| Affect and learning: An exploratory look into the role of affect in learning with AutoTutor S Craig, A Graesser, J Sullins, B Gholson Journal of Educational Media 29 (3), 241-250, 2004 | 882 | 2004 |
| Animated pedagogical agents in multimedia educational environments: Effects of agent properties, picture features and redundancy. SD Craig, B Gholson, DM Driscoll Journal of Educational Psychology 94 (2), 428–434, 2002 | 737 | 2002 |
| Automatic detection of learner’s affect from conversational cues SK D’mello, SD Craig, A Witherspoon, B McDaniel, A Graesser User modeling and user-adapted interaction 18, 45-80, 2008 | 453 | 2008 |
| Integrating affect sensors in an intelligent tutoring system SK Dmello, SD Craig, B Gholson, S Franklin, R Picard, AC Graesser Affective Interactions: The Computer in the Affective Loop Workshop, 7-13, 2005 | 314* | 2005 |
| The deep level reasoning question effect: The role of dialogue and deep level reasoning questions during vicarious learning SD Craig, J Sullins, A Witherspoon, B Gholson Cognition and Instruction 24 (4), 565-591, 2006 | 247 | 2006 |
| Emote aloud during learning with AutoTutor: Applying the Facial Action Coding System to cognitive–affective states during learning SD Craig, S D'Mello, A Witherspoon, A Graesser Cognition and emotion 22 (5), 777-788, 2008 | 230 | 2008 |
| AutoTutor detects and responds to learners affective and cognitive states S D’Mello, T Jackson, S Craig, B Morgan, P Chipman, H White, N Person, ... Workshop on emotional and cognitive issues at the international conference …, 2008 | 223 | 2008 |
| Predicting affective states expressed through an emote-aloud procedure from AutoTutor's mixed-initiative dialogue SK D'Mello, SD Craig, J Sullins, AC Graesser International Journal of Artificial Intelligence in Education 16 (1), 3-28, 2006 | 218 | 2006 |
| The impact of a technology-based mathematics after-school program using ALEKS on student's knowledge and behaviors SD Craig, X Hu, AC Graesser, AE Bargagliotti, A Sterbinsky, KR Cheney, ... Computers & Education 68, 495-504, 2013 | 157 | 2013 |
| Overhearing dialogues and monologues in virtual tutoring sessions: Effects on questioning and vicarious learning SD Craig, B Gholson, M Ventura, AC Graesser International Journal of Artificial Intelligence in Education 11, 242-253, 2000 | 156 | 2000 |
| Reconsidering the voice effect when learning from a virtual human SD Craig, NL Schroeder Computers & Education 114, 193-205, 2017 | 130 | 2017 |
| Improving classroom learning by collaboratively observing human tutoring videos while problem solving. SD Craig, MTH Chi, K VanLehn Journal of Educational Psychology 101 (4), 779, 2009 | 125 | 2009 |
| Promoting constructive activities that support vicarious learning during computer-based instruction B Gholson, SD Craig Educational Psychology Review 18 (2), 119-139, 2006 | 125 | 2006 |
| Multimethod assessment of affective experience and expression during deep learning SK D'Mello, SD Craig, AC Graesser International Journal of Learning Technology 4 (3-4), 165-187, 2009 | 124 | 2009 |
| Constructing knowledge from dialog in an intelligent tutoring system: Interactive learning, vicarious learning, and pedagogical agents SD Craig, DM Driscoll, B Gholson Journal of Educational Multimedia and Hypermedia 13 (2), 163-183, 2004 | 123 | 2004 |
| Vicarious learning: Effects of overhearing dialog and monologue-like discourse in a virtual tutoring session DM Driscoll, SD Craig, B Gholson, M Ventura, X Hu, AC Graesser Journal of Educational Computing Research 29 (4), 431-450, 2003 | 119 | 2003 |
| The relationship between affective states and dialog patterns during interactions with AutoTutor AC Graesser, SK D'Mello, SD Craig, A Witherspoon, J Sullins, B McDaniel, ... Journal of Interactive Learning Research 19 (2), 293-312, 2008 | 114 | 2008 |
| Motivation, engagement, and performance across multiple virtual reality sessions and levels of immersion W Huang, RD Roscoe, MC Johnson‐Glenberg, SD Craig Journal of Computer Assisted Learning 37, 745-758, 2021 | 110 | 2021 |
| Intelligent tutoring systems work as a math gap reducer in 6th grade after-school program X Huang, SD Craig, J Xie, A Graesser, X Hu Learning and Individual Differences 47, 258-265, 2016 | 84 | 2016 |
| Responding to learners’ cognitive-affective states with supportive and shakeup dialogues S D’Mello, S Craig, K Fike, A Graesser Human-Computer Interaction. Ambient, Ubiquitous and Intelligent Interaction …, 2009 | 74 | 2009 |
GraesserProfessor of Psychology and Institute for Intelligent Systems, University of MemphisVerified email at memphis.edu
