CURRENTAction Dynamics as an Index of Learning and Generalization. The researchers are exploring how action dynamics can shed light on human learning. By tracking computer-mouse trajectories, they aim to uncover how action dynamics evolve as people learn. PI: Rick Dale. Funding Agency: NSF.
ARIES: Acquiring Research Investigative and Evaluative Skills for Scientific Inquiry. The researchers are developing and testing an interactive intelligent tutor called ARIES that teaches critical thinking in science. The learner holds conversations with two animated pedagogical agents while solving a number of engaging problems in the social and physical sciences. PI (UM): Art Graesser. Funding Agency: IES (subcontract from Northern Illinois University, Keith Millis is PI).
Automated Performance Assessment for After-action Review with Individuals and Teams. This project reviews the design, operation, and application of the AEMASE technology for after action review systems, communities of practice, and associated methods for capturing institutional knowledge, as well as performance considerations for tasks conducted by E2 Hawkeye operators. PI (UM): Art Graesser. Funding Agency: ONR (subcontract from Sandia Labs, Chris Forsythe is PI).
AutoTutor: A Computer Tutor that Simulates Human and Ideal Tutors. AutoTutor simulates human tutorial dialog, with an animated conversational agent that holds a conversation with a student. It integrates advances in discourse processes, education, multimedia, computational linguistics, and artificial intelligence. PI: Art Graesser. Funding Agencies: NSF, ONR, IES, and ARI.
Bio-inspired Recognition of Distortion-invariant Recognition. The researchers are investigating the brain-like biologically-inspired approach to distortion invariant object and face recognition. PI: Khan M. Iftekharuddin. Funding Agencies: NSF, ARO, and AFOSR.
CAREER: Co-analysis of Signal and Sense for Understanding Nonverbal Communications and Their Applications. This project involves AutoTutor interactions with college students and tracking emotions from different channels. PI: Mohammed Yeasin. Funding Agency: NSF.
Coh-Metrix. A system for computing computational cohesion and coherence metrics for written and spoken material, using advanced computational linguistic tools tested in experimental research. PI: Danielle McNamara. Funding Agency: IES.
Computational Neurodynamics. Adaptive dynamical memories are needed in biological systems so it is important to track them in computational models. Problem solving and search tasks are improved with these adaptive systems. PI: Robert Kozma. Funding Agencies: NASA and NSF.
Computer-based Text Analysis across Cultures: Viewing Language Samples through English and Arabic Eyes. This project compares the language and discourse of English and Arabic texts using computerized text analysis tools. Analyses are performed using tools that automatically analyze texts on hundreds of measures of language and text cohesion, including word characteristics, syntax, latent semantic analysis, referential cohesion, mental models, and genre. PI (UM): Art Graesser. Funding Agency: Counterintelligence Field Activity (subcontract from UT Austin, James Pennebaker is PI).
Developing Effective Strategies and Performance Metrics for Automatic Target Recognition. This project is developing a highly efficient automatic target recognition (ATR) system by exploiting model-based image processing and neural networks. PI: Khan M. Iftekharuddin. Funding Agency: U.S. Army Research Office.
GEAR UP (Gaining Early Awareness and Readiness for Undergraduate Program). This grant sends University of Memphis students to selected Memphis City Schools (MCS) to act as tutors or “graduation coaches.” It also brings cohorts of MCS students to campus each summer to experience college style classes and other activities. PI: Don Franceschetti. Funding Agency: U.S. Department of Education.
GenoSAP. This project explores the possibility of using genetic algorithms to solve complex assignment problems. PI: Dipankar Dasgupta. Funding Agency: ONR.
Guru: A Computer Tutor that Models Expert Human Tutors. Guru models the strategies and dialogue of expert human tutors and is a logical progression from AutoTutor, which models the strategies and dialogue of novice human tutors. PI: Andrew Olney. Funding Agency: IES.
IDA: Intelligent Distribution Agent. IDA is an intelligent software agent that reassigns U.S. Navy sailors to new jobs at the end of their current tour of duty. Negotiating with sailors in unstructured English, IDA completely automates the decision making, problem solving, and other cognitive mechanisms of detailers, the human experts who routinely perform this task. She communicates with sailors via email, and queries existing Navy databases just as a human would. PI: Stan Franklin. Funding Agency: Office of Naval Research.
iDrive: Individual Instruction with Deep-Level Reasoning Questions in Vicarious Environments. iDRIVE employs vicarious learning strategies wherein learners observe virtual tutoring sessions from multimedia learning environments with deep-level questions that facilitate constructive learning to optimize classroom instruction. PI: Barry Gholson. Funding Agency: IES.
iMAP: Tracking Multimodal Communication in Humans and Agents. The iMAP (Intelligent MapTask Agent) project investigates multimodal communication in humans and agents, focusing on linguistic modalities (prosody and dialog structure) that reflect major communicative events, and nonlinguistic modalities (eye gaze, facial expressions and gesture). PI: Max Louwerse. Funding Agency: NSF.
iSTART vs. iTaG: Learning Reading Strategies for Science Texts in a Gaming Environment. This project compares the effectiveness of two types of tutoring environments in improving high-school students' ability to understand challenging science text. Both environments contain the same pedagogical content, but present it differently: as a lesson or as a game. PI: Danielle McNamara. Funding Agencies: NSF and IES.
Machine Learning Experiences for Artificial Intelligence. This project is developing a framework for teaching core AI topics through a unifying theme of machine learning. A total of 26 adaptable, hands-on laboratory projects are being developed that can be closely integrated into a one-term AI course. PI: Vasile Rus. Funding Agency: NSF.
MetaTutor: Effectiveness of Pedagogical Agents in Regulating Students’ Understanding of Science. This project examines the effectiveness of animated pedagogical agents (APAs) as external regulatory agents in the learning of the circulatory system. A mixed-initiative intelligent tutoring system similar to AutoTutor simulates the discourse patterns and pedagogical strategies of human tutors. PI: Roger Azevedo. Funding Agency: NSF.
Monitoring Emotions while Students Learn with AutoTutor. This project tracks the emotions of learners as they interact with AutoTutor. The computer automatically classifies emotions on the basis of dialogue history, facial expressions, speech parameters, and body posture. PI: Art Graesser. Funding Agency: NSF.
Multinomial Processing Tree Model: New Projects and Implementations. The project develops new mathematical and statistical properties as well as computational software for a popular class of parametric statistical models for categorical data called multinomial processing tree (MPT) models. These models are used to measure an individual's ability to perform specific cognitive processes in a variety of experimental situations in the social and behavioral sciences. PI: Xiangen Hu. Funding Agency: NSF.
Multiresolution Fractal Modeling of Brain Tumor. In this research we are investigating sophisticated stochastic modeling of pediatric brain tumors in MRIs for improved detection and disease diagnosis. PI: Khan M. Iftekharuddin. Funding Agency: Whitaker Foundation.
NIH Bridges to the Baccalaureate. This project provides various educational and research opportunities for underrepresented minority students in the community colleges to increase the number who successfully transfer from STCC to four-year colleges and help them establish careers in the areas of Biomedical and Natural Sciences. PI: Don Franceschetti. Funding Agencies: NIH, Office of Minority Health.
QUAID: Computer Tool to Improve Questions on Surveys. A computer model of human question understanding (called QUEST) helps survey designers identify problems with questions on a web-based tool called QUAID (Question Understanding Aid). QUAID is being used by six government agencies. PI: Art Graesser. Funding Agencies: U.S. Census Bureau, ONR, and NSF.
TLINC Project Continuation through FIPSE. The Teachers Learning in Networked Communities (TLINC) Project supports teachers in a professional community. TLINC is teachers offering teachers mentoring, collegial support, and skilled guidance. A key part of the project is close collaboration between higher education faculty and school district professionals. PI: Trey Martindale. Funding Agency: U.S. Department of Education, Fund for the Improvement of Postsecondary Education.
Workforce Advanced Learning Technology Laboratory. The WADL lab is helping to scale up web-based learning technologies for the workforce. PI: Xiangen Hu. Funding Agency: DoD.
Workshop on the Question Generation Shared Task and Evaluation Challenge. This defines and offers a shared task on Question Generation at Generation Challenges 2010. PI: Vasile Rus. Funding Agency: NSF.
The Writing Pal: An Intelligent Tutoring System that Provides Interactive Writing Strategy Training. This project evaluates a new system with high school students and English teachers from urban and suburban schools in Memphis. The goal is to provide interactive and adaptive strategy training that encourages students to use independent writing techniques. PI: Danielle McNamara. Funding Agency: IES, U.S. Department of Education.
PASTCAREER: The Role of Self-regulated Learning in Students’ Understanding of Science with Hypermedia. PI: Roger Azevedo. Funding Agency: NSF.
Coh-Metrix: Automated Cohesion and Coherence Scores to Predict Text Readability and Facilitate Comprehension. PI: Danielle McNamara. Funding Agency: IES.
Computer Science Resources for Memphis Area High Schools. PI: Linda Sherrell. Funding Agency: NSF.
Data-Link Aircraft Communications: An Examination of Interference, Coherence, and Workload. PI: Danielle McNamara. Funding Agency: NASA Ames Research Center.
Developing and Testing a Computer Tool that Critiques Survey Questions. PI: Art Graesser. Funding Agency: NSF.
Developing an E-Framework Representation of a Federated Registry Infrastructure for Learning Materials. PI: Daniel Rehak. Funding Agency: University of Southern Queensland.
Developing AutoTutor for Computer Literacy and Physics. PI: Art Graesser. Funding Agency: NSF.
Development and Implementation of Advanced Distributed Learning (ADL) and Training Methods to Support Efforts of the Joint ADL Co-Lab. PI: Xiangen Hu. Funding Agency: Joint ADL Co-Lab.
Development of Deposit to Discovery to Delivery—A User-Focused Infrastructure for Content Management in an ADL Environment. PI: Daniel Rehak. Funding Agency: NAVAIR.
Evolving the JADL Integrated Prototype Architecture: Alignment with the E-Framework. PI: Daniel Rehak. Funding Agency: NAVAIR.
Eye Tracking while Answering Questions in Electronic Multimedia Environments. PI: Art Graesser. Funding Agency: ONR.
Eye Tracking while Interacting with Electronic Multimedia. PI: Art Graesser. Funding Agencies: NSF and ONR.
Figurative Language in Persuasive Recruiting. PI: Roger Kreuz. Funding Agency: ONR.
HURA Advisor. PI: Art Graesser. Funding Agency: Institute for Defense Analyses.
Immunity-based Intrusion Detection Systems. PI: Dipankar Dasgupta. Funding Agency: DARPA.
An In-depth Analysis of Expert Human Tutors. PI: Natalie Person. Funding Agency: ONR.
iSTART. PI: Danielle McNamara. Funding Agency: NSF.
Percolation Models of Phase Transition during Perceptual Processing. PI: Robert Kozma. Funding Agency: NSF/Quantum & Biologically Inspired Computing.
Predicting Information Needed Prior to Request with Cognitive Models of the User’s Task Knowledge. PI: Art Graesser. Funding Agency: ONR.
Preliminary Research on Immunity-based Computational Techniques. PI: Dipankar Dasgupta. Funding Agency: NSF SGER.
Promoting Active Reading Strategies to Improve Students' Understanding of Science. PI: Danielle McNamara. Funding Agency: NSF IERI.
Question-driven Explanatory Reasoning about Devices that Malfunction. PI: Art Graesser. Funding Agency: ONR.
Self-organizing Ontogenetic Development for Autonomous Adaptive Systems. PI: Robert Kozma. Funding Agency: NASA/Ames Revolutionary Computing Systems.
Simulating Tutors with Natural Dialogue and Pedagogical Strategies. PI: Art Graesser. Funding Agency: NSF.
TLINC: Teachers Linked in Networked Communities. PI: Trey Martindale. Funding Agency: Microsoft Corporation.
Understanding in Science. PI: Art Graesser. Funding Agency: NSF, Understanding in Science.
A Web Site on Institutional Review Boards and the Ethical Use of Human Subjects. PI: Art Graesser. Funding Agencies: Institute for Defense Analysis and ONR NAWCTSD.
Why2000: A Tutor that Teaches Mental Models Using Natural Language Dialogs. PI: Art Graesser. Funding Agency: ONR.
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