Search Results - "Gratch, Jonathan"

The Machines-In-Society (MIS) model: when and why people trust non-human agents to perform social roles.

Authors: Hong, Joo-Wha Gratch, Jonathan

Source: Behaviour & Information Technology. Jul2026, p1-16. 16p. 2 Illustrations.

Science Simulations: Do They Make a Difference in Student Achievement and Attitude in the Physics Laboratory?

Authors: Kelly, Janet Bradley, Curtis Gratch, Jonathan

Source: Online Submission. 2008.

Peer Reviewed: N

Page Count: 27

Descriptors: Majors (Students), Investigations, Science Achievement, Physics, College Science, Undergraduate Students, Science Laboratories, Science Instruction, Teaching Methods, Student Attitudes, Interviews, Science Experiments, Computer Simulation, Computer Uses in Education

Critical CinéEthnographic Methods: A New Dimension for Capturing the Experience of Learning in Twenty-First Century Qualitative Research

Authors: Gratch, Jonathan Warren, Scott Joseph

Source: TechTrends: Linking Research and Practice to Improve Learning. Sep 2018 62(5):473-482.

Peer Reviewed: Y

Page Count: 10

Descriptors: Ethnography, Qualitative Research, Technology Uses in Education, Video Technology, Electronic Learning

Rational Learning: Finding A Balance between Utility and Efficiency.

Authors: Illinois Univ., Urbana. Dept. of Computer Science. Gratch, Jonathan

Peer Reviewed: N

Page Count: 20

Sponsoring Agency: National Science Foundation, Washington, DC.

Descriptors: Computer Assisted Instruction, Computer Uses in Education, Costs, Efficiency, Learning Strategies, Technological Advancement

An Analysis of Learning To Plan as a Search Problem.

Authors: Illinois Univ., Urbana. Dept. of Computer Science. Gratch, Jonathan DeJong, Gerald

Peer Reviewed: N

Page Count: 19

Sponsoring Agency: National Science Foundation, Washington, DC.

Descriptors: Artificial Intelligence, Computer System Design, Evaluation Methods, Learning Strategies, Planning, Problem Solving, Search Strategies, Systems Development

COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-up Learning.

Authors: Illinois Univ., Urbana. Dept. of Computer Science. Gratch, Jonathan DeJong, Gerald

Peer Reviewed: N

Page Count: 17

Sponsoring Agency: National Science Foundation, Washington, DC.

Descriptors: Algorithms, Artificial Intelligence, Comparative Analysis, Computer System Design, Learning Strategies, Planning, Probability, Problem Solving, Research Needs, Search Strategies, Statistical Analysis, Systems Development

Utility Generalization and Composability Problems in Explanation-Based Learning.

Authors: Illinois Univ., Urbana. Dept. of Computer Science. Gratch, Jonathan M. DeJong, Gerald F.

Peer Reviewed: N

Page Count: 24

Sponsoring Agency: National Science Foundation, Washington, DC.

Descriptors: Artificial Intelligence, Computer System Design, Design Requirements, Learning Strategies, Mathematical Models, Planning, Probability, Problem Solving, Search Strategies, Statistical Analysis, Systems Development

Toward Virtual Humans.

Authors: Swartout, William Gratch, Jonathan Hill, Randall W.

Source: AI Magazine; Summer2006, Vol. 27 Issue 2, p96-108, 13p

“Provably fair” algorithms may perpetuate racial and gender bias: a study of salary dispute resolution.

Authors: Hale, James Kim, Peter H. Gratch, Jonathan

Source: Autonomous Agents & Multi-Agent Systems; Jun2025, Vol. 39 Issue 1, p1-15, 15p

Employing a Critical Lens on Instructor Perceptions of Learning Games: Introduction to a Method

Authors: Warren, Scott J. Gratch, Jonathan S.

Source: International Journal of Virtual and Personal Learning Environments. 2013 4(3):1-17.

Peer Reviewed: Y

Page Count: 17

Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Simulated Environment, Teaching Methods, Ethnography, Video Games, Educational Games, Qualitative Research, Video Technology, Observation, Interviews, Evaluation, Documentaries, Films, College Faculty

Teacher Perception of Project-Based Learning in a Technology-Infused Secondary School Culture: A Critical Cine-Ethnographic Study

Authors: Gratch, Jonathan

Source: ProQuest LLC. 2012Ph.D. Dissertation, University of North Texas.

Peer Reviewed: N

Page Count: 181

Descriptors: Active Learning, Student Projects, Secondary Education, Qualitative Research, Case Studies, Teacher Attitudes, Ethnography, Technology Integration, Curriculum

Geographic Terms: Texas

Access URL: https://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:3573834

MMOGs: Beyond the Wildest Imagination

Authors: Gratch, Jonathan Kelly, Janet

Source: Journal of Interactive Learning Research. Apr 2009 20(2):175-187.

Peer Reviewed: Y

Page Count: 13

Descriptors: Constructivism (Learning), Prior Learning, Computers, Games, Educational Environment, Role Playing, Educational Technology, Cooperative Learning, Technological Advancement, Web Based Instruction, Internet, Computer Simulation

Access URL: https://www.editlib.org/j/JILR/v/20/n/2

Establishing Social Dialog between Buildings and Their Users.

Authors: Khashe, Saba Lucas, Gale Becerik-Gerber, Burcin et al.

Source: International Journal of Human-Computer Interaction. 2019, Vol. 35 Issue 17, p1545-1556. 12p. 3 Color Photographs, 3 Charts, 1 Graph.

Subjects: Dialogue, Virtual reality, Persuasive technology, Intelligent buildings

NegotiAge: Development and pilot testing of an artificial intelligence‐based family caregiver negotiation program.

Authors: Murawski, Alaine Ramirez‐Zohfeld, Vanessa Mell, Johnathan et al.

Source: Journal of the American Geriatrics Society. Apr2024, Vol. 72 Issue 4, p1112-1121. 10p.

Subjects: Community health services, Scale analysis (Psychology), Human services programs, Research funding, Social workers, Satisfaction, Artificial intelligence, Negotiation, Conflict (Psychology), Pilot projects, Questionnaires, Services for caregivers, Families, Emotions, Descriptive statistics, Caregivers, Thematic analysis, Avatars (Virtual reality), Ability, Social support, Video recording, Caregiver attitudes, Training

Getting to Know Each Other: The Role of Social Dialogue in Recovery from Errors in Social Robots.

Authors: Lucas, Gale M. Boberg, Jill Traum, David et al.

Source: ACM/IEEE International Conference on Human-Robot Interaction; 2018, p344-351, 8p

Toward a New Generation of Virtual Humans for Interactive Experiences.

Authors: Rickel, Jeff Marsella, Stacy Gratch, Jonathan

Source: IEEE Intelligent Systems; July/August 2002, Vol. 17 Issue 4, p32-38, 7p

Creating Interactive Virtual Humans: Some Assembly Required.

Authors: Gratch, Jonathan Rickel, Jeff André, Elisabeth

Source: IEEE Intelligent Systems; July/August 2002, Vol. 17 Issue 4, p54-63, 10p

A statistical approach to adaptive problem solving.

Authors: Gratch, Jonathan DeJong, Gerald

Source: Artificial Intelligence; December 1996, Vol. 88, p101-142, 42p

On the efficient allocation of resources for hypothesis evaluation: a statistical approach.

Authors: Chien, Steve Gratch, Jonathan Burl, Michael

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; July 1995, Vol. 17, p652-665, 14p

The cultural influence model: when accented natural language spoken by virtual characters matters.

Authors: Khooshabeh, Peter Dehghani, Morteza Nazarian, Angela et al.

Source: AI & Society; Feb2017, Vol. 32 Issue 1, p9-16, 8p