Modeling self-efficacy in intelligent tutoring systems: An inductive approach

[1]  Claude Frasson,et al.  CO-OPERATIVE LEARNING STRATEGIES FOR INTELLIGENT TUTORING SYSTEMS , 2008 .

[2]  Elmar Nöth,et al.  Private emotions versus social interaction: a data-driven approach towards analysing emotion in speech , 2008, User Modeling and User-Adapted Interaction.

[3]  Georgios N. Yannakakis,et al.  Entertainment capture through heart rate activity in physical interactive playgrounds , 2008, User Modeling and User-Adapted Interaction.

[4]  Manolis Mavrikis,et al.  Diagnosing and acting on student affect: the tutor’s perspective , 2008, User Modeling and User-Adapted Interaction.

[5]  Diane J. Litman,et al.  The relative impact of student affect on performance models in a spoken dialogue tutoring system , 2008, User Modeling and User-Adapted Interaction.

[6]  Arthur C. Graesser,et al.  Automatic detection of learner’s affect from conversational cues , 2008, User Modeling and User-Adapted Interaction.

[7]  Jacquelynne S. Eccles,et al.  Development of achievement motivation. , 2007 .

[8]  James C. Lester,et al.  Diagnosing Self-efficacy in Intelligent Tutoring Systems: An Empirical Study , 2006, Intelligent Tutoring Systems.

[9]  James C. Lester,et al.  Narrative-Centered Tutorial Planning for Inquiry-Based Learning Environments , 2006, Intelligent Tutoring Systems.

[10]  James C. Lester,et al.  Predicting User Physiological Response for Interactive Environments: An Inductive Approach , 2006, AIIDE.

[11]  James C. Lester,et al.  U-director: a decision-theoretic narrative planning architecture for storytelling environments , 2006, AAMAS '06.

[12]  James C. Lester,et al.  Learning empathy: a data-driven framework for modeling empathetic companion agents , 2006, AAMAS '06.

[13]  Diane J. Litman,et al.  Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors , 2006, Speech Commun..

[14]  A. Bandura GUIDE FOR CONSTRUCTING SELF-EFFICACY SCALES , 2006 .

[15]  Rosalind W. Picard,et al.  Affective learning companions: strategies for empathetic agents with real-time multimodal affective sensing to foster meta-cognitive and meta-affective approaches to learning, motivation, and perseverance , 2006 .

[16]  Frank M. Pajares,et al.  Self-efficacy beliefs of adolescents , 2006 .

[17]  Jiawei Han,et al.  Data Mining: Concepts and Techniques, Second Edition , 2006, The Morgan Kaufmann series in data management systems.

[18]  Jian Pei,et al.  Data Mining: Concepts and Techniques, 3rd edition , 2006 .

[19]  Amy M. Witherspoon,et al.  Detection of Emotions during Learning with AutoTutor , 2006 .

[20]  Ashish Kapoor,et al.  Multimodal affect recognition in learning environments , 2005, ACM Multimedia.

[21]  Stacy Marsella,et al.  Thespian: using multi-agent fitting to craft interactive drama , 2005, AAMAS '05.

[22]  Cristina Conati,et al.  Data-Driven Refinement of a Probabilistic Model of User Affect , 2005, User Modeling.

[23]  Mitsuru Ishizuka,et al.  THE EMPATHIC COMPANION: A CHARACTER-BASED INTERFACE THAT ADDRESSES USERS' AFFECTIVE STATES , 2005, Appl. Artif. Intell..

[24]  Ana Paiva,et al.  LEARNING BY FEELING: EVOKING EMPATHY WITH SYNTHETIC CHARACTERS , 2005, Appl. Artif. Intell..

[25]  Mitsuru Ishizuka,et al.  Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game , 2005, Int. J. Hum. Comput. Stud..

[26]  Yanghee Kim,et al.  Empathetic virtual peers enhanced learner interest and self-efficacy , 2005 .

[27]  Randall W. Hill,et al.  Automated Story Direction and Intelligent Tutoring: Towards a Unifying Architecture , 2005 .

[28]  Stacy Marsella,et al.  A domain-independent framework for modeling emotion , 2004, Cognitive Systems Research.

[29]  Stephen H. Fairclough,et al.  A research agenda for physiological computing , 2004, Interact. Comput..

[30]  Helen Pain,et al.  Providing Cognitive and Affective Scaffolding Through Teaching Strategies: Applying Linguistic Politeness to the Educational Context , 2004, Intelligent Tutoring Systems.

[31]  Yanghee Kim,et al.  Pedagogical Agent Design: The Impact of Agent Realism, Gender, Ethnicity, and Instructional Role , 2004, Intelligent Tutoring Systems.

[32]  W. Lewis Johnson,et al.  Politeness in Tutoring Dialogs: "Run the Factory, That's What I'd Do" , 2004, Intelligent Tutoring Systems.

[33]  Vincent Aleven,et al.  Toward Tutoring Help Seeking: Applying Cognitive Modeling to Meta-cognitive Skills , 2004, Intelligent Tutoring Systems.

[34]  Winslow Burleson,et al.  Affective agents: Sustaining motivation to learn through failure and state of "stuck" , 2004 .

[35]  Robert Michael Young,et al.  An intent-driven planner for multi-agent story generation , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[36]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[37]  Yanghee Kim,et al.  Pedagogical agents as learning companions: the effects of agent affect and gender on student learning, interest, self-efficacy, and agent persona , 2004 .

[38]  R. Moreno Decreasing Cognitive Load for Novice Students: Effects of Explanatory versus Corrective Feedback in Discovery-Based Multimedia , 2004 .

[39]  Richard E. Clark,et al.  Yin and Yang Cognitive Motivational Processes Operating in Multimedia Learning Environments , 2004 .

[40]  Jennifer S. Beer,et al.  The regulatory function of self-conscious emotion: insights from patients with orbitofrontal damage. , 2003, Journal of personality and social psychology.

[41]  Veikko Surakka,et al.  Pupil size variation as an indication of affective processing , 2003, Int. J. Hum. Comput. Stud..

[42]  Rosalind W. Picard,et al.  Automated Posture Analysis for Detecting Learner's Interest Level , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

[43]  Chi-Jen Lin,et al.  Redefining the learning companion: the past, present, and future of educational agents , 2003, Comput. Educ..

[44]  Peter Norvig,et al.  Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.

[45]  J. Allanson,et al.  A Toolkit for Exploring Affective Interface Adaptation in Videogames , 2003 .

[46]  In-Young Kim,et al.  10 An Investigation into Physiological Responses in Virtual Environments: An Objective Measurement of Presence , 2003 .

[47]  Cristina Conati,et al.  Probabilistic assessment of user's emotions in educational games , 2002, Appl. Artif. Intell..

[48]  Marc Cavazza,et al.  Interacting with virtual characters in interactive storytelling , 2002, AAMAS '02.

[49]  Helen Pain,et al.  Informing the Detection of the Students' Motivational State: An Empirical Study , 2002, Intelligent Tutoring Systems.

[50]  Frank M. Pajares,et al.  The development of academic self-efficacy. , 2002 .

[51]  James C. Lester,et al.  Deictic and emotive communication in animated pedagogical agents , 2001 .

[52]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[53]  Yue Cao,et al.  Total-Order Planning with Partially Ordered Subtasks , 2001, IJCAI.

[54]  John R. Anderson,et al.  What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing , 2001, CHI Extended Abstracts.

[55]  John R. Anderson,et al.  Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes , 2001, CHI.

[56]  Bonnie Salomon,et al.  Procedure , 2001, The Lancet.

[57]  Isabel Machado,et al.  Learning by playing Supporting and guiding story-creation activities , 2001 .

[58]  Peter Brusilovsky,et al.  User modeling and user adapted interaction , 2001 .

[59]  William E. J. Doane,et al.  Setting Theoretical and Empirical Foundations for Assessing Scientific Inquiry and Discovery in Educational Programs. , 2000 .

[60]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[61]  Ian Witten,et al.  Data Mining , 2000 .

[62]  Claude Frasson,et al.  Cooperative learning strategies for intelligent tutoring systems , 2000, Appl. Artif. Intell..

[63]  B. Zimmerman,et al.  Self-Efficacy: An Essential Motive to Learn. , 2000, Contemporary educational psychology.

[64]  J. Cassell,et al.  Embodied conversational agents , 2000 .

[65]  Jennifer A. Healey,et al.  Wearable and automotive systems for affect recognition from physiology , 2000 .

[66]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[67]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[68]  James C. Lester,et al.  Towards Narrative-Centered Learning Environments , 1999 .

[69]  Rosalind W. Picard Affective Computing , 1997 .

[70]  Rosalind W. Picard Affective computing: (526112012-054) , 1997 .

[71]  A. Bandura,et al.  Self-Efficacy in Changing Societies , 1996, Journal of Cognitive Psychotherapy.

[72]  W. Verwey,et al.  Detecting short periods of elevated workload: A comparison of nine workload assessment techniques , 1996 .

[73]  Frank Pajares,et al.  Self-Efficacy Beliefs and General Mental Ability in Mathematical Problem-Solving , 1995 .

[74]  P. Lang The emotion probe. Studies of motivation and attention. , 1995, The American psychologist.

[75]  A. Pope,et al.  Biocybernetic system evaluates indices of operator engagement in automated task , 1995, Biological Psychology.

[76]  Albert Bandura,et al.  Exercise of personal and collective efficacy in changing societies , 1995 .

[77]  D. Goleman Emotional Intelligence. New York (Bantam) 1995. , 1995 .

[78]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[79]  Susanne P. Lajoie,et al.  Computers As Cognitive Tools , 2020 .

[80]  Richard J. Gerrig,et al.  Experiencing Narrative Worlds: On the Psychological Activities of Reading , 1993 .

[81]  D. Cicchetti Emotion and Adaptation , 1993 .

[82]  M. Lepper,et al.  Motivational techniques of expert human tutors: Lessons for the design of computer-based tutors. , 1993 .

[83]  S. Makeig,et al.  Lapses in alertness: coherence of fluctuations in performance and EEG spectrum. , 1993, Electroencephalography and clinical neurophysiology.

[84]  Mable B. Kinzie,et al.  Computer Technologies in Teacher Education: The Measurement of Attitudes and Self-Efficacy. , 1993 .

[85]  Edward Branigan Narrative Comprehension and Film , 1992 .

[86]  Leona Schauble,et al.  Scientific Reasoning Across Different Domains , 1992 .

[87]  Heinz Mandl,et al.  Computer-Based Learning Environments and Problem Solving , 1992 .

[88]  R. Lazarus Emotion and Adaptation , 1991 .

[89]  Claude Frasson,et al.  Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education , 1990 .

[90]  J. Bruner Acts of meaning , 1990 .

[91]  Arthur Baskin,et al.  Learning companion systems , 1989 .

[92]  Andrew Ortony,et al.  The Cognitive Structure of Emotions , 1988 .

[93]  Dale H. Schunk,et al.  Enhancing Comprehension Skill and Self-Efficacy with Strategy Value Information , 1987 .

[94]  D. Schunk reflecting positive , 2022 .

[95]  Gordon Wells,et al.  The Meaning Makers: Children Learning Language and Using Language to Learn. First Edition. , 1985 .

[96]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[97]  B. Bloom The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring , 1984 .

[98]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[99]  Thomas W. Malone,et al.  Toward a Theory of Intrinsically Motivating Instruction , 1981, Cogn. Sci..

[100]  P. Ekman,et al.  Facial action coding system: a technique for the measurement of facial movement , 1978 .

[101]  W. Chambers San Antonio, Texas , 1940 .

[102]  J. Stainer,et al.  The Emotions , 1922, Nature.