assisted evaluation of revision patterns in young students' argument writing. Frontiers in Education.
  • Zhang, L., Grabmair, M., & Ashley, K. (2026). Thinking longer, not always smarter: Evaluating LLM capabilities in hierarchical legal reasoning. ACM Computers and Law Symposium.
  • Coelho, R., & McCollum, A. (2025). Illuminating socially distributed identity resources in student writing through artificial intelligence to support the design of culturally informed learning experiences. Discourse Processes.
  • Coelho, R., Cheng, J., Pea, R., Schunn, C., & Liu, J. (2025). Advancing quantum information science pre-college education: The case for learning sciences collaboration. e-print.
  • Coelho, R., Bjune, A., E., Ellingsen, S., Solheim, B., M., Thormodsæter, R., Wasson, B., & Cotner, S. (2025). A call for clarity: Biology students advocate for guidelines for the use of generative AI in higher education. (2025). Journal of Science Education and Technology.

White Papers

LSET does not, as a collective, produce white papers but individual LSET members often write blog posts, white papers, position papers, and the like. This section shares these individually produced artifacts.

Resources: Pitt