PI: Carolyn Rose, Carnegie-Mellon University (Award Details) Marcela Borge, Penn State University (Award Details) This Cyberlearning: Transforming Education project brings together leading-edge researchers in computational linguistics and computer-supported collaborative learning to explore feasibility issues in designing an intelligent conversational agent that interacts with groups of learners as they are working together and provides cognitive, meta-cognitive, […]
Tag Archives: Intelligent tutors and tools
EXP: Collaborative Research: A cyber-ensemble of inversion, immersion, collaborative workspaces, query and media-making in mathematics classrooms
PI: Eric Hamilton, Pepperdine University (Award Details) Wayne Ward, Ronald Cole, Boulder Language Technologies (Award Details) In this Cyberlearning: Transforming Education EXP project, the PIs focus on designing classrooms as collaborative workspaces and learning how such learning environments can foster learning well. They are addressing these issues in high school mathematics classrooms. Learners view videos […]
EAGER: Using Crowdsourced Virtual Students to Create Intelligent Tutors
PI: Andrew Olney University of Memphis Award Details This project will develop and evaluate the potential of a new human-computer system that bridges the roles of virtual student and virtual teacher to allow humans and computers to take turns teaching and learning from each other. The key insight is that reading comprehension activities (e.g., vocabulary […]
EXP: Collaborative Research: A System of Animation Gestures for Effective Teaching Avatars
PIs: Voicu Popescu, Nicoletta Adamo-Villani, Purdue University (Award Details) Susan Cook, University of Iowa (Award Details) Howard Friedman,University of California-Riverside (Award Details) This project addresses the challenge of making avatars used in tutoring systems and other learning technologies more engaging and more effective learning guides. One focus is on making the movements of an avatar […]
EXP: Students Authoring Intelligent Tutoring Systems for Constructing Models of Ill-Defined Dynamic Systems
PIs: Kurt VanLehn, Daniel Childers Arizona State University Award Details The PIs, one expert in intelligent tutoring systems, and the other an expert on ecosystems, are investigating the ways model construction can aid in the understanding of complex dynamic systems, specifically ecosystems and systems involved in sustaining life on our planet. The PIs are particularly […]
EAGER: Pilot Investigation of Using Gaze in a Reading Tutor
PIs: David Mostow, Jessica Nelson-Taylor Carnegie-Mellon University The big question the PIs are addressing in this project is how to unobtrusively track silent reading of novice readers so as to be able to use an intelligent tutoring system to aid reading comprehension. This EAGER project focuses on the first steps in answering that question. This […]
DIP: Exploiting Longitudinal Electroencephalogram (EEG) Input in a Reading Tutor
PIs: David Mostow, Kai-Min Chang Carnegie-Mellon University Automated (and human) tutors are limited in their ability to infer what is going on in students’ heads based on their observable behavior. The proposed work addresses this limitation by investigating how EEG input from a commercially-available device can be used as evidence about students’ mental states. In […]