John Stamper

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Ken KoedingerHCII, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Steven James MooreCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Tiffany BarnesDistinguished Professor of Computer Science, North Carolina State UniversityPatvirtintas el. paštas ncsu.edu
Michael EagleGeorge Mason UniversityPatvirtintas el. paštas gmu.edu
Nicholas DianaColgate University, Department of Computer SciencePatvirtintas el. paštas colgate.edu
Ryan BakerUniversity of PennsylvaniaPatvirtintas el. paštas upenn.edu
Shuchi GroverLooking Glass VenturesPatvirtintas el. paštas cs.stanford.edu
SATABDI BASUPrincipal CS Education Researcher, SRI InternationalPatvirtintas el. paštas sri.com
Marie BienkowskiDeputy DirectorPatvirtintas el. paštas acm.org
Elizabeth A. McLaughlinCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Bruce M. McLarenProfessor, Carnegie Mellon University, U.S.Patvirtintas el. paštas cs.cmu.edu
Norman BierCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Paul DennyAssociate Professor, University of AucklandPatvirtintas el. paštas cs.auckland.ac.nz
Hassan khosraviAssociate Professor, University of QueenslandPatvirtintas el. paštas uq.edu.au
Xinying HouSchool of Information, University of MichiganPatvirtintas el. paštas umich.edu
Steve RitterFounder and Chief Scientist, Carnegie LearningPatvirtintas el. paštas carnegielearning.com
Philip PavlikCarnegie Mellon University, University of MemphisPatvirtintas el. paštas memphis.edu
Jodi DavenportSenior Managing Director, WestEd & Deputy Director, REL NorthwestPatvirtintas el. paštas wested.org
J Derek Lomas PhDIndustrial Design Engineering, Delft University of TechnologyPatvirtintas el. paštas tudelft.nl
Albert CorbettAssociate Research Professor Emeritus, Human-Computer Interaction, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu

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John Stamper

Human-Computer Interaction Institute, Carnegie Mellon University

Patvirtintas el. paštas stamper.org - Pagrindinis puslapis

Artificial Intelligence Educational Data Mining Intelligent Tutoring Systems


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
A data repository for the EDM community: The PSLC DataShop KR Koedinger, RSJ Baker, K Cunningham, A Skogsholm, B Leber, ... Handbook of educational data mining 43, 43-56, 2010	595	2010
New potentials for data-driven intelligent tutoring system development and optimization KR Koedinger, E Brunskill, RSJ Baker, EA McLaughlin, J Stamper AI Magazine 34 (3), 27-41, 2013	263	2013
Toward automatic hint generation for logic proof tutoring using historical student data T Barnes, J Stamper International conference on intelligent tutoring systems, 373-382, 2008	208	2008
Automated Student Model Improvement. KR Koedinger, EA McLaughlin, JC Stamper International Educational Data Mining Society, 2012	150	2012
Using data-driven discovery of better student models to improve student learning KR Koedinger, JC Stamper, EA McLaughlin, T Nixon Artificial Intelligence in Education: 16th International Conference, AIED …, 2013	143	2013
Experimental evaluation of automatic hint generation for a logic tutor J Stamper, M Eagle, T Barnes, M Croy International Journal of Artificial Intelligence in Education 22 (1-2), 3-17, 2013	137	2013
A framework for using hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming environments S Grover, S Basu, M Bienkowski, M Eagle, N Diana, J Stamper ACM Transactions on Computing Education (TOCE) 17 (3), 1-25, 2017	132	2017
Assessing the quality of student-generated short answer questions using GPT-3 S Moore, HA Nguyen, N Bier, T Domadia, J Stamper European conference on technology enhanced learning, 243-257, 2022	119	2022
Human-machine student model discovery and improvement using DataShop JC Stamper, KR Koedinger Artificial Intelligence in Education: 15th International Conference, AIED …, 2011	103	2011
An instructor dashboard for real-time analytics in interactive programming assignments N Diana, M Eagle, J Stamper, S Grover, M Bienkowski, S Basu Proceedings of the seventh international learning analytics & knowledge …, 2017	99	2017
Automatic hint generation for logic proof tutoring using historical data T Barnes, J Stamper Journal of Educational Technology & Society 13 (1), 3-12, 2010	72	2010
Program representation for automatic hint generation for a data-driven novice programming tutor W Jin, T Barnes, J Stamper, MJ Eagle, MW Johnson, L Lehmann Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012	69	2012
The hint factory: Automatic generation of contextualized help for existing computer aided instruction J Stamper, T Barnes, L Lehmann, M Croy Proceedings of the 9th International Conference on Intelligent Tutoring …, 2008	68	2008
Empowering education with llms-the next-gen interface and content generation S Moore, R Tong, A Singh, Z Liu, X Hu, Y Lu, J Liang, C Cao, H Khosravi, ... International Conference on Artificial Intelligence in Education, 32-37, 2023	64	2023
A pilot study on logic proof tutoring using hints generated from historical student data T Barnes, J Stamper, L Lehman, M Croy Educational Data Mining 2008, 197, 2008	58	2008
Towards improving programming habits to create better computer science course outcomes J Spacco, D Fossati, J Stamper, K Rivers Proceedings of the 18th ACM conference on Innovation and technology in …, 2013	55	2013
Avoiding problem selection thrashing with conjunctive knowledge tracing K Koedinger, PI Pavlik Jr, J Stamper, T Nixon, S Ritter Educational data mining 2011, 2010	55	2010
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics J Stamper, ZA Pardos Journal of Learning Analytics 3 (2), 312-316, 2016	49	2016
CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises D Hovemeyer, M Hertz, P Denny, J Spacco, A Papancea, J Stamper, ... Proceeding of the 44th ACM technical symposium on Computer science education …, 2013	43	2013
Assessing the quality of multiple-choice questions using gpt-4 and rule-based methods S Moore, HA Nguyen, T Chen, J Stamper European Conference on Technology Enhanced Learning, 229-245, 2023	40	2023

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