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Scotty D. Craig
Scotty D. Craig
Associate Professor of Human Systems Engineering, Arizona State University
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
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
7992004
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
6802002
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 (1), 45-80, 2008
4202008
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
290*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
2302006
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
1992006
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
1972008
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
1902008
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
1462000
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
1182013
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
1152004
Promoting constructive activities that support vicarious learning during computer-based instruction
B Gholson, SD Craig
Educational Psychology Review 18 (2), 119-139, 2006
1142006
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
1082009
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
1072009
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
1072008
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
1032003
Reconsidering the voice effect when learning from a virtual human
SD Craig, NL Schroeder
Computers & Education 114, 193-205, 2017
762017
Responding to learners’ cognitive-affective states with supportive and shakeup dialogues
S D’Mello, S Craig, K Fike, A Graesser
International Conference on Human-Computer Interaction, 595-604, 2009
672009
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
652016
Exploring the deep-level reasoning questions effect during vicarious learning among eighth to eleventh graders in the domains of computer literacy and Newtonian physics
B Gholson, A Witherspoon, B Morgan, JK Brittingham, R Coles, ...
Instructional Science 37 (5), 487-493, 2009
552009
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