Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive–affective states during interactions with three different computer-based learning environments
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Boredom in a computer learning environment can cause inferior learning and problem behavior.
“Boredom in a computer learning environment can cause inferior learning and problem behavior (Baker, D'Mello, Rodrigo, & Graesser, 2010).”
From The effect of using Kahoot! for learning – A literature review (2020) · cites this paper as Baker, D'Mello, Rodrigo, & Graesser, 2010
Boredom is associated with poor learning and with gaming the system.
“In addition, Baker et al. (2010) found that certain types of affective states, such as boredom, were associated with poor learning and with gaming the system.”
From Affective learning: Improving engagement and enhancing learning with affect-aware feedback (2017) · cites this paper as Baker et al., 2010
Affect interacts with and influences the learning process.
“It is well understood that affect interacts with and influences the learning process (Kort et al., 2001; D'Mello et al., 2014; Baker et al., 2010).”
From Affective learning: Improving engagement and enhancing learning with affect-aware feedback (2017) · cites this paper as Baker et al., 2010
Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398 · see citing works
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241 · see citing works
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284 · see citing works
Flow: the psychology of optimal experience
(1990) · Choice Reviews Online · doi:10.5860/choice.28-0597 · Cited by 12,652 · see citing works
Flow: The Psychology of Optimal Experience
Buchanan, R., & Csíkszentmihályi, M. (1991) · Design Issues · doi:10.2307/1511458 · Cited by 9,437 · see citing works
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382 · see citing works
(1999) · Cited by 6,308 · see citing works
Core affect and the psychological construction of emotion.
Russell, J. A. (2003) · Psychological Review · doi:10.1037/0033-295x.110.1.145 · Cited by 6,113 · see citing works
Bower, G. H. (1981) · American Psychologist · doi:10.1037//0003-066x.36.2.129 · Cited by 5,798 · see citing works
Constants across cultures in the face and emotion.
Ekman, P., & Friesen, W. V. (1971) · Journal of Personality and Social Psychology · doi:10.1037/h0030377 · Cited by 5,509 · see citing works
The Cambridge Handbook of the Learning Sciences
(2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833 · Cited by 4,660 · see citing works
Positive emotions broaden the scope of attention and thought‐action repertoires
Fredrickson, B. L., & Branigan, C. (2005) · Cognition & Emotion · doi:10.1080/02699930441000238 · Cited by 3,521 · see citing works
Lewis, M., & Haviland, J. M. (1993) · Cited by 3,308 · see citing works
Emotional design: why we love (or hate) everyday things
(2004) · Choice Reviews Online · doi:10.5860/choice.41-6846 · Cited by 3,086 · see citing works
Tatnall, A. (2020) · Encyclopedia of Education and Information Technologies · doi:10.1007/978-3-030-10576-1_300187 · Cited by 2,893 · see citing works
The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring
BLOOM, B. S. (1984) · Educational Researcher · doi:10.3102/0013189x013006004 · Cited by 2,734 · cited 2× · see citing works
“These learning gains are higher than those achieved by inexperienced human tutors (~0.4 SD, see Cohen, Kulik, & Kulik, 1982) but are not quite as good as learning gains achieved by expert human tutors (~2.0 SD, see Bloom, 1984).”
BackgroundInfluentialKnowledge tracing: Modeling the acquisition of procedural knowledge
Corbett, A. T., & Anderson, J. R. (1995) · User Modelling and User-Adapted Interaction · doi:10.1007/bf01099821 · Cited by 2,324 · see citing works
Situated Language and Learning: A Critique of Traditional Schooling
Gee, J. P. (2004) · Medical Entomology and Zoology · Cited by 2,323 · see citing works
On the universality and cultural specificity of emotion recognition: a meta-analysis
Elfenbein, H. A., & Ambady, N. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.2.203 · Cited by 2,049 · see citing works
Cognitive Tutors: Lessons Learned
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0402_2 · Cited by 1,982 · see citing works
Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990.
Csíkszentmihályi, M. (1990) · Cited by 1,864 · see citing works
Barrett, L. F. (2006) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2006.00003.x · Cited by 1,859 · see citing works
Nonverbal Leakage and Clues to Deception <sup>†</sup>
Ekman, P., & Friesen, W. V. (1969) · Psychiatry · doi:10.1080/00332747.1969.11023575 · Cited by 1,854 · see citing works
Proceedings for the Annual Meeting of the Cognitive Science Society
Dziemianko, M., Clarke, A. D. F., & Keller, F. (2013) · Cited by 1,726 · see citing works
Russell, J. A. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.115.1.102 · Cited by 1,640 · see citing works
Emotional Design: Why We Love (or Hate) Everyday Things
Fishwick, M. W. (2004) · The Journal of American Culture · doi:10.1111/j.1537-4726.2004.133_10.x · Cited by 1,568 · see citing works
Handbook of Metacognition in Education
Hacker, D. J., Dunlosky, J., & Graesser, A. C. (2009) · doi:10.4324/9780203876428 · Cited by 1,509 · see citing works
Self-citationEducational Outcomes of Tutoring: A Meta-analysis of Findings
Cohen, P. A., Kulik, J. A., & Kulik, C.-L. C. (1982) · American Educational Research Journal · doi:10.3102/00028312019002237 · Cited by 1,138 · see citing works
(1972) · Cited by 1,126 · see citing works
Toward an affect-sensitive multimodal human-computer interaction
Pantic, M., & Rothkrantz, L. J. M. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817122 · Cited by 791 · see citing works
Mind and Body: Psychology of Emotion and Stress
Mandler, G. (1984) · Medical Entomology and Zoology · Cited by 762 · see citing works
Strategies for stimulating the motivation to learn
Keller, J. M. (1987) · Performance + Instruction · doi:10.1002/pfi.4160260802 · Cited by 762 · see citing works
Kort, B. W., Reilly, R., & Picard, R. W. (2002) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2001.943850 · Cited by 751 · see citing works
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue.
Graesser, A. C., Chipman, P., Haynes, B. C., & Olney, A. (2005) · IEEE Transactions on Education · doi:10.1109/te.2005.856149 · Cited by 750 · see citing works
Self-citationProceedings of the 32nd annual meeting on Association for Computational Linguistics -
Pustejovsky, J. (1994) · doi:10.3115/981732 · Cited by 732 · see citing works
Mora, M. C. F., & Arnold, J. (2000) · TESOL Quarterly · doi:10.2307/3587794 · Cited by 703 · see citing works
Anderson, J. R., Boyle, C., & Reiser, B. (1985) · Science · doi:10.1126/science.228.4698.456 · Cited by 699 · see citing works
The Collective Construction of Work Group Moods
Bartel, C. A., & Saavedra, R. (2000) · Administrative Science Quarterly · doi:10.2307/2667070 · Cited by 678 · see citing works
Filho, W. L. (2019) · Springer eBooks · doi:10.1007/978-3-030-11352-0_300076 · Cited by 658 · see citing works
The Handbook of Emotion and Memory
Christianson, S. (2014) · Psychology Press eBooks · doi:10.4324/9781315807454 · Cited by 647 · see citing works
Miserandino, M. (1996) · Journal of Educational Psychology · doi:10.1037/0022-0663.88.2.203 · Cited by 632 · see citing works
Affect and learning: An exploratory look into the role of affect in learning with AutoTutor
Craig, S., Graesser, A., Sullins, J., & Gholson, B. (2004) · Journal of Educational Media · doi:10.1080/1358165042000283101 · Cited by 630 · see citing works
Self-citationAutomatic prediction of frustration
Kapoor, A., Burleson, W., & Picard, R. W. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2007.02.003 · Cited by 592 · see citing works
The handbook of emotion and memory: research and theory
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5277 · Cited by 585 · see citing works
AutoTutor: A tutor with dialogue in natural language
Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H. H., Ventura, M., Olney, A. M., & Louwerse, M. M. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195563 · Cited by 567 · see citing works
Self-citationThis computer responds to user frustration:
Klein, J., Moon, Y., & Picard, R. W. (2002) · Interacting with Computers · doi:10.1016/s0953-5438(01)00053-4 · Cited by 560 · see citing works
Mandryk, R. L., & Atkins, M. S. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.11.011 · Cited by 538 · see citing works
Yerkes-Dodson: A Law for all Seasons
Teigen, K. H. (1994) · Theory & Psychology · doi:10.1177/0959354394044004 · Cited by 515 · see citing works
Affective Learning — A Manifesto
Picard, R. W., Papert, S. A., Bender, W. R., Blumberg, B. M., Breazeal, C., Cavallo, D. P., Machover, T., Resnick, M., Roy, D. K., & Strohecker, C. (2004) · BT Technology Journal · doi:10.1023/b:bttj.0000047603.37042.33 · Cited by 511 · see citing works
Probabilistic assessment of user's emotions in educational games
Conati, C. (2002) · Applied Artificial Intelligence · doi:10.1080/08839510290030390 · Cited by 498 · see citing works
Arnold, J. (1999) · Cited by 488 · see citing works
Re-conceptualizing Emotion and Motivation to Learn in Classroom Contexts
Meyer, D. K., & Turner, J. C. (2006) · Educational Psychology Review · doi:10.1007/s10648-006-9032-1 · Cited by 479 · see citing works
Kanpolat, Y. (2005) · Surgical Neurology · doi:10.1016/j.surneu.2005.07.019 · Cited by 472 · see citing works
Off-task behavior in the cognitive tutor classroom
Baker, R. S., Corbett, A. T., Koedinger, K. R., & Wagner, A. Z. (2004) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985741 · Cited by 456 · see citing works
Self-citationHow emotion is made and measured
Boehner, K., DePaula, R., Dourish, P., & Sengers, P. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.11.016 · Cited by 455 · see citing works
Why Do Only Some Events Cause Learning During Human Tutoring?
VanLehn, K. A., Siler, S. A., Murray, C., Yamauchi, T., & Baggett, W. B. (2003) · Cognition and Instruction · doi:10.1207/s1532690xci2103_01 · Cited by 443 · see citing works
Improving academic achievement: Impact of psychological factors on education
Aronson, J. M. (2002) · Cited by 397 · see citing works
Prosody-based automatic detection of annoyance and frustration in human-computer dialog
Ang, J., Dhillon, R., Krupski, A., Shriberg, E. E., & Stolcke, A. (2002) · International Conference on Spoken Language Processing (ICSLP) · doi:10.21437/icslp.2002-559 · Cited by 390 · see citing works
HUMAN-COMPUTER INTERACTION: Psychology as a Science of Design
Carroll, J. M. (1997) · Annual Review of Psychology · doi:10.1146/annurev.psych.48.1.61 · Cited by 387 · see citing works
When Are Tutorial Dialogues More Effective Than Reading?
VanLehn, K., Graesser, A. C., Jackson, G. T., Jordan, P., Olney, A., & Rosé, C. P. (2007) · Cognitive Science · doi:10.1080/03640210709336984 · Cited by 378 · see citing works
Self-citationComputers and classroom culture
(1996) · Choice Reviews Online · doi:10.5860/choice.33-6430 · Cited by 347 · see citing works
Patrick, B. C., Skinner, E. A., & Connell, J. P. (1993) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.65.4.781 · Cited by 336 · see citing works
Recognising Human Emotions from Body Movement and Gesture Dynamics
Castellano, G., Villalba, S. D., & Camurri, A. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_7 · Cited by 335 · see citing works
Patrick, B. C., Skinner, E. A., & Connell, J. P. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.65.4.781 · Cited by 307 · see citing works
Is there an in-group advantage in emotion recognition?
Elfenbein, H. A., & Ambady, N. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.2.243 · Cited by 304 · see citing works
Proceedings of the 26th annual meeting of the Cognitive Science Society
Hoeks, J. C. J., Stowe, L. A., & Wunderink, C. (2005) · Conference Cognitive Science · Cited by 300 · see citing works
THE EMPATHIC COMPANION: A CHARACTER-BASED INTERFACE THAT ADDRESSES USERS' AFFECTIVE STATES
Prendinger, H., & Ishizuka, M. (2005) · Applied Artificial Intelligence · doi:10.1080/08839510590910174 · Cited by 291 · see citing works
Koedinger, K. R., & Corbett, A. T. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833.006 · Cited by 284 · see citing works
Mind Bugs: The Origins of Procedural Misconceptions
VanLehn, K. A. (1990) · Cited by 282 · see citing works
A desire to be taught: Instructional consequences of intrinsic motivation
Lepper, M. R., & Córdova, D. I. (1992) · Motivation and Emotion · doi:10.1007/bf00991651 · Cited by 276 · see citing works
Peterson, P. L., & Fennema, E. H. (1985) · American Educational Research Journal · doi:10.3102/00028312022003309 · Cited by 273 · see citing works
Proceedings of the 29th Annual Cognitive Science Society
McNamara, D. S., & Trafton, J. G. (2007) · Cited by 268 · see citing works
Why Students Engage in “Gaming the System” Behavior in Interactive Learning Environments
Baker, R. S., Walonoski, J. A., Heffernan, N. T., Roll, I., Corbett, A. T., & Koedinger, K. R. (2008) · Cited by 256 · see citing works
Self-citationFacets of emotion: recent research
(1989) · Choice Reviews Online · doi:10.5860/choice.26-2953 · Cited by 253 · see citing works
Adapting to When Students Game an Intelligent Tutoring System
Baker, R. S., Corbett, A. T., Koedinger, K. R., Evenson, S., Roll, I., Wagner, A. Z., Naim, M., Raspat, J., Baker, D. J., & Beck, J. E. (2006) · Lecture notes in computer science · doi:10.1007/11774303_39 · Cited by 245 · see citing works
Self-citationInforming the Detection of the Students’ Motivational State: An Empirical Study
de Vicente, Á., & Pain, H. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47987-2_93 · Cited by 237 · see citing works
How might emotions affect learning
Bower, G. H. (1992) · Cited by 236 · see citing works
Modeling and understanding students' off-task behavior in intelligent tutoring systems
Baker, R. S. (2007) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1240624.1240785 · Cited by 230 · see citing works
Self-citationGraesser, A. C., & Olde, B. A. (2003) · Journal of Educational Psychology · doi:10.1037/0022-0663.95.3.524 · Cited by 219 · see citing works
Self-citationDweck, C. S. (2002) · Elsevier eBooks · doi:10.1016/b978-012064455-1/50006-3 · Cited by 211 · see citing works
Litman, D. J., & Silliman, S. (2004) · doi:10.3115/1614025.1614027 · Cited by 207 · see citing works
Developing a generalizable detector of when students game the system
Baker, R. S., Corbett, A. T., Roll, I., & Koedinger, K. R. (2008) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-007-9045-6 · Cited by 204 · see citing works
Self-citation(2013) · Psychology Press eBooks · doi:10.4324/9781315808123 · Cited by 185 · see citing works
Mind Bugs: The origins of procedural misconceptions
Pirolli, P. L. T. (1991) · Artificial Intelligence · doi:10.1016/0004-3702(91)90072-r · Cited by 183 · see citing works
Predicting student emotions in computer-human tutoring dialogues
Litman, D. J., & Forbes-Riley, K. (2004) · Annual Meeting of the Association for Computational Linguistics (ACL) · doi:10.3115/1218955.1219000 · Cited by 181 · see citing works
Sylwester, R. (1994) · Educational leadership · Cited by 179 · see citing works
Empathic agents to reduce user frustration: The effects of varying agent characteristics
HONE, K. S. (2006) · Interacting with Computers · doi:10.1016/j.intcom.2005.05.003 · Cited by 178 · see citing works
Graesser, A. C., Lu, S., Olde, B. A., Cooper, E., & Whitten, S. N. (2005) · Memory & Cognition · doi:10.3758/bf03193225 · Cited by 150 · see citing works
Self-citationRisk Taking: Theoretical, Empirical, and Educational Considerations
Clifford, M. M. (1991) · Educational Psychologist · doi:10.1080/00461520.1991.9653135 · Cited by 148 · see citing works
Monitoring Affective Trajectories During Complex Learning
D’Mello, S. K., Taylor, R., & Graesser, A. C. (2012) · SpringerReference · doi:10.1007/springerreference_302615 · Cited by 145 · see citing works
Self-citationFAILURE TOLERANCE AND ACADEMIC RISK‐TAKING IN TEN‐ TO TWELVE‐YEAR‐OLD STUDENTS
Clifford, M. M. (1988) · British Journal of Educational Psychology · doi:10.1111/j.2044-8279.1988.tb00875.x · Cited by 144 · see citing works
Hudlická, E., & McNeese, M. D. (2002) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1013337427135 · Cited by 137 · see citing works
D’Mello, S. K., Craig, S. D., Sullins, J., & Graesser, A. C. (2006) · doi:10.5555/1434940.1434942 · Cited by 136 · see citing works
Self-citationDetection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems
Walonoski, J. A., & Heffernan, N. T. (2006) · Lecture notes in computer science · doi:10.1007/11774303_38 · Cited by 136 · see citing works
Cognitive and affective aspects of boredom
Perkins, R. E., & Hill, A. B. (1985) · British Journal of Psychology · doi:10.1111/j.2044-8295.1985.tb01946.x · Cited by 135 · see citing works
Facial Features for Affective State Detection in Learning Environments
McDaniel, B., D’Mello, S. K., King, B. G., Chipman, P., Tapp, K. M., & Graesser, A. C. (2007) · eScholarship (California Digital Library) · Cited by 133 · see citing works
Self-citationConati, C., & Zhao, X. (2004) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/964442.964446 · Cited by 130 · see citing works
Detection of Emotions during Learning with AutoTutor
Chipman, P., D’Mello, S. K., Gholson, B., Graesser, A. C., McDaniel, B., & Witherspoon, A. M. (2006) · eScholarship (California Digital Library) · Cited by 122 · see citing works
Self-citationShafran, I., Riley, M., & Mohri, M. (2004) · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · doi:10.1109/asru.2003.1318399 · Cited by 112 · see citing works
Varieties of Cues to Emotion in Naturally Occurring Situations
Planalp, S. (1996) · Cognition & Emotion · doi:10.1080/026999396380303 · Cited by 110 · see citing works
The Andes Physics Tutoring System: Five Years of Evaluations
VanLehn, K. A., Lynch, C. F., Schulze, K. G., et al. (2005) · Cited by 106 · see citing works
The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate?
Cocea, M., Hershkovitz, A., & S.J.d., B. R. (2009) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-60750-028-5-507 · Cited by 103 · see citing works
Wilson, T. D. (2008) · Information Research · Cited by 101 · see citing works
Modeling Multimodal Expression of User’s Affective Subjective Experience
Bianchi‐Berthouze, N., & Lisetti, C. (2002) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1013365332180 · Cited by 96 · see citing works
On the Necessity and Feasibility of Detecting a Driver’s Emotional State While Driving
Grimm, M., Kroschel, K., Harris, H., Nass, C., Schuller, B. W., Rigoll, G., & Moosmayr, T. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_12 · Cited by 96 · see citing works
Assessment in Context: Appraising Student Performance in Relation to Instructional Quality
Messick, S. (1984) · Educational Researcher · doi:10.3102/0013189x013003003 · Cited by 96 · see citing works
Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains Modalities
Litman, D. J., Johanna, M., Dzikovska, M. O., & Farrow, E. (2009) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-60750-028-5-149 · Cited by 93 · see citing works
Mixing Microworld and Cas Features in Building Computer Systems that Help Students Learn Algebra
Nicaud, J.-F., Bouhineau, D., & Chaachoua, H. (2004) · International Journal of Computers for Mathematical Learning · doi:10.1023/b:ijco.0000040890.20374.37 · Cited by 91 · see citing works
Artificial Intelligence in Education: Building Technology Rich Learning Contexts that Work
Luckin, R., Koedinger, K. R., & Greer, J. E. (2007) · Cited by 83 · see citing works
Early Prediction of Student Frustration
McQuiggan, S. W., Lee, S., & Lester, J. C. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_61 · Cited by 82 · see citing works
Educational Software Features that Encourage and Discourage “Gaming the System”
S.J.d., B. R., de Carvalho, A. M. J. B., Raspat, J., Aleven, V., Corbett, A. T., & Koedinger, K. R. (2009) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-60750-028-5-475 · Cited by 80 · see citing works
Bay, T., Sjödin, U., & McGoun, E. G. (2011) · International Journal of Critical Accounting · doi:10.1504/ijca.2011.039602 · Cited by 75 · see citing works
Multichannel communication of emotion: Synthetic signal production.
Heß, U., Kappas, A., & Scherer, K. R. (1988) · Cited by 74 · see citing works
Memories, Thoughts, and Emotions
Kessen, W. (2013) · Psychology Press eBooks · doi:10.4324/9780203772508 · Cited by 71 · see citing works
Practical Guidelines for Creating Instructional Multimedia Applications
Fenrich, P. (1997) · Cited by 70 · see citing works
Posture as a Predictor of Learner's Affective Engagement
D’Mello, S. K., Chipman, P., & Graesser, A. C. (2007) · eScholarship (California Digital Library) · Cited by 62 · see citing works
Self-citationOpportunities for New “Smart” Learning Environments Enabled by Next-Generation Web Capabilities
Dodds, P., & Fletcher, J. D. (2004) · Defense Technical Information Center (DTIC) · Cited by 61 · see citing works
Can positive affect induce self-focused attention? Methodological and measurement issues
Silvia, P. J., & Abele, A. E. (2002) · Cognition & Emotion · doi:10.1080/02699930143000671 · Cited by 54 · see citing works
Wagner, J., Vogt, T., & André, E. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_11 · Cited by 47 · see citing works
The processing of affectively valenced stimuli: The role of surprise
Schützwohl, A., & Borgstedt, K. (2005) · Cognition & Emotion · doi:10.1080/02699930441000337 · Cited by 44 · see citing works
Computational Modeling of Mood and Feeling from Emotion
Marinier, R., & Laird, J. E. (2007) · eScholarship (California Digital Library) · Cited by 32 · see citing works
Stein, N. L., Hernandez, M. W., & Trabasso, T. (2008) · Cited by 32 · see citing works
Combining Categorical And Primitives-Based Emotion Recognition
Grimm, M., Kroschel, K., Mower, E., et al. (2006) · doi:10.5281/zenodo.39852 · Cited by 31 · see citing works
Poole, R. (1986) · Cited by 31 · see citing works
Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor
D’Mello, S. K., Taylor, R., Davidson, K. F., & Graesser, A. C. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69132-7_6 · Cited by 30 · see citing works
Self-citationAist, G., Kort, B., Reilly, R. B., et al. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47987-2_99 · Cited by 27 · see citing works
New visions of human–computer interaction: making affect compute
McNeese, M. D. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00059-4 · Cited by 26 · see citing works
Designing intelligent tutors that adapt to when students game the system
Corbett, A. T., Koedinger, K. R., & Baker, R. S. (2006) · Cited by 21 · see citing works
Self-citationBilal, D. N. A. D. (2008) · Cited by 20 · see citing works
Whang, M. C., Lim, J. S., & Boucsein, W. (2003) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.45.4.623.27095 · Cited by 18 · see citing works
(2008) · Data Technologies and Applications · doi:10.1108/00330330810912160 · Cited by 16 · see citing works
Motivations, Values and Emotions: 3 sides of the same coin
Franklin, S., & Ramamurthy, U. (2006) · CogPrints (University of Southampton) · Cited by 12 · see citing works
Komatsu, T., Ohtsuka, S., Ueda, K., & Komeda, T. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_24 · Cited by 7 · see citing works
Towards an Affective Cognitive Architecture
Guhe, M., Gray, W. D., Schoelles, M. J., & Ji, Q. (2004) · eScholarship (California Digital Library) · Cited by 7 · see citing works
Paiva, A., Prada, R., & Picard, R. W. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The effect of using Kahoot! for learning – A literature review
Wang, A. I., & Tahir, R. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103818 · Cited by 883 · see citing works
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.-C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.580820 · Cited by 667 · see citing works
Heffernan, N. T., & Heffernan, C. L. (2014) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-014-0024-x · Cited by 616 · see citing works
The wear out effect of a game-based student response system
Wang, A. I. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.11.004 · Cited by 580 · see citing works
Students’ perception of Kahoot!’s influence on teaching and learning
Licorish, S. A., Owen, H. E., Daniel, B., & George, J. L. (2018) · Research and Practice in Technology Enhanced Learning · doi:10.1186/s41039-018-0078-8 · Cited by 521 · see citing works
Emotional Design in Digital Media for Learning
Plass, J. L., & Kaplan, U. (2016) · Emotions, Technology, Design, and Learning · doi:10.1016/b978-0-12-801856-9.00007-4 · Cited by 377 · see citing works
Agbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2021) · Smart Learning Environments · doi:10.1186/s40561-020-00145-4 · Cited by 325 · see citing works
How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs
Joksimović, S., Poquet, O., Kovanović, V., Dowell, N., Mills, C., Gašević, D., Dawson, S., Graesser, A. C., & Brooks, C. (2018) · Review of Educational Research · doi:10.3102/0034654317740335 · Cited by 182 · see citing works
Self-citationFerreira‐Mello, R., André, M., Pinheiro, A., Costa, E., & Romero, C. (2019) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1332 · Cited by 193 · see citing works
GRAESSER, A., & McNAMARA, D. (2010) · Educational Psychologist · doi:10.1080/00461520.2010.515933 · Cited by 153 · see citing works
Self-citationGuo, L., Wang, D., Gu, F., Li, Y., Wang, Y., & Zhou, R. (2021) · Asia Pacific Education Review · doi:10.1007/s12564-021-09697-7 · Cited by 124 · see citing works
AI Technologies for Social Emotional Learning: Recent Research and Future Directions
Sethi, S. S., & Jain, K. (2024) · Journal of Research in Innovative Teaching & Learning · doi:10.1108/jrit-03-2024-0073 · Cited by 111 · see citing works
Standen, P. J., Brown, D. J., Taheri, M., Galvez Trigo, M. J., Boulton, H., Burton, A., Hallewell, M. J., Lathe, J. G., Shopland, N., Blanco Gonzalez, M. A., et al. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.13010 · Cited by 106 · see citing works
“Given the role of affect in learning (Baker, D’Mello, Rodrigo & Graesser, 2010; Kort, Reilly, & Picard, 2001), one of the most innovative applications of AIEd is in this detection Abstract Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning…”
MethodAffective learning: Improving engagement and enhancing learning with affect-aware feedback
Grawemeyer, B., Mavrikis, M., Holmes, W., Gutiérrez-Santos, S., Wiedmann, M., & Rummel, N. (2017) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-017-9188-z · Cited by 105 · see citing works
Mangaroska, K., Sharma, K., Gašević, D., & Giannakos, M. (2022) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12590 · Cited by 100 · see citing works
The positive effects of verbal encouragement in mathematics education using a social robot
Brown, L. N., & Howard, A. M. (2014) · 2014 IEEE Integrated STEM Education Conference · doi:10.1109/isecon.2014.6891009 · Cited by 71 · see citing works
San Pedro, M. O. Z., Baker, R. S. J. D., Gowda, S. M., & Heffernan, N. T. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39112-5_5 · Cited by 60 · see citing works
Self-citationA (Visual) Novel Route to Learning: A Taxonomy of Teaching Strategies in Visual Novels
Camingue, J., Melcer, E. F., & Carstensdottir, E. (2020) · International Conference on the Foundations of Digital Games · doi:10.1145/3402942.3403004 · Cited by 46 · see citing works
Paige, S. R., Alber, J. M., Stellefson, M. L., & Krieger, J. L. (2018) · Patient Education and Counseling · doi:10.1016/j.pec.2017.11.006 · Cited by 25 · see citing works
Han, B., Nawaz, S., Buchanan, G., & McKay, D. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00456-4 · Cited by 32 · see citing works
Decoding Debugging Instruction: A Systematic Literature Review of Debugging Interventions
Yang, S., Baird, M., O’Rourke, E., Brennan, K., & Schneider, B. (2024) · ACM Transactions on Computing Education · doi:10.1145/3690652 · Cited by 29 · see citing works
Critical issues in designing and implementing temporal analytics.
Chen, B., Knight, S., & Wise, A. (2018) · Journal of Learning Analytics · doi:10.18608/jla.2018.51.1 · Cited by 26 · see citing works
Human-Centered Adaptive Assistance Systems for the Shop Floor
Oestreich, H., Heinz-Jakobs, M., Sehr, P., & Wrede, S. (2023) · Human-Technology Interaction · doi:10.1007/978-3-030-99235-4_4 · Cited by 12 · see citing works
- Authors
- Baker, R. S. J. D., D'Mello, S. K., Rodrigo, M. M. T., & Graesser, A. C.
- Affiliations
- Worcester Polytechnic Institute (US)
- Ateneo de Manila University (PH)
- University of Memphis (US)
- Corresponding author
- Baker, Ryan S.J.d.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 68
- Issue
- 4
- Pages
- 223-241
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W2072035149
- Cited by
- 936
- References
- 136
- Citations by year
- 2026: 49 · 2025: 60 · 2024: 63 · 2023: 62 · 2022: 53 · 2021: 66 · 2020: 77 · 2019: 71 · 2018: 77 · 2017: 63 · 2016: 48 · 2015: 58 · 2014: 74 · 2013: 53 · 2012: 20
- FWCI
- 21.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Studies (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- boredom, frustration, confusion, delight, surprise, computer-based learning environments, intelligent tutoring systems, problem-solving games, gaming the system, learning behavior, pedagogical intervention
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review