Project spotlights illuminate a diverse set of projects funded by NSF RETTL and other NSF programs with an emphasis on emerging technologies for teaching and learning. Spotlights provide an opportunity to introduce your project and share some context about your work with the CIRCLS community that they might not otherwise get to learn about. Want us to spotlight your project? Contact CIRCLS to contribute your story.
Explore projects in the Research on Emerging Technologies for Teaching and Learning (RETTL) program area and beyond using our tag map.
Learn more about the range of research taking place at the intersection of computing and learning sciences with our Brokering Tool. Use this tool to find projects of interest, seek out additional expertise in an area, or identify potential collaborators. You can search for projects by keyword, specific project tag, or general category.
Recent Awards! Congratulations to the Research on Emerging Technologies for Teaching and Learning (RETTL, formerly Cyberlearning) award recipients. Welcome to the Center for Integrative Research in Computing and Learning Sciences (CIRCLS) community!
- Digitally Inoculating Viewers Against Visual Misinformation With a Perceptual Training
PI: Martina Rau, University of Wisconsin-Madison, CoPI: Xiaojin Zhu - Collaborative Research: Conference: Promoting Cross-Disciplinary Dialogue Between Experts in Argumentation and Innovative Technologies
- Research on the Use of Real-Time Tracking and Eye-Tracking Technology for Integrating Metacognition and Augmented Reality into Undergraduate Engineering Laboratories
PI: Jung Hyup Kim, University of Missouri-Columbia, CoPIs: Danielle Oprean, Kangwon Seo - Enhancing Active Learning in Additive Manufacturing Using a Bilingual, Assisted Virtual-Reality Platform
PI:Shuchisnigdha Deb, University of Texas at Arlington, CoPI: Yiran Yang, Amanda Olsen - Collaborative Research: Seeing Science: Using Computer Vision to Explore the Scientific Principles Behind Everyday Objects
- FairFL-MC: A Metacognitive Calibration Intervention Powered by Fair and Private Machine Learning
PI: Dong Wang, University of Illinois at Urbana-Champaign, CoPI: Nigel Bosch - Enhancing Programming and Machine Learning Education for Students with Visual Impairments through the Use of Compilers, AI and Cloud Technologies
PI: Wei Wang, University of Texas at San Antonio, CoPIs: Leslie Neely, Kathy Ewoldt - Impact of Utilizing Immersive Virtual Reality and Dynamic Assessment on Mining Engineering Education from the Community of Inquiry Perspective
PI: Pengbo Chu, Board of Regents, NSHE, obo University of Nevada, Reno, CoPIs: Sergiu Dascalu, Leping Liu, Li-Ting Chen, Ying Yang - ISLS 2022 Mentoring Workshops
PI: Joseph Polman, University of Colorado at Boulder - Using Augmented Reality to Enhance Attention in STEM Learning for Students with Executive Function Disabilities
PI: Zachary Alstad, TERC Inc, CoPIs: Jodi Asbell-Clarke, Ibrahim Dahlstrom-Hakki - Multi-modal Learning for Enhanced Engagement and Presence
PI: Robert LiKamWa, Arizona State University, CoPIs: Richard Gerkin, Ruth Wylie, Byron Lahey, Christy Spackman - CAREER: Grasping Understandings of Students Mathematical and Perceptual Strategies Using Real-Time Teacher Orchestration Tools
PI: Erin Ottmar, Worcester Polytechnic Institute - Project mTEAM: Advancing Emergency Medicine Trainee Skills using Multimodal Debriefing System in Simulation-based Training
PI: Vitaliy Popov, Regents of the University of Michigan – Ann Arbor - Support for U.S. Doctoral Students to Participate in the Annual Artificial Intelligence in Education (AIED) and co-located Educational Data Mining (EDM) Conferences
PI: Neil Heffernan, Worcester Polytechnic Institute, CoPI: Bruce McLaren - Seeing Virtually: Toward a Vision of Teaching Physics in 3-D Space
PI: Matthew Anderson, San Diego State University Foundation, CoPIs: Janet Bowers, Dustin Thoman - EAGER: Cultivating Scientific Mindsets in the Machine Learning Era
PI: Zhen Bai, University of Rochester, CoPIs: Raffaella Borasi, Jiebo Luo, Michael Daley - Collaborative Research: Development of Natural Language Processing Techniques to Improve Students’ Revision of Evidence Use in Argument Writing
PI: Diane Litman, University of Pittsburgh, CoPIs: Richard Correnti, Lindsay Clare Matsumura
PI: Elaine Wang, Rand Corporation - Collaborative Research: Improving Speech Technology for Better Learning Outcomes: The Case of AAE Child Speakers
PI: Mari Ostendorf, University of Washington
PI: Julie Washington, University of California-Irvine.
Robin Morris, Georgia State University Research Foundation, Inc
PI: Abeer Alwan, University of California-Los Angeles, CoPI: Alison Bailey - Collaborative Research: Using Artificial Intelligence to Transform Online Video Lectures into Effective and Inclusive Agent-Based Presentations
PI: Nicoletta Adamo-Villani, Purdue University, CoPI: Christos Mousas
PI: Richard Mayer, University of California-Santa Barbara - EAGER: Automatic Story Generation in Support of Early Vocabulary Learning
PI: Katharina Kann, University of Colorado at Boulder, CoPI: Eliana Colunga. - Using Augmented Reality and Artificial Intelligence to Improve Teaching and Learning Spatial Transformations in STEM Disciplines PI: Wei Yan, Texas A&M University. CoPIs: Francis Quek, Philip Yasskin, Dezhen Song, Heather Burte
- Catalyst Project: Development and Implementation of Intelligent Adaptive Cyberlearning System for Minority Freshmen Students PI: Salam Khan, Alabama A&M University. CoPIs: Peter Clarke, Jacob Oluwoye, Lydia Davenport, Anjan Biswas
- EAGER: Collaborative Research: Second Language Speech Production: Formulation of Objective Speech Intelligibility Measures and Learner-Specific Feedback PI: Stephen Looney, Pennsylvania State Univ University Park.
- Combining Smartphone Light Detection and Ranging with Augmented Reality to Enhance Position-Based Teaching and Learning in STEM PI: Colleen Megowan-Romanowicz, American Modeling Teachers Association. CoPI: Mina Johnson-Glenberg, Chrystian Vieyra, Daniel O’Brien, Rebecca Vieyra
- Transformative Computational Models of Narrative to Support Teaching Indigenous Perspectives in K-12 Classrooms PI: Rogelio Cardona-Rivera. University of Utah.
- CAREER: Developing Computational Tools to Revitalize the U.S. Textile Manufacturing Workforce PI: Fatma Baytar, Cornell University.
- Using AI to Focus Teacher-Student Troubleshooting in Classroom Robotics PI: Ross Higashi, Carnegie-Mellon University. CoPI: Jean Oh
- Collaborative Research: Common Error Diagnostics and Support in Short-answer Math Questions PI: Cristina Heffernan, Assistments Foundation Inc.
- Integrating Artificial Intelligence with Smart Engineering and English Language Arts in Upper Elementary Education PI: Jennifer Cross, Tufts University. CoPIs: Jivko Sinapov, Chris Rogers, Steven Coxon
- Transformative Computational Models of Narrative to Support Teaching Indigenous Perspectives in K-12 Classrooms PI: Melissa Tehee, Utah State University. CoPI: Breanne Litts
- Collaborative Research: Common Error Diagnostics and Support in Short-answer Math Questions PI: Neil Heffernan, Worcester Polytechnic Institute. CoPI: Stacy Shaw
- Identifying and Extracting Meaningful Indicators of Children’s Moment-to-Moment Programming Processes in Scratch Gregory Chung, University of California-Los Angeles. CoPI: Kilchan Choi
- Targeted Infusion Project: Technology Enhanced Education and Practices for Success (TEEPS) in Undergraduate Organic Chemistry at Clark Atlanta University PI: Dinadayalane Tandabany, Clark Atlanta University. CoPIs: Issifu Harruna, Conrad Ingram, Xinle Li
- EAGER: Adaptive Digital Twinning: An Immersive Visualization Framework for Structural Cyber-Physical Systems PI: Devin Harris, University of Virginia Main Campus. CoPIs: Jennifer Chiu, Bradford Campbell, Panagiotis Apostolellis
- EAGER: Technology to Review Online Videos for Education (TROVE). PI: Claire Christensen, SRI International. CoPI: Anirban Roy
- New Dimensions of ASL Learning: Implementing and Testing Signing Avatars & Immersive Learning (SAIL 2). PI: Lorna Quandt, Gallaudet University. CoPI: Melissa Malzkuhn
- CAREER: Developing New Scientific Instruments for Classroom Observation: A Multi-modal Machine Learning Approach. PI: Jacob Whitehill, Worcester Polytechnic Institute.
- Enhancing flexible STEM thinking by generating interactive diagrams at scale. PI: Joshua Sunshine, Carnegie-Mellon University. CoPIs: Keenan Crane, Ken Koedinger
- Bimodal Haptic-Mixed Reality (HMR) Needle Insertion Simulation for Hand-Eye Skills. PI: Kwangtaek Kim, Kent State University. CoPIs: Robert Clements, Jeremy Jarzembak
- Productive Online Teamwork Engagement Through Intelligent Mediation. PI: Alejandra Magana-de-Leon, Purdue University. CoPIs: Dominic Kao, Bedrich Benes, Jennifer Richardson
- Exploring Artificial Intelligence-enhanced Electronic Design Process Logs: Empowering High School Engineering Teachers. PI: Mark Riedl, Georgia Tech Research Corporation. CoPIs: Jeff Rosen, Meltem Alemdar, Roxanne Moore
- Supporting Computational Literacy by Designing a Collaborative Platform at the Intersection of Music and Code. PI: Michael Horn, Northwestern University. CoPIs: Michael Zang, Andrea Hillsamer
- Collaborative Research: Common Error Diagnostics and Support in Short-answer Math Questions. PI: Shiting Lan, University of Massachusetts Amherst.
- Inclusively-designing sensory extensions for STEM inquiry learning. PI: Emily Moore, University of Colorado at Boulder. CoPI: Ann Eisenberg
- The Role of Agency and Interactivity in Embodied Conversational Agents to Support Teacher Training in High Poverty Schools. PI: Mubbasir Kapadia, Rutgers University New Brunswick. CoPIs: Matthew Stone, Elisa Shernoff
- Supporting collaborative reflection by K-12 teachers with analytics from intelligent tutoring software. PI: Vincent Aleven, Carnegie-Mellon University.
- Supporting Designers in Learning to Co-create with AI for Complex Computational Design Tasks. PI: Nikolas Martelaro, Carnegie-Mellon University. CoPIs: Lining Yao, Kenneth Holstein
- RETTL: Facilitating socially constructed learning through a shared, mobile-based virtual reality platform in informal learning settings. PI: Sang Won Lee, Virginia Polytechnic Institute and State University. CoPIs: Jeffrey Ogle, Chelsea Lyles, Phyllis Newbill, Myounghoon Jeon
- Improving Student Learning While Decreasing Bias in Teaching Through Simulation. PI: Rhonda Christensen, University of North Texas. CoPI: Gerald Knezek
- Collaborative Research: Advancing STEM Online Learning by Augmenting Accessibility with Explanatory Captions and AI.
PI: Qi Wang, Gallaudet University.
PI: Yun Huang, University of Illinois at Urbana-Champaign. CoPI: Lawrence Angrave
PI: Meng Jiang, University of Notre Dame - EAGER: Collaborative Research: Second Language Speech Production: Formulation of Objective Speech Intelligibility Measures and Learner-Specific Feedback.
PI: John H. L. Hansen, University of Texas at Dallas
PI: Okim Kang, Northern Arizona University
