8/1/19-7/31/22 PIs: Ivon Arroyo, Gillian Smith, Erin Ottmar Worcester Polytechnic Institute Award Details Our nation’s economy is rapidly shifting. Both educators and business leaders recognize that computational thinking (CT) is a “new basic” knowledge necessary for economic opportunity and social mobility. All students should have the opportunity to learn computational thinking in school and be […]
Category Archives: CFLT-WHTF
Collaborative Research: Precision Learning: Data-Driven Experimentation of Learning Theories using Internet-of-Videos
10/1/19-9/30/21 PI: Dongwon Lee, Pennsylvania State University (Award Details) This is a project to study what works to help students learn more effectively in the context of the ASSISTments system. ASSISTments is an online system that provides both assistance to students and real time assessment data to teachers. ASSISTments now supports 100,000 students who have […]
Doctoral Consortium Workshop at the Learning Analytics and Knowledge Conference 2020
3/1/20-2/28/21 PIs: Michael Brown, Stephanie Teasley Iowa State University Award Details Data intensive research is becoming increasingly important across all scientific disciplines. In particular, the field of education research is experiencing a revolution in methodology due to the increasing digitization of the learning process. The Society for Learning Analytics Research (SoLAR) is a key player […]
Collaborative Research: Immersive Virtual Reality with Haptic Feedback to Improve Safety Hazard Recognition, Assessment, and Decision-Making Among Construction Professionals
9/1/19-8/31/22 PIs: Steven Ayer, Arizona State University (Award Details) Jeremi London, Virginia Polytechnic (Award Details) The construction industry accounts for hundreds of fatalities and hundreds of thousands of non-fatal injuries annually. The current modes of safety training do not effectively prepare practitioners to build safely. Research shows that safety learning occurs to a great extent […]
Collaborative Research: Open Player and Community Modeling as a Learning Tool
9/1/19-8/31/22 PIs: Magy Seif El-Nasr, Northeastern University (Award Details) Jichen Zhu, Drexel University (Award Details) An active research area in intelligent tutoring systems and game-based learning is personalized learning. In these environments, the computer analyzes learner behaviors in real time and builds individual models of critical aspects of learning (e.g., level of engagement, knowledge acquisition) […]
Collaborative Research: CSL-MultiAD: Assessing Collaborative STEM Learning through Rich Information Flow based on Multi-Sensor Audio Diarization
8/1/19-7/31/22 PIs: John H. L. Hansen, University of Texas at Dallas (Award Details) Dwight Irvin, University of Kansas Center for Research (Award Details) The ability to learn concepts, especially for science and math (STEM) based disciplines, is impacted by educators who inspire, motivate, and create supportive environments and teaching methodologies which lower the entry barrier […]
Collaborative Research: Student Affect Detection and Intervention with Teachers in the Loop
9/1/19-8/31/22 PIs: Shiting Lan, University of Massachusetts Amherst (Award Details) Neil Heffernan, Worcester Polytechnic Institute (Award Details) Ryan Baker, University of Pennsylvania (Award Details) In recent years, there has been increasing effort to integrate modern artificial intelligence technologies into adaptive learning systems to enhance student learning. One key emerging area is in the use of […]
Exploring Social Learning in Collaborative Augmented Reality with Virtual Agents as Learning Companions
7/15/19-6/30/22 PIs: Marjorie Zielke, Scotty Craig, Robert Rege, James Wagner University of Texas at Dallas Award Details In the context of medical student education, this Cyberlearning project will investigate how to design rich social learning experiences that integrate real and virtual features (objects or people) to enhance the learning process. To simulate a role-playing experience […]
Support for Doctoral Students to Attend the 20th International Conference on Artificial Intelligence in Education (AIED 2019)
5/1/19-4/30/20 PI: Bruce McLaren Carnegie-Mellon University Award Details The United States has historically been the global leader in the field of artificial intelligence in education (AIED), or ways to use artificial intelligence technology to enhance teaching and learning in contexts ranging from children learning math in K12 setting, to soldiers learning highly technical jobs in […]
Injecting Learning into Work: Enhancing Career Advancement through Transformation of Professional Development in Technical Career Paths
9/1/19-8/31/22 PIs: Carolyn Rose, Majd Sakr, Michael Hilton Carnegie-Mellon University Award Details The World Economic Forum estimates that up to 5 million jobs may be lost to disruptive labor changes by 2020, a development that leads to concerns regarding unemployment, underemployment, and the need for workers to reskill. This project explores how to address this […]