| Learning from human tutoring MTH Chi, SA Siler, H Jeong, T Yamauchi, RG Hausmann Cognitive science 25 (4), 471-533, 2001 | 1315 | 2001 |
| Observing tutorial dialogues collaboratively: Insights about human tutoring effectiveness from vicarious learning MTH Chi, M Roy, RGM Hausmann Cognitive science 32 (2), 301-341, 2008 | 373 | 2008 |
| Can a computer interface support self-explaining RGM Hausmann, MTH Chi Cognitive Technology 7 (1), 4-14, 2002 | 162 | 2002 |
| Learning from collaborative problem solving: An analysis of three hypothesized mechanisms RGM Hausmann, MTH Chi, M Roy Proceedings of the annual meeting of the cognitive science society 26 (26), 2004 | 137 | 2004 |
| Explaining self-explaining: A contrast between content and generation RGM Hausmann, K VanLehn Frontiers in Artificial Intelligence and Applications 158, 417, 2007 | 96 | 2007 |
| Testing the instructional fit hypothesis: the case of self-explanation prompts TJ Nokes, RGM Hausmann, K VanLehn, S Gershman Instructional Science 39, 645-666, 2011 | 94 | 2011 |
| Do radical discoveries require ontological shifts M Chi, R Hausmann International handbook on innovation 3, 430-444, 2003 | 90 | 2003 |
| The effect of self-explaining on robust learning RGM Hausmann, K VanLehn International Journal of Artificial Intelligence in Education 20 (4), 303-332, 2010 | 32 | 2010 |
| Revealing the learning in learning curves RC Murray, S Ritter, T Nixon, R Schwiebert, RGM Hausmann, B Towle, ... Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 29 | 2013 |
| The design of self-explanation prompts: The fit hypothesis RGM Hausmann, TJ Nokes, K VanLehn, S Gershman Proceedings of the 31st Annual Conference of the Cognitive Science Society …, 2009 | 25 | 2009 |
| Shall we explain? Augmenting learning from intelligent tutoring systems and peer collaboration RGM Hausmann, B Van De Sande, K VanLehn Intelligent Tutoring Systems: 9th International Conference, ITS 2008 …, 2008 | 25 | 2008 |
| Are self-explaining and coached problem solving more effective when done by pairs of students than alone? RGM Hausmann, B van de Sande, K VanLehn arXiv preprint arXiv:0805.4223, 2008 | 23 | 2008 |
| What’s in a step? Toward general, abstract representations of tutoring system log data K VanLehn, KR Koedinger, A Skogsholm, A Nwaigwe, RGM Hausmann, ... User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece …, 2007 | 20 | 2007 |
| Why do elaborative dialogs lead to effective problem solving and deep learning RGM Hausmann 28th Annual Meeting of the Cognitive Science Society, 1465-1469, 2006 | 16 | 2006 |
| Collaborative dialog while studying worked-out examples RGM Hausmann, TJ Nokes, K VanLehn, B Van De Sande Artificial intelligence in education, 596-598, 2009 | 15 | 2009 |
| Self-explaining in the classroom: Learning curve evidence RGM Hausmann, K VanLehn Proceedings of the annual meeting of the cognitive science society 29 (29), 2007 | 15 | 2007 |
| Elaborative and critical dialog: Two potentially effective problem-solving and learning interactions RGM Hausmann University of Pittsburgh, 2005 | 12 | 2005 |
| Exploring alternative methods for error attribution in learning curves analysis in intelligent tutoring systems A Nwaigwe, KR Koedinger, K Vanlehn, R Hausmann, A Weinstein Frontiers in Artificial Intelligence and Applications 158, 246, 2007 | 11 | 2007 |
| Trialog: How Peer Collaboration Helps Remediate Errors in an ITS. RGM Hausmann, B Van De Sande, K VanLehn FLAIRS Conference, 415-420, 2008 | 9 | 2008 |
| Dependency-sensitive syllabus editor S Bartle, D Dengler, R Hausmann, K Petsche US Patent App. 14/606,984, 2016 | 8 | 2016 |
Kurt VanLehnProfessor of Computer Science, Arizona State UniversityVerified email at asu.edu
