Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing E-learning

Computers have transformed every facet of our culture, most dramatically communication, transportation, finance, science, and the economy. Yet their impact has not been generally felt in education due to lack of hardware, teacher training, and sophisticated software. Another reason is that current instructional software is neither truly responsive to student needs nor flexible enough to emulate teaching. The more instructional software can reason about its own teaching process, know what it is teaching, and which method to use for teaching, the greater is its impact on education. Building Intelligent Interactive Tutors discusses educational systems that assess a student's knowledge and are adaptive to a student's learning needs. Dr. Woolf taps into 20 years of research on intelligent tutors to bring designers and developers a broad range of issues and methods that produce the best intelligent learning environments possible, whether for classroom or life-long learning. The book describes multidisciplinary approaches to using computers for teaching, reports on research, development, and real-world experiences, and discusses intelligent tutors, web-based learning systems, adaptive learning systems, intelligent agents and intelligent multimedia. *Combines both theory and practice to offer most in-depth and up-to-date treatment of intelligent tutoring systems available *Presents powerful drivers of virtual teaching systems, including cognitive science, artificial intelligence, and the Internet *Features algorithmic material that enables programmers and researchers to design building components and intelligent systems

[1]  Alejandro Sierra,et al.  Reclassification as Supervised Clustering , 2000, Neural Computation.

[2]  L. Vygotsky.  Mind in Society: The Development of Higher Psychological Processes: Harvard University Press , 1978 .

[3]  Cristina Conati,et al.  Inferring user goals from personality and behavior in a causal model of user affect , 2003, IUI '03.

[4]  John R. Anderson,et al.  Cognitive principles in the design of computer tutors , 1984 .

[5]  J. Kelly.  Science for All Americans (A Project 2061 Report on Literacy Goals in Science, Mathematics, and Technology) American Association for the Advancement of Science , 1990 .

[6]  P N Kizakevich,et al.  The virtual standardized patient. Simulated patient-practitioner dialog for patient interview training. , 2000, Studies in health technology and informatics.

[7]  Kurt VanLehn,et al.  DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions , 2000, Intelligent Tutoring Systems.

[8]  Mark Guzdial,et al.  Recognizing and supporting roles in CSCW , 2000, CSCW '00.

[9]  Carl Bedingfield.  Review of "Spinning the semantic web: Bringing the world wide web to its full potential" edited by Dieter Fensel, James Hendler, Henry Lieberman, and Wolfgang Wahlster, The MIT press , 2003, UBIQ.

[10]  Carole R. Beal,et al.  The effect of interactive media on children's story memory. , 2002 .

[11]  M. David Merrill,et al.  Constructivism and Instructional Design , 1991 .

[12]  H. Becker,et al.  The Influence of Computer and Internet Use on Teachers’ Pedagogical Practices and Perceptions , 1999 .

[13]  Neil T. Heffernan,et al.  Towards Live Informing and Automatic Analyzing of Student Learning: Reporting in ASSISTment System , 2007 .

[14]  W. Clancey.  A Tutorial on Situated Learning , 1995 .

[15]  Antonija Mitrovic,et al.  DB-Suite: Experiences with Three Intelligent, Web-Based Database Tutors. , 2004 .

[16]  Allan Collins,et al.  The goal structure of a socratic tutor , 1977, ACM Annual Conference.

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

[18]  Michael B. Twidale,et al.  Redressing the balance: the advantages of informal evaluation techniques for Intelligent Learning Environments , 1993 .

[19]  Mance E. Harmon,et al.  Reinforcement Learning: A Tutorial. , 1997 .

[20]  Kenneth D. Forbus.  Qualitative Process Theory , 1984, Artif. Intell..

[21]  Chen-Lin C. Kulik,et al.  Educational Outcomes of Tutoring: A Meta-analysis of Findings , 1982 .

[22]  Jean McKendree,et al.  Effective Feedback Content for Tutoring Complex Skills , 1990, Hum. Comput. Interact..

[23]  James C. Lester.  Introduction to the Special Issue on Intelligent User Interfaces , 2001, AI Mag..

[24]  Martha W. Evens,et al.  CIRCSIM-Tutor: An Intelligent Tutoring System Using Natural Language Dialogue , 1997, ANLP.

[25]  Daniel D. Suthers.  A task‐appropriate hybrid architecture for explanation , 1991 .

[26]  Susan M. Williams,et al.  When Computer Technologies Meet the Learning Sciences: Issues and Opportunities , 2000 .

[27]  Paul De Bra,et al.  Teaching Hypertext and Hypermedia through the Web , 1996, J. Univers. Comput. Sci..

[28]  David H. Jonassen,et al.  Handbook of Individual Differences, Learning, and Instruction , 1993 .

[29]  Philip M. Johnson,et al.  Experiences with CLARE: a computer-supported collaborative learning environment , 1994, Int. J. Hum. Comput. Stud..

[30]  Larry Cuban.  Teachers and machines : the classroom use of technology since 1920 , 1986 .

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

[32]  Joaquín Peña,et al.  Facial Expression Recognition and Modeling for Virtual Intelligent Tutoring Systems , 2000, MICAI.

[33]  Sophia Antipolis,et al.  Ontology based user modeling for personalization of grid learning services , 2005, ELeGI Conference.

[34]  Candace L. Sidner,et al.  Attention, Intentions, and the Structure of Discourse , 1986, CL.

[35]  Vincent Aleven,et al.  The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains , 2006, Intelligent Tutoring Systems.

[36]  Andrea A. diSessa,et al.  Changing Minds: Computers, Learning, and Literacy , 2000 .

[37]  J. Padhye,et al.  MANI: Multimiedia Asynchronous Networked Individualized Courseware , 1996 .

[38]  Roger C. Schank,et al.  Active learning through multimedia , 1994, IEEE MultiMedia.

[39]  Licia Calvi,et al.  AHA! An open Adaptive Hypermedia Architecture , 1998, New Rev. Hypermedia Multim..

[40]  Brian J. Reiser,et al.  Why scaffolding should sometimes make tasks more difficult for learners , 2002, CSCL.

[41]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

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

[43]  N. Webb.  Student Interaction and Learning in Small Groups , 1982 .

[44]  Susan E. Newman,et al.  Cognitive Apprenticeship: Teaching the Craft of Reading, Writing, and Mathematics. Technical Report No. 403. , 1987 .

[45]  Kristinn R. Thórisson,et al.  The Power of a Nod and a Glance: Envelope Vs. Emotional Feedback in Animated Conversational Agents , 1999, Appl. Artif. Intell..

[46]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[47]  Siriwan Suebnukarn,et al.  Modeling individual and collaborative problem-solving in medical problem-based learning , 2006, User Modeling and User-Adapted Interaction.

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

[49]  Alejandra Martínez-Monés,et al.  From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning , 2005, Int. J. Artif. Intell. Educ..

[50]  Cynthia Breazeal,et al.  Affective Learning — A Manifesto , 2004 .

[51]  Vincent Aleven,et al.  An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor , 2002, Cogn. Sci..

[52]  Anthony Jameson,et al.  Numerical uncertainty management in user and student modeling: An overview of systems and issues , 2005, User Modeling and User-Adapted Interaction.

[53]  Lucy Suchman.  Plans and situated actions: the problem of human-machine communication , 1987 .

[54]  Chet Meyers,et al.  Promoting Active Learning: Strategies for the College Classroom , 1993 .

[55]  Karl Aberer,et al.  P-Grid: A Self-Organizing Access Structure for P2P Information Systems , 2001, CoopIS.

[56]  Ryan Shaun Joazeiro de Baker,et al.  Detecting Student Misuse of Intelligent Tutoring Systems , 2004, Intelligent Tutoring Systems.

[57]  Peter Brusilovsky,et al.  ELM-ART: An Adaptive Versatile System for Web-based Instruction , 2001 .

[58]  Ann L. Brown,et al.  How people learn: Brain, mind, experience, and school. , 1999 .

[59]  M. S. Bruno,et al.  It's Fun, But Is It Science? Goals and Strategies in a Problem-Based Learning Course , 2000 .

[60]  Carolyn Staudt.  Changing How We Teach and Learn With Handheld Computers , 2004 .

[61]  M. Scardamalia,et al.  Higher Levels of Agency for Children in Knowledge Building: A Challenge for the Design of New Knowledge Media , 1991 .

[62]  M. Barrett,et al.  Strategies to motivate helpless and mastery-oriented children: The effect of gender-based expectancies , 1991 .

[63]  Guy Lapalme.  Review of “Spinning the Semantic Web” by Dieter Fensel, James Hendler, Henry Lieberman and Wolfgang Wahlster (eds) , 2003 .

[64]  John D. Bransford,et al.  A theory-driven approach to assessing the cognitive effects of PBL , 1997 .

[65]  Arthur C. Graesser,et al.  Using Latent Semantic Analysis to Evaluate the Contributions of Students in AutoTutor , 2000, Interact. Learn. Environ..

[66]  Rose Luckin,et al.  Ecolab: the development and evaluation of a Vygotskian design framework , 1999 .

[67]  Jane M. Day.  Plato's Meno In Focus , 1994 .

[68]  Carolyn Penstein Rosé,et al.  Evaluating the Effectiveness of Tutorial Dialogue Instruction in an Exploratory Learning Context , 2006, Intelligent Tutoring Systems.

[69]  Ronald H. Stevens,et al.  Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor , 2004, Intelligent Tutoring Systems.

[70]  Richard E. Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

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

[72]  Joshua Radinsky,et al.  The progress Portfolio: promoting reflective inquiry in complex investigation environments , 1997, CSCL.

[73]  W. Doise.  The social development of the intellect , 1984 .

[74]  Jan Herrington,et al.  An instructional design framework for authentic learning environments , 2000 .

[75]  Jeffrey G. Bonar,et al.  An object-oriented architecture for intelligent tutoring systems , 1986, OOPSLA 1986.

[76]  Kurt VanLehn,et al.  Toward a theory of impasse-driven learning , 1988 .

[77]  William M. Lively,et al.  Using a neural network to predict student responses , 1992, SAC '92.

[78]  J. Frederiksen,et al.  Enabling Students to Construct Theories of Collaborative Inquiry and Reflective Learning: Computer Support for Metacognitive Development , 1999 .

[79]  Paul Baran,et al.  On Distributed Communications , 1964 .

[80]  Peter Brusilovsky,et al.  Adaptive Navigation Support: From Adaptive Hypermedia to the Adaptive Web and Beyond , 2004, PsychNology J..

[81]  Tak-Wai Chan.  Humanity-Based Classroom: Teaching is Caring and Learning is Joyful , 2007, AIED.

[82]  M. Lepper,et al.  Intrinsic Motivation and instruction: conflicting Views on the Role of Motivational Processes in Computer-Based Education , 1985 .

[83]  Joseph E. Beck,et al.  Piagetian Psychology in Intelligent Tutoring Systems , 2009 .

[84]  Kris Van Marcke,et al.  GTE: An Epistemological Approach to Instructional Modelling. , 1998 .

[85]  Paul A. Kirschner,et al.  Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research , 2003, Comput. Hum. Behav..

[86]  Vincent Aleven,et al.  Defining "Ill-Defined Domains"; A literature survey. , 2006 .

[87]  Walter J. Ong,et al.  Ramus, Method, and the Decay of Dialogue: From the Art of Discourse to the Art of Reason , 2005 .

[88]  John M. Keller,et al.  Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation , 2001 .

[89]  Gerald Tesauro,et al.  TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play , 1994, Neural Computation.

[90]  Rana El Kaliouby,et al.  Viewing Student Affect and Learning through Classroom Observation and Physical Sensors , 2008, Intelligent Tutoring Systems.

[91]  J. Dewey.  Experience and Education , 1938 .

[92]  Tom M. Mitchell,et al.  Does Machine Learning Really Work? , 1997, AI Mag..

[93]  Antonija Mitrovic,et al.  Tailoring Feedback by Correcting Student Answers , 2000, Intelligent Tutoring Systems.

[94]  E. Hobman,et al.  Uncertainty During Organizational Change: Types, Consequences, and Management Strategies , 2003 .

[95]  Valerie J. Shute,et al.  Intelligent Tutoring Systems: Past, Present, and Future. , 1994 .

[96]  Tom Murray,et al.  Authoring Intelligent Tutoring Systems: An analysis of the state of the art , 1999 .

[97]  Anthony Jameson,et al.  When actions have consequences: empirically based decision making for intelligent user interfaces , 2001, Knowl. Based Syst..

[98]  Peter Brusilovsky,et al.  ADAPTS: Adaptive hypermedia for a Web-based performance support system , 1999 .

[99]  Dana E. Sims,et al.  Is there a “Big Five” in Teamwork? , 2005 .

[100]  Etienne Wenger,et al.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

[101]  Elliot Soloway,et al.  Having a Genuine Impact on Teaching and Learning - Today and Tomorrow , 2004, Intelligent Tutoring Systems.

[102]  Cristina Conati,et al.  Using Bayesian Networks to Manage Uncertainty in Student Modeling , 2002, User Modeling and User-Adapted Interaction.

[103]  Tim O'Shea,et al.  The black box inside the glass box: presenting computing concepts to novices , 1999, Int. J. Hum. Comput. Stud..

[104]  Andrew R. Molnar.  Computers in education: a historical perspective of the unfinished task , 1990 .

[105]  S. Narciss.  The impact of informative tutoring feedback and self-efficacy on motivation and achievement in concept learning. , 2004, Experimental psychology.

[106]  P. L. Brusilovskiy,et al.  The construction and application of student models in intelligent tutoring systems , 1994 .

[107]  D. Jonassen.  Objectivism versus constructivism: Do we need a new philosophical paradigm? , 1991 .

[108]  K. Smith.  Cooperative learning: Making “groupwork” work , 1996 .

[109]  Ian Foster,et al.  The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.

[110]  Wouter van Joolingen,et al.  Design and implementation of simulation-based discovery environments: the SMISLE solution , 1996 .

[111]  Joseph E. Beck,et al.  Gaining Confidence in Mathematics: Instructional Technology for Girls , 2000 .

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

[113]  Chen-Lin C. Kulik,et al.  The Instructional Effect of Feedback in Test-Like Events , 1991 .

[114]  Leopold E. Klopfer,et al.  The role of inquiry in science education: Analysis and recommendations , 1981 .

[115]  Tak-Wai Chan,et al.  Learning companion systems, social learning systems, and the global social learning club , 1996 .

[116]  James F. Allen.  Natural language understanding , 1987, Bejnamin/Cummings series in computer science.

[117]  R. Slavin.  Research on Cooperative Learning: Consensus and Controversy. , 1990 .

[118]  B. Rothbaum,et al.  Virtual reality exposure therapy for Vietnam veterans with posttraumatic stress disorder. , 2001, The Journal of clinical psychiatry.

[119]  Craig D. B. Boyle,et al.  Metadoc: An Adaptive Hypertext Reading System , 1994 .

[120]  Joseph P. Magliano,et al.  Collaborative dialogue patterns in naturalistic one-to-one tutoring , 1995 .

[121]  Mary Anderson,et al.  Computer-Based Technology and Learning: Evolving Uses and Expectations. Revised Edition. , 2000 .

[122]  Takashi Yamauchi,et al.  Learning from human tutoring , 2001, Cogn. Sci..

[123]  Shaaron Ainsworth.  Evaluation methods for learning environments , 2005, AIED.

[124]  Stephanie D. Teasley,et al.  The Construction of Shared Knowledge in Collaborative Problem Solving , 1995 .

[125]  Janet Ward Schofield,et al.  Artificial Intelligence in the Classroom: The Impact of a Computer-Based Tutor on Teachers and Students , 1990 .

[126]  W. Schultz.  Getting Formal with Dopamine and Reward , 2002, Neuron.

[127]  Beverly Park Woolf,et al.  OWL: An Integrated Web-based Learning Environment , 1999 .

[128]  R. Cytowič.  Synesthesia: A Union of the Senses , 1989 .

[129]  Hasmik Mehranian,et al.  Evaluating the Feasibility of Learning Student Models from Data , 2005 .

[130]  Elaine Rich,et al.  User Modeling via Stereotypes , 1998, Cogn. Sci..

[131]  Jack Mostow,et al.  Can a Computer Listen for Fluctuations in Reading Comprehension? , 2007, AIED.

[132]  Alfred Kobsa,et al.  Privacy-enhanced personalization , 2006, FLAIRS.

[133]  Daniel D. Suthers,et al.  Coaching Web-based Collaborative Learning based on Problem Solution Differences and Participation , 2003, Int. J. Artif. Intell. Educ..

[134]  Peter Brusilovsky,et al.  Distributed intelligent tutoring on the web , 1997 .

[135]  Stephen J. Payne,et al.  Algebra Mal‐Rules and Cognitive Accounts of Error , 1990 .

[136]  James C. Lester,et al.  The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents? , 2001 .

[137]  J. Bruner.  Actual minds, possible worlds , 1985 .

[138]  Phil Vahey,et al.  Leveraging Handhelds to Increase Student Learning: Engaging Middle School Students with the Mathematics of Change , 2004, ICLS.

[139]  K. Rayner.  Eye movements in reading and information processing: 20 years of research. , 1998, Psychological bulletin.

[140]  Rosemary Luckin,et al.  Capability, potential and collaborative assistance , 1999 .

[141]  Peter Brusilovsky,et al.  ELM-ART: An Intelligent Tutoring System on World Wide Web , 1996, Intelligent Tutoring Systems.

[142]  K. Koedinger,et al.  PAT Goes to College: Evaluating a Cognitive Tutor for Developmental Mathematics , 1996, ICLS.

[143]  Joseph E. Beck,et al.  Does Learner Control Affect Learning? , 2007, AIED.

[144]  Kalina Yacef,et al.  Educational Data Mining: a Case Study , 2005, AIED.

[145]  James C. Lester,et al.  Achieving Affective Impact: Visual Emotive Communication in Lifelike Pedagogical Agents , 1999 .

[146]  Jacqueline Bourdeau,et al.  Making Learning Design Standards Work with an Ontology of Educational Theories , 2005, AIED.

[147]  Tom Murray,et al.  Authoring Tools for Advanced Technology Learning Environments , 2003 .

[148]  Carson Reynolds,et al.  The HandWave Bluetooth Skin Conductance Sensor , 2005, ACII.

[149]  Beverly Park Woolf,et al.  Coaching Within a Domain Independent Inquiry Environment , 2006, Intelligent Tutoring Systems.

[150]  Judy Kay,et al.  Learner Know Thyself: Student Models to Give Learner Control and Responsibility , 1997 .

[151]  Stephanie D. Teasley.  Constructing a Joint Problem Space: The Computer as a Tool for Sharing Knowledge , 1993 .

[152]  Julita Vassileva,et al.  A Multi-Agent Design of a Peer- Help Environment , 1999 .

[153]  Arthur C. Graesser,et al.  Intelligent Tutoring Systems with Conversational Dialogue , 2001, AI Mag..

[154]  Christopher Rhodes Eliot.  An intelligent tutoring system based upon adaptive simulation , 1996 .

[155]  Joseph Krajcik,et al.  Creating an inquiry-learning environment using the World Wide Web , 1996 .

[156]  Beverly Park Woolf,et al.  Evaluating Inquiry Learning Through Recognition-Based Tasks , 2005, AIED.

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

[158]  B. Rothbaum,et al.  A controlled study of virtual reality exposure therapy for the fear of flying. , 2000, Journal of consulting and clinical psychology.

[159]  Susan Bull,et al.  Alternative Views on Knowledge: Presentation of Open Learner Models , 2004, Intelligent Tutoring Systems.

[160]  Beverly Park Woolf,et al.  Critical Thinking Environments for Science Education , 2005, AIED.

[161]  Aurora Vizcaíno,et al.  An Adaptive, Collaborative Environment to Develop Good Habits in Programming , 2000, Intelligent Tutoring Systems.

[162]  Beverly Park Woolf,et al.  Web-Based Intelligent Multimedia Tutoring for High Stakes Achievement Tests , 2004, Intelligent Tutoring Systems.

[163]  Ralph Chatham,et al.  Report of the Defense Science Board Task Force on Training Superiority & Training Surprise , 2001 .

[164]  J. Piaget.  How children form mathematical concepts. , 1953 .

[165]  Ronald H. Stevens,et al.  Implementing a Layered Analytic Approach For Real-Time Modeling of Students' Scientific Understanding , 2005, AIED.

[166]  Robert Tibshirani,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.

[167]  W. Lewis Johnson,et al.  Tutoring Diagnostic Problem Solving , 2000, Intelligent Tutoring Systems.

[168]  C. F. Herreid.  Case Studies in Science--A Novel Method of Science Education. , 1994 .

[169]  William J. Clancey,et al.  Knowledge-based tutoring: the GUIDON program , 1987 .

[170]  John Seely Brown,et al.  Diagnostic Models for Procedural Bugs in Basic Mathematical Skills , 1978, Cogn. Sci..

[171]  Joseph Krajcik,et al.  ARTEMIS: learner-centered design of an information seeking environment for K-12 education , 1998, CHI.

[172]  C. Dweck,et al.  A social-cognitive approach to motivation and personality , 1988 .

[173]  Allen Munro,et al.  Authoring Simulation-Centered Tutors with RIDES , 1997 .

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

[175]  Marlene Scardamalia,et al.  Computer-Supported Intentional Learning Environments , 1989 .

[176]  D. Wood.  Scaffolding, contingent tutoring and computer-supported learning , 2001 .

[177]  Cristina Conati,et al.  Modeling Students' Emotions from Cognitive Appraisal in Educational Games , 2002, Intelligent Tutoring Systems.

[178]  Daniel D. Suthers.  Providing multiple views of reasoning for explanation. , 1988 .

[179]  Antonija Mitrovic,et al.  Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor , 2002, User Modeling and User-Adapted Interaction.

[180]  Siriwan Suebnukarn,et al.  A collaborative intelligent tutoring system for medical problem-based learning , 2004, IUI '04.

[181]  Joseph E. Beck,et al.  Using Rollouts to Induce a Policy from a User Model , 2001, User Modeling.

[182]  Eugene Charniak,et al.  Statistical language learning , 1997 .

[183]  J. Shea.  National Science Education Standards , 1995 .

[184]  R. Mayer.  Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. , 2004, The American psychologist.

[185]  Daniel D. Suthers,et al.  An analysis of explanation and its implications for the design of explanation planners , 1993 .

[186]  Jack Mostow,et al.  A Prototype Reading Coach that Listens , 1994, AAAI.

[187]  A. Cawsey.  Book Reviews: Participating in Explanatory Dialogues: Interpreting and Responding to Questions in Context , 1995, CL.

[188]  David E. Hawley,et al.  Costs, Effects, and Utility of Microcomputer Assisted Instruction in the Classroom , 1990 .

[189]  A. Ellington.  A Meta-Analysis of the Effects of Calculators on Students' Achievement and Attitude Levels in Precollege Mathematics Classes , 2003 .

[190]  S. Singh,et al.  Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System , 2011, J. Artif. Intell. Res..

[191]  Elaine Rich.  Users are individuals: individualizing user models , 1999, Int. J. Hum. Comput. Stud..

[192]  Heinz Ulrich Hoppe,et al.  One-to-One Technology-Enhanced Learning: an Opportunity for Global Research Collaboration , 2006, Res. Pract. Technol. Enhanc. Learn..

[193]  Claude Frasson,et al.  A Comparison of Three Learning Strategies in Intelligent Tutoring Systems , 1996 .

[194]  Carol S. Dweck,et al.  Motivational processes affecting learning. , 1986 .

[195]  Susan McRoy,et al.  Links: what is an intelligent tutoring system? , 2000, INTL.

[196]  Leo C. Ureel,et al.  VModel: A Visual Qualitative Modeling Environment for Middle-school Students , 2004, AI Mag..

[197]  Kurt VanLehn,et al.  Conceptual and Meta Learning During Coached Problem Solving , 1996, Intelligent Tutoring Systems.

[198]  Joseph Bates,et al.  The role of emotion in believable agents , 1994, CACM.

[199]  Valerie J. Shute,et al.  Principles for Evaluating Intelligent Tutoring Systems. , 1993 .

[200]  Ramanathan V. Guha,et al.  Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project , 1990 .

[201]  John A. Self,et al.  Student Models in Computer-Aided Instruction , 1974, Int. J. Man Mach. Stud..

[202]  Antonija Mitrovic.  Large-scale deployment of three intelligent web-based database tutors , 2006, 28th International Conference on Information Technology Interfaces, 2006..

[203]  Ashish Kapoor,et al.  Real-time, fully automatic upper facial feature tracking , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[204]  Tak-Wai Chan.  Social design of network learning society , 2002, International Conference on Computers in Education, 2002. Proceedings..

[205]  Chen-Lin C. Kulik,et al.  Effectiveness of computer-based instruction: An updated analysis. , 1991 .

[206]  Vincent Aleven,et al.  Tutoring Answer Explanation Fosters Learning with Understanding , 1999 .

[207]  F. Reif,et al.  Teaching scientific thinking skills: Students and computers coaching each other , 1999 .

[208]  V. Shute.  Focus on Formative Feedback , 2007 .

[209]  W. Lewis Johnson,et al.  Iterative Evaluation of a Large-Scale, Intelligent Game for Language Learning , 2005, AIED.

[210]  Rainer Stiefelhagen,et al.  Tracking focus of attention in meetings , 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

[211]  Cristina Conati,et al.  Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model , 1998, AAAI/IAAI.

[212]  Laura Wenk,et al.  Improving science learning: Inquiry-based and traditional first -year college science curricula , 2000 .

[213]  Michael Yacci.  A grounded theory of student choice in information-rich learning environments , 1994 .

[214]  Tanja Mitrovic,et al.  Constraint-based tutors: a success story , 2001, AIED.

[215]  James J. Kaput,et al.  Authentic Inquiry With Data: Critical Barriers to Classroom Implementation , 1992 .

[216]  Carolyn Penstein Rosé,et al.  The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing , 2002, Intelligent Tutoring Systems.

[217]  Henry L. Tosi.  A Theory of Goal Setting and Task Performance , 1991 .

[218]  Kurt VanLehn,et al.  Applications of simulated students: an exploration , 1994 .

[219]  Guy Gouardères,et al.  Simulation and Multi-agent Environment for Aircraft Learning , 2000, AIMSA.

[220]  S. Marsella,et al.  Interactive Pedagogical Drama for Health Interventions , 2003 .

[221]  J. Greeno.  On Claims That Answer the Wrong Questions , 1997 .

[222]  Claude Frasson,et al.  LANCA: A Distance Learning Architecture Based on Networked Cognitive Agents , 1998, Intelligent Tutoring Systems.

[223]  Neil T. Heffernan,et al.  A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance , 2007, Intelligent Educational Machines.

[224]  Antonija Mitrovic,et al.  Evaluating the Effects of Open Student Models on Learning , 2002, AH.

[225]  Lora Aroyo,et al.  The New Challenges for E-learning: The Educational Semantic Web , 2004, J. Educ. Technol. Soc..

[226]  Bill Graham.  The world in your pocket : using Pocket Book computers for IT , 1997 .

[227]  John R. Anderson,et al.  Tracing Eye Movement Protocols with Cognitive Process Models , 1998 .

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

[229]  Roy D. Pea,et al.  Seeing What We Build Together: Distributed Multimedia Learning Environments for Transformative Communications , 1994 .

[230]  Arthur C. Graesser,et al.  Simulating Human Tutor Dialog Moves in AutoTutor , 2001 .

[231]  John R. Anderson,et al.  Knowledge tracing: Modeling the acquisition of procedural knowledge , 2005, User Modeling and User-Adapted Interaction.

[232]  Jack Mostow,et al.  Is ASR accurate enough for automated reading tutors, and how can we tell? , 2006, INTERSPEECH.

[233]  Masayuki Numao,et al.  Discovering Error Classes from Discrepancies in Novice Behaviors Via Multistrategy Conceptual Clustering , 2004, User Modeling and User-Adapted Interaction.

[234]  Peter Brusilovsky,et al.  ISIS-TUTOR: AN ADAPTIVE HYPERTEXT LEARNING ENVIRONMENT , 1994 .

[235]  P. Hietala,et al.  The Competence of Learning Companion Agents , 1997 .

[236]  Jaime R Carbonell,et al.  Mixed-initiative man-computer instructional dialogues , 1970 .

[237]  Jacqueline Bourdeau,et al.  Collaborative Ontological Engineering of Instructional Design Knowledge for an ITS Authoring Environment , 2002, Intelligent Tutoring Systems.

[238]  B. Joyce,et al.  Student Achievement Through Staff Development , 1988 .

[239]  Cristina Conati,et al.  Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments , 2006, IUI '06.

[240]  Abdolhossein Sarrafzadeh,et al.  Making sense of student use of nonverbal cues for intelligent tutoring systems , 2005, OZCHI.

[241]  Irfan A. Essa,et al.  Detecting and tracking eyes by using their physiological properties, dynamics, and appearance , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[242]  Gerry Stahl,et al.  Group Cognition: Computer Support for Building Collaborative Knowledge (Acting with Technology) , 2006 .

[243]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993 .

[244]  Cindy E. Hmelo-Silver,et al.  Collaborative ways of knowing: issues in facilitation , 2002, CSCL.

[245]  Jane Hunter,et al.  Next Generation Search Interfaces - Interactive Data Exploration and Hypothesis Formulation , 2004, ECDL.

[246]  Joseph E. Beck,et al.  Using the Student Model to Control Problem Difficulty , 1997 .

[247]  Vincent Aleven,et al.  A Tutorial Dialogue System with Knowledge-Based Understanding and Classification of Student Explanations , 2001 .

[248]  D. Kuhn.  THE SKILLS OF ARGUMENT , 2008, Education for Thinking.

[249]  Giyoo Hatano,et al.  Sharing cognition through collective comprehension activity , 1991, Perspectives on socially shared cognition.

[250]  David W. Johnson,et al.  Pedagogies of Engagement: Classroom‐Based Practices , 2005 .

[251]  Kurt VanLehn,et al.  Andes: An Intelligent Tutor for Classical Physics , 2000 .

[252]  James C. Lester,et al.  The persona effect: affective impact of animated pedagogical agents , 1997, CHI.

[253]  R. Atkinson,et al.  A comparison of paired-associate learning models having different acquisition and retention axioms , 1964 .

[254]  Liliana Ardissono,et al.  Dynamic Generation of Adaptive Web Catalogs , 2000, AH.

[255]  M. Cole,et al.  Cognitive Development: Its Cultural and Social Foundations , 1976 .

[256]  Gerry Stahl,et al.  WEBGUIDE: Guiding Collaborative Learning on the Web with Perspectives , 1999 .

[257]  J. Eccles,et al.  Age and gender differences in children's self- and task perceptions during elementary school. , 1993, Child development.

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

[259]  Alexander Zelinsky,et al.  Real-time visual recognition of facial gestures for human-computer interaction , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[260]  Shaaron Ainsworth,et al.  Applying the DeFT Framework to the Design of Multi-Representational Instructional Simulations , 2001 .

[261]  Marcia C. Linn,et al.  Designing the Knowledge Integration Environment , 2000 .

[262]  Clinical-Reasoning Skill Acquisition through Intelligent Group Tutoring , 2005, IJCAI.

[263]  Jim Reye.  Two-Phase Updating of Student Models Based on Dynamic Belief Networks , 1998, Intelligent Tutoring Systems.

[264]  S. Ashford.  Feedback-Seeking in Individual Adaptation: A Resource Perspective , 1986 .

[265]  James D. Hollan,et al.  STEAMER: An Interactive Inspectable Simulation-Based Training System , 1984, AI Mag..

[266]  Robert J. Dufresne,et al.  The Effect of Web-Based Homework on Test Performance in Large Enrollment Introductory Physics Courses , 2002 .

[267]  Michael Wooldridge,et al.  Proceedings of the second international joint conference on autonomous agents and multiagent systems (AAMAS) , 2003 .

[268]  Stephen Potter,et al.  COLLABORATION IN THE SEMANTIC GRID: A BASIS FOR e-LEARNING , 2005, Appl. Artif. Intell..

[269]  Mladen A. Vouk,et al.  Experimental Analysis of the Q-Matrix Method in Knowledge Discovery , 2005, ISMIS.

[270]  Kurt VanLehn,et al.  A Decision-Theoretic Architecture for Selecting Tutorial Discourse Actions , 2001 .

[271]  F. Paas,et al.  Cognitive Architecture and Instructional Design , 1998 .

[272]  Daniel D. Suthers,et al.  An integrated approach to implementing collaborative inquiry in the classroom , 1997, CSCL.

[273]  Paul Brna,et al.  Supporting the use of external representation in problem solving: the need for flexible learning environments , 1995 .

[274]  Rodger W. Bybee,et al.  Piaget for educators , 1976 .

[275]  A. Kluger,et al.  The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. , 1996 .

[276]  Gerhard Weiss,et al.  Multiagent Systems , 1999 .

[277]  Nicu Sebe,et al.  Emotion recognition using a Cauchy Naive Bayes classifier , 2002, Object recognition supported by user interaction for service robots.

[278]  Beverly Park Woolf,et al.  A General Platform for Inquiry Learning , 2002, Intelligent Tutoring Systems.

[279]  K. J. Cairns,et al.  Negative Effects of Praise on Skilled Performance , 1990 .

[280]  Jack Mostow,et al.  Giving Help and Praise in a Reading Tutor with Imperfect Listening--Because Automated Speech Recognition Means Never Being Able to Say You're Certain , 2013, CALICO Journal.

[281]  John R. Anderson,et al.  Automated Eye-Movement Protocol Analysis , 2001, Hum. Comput. Interact..

[282]  Robert J. Mislevy,et al.  The role of probability-based inference in an intelligent tutoring system , 2005, User Modeling and User-Adapted Interaction.

[283]  Stephanie D. Teasley,et al.  Perspectives on socially shared cognition , 1991 .

[284]  Robert D. Tennyson,et al.  The Minnesota adaptive instructional system: An Intelligent CBI system , 1984 .

[285]  Bert Bredeweg,et al.  Student Modelling: The Key to Individualized Knowledge-Based Instruction , 2010, NATO ASI Series.

[286]  Jie-Chi Yang,et al.  Wireless and mobile technologies to enhance teaching and learning , 2003, J. Comput. Assist. Learn..

[287]  Peggy A. Ertmer,et al.  Behaviorism, Cognitivism, Constructivism: Comparing Critical Features From an Instructional Design Perspective , 2008 .

[288]  Beverly Park Woolf,et al.  Inferring learning and attitudes from a Bayesian Network of log file data , 2005, AIED.

[289]  Theo J. Bastiaens,et al.  The impact of intrinsic motivation on e-learning in authentic computer tasks , 2004, J. Comput. Assist. Learn..

[290]  Douglas N. Gordin,et al.  Changing how and what children learn in school with computer-based technologies. , 2000, The Future of children.

[291]  Frederick P. Brooks.  What's Real About Virtual Reality? , 1999, IEEE Computer Graphics and Applications.

[292]  Peter Dayan,et al.  A Neural Substrate of Prediction and Reward , 1997, Science.

[293]  Beverly Park Woolf,et al.  On-line Tutoring for Math Achievement Testing: A Controlled Evaluation , 2007 .

[294]  Raymund Sison,et al.  Student Modeling and Machine Learning , 1998 .

[295]  J Block,et al.  On the relation between IQ, impulsivity, and delinquency: remarks on the Lynam, Moffitt, and Stouthamer-Loeber (1993) interpretation. , 1995, Journal of abnormal psychology.

[296]  Julita Vassileva,et al.  Lessons Learned in Deploying a Multi-Agent Learning Support System: The I-Help Experience , 2001 .

[297]  Jack Mostow,et al.  Automated Vocabulary Instruction in a Reading Tutor , 2006, Intelligent Tutoring Systems.

[298]  Douglas B. Millar,et al.  Building a Case for Agent-Assisted Learning as a Catalyst for Curriculum Reform in Medical Education , 2000 .

[299]  Flávia de Almeida Barros,et al.  Analyzing On-Line Collaborative Dialogues: The OXEnTCHÊ-Chat , 2004, Intelligent Tutoring Systems.

[300]  Nigel Major,et al.  REDEEM: Exploiting Symbiosis Between Psychology and Authoring Environments , 1997 .

[301]  Mitchel Resnick,et al.  Turtles, termites, and traffic jams - explorations in massively parallel microworlds , 1994 .

[302]  H. Ulrich Hoppe,et al.  Deductive error diagnosis and inductive error generalization for intelligent tutoring systems , 1994 .

[303]  Stacy Marsella,et al.  Tactical Language Training System: An Interim Report , 2004, Intelligent Tutoring Systems.

[304]  Mark Guzdial,et al.  Teaching the Nintendo generation to program , 2002, CACM.

[305]  Joseph E. Beck,et al.  Using Knowledge Tracing in a Noisy Environment to Measure Student Reading Proficiencies , 2006, Int. J. Artif. Intell. Educ..

[306]  Thomas Andre,et al.  The Effect of a Prior Dissection Simulation on Middle School Students' Dissection Performance and Understanding of the Anatomy and Morphology of the Frog , 1999 .

[307]  Claude Frasson,et al.  Analyzing a new learning strategy according to different knowledge levels , 1996, Comput. Educ..

[308]  Ok-choon Park,et al.  Intelligent CAI: Old wine in new bottles, or a new vintage? , 1987 .

[309]  R. Atkinson.  Optimizing learning from examples using animated pedagogical agents. , 2002 .

[310]  Elliot Soloway,et al.  Log on education: teachers and technology: easing the way , 2000, CACM.

[311]  Ashish Kapoor,et al.  A real-time head nod and shake detector , 2001, PUI '01.

[312]  Christine Youngblut,et al.  Educational Uses of Virtual Reality Technology. , 1998 .

[313]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[314]  Daniel C. Edelson.  When Should a Cheetah Remind You of a Bat? Reminding in Case-Based Teaching , 1992, AAAI.

[315]  Frank R. Yekovich,et al.  The Influence of Domain Knowledge on Inferencing In Low-Aptitude Individuals , 1990 .

[316]  Michael I. Jordan.  Learning in Graphical Models , 1999, NATO ASI Series.

[317]  Beverly Park Woolf,et al.  Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels , 2006, Intelligent Tutoring Systems.

[318]  Antonija Mitrovic,et al.  Optimising ITS Behaviour with Bayesian Networks and Decision Theory , 2001 .

[319]  Kurt VanLehn,et al.  Human Procedural Skill Acquisition: Theory, Model and Psychological Validation , 1983, AAAI.

[320]  Steffen Staab,et al.  Mining Ontologies from Text , 2000, EKAW.

[321]  Geoffrey I. Webb,et al.  Feature Based Modelling: A methodology for producing coherent, consistent, dynamically changing models of agents' competencies , 2005, User Modeling and User-Adapted Interaction.

[322]  Douglas M. Towne.  Approximate Reasoning Techniques for Intelligent Diagnostic Instruction , 1997 .

[323]  John R. Anderson,et al.  Cognitive Modeling and Intelligent Tutoring , 1990, Artif. Intell..

[324]  John R. Anderson,et al.  A Development System for Model-Tracing Tutors , 2008 .

[325]  Etienne Wenger,et al.  Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge , 1987 .

[326]  R. Owston.  Research news and Comment: The World Wide Web: A Technology to Enhance Teaching and Learning? , 1997 .

[327]  Antonija Mitrovic,et al.  Experiences in Implementing Constraint-Based Modeling in SQL-Tutor , 1998, Intelligent Tutoring Systems.

[328]  Stephen M. Alessi,et al.  Multimedia for Learning: Methods and Development , 2000 .

[329]  Daniel D. Suthers,et al.  Automated Advice-Giving Strategies for Scientific Inquiry , 1996, Intelligent Tutoring Systems.

[330]  John A. Self,et al.  LeCS: A Collaborative Case Study System , 2000, Intelligent Tutoring Systems.

[331]  A. Renkl.  Worked-out examples: instructional explanations support learning by self- explanations , 2002 .

[332]  Sandra Katz,et al.  Modeling the Student in Sherlock II , 1992 .

[333]  Kasia Muldner,et al.  Exploring Eye Tracking to Increase Bandwidth in User Modeling , 2005, User Modeling.

[334]  Antonija Mitrovic,et al.  KERMIT: A Constraint-Based Tutor for Database Modeling , 2002, Intelligent Tutoring Systems.

[335]  Stuart C. Shapiro,et al.  Encyclopedia of artificial intelligence, vols. 1 and 2 (2nd ed.) , 1992 .

[336]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

[337]  Beverly Park Woolf,et al.  A Simulation-Based Tutor that Reasons about Multiple Agents , 1996, AAAI/IAAI, Vol. 1.

[338]  Jack Mostow,et al.  Demonstration of a reading coach that listens , 1995, UIST '95.

[339]  Clifford Nass,et al.  The media equation - how people treat computers, television, and new media like real people and places , 1996 .

[340]  William John Clancey,et al.  Transfer of rule-based expertise through a tutorial dialogue , 1979 .

[341]  D. Osborne,et al.  Reinventing Government: How the En-trepreneurial Spirit is Transforming the Public Sector , 1992 .

[342]  Susan J. Ashford,et al.  Reflections on the Looking Glass: A Review of Research on Feedback-Seeking Behavior in Organizations: , 2003 .

[343]  Jeremy Roschelle,et al.  THE NATURE AND FUTURE OF CLASSROOM CONNECTIVITY: THE DIALECTICS OF MATHEMATICS IN THE SOCIAL SPACE , 2002 .

[344]  N. Granott,et al.  Beyond One-Dimensional Change: Parallel, Concurrent, Socially Distributed Processes in Learning and Development , 1995 .

[345]  Jack Mostow,et al.  Some useful tactics to modify, map and mine data from intelligent tutors , 2006, Natural Language Engineering.

[346]  Annemarie S. Palincsar,et al.  Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning , 1991 .

[347]  Etienne Wenger,et al.  Situated Learning: Legitimate Peripheral Participation , 1991 .

[348]  C. Beal.  Boys and Girls: The Development of Gender Roles , 1993 .

[349]  Carson Jonathan Reynolds,et al.  The sensing and measurement of frustration with computers , 2001 .

[350]  David Wood,et al.  There is more than one way to solve a problem: Evaluating a learning environment that supports the development of children's multiplication skills , 1998 .

[351]  Stottler Henke,et al.  Scenario-based Multi-Level Learning for Counterterrorism Intelligence Analysis , 2006 .

[352]  Ben Shneiderman,et al.  Designing the user interface (2nd ed.): strategies for effective human-computer interaction , 1992 .

[353]  Carolyn Penstein Rosé,et al.  ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner , 2000, Intelligent Tutoring Systems.

[354]  John Sweller,et al.  Cognitive technology: Some procedures for facilitating learning and problem solving in mathematics and science. , 1989 .

[355]  Timothy Koschmann,et al.  Using Technology to Assist in Realizing Effective Learning and Instruction: A Principled Approach to the Use of Computers in Collaborative Learning , 1994 .

[356]  Eugene Charniak,et al.  Bayesian Networks without Tears , 1991, AI Mag..

[357]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[358]  Valerie J. Shute,et al.  A Large-Scale Evaluation of an Intelligent Discovery World: Smithtown , 1990, Interact. Learn. Environ..

[359]  Judy Kay,et al.  The Big Five and Visualisations of Team Work Activity , 2006, Intelligent Tutoring Systems.

[360]  Andrew W. Moore,et al.  Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..

[361]  James A. Hendler,et al.  The Semantic Web" in Scientific American , 2001 .

[362]  Mia Stern,et al.  Adaptive Content in an Online Lecture System , 2000, AH.

[363]  H. Gardner.  Multiple intelligences : the theory in practice , 1993 .

[364]  J. R. Larson,et al.  Information Pooling: When It Impacts Group Decision Making , 1998 .

[365]  P. Dillenbourg.  What do you mean by collaborative learning , 1999 .

[366]  Ashish Kapoor,et al.  Automatic prediction of frustration , 2007, Int. J. Hum. Comput. Stud..

[367]  Marcia C. Linn.  Cognition and distance learning , 1996 .

[368]  K. Williams,et al.  An intelligent learning environment for advanced cardiac life support. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[369]  Jacqueline Bourdeau,et al.  Selecting Theories in an Ontology-Based ITS Authoring Environment , 2004, Intelligent Tutoring Systems.

[370]  Antonija Mitrovic,et al.  Evaluation of a Constraint-Based Tutor for a Database Language , 1999 .

[371]  Hao Yan,et al.  More than just a pretty face: conversational protocols and the affordances of embodiment , 2001, Knowl. Based Syst..

[372]  Shelley V. Goldman.  Computer resources for supporting student conversations about science concepts , 1992, SCOU.

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

[374]  Carolyn Penstein Rosé,et al.  A framework for robust semantic interpretation , 2000 .

[375]  James C. Lester,et al.  Lifelike Pedagogical Agents for Mixed-initiative Problem Solving in Constructivist Learning Environments , 2004, User Modeling and User-Adapted Interaction.

[376]  B. Reiser,et al.  Cognitive and Motivational Consequences of Tutoring and Discovery Learning , 1998 .

[377]  Neil T. Heffernan,et al.  An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor , 2002, Intelligent Tutoring Systems.

[378]  Jack Mostow,et al.  Adding Human-Provided Emotional Scaffolding to an Automated Reading Tutor That Listens Increases Student Persistence , 2002, Intelligent Tutoring Systems.

[379]  Daniel D. Suthers,et al.  Steps from Explanation Planning to Model Construction Dialogues , 1992, AAAI.

[380]  Haym Hirsh,et al.  Extending Domain Theories: Two Case Studies in Student Modeling , 1990, Machine Learning.

[381]  M. Chi,et al.  Eliciting Self‐Explanations Improves Understanding , 1994 .

[382]  Gwen Littlewort,et al.  Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction. , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

[383]  James J. Duderstadt,et al.  Transforming the University To Serve the Digital Age. , 1998 .

[384]  John R. Anderson,et al.  The LISP tutor: it approaches the effectiveness of a human tutor , 1985 .

[385]  Jeff Conklin,et al.  Hypertext: An Introduction and Survey , 1987, Computer.

[386]  Herbert A. Simon,et al.  BACON.5: The Discovery of Conservation Laws , 1981, IJCAI.

[387]  John R. Anderson,et al.  Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor , 1992, Intelligent Tutoring Systems.

[388]  Tom Murray,et al.  Toward Measuring and Maintaining the Zone of Proximal Development in Adaptive Instructional Systems , 2002, Intelligent Tutoring Systems.

[389]  Julita Vassileva,et al.  Supporting Peer Help and Collaboration in Distributed Workplace Environments , 1998 .

[390]  C. Howe,et al.  Conceptual knowledge in physics: The role of group interaction in computer-supported teaching , 1992 .

[391]  Michael J. Baker,et al.  Promoting reflective interactions in a CSCL environment , 1997, J. Comput. Assist. Learn..

[392]  P. Chandler,et al.  Why Some Material Is Difficult to Learn , 1994 .

[393]  James F. Voss,et al.  Learning From History Text: The Interaction of Knowledge and Comprehension Skill with Text Structure , 1996 .

[394]  Igor Kononenko,et al.  Machine learning for medical diagnosis: history, state of the art and perspective , 2001, Artif. Intell. Medicine.

[395]  R. Bowen Loftin,et al.  Human-Computer Interactions in shared virtual environments , 1999, HCI.

[396]  Jack Mostow,et al.  Towards a Reading Coach that Listens: Automated Detection of Oral Reading Errors , 1993, AAAI.

[397]  Valerie J. Shute,et al.  SMART: Student modeling approach for responsive tutoring , 1995, User Modeling and User-Adapted Interaction.

[398]  S. Weghorst,et al.  Virtual reality and tactile augmentation in the treatment of spider phobia: a case report. , 1997, Behaviour research and therapy.

[399]  Eric Horvitz,et al.  Display of Information for Time-Critical Decision Making , 1995, UAI.

[400]  Mitsuru Ikeda,et al.  A model of computer-supported collaborative learning: opportunistic group formation , 1999, Systems and Computers in Japan.

[401]  Elsebeth K. Sorensen,et al.  Intellectual amplification through reflection and didactic change in distributed collaborative learning , 1999, CSCL.

[402]  Jan Herrington,et al.  Critical characteristics of situated learning: Implications for the instructional design of multimedia , 1995 .

[403]  Vincent Aleven,et al.  A Tutorial Dialog System to Support Self- Explanation: Evaluation and Open Questions , 2003 .

[404]  M. Linn,et al.  Learning and Instruction: An Examination of Four Research Perspectives in Science Education , 1988 .

[405]  Peter Brusilovsky,et al.  Adaptive Hypermedia: From Intelligent Tutoring Systems to Web-Based Education , 2000, Intelligent Tutoring Systems.

[406]  Oliver G. Selfridge,et al.  The Gardens of Learning: A Vision for AI , 1993, AI Mag..

[407]  Matthew W. Lewis,et al.  Self-Explonations: How Students Study and Use Examples in Learning to Solve Problems , 1989, Cogn. Sci..

[408]  D. Perkins,et al.  Individual and Social Aspects of Learning , 1998 .

[409]  Seymour Papert,et al.  Mindstorms: Children, Computers, and Powerful Ideas , 1981 .

[410]  Raymond J. Mooney,et al.  A Novel Application of Theory Refinement to Student Modeling , 1996, AAAI/IAAI, Vol. 1.

[411]  James C. Lester,et al.  Coherent gestures, locomotion, and speech in life-like pedagogical agents , 1998, IUI '98.

[412]  M. Csíkszentmihályi.  Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. , 1990 .

[413]  David Allbritton,et al.  Tutoring Bilingual Students with an Automated Reading Tutor that Listens , 2007 .

[414]  John R. Anderson,et al.  Dynamic Student Modelling in an Intelligent Tutor for LISP Programming , 1985, IJCAI.

[415]  William J. Clancey,et al.  NEOMYCIN: Reconfiguring a Rule-Based Expert System for Application to Teaching , 1981, IJCAI.

[416]  Ora Lassila,et al.  WEB METADATA : A Matter of Semantics , 1998 .

[417]  Sharon M. Carver,et al.  Cognitive objectives in a LOGO debugging curriculum: Instruction, learning, and transfer , 1988, Cognitive Psychology.

[418]  Joseph E. Beck,et al.  Reasoning from Data Rather than Theory , 2000, FLAIRS Conference.

[419]  Susan Mengel,et al.  On the use of neural networks in intelligent tutoring systems , 1991 .

[420]  Jim Kurose,et al.  Computer Networking: A Top-Down Approach (6th Edition) , 2007 .

[421]  Roy D. Pea,et al.  Addressing the Challenges of Inquiry-Based Learning Through Technology and Curriculum Design , 1999 .

[422]  Kurt VanLehn,et al.  The Andes Physics Tutoring System: Lessons Learned , 2005, Int. J. Artif. Intell. Educ..

[423]  James C. Lester,et al.  Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies , 1996, AAAI/IAAI, Vol. 1.

[424]  B. Herbelin,et al.  Virtual reality exposure therapy for social phobia , 2005 .

[425]  Reva Freedman,et al.  Generating and Revising Hierarchical Multi-turn Text Plans in an ITS , 1996, Intelligent Tutoring Systems.

[426]  Kurt VanLehn,et al.  Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach , 2004, Int. J. Artif. Intell. Educ..

[427]  H. Gardner,et al.  Frames of Mind: The Theory of Multiple Intelligences , 1983 .

[428]  Kurt VanLehn,et al.  Andes: A Coached Problem Solving Environment for Physics , 2000, Intelligent Tutoring Systems.

[429]  Leonard Kleinrock,et al.  Communication Nets: Stochastic Message Flow and Delay , 1964 .

[430]  Benedict du Boulay,et al.  Implementation of motivational tactics in tutoring systems , 1995 .

[431]  Rosalind W. Picard,et al.  An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion , 2001, Proceedings IEEE International Conference on Advanced Learning Technologies.

[432]  Beverly Park Woolf,et al.  Repairing Disengagement With Non-Invasive Interventions , 2007, AIED.

[433]  Marlene Scardamalia,et al.  Computer Support for Knowledge-Building Communities , 1994 .

[434]  Jack T. Dennerlein,et al.  FRUSTRATING COMPUTERS USERS INCREASES EXPOSURE TO PHYSICAL FACTORS , 2002 .

[435]  David N. Perkins,et al.  Technology Meets Constructivism: Do They Make a Marriage? , 1991 .

[436]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[437]  Roy D. Pea,et al.  Distributed Multimedia Learning Environments: Why and How? , 1992, Interact. Learn. Environ..

[438]  Andrew S. Grove,et al.  Only the Paranoid Survive: How to Exploit the Crisis Points that Challenge Every Company and Career , 1996 .

[439]  Eric Horvitz,et al.  The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users , 1998, UAI.

[440]  Pierluigi Ritrovato,et al.  SERVICES, SEMANTICS, AND STANDARDS: ELEMENTS OF A LEARNING GRID INFRASTRUCTURE , 2005, Appl. Artif. Intell..

[441]  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 .

[442]  Nir Friedman,et al.  Learning Belief Networks in the Presence of Missing Values and Hidden Variables , 1997, ICML.

[443]  Roy D. Pea,et al.  The CoVis Project: Building a Large-Scale Science Education Testbed , 1998, Interact. Learn. Environ..

[444]  R. Rosenthal,et al.  Pygmalion in the classroom , 1968 .

[445]  Jim Reye,et al.  Student Modelling Based on Belief Networks , 2004, Int. J. Artif. Intell. Educ..

[446]  Gerry Stahl,et al.  Meaning and Interpretation in Collaboration , 2003, CSCL.

[447]  Carolyn Penstein Rosé,et al.  Fading and Deepening: The Next Steps for Andes and other Model-Tracing Tutors , 2000, Intelligent Tutoring Systems.

[448]  William J. Clancey,et al.  From Guidon to Neomycin and Heracles in Twenty Short Lessons: ORN Final Report 1979-1985 , 1986, AI Mag..

[449]  J. Lave.  Cognition in Practice: Outdoors: a social anthropology of cognition in practice , 1988 .

[450]  Sharon J. Derry,et al.  Fostering Students' Statistical and Scientific Thinking: Lessons Learned From an Innovative College Course , 2000 .

[451]  Carlo Tasso,et al.  Tense Generation in an Intelligent Tutor for Foreign Language Teaching: Some Issues in the Design of the Verb Expert , 1989, EACL.

[452]  M. Felisa Verdejo,et al.  Collaborative environments for the learning of design: a model and a case study in Domotics , 2006, Comput. Educ..

[453]  Susan Bull,et al.  20000 Inspections of a Domain-Independent Open Learner Model with Individual and Comparison Views , 2006, Intelligent Tutoring Systems.

[454]  Martin V. Covington,et al.  Task-oriented versus competitive learning structures: Motivational and performance consequences. , 1984 .

[455]  Daniel D. Suthers,et al.  The effects of representation on students' elaborations in collaborative inquiry , 2002, CSCL.

[456]  Jacqueline Bourdeau,et al.  Using Ontological Engineering to Overcome Common AI-ED Problems , 2000 .

[457]  Cristina Conati,et al.  Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation , 2000, Intelligent Tutoring Systems.

[458]  James C. Lester,et al.  Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments , 2000 .

[459]  Mike Sharples,et al.  The design of personal mobile technologies for lifelong learning , 2000, Comput. Educ..

[460]  Peter Brusilovsky,et al.  User as Student: Towards an Adaptive Interface for Advanced Web-Based Applications , 1997 .

[461]  Torben Steeg,et al.  Growth in Internet connection and use in British secondary schools 1997-9: current practice in and implications for teaching and learning in design and technology , 2000 .

[462]  Gautam Biswas,et al.  Developing Learning by Teaching Environments That Support Self-Regulated Learning , 2004, Intelligent Tutoring Systems.

[463]  Jianying Hu,et al.  Writer independent on-line handwriting recognition using an HMM approach , 2000, Pattern Recognit..

[464]  Antonija Mitrovic,et al.  A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling , 2003, User Modeling.

[465]  W. Lewis Johnson.  Interaction tactics for socially intelligent pedagogical agents , 2003, IUI '03.

[466]  Robert E. Kahn,et al.  A Protocol for Packet Network Intercommunication , 1974 .

[467]  Julita Vassileva,et al.  Goal-Based Autonomous Social Agents: Supporting Adaptation and Teaching in a Distributed Environment , 1998, Intelligent Tutoring Systems.

[468]  Joseph Krajcik,et al.  Portable Technologies: Science Learning in Context. Innovations in Science Education and Technology. , 2001 .

[469]  Peter Brusilovsky,et al.  Web-Based Education for All: A Tool for Development Adaptive Courseware , 1998, Comput. Networks.

[470]  Shoshana Zuboff,et al.  In the Age of the Smart Machine: The Future of Work and Power , 1989 .

[471]  A. Graesser,et al.  Question Asking During Tutoring , 1994 .

[472]  Contents , 2013, Physiology & Behavior.

[473]  Michael L. Begeman,et al.  gIBIS: a hypertext tool for exploratory policy discussion , 1988, CSCW '88.

[474]  S. McQuiggan,et al.  An Inductive Approach to Modeling Affective Reasoning in Interactive Synthetic Agents , 2005 .

[475]  John R. Anderson,et al.  Rules of the Mind , 1993 .

[476]  Annemarie S. Palincsar,et al.  Group processes in the classroom. , 1996 .

[477]  Robert P. Goldman,et al.  A Bayesian Model of Plan Recognition , 1993, Artif. Intell..

[478]  J. Piaget,et al.  Memory and intelligence , 1973 .

[479]  Raymond J. Mooney,et al.  Refinement-based student modeling and automated bug library construction , 1996 .

[480]  Edmund H. Durfee,et al.  Coherent Cooperation Among Communicating Problem Solvers , 1987, IEEE Transactions on Computers.

[481]  Daniel D. Suthers,et al.  Effects of alternate representations of evidential relations on collaborative learning discourse , 1999, CSCL.

[482]  Judy Kay,et al.  The justified user model: A viewable explained user model , 2003 .

[483]  Vannevar Bush,et al.  As we may think , 1945, INTR.

[484]  James M. Royer,et al.  Math-Fact Retrieval as the Cognitive Mechanism Underlying Gender Differences in Math Test Performance. , 1999, Contemporary educational psychology.

[485]  John Scott.  Social Network Analysis , 1988 .

[486]  John R. Anderson.  The Architecture of Cognition , 1983 .

[487]  Beverly Park Woolf,et al.  A Dynamic Mixture Model to Detect Student Motivation and Proficiency , 2006, AAAI.

[488]  M. Casey,et al.  The Influence of Spatial Ability on Gender Differences in Mathematics College Entrance Test Scores across Diverse Samples. , 1995 .

[489]  Ian T. Foster,et al.  The Anatomy of the Grid: Enabling Scalable Virtual Organizations , 2001, Int. J. High Perform. Comput. Appl..

[490]  Neil T. Heffernan,et al.  Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration , 2004, Intelligent Tutoring Systems.

[491]  Leona Schauble,et al.  Students' Understanding of the Objectives and Procedures of Experimentation in the Science Classroom , 1995 .

[492]  I. E. Allen,et al.  Making the Grade: Online Education in the United States, 2006. , 2006 .

[493]  Herbert A. Simon,et al.  Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987 .

[494]  J. Gregory Trafton,et al.  Effective Tutoring Techniques: A Comparison of Human Tutors and Intelligent Tutoring Systems , 1992 .

[495]  Frank Puppe,et al.  Evaluation of a Knowledge-Based Tutorial Program in Rheumatology - A Part of mandatory Course in Internal Medicine , 1996, Intelligent Tutoring Systems.

[496]  R. Glaser,et al.  Knowing What Students Know: The Science and Design of Educational Assessment , 2001 .

[497]  Christian Viard-Gaudin,et al.  Statistical Language Models for On-Line Handwriting Recognition , 2005, IEICE Trans. Inf. Syst..

[498]  M. Lepper,et al.  Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. , 1996 .

[499]  Kurt VanLehn,et al.  Repair Theory: A Generative Theory of Bugs in Procedural Skills , 1980, Cogn. Sci..

[500]  Candace L. Sidner,et al.  Collaborative Discourse Theory as a Foundation for Tutorial Dialogue , 2002, Intelligent Tutoring Systems.

[501]  Valerie J. Shute,et al.  What does the computer contribute to learning , 1994 .

[502]  Hector J. Levesque,et al.  Knowledge Representation and Reasoning , 2004 .

[503]  Jennifer A. Fredricks,et al.  Inquiry in Project-Based Science Classrooms: Initial Attempts by Middle School Students , 1998 .

[504]  Amy Soller,et al.  Computational Modeling and Analysis of Knowledge Sharing in Collaborative Distance Learning , 2004, User Modeling and User-Adapted Interaction.

[505]  W. Lewis Johnson,et al.  Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control , 1999, Appl. Artif. Intell..

[506]  Martha C. Polson,et al.  Foundations of intelligent tutoring systems , 1988 .

[507]  John R. Anderson,et al.  The automated tutoring of introductory computer programming , 1986, CACM.

[508]  Joseph E. Beck,et al.  ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction , 2000, AAAI/IAAI.

[509]  J. F Rischard,et al.  High noon : twenty global problems, twenty years to solve them , 2002 .

[510]  Julita Vassileva,et al.  Multi-Agent Multi-User Modeling in I-Help , 2003, User Modeling and User-Adapted Interaction.

[511]  John R. Anderson,et al.  The Transfer of Cognitive Skill , 1989 .

[512]  D. Suthers,et al.  Mapping to know: The effects of evidence maps and reflective assessment on scientific inquiry skills. , 2002 .

[513]  Tom Murray,et al.  An Overview of Intelligent Tutoring System Authoring Tools: Updated Analysis of the State of the Art , 2003 .

[514]  Jim E. Greer,et al.  Combining ITS and eLearning Technologies: Opportunities and Challenges , 2006, Intelligent Tutoring Systems.

[515]  Pierre Dillenbourg,et al.  Collaborative Learning: Cognitive and Computational Approaches , 1999 .

[516]  J. Michael Spector,et al.  Designing Collaborative Distance Learning Environments for Complex Domains , 1999 .

[517]  Michael L. Littman,et al.  Measuring praise and criticism: Inference of semantic orientation from association , 2003, TOIS.

[518]  Jim E. Greer,et al.  The VCR Tutor: Effective Instruction for Device Operation , 1995 .

[519]  Wendy Hall,et al.  Ending the tyranny of the button , 1994, IEEE MultiMedia.

[520]  Martin Mühlenbrock,et al.  Action-based collaboration analysis for group learning , 2001, DISKI.

[521]  Herbert H. Clark,et al.  Contributing to Discourse , 1989, Cogn. Sci..

[522]  John R. Anderson,et al.  Cognitive Tutors: Lessons Learned , 1995 .

[523]  Beverly Park Woolf,et al.  TOWARD LEARNING GRID INFRASTRUCTURES: AN OVERVIEW OF RESEARCH ON GRID LEARNING SERVICES , 2005, Appl. Artif. Intell..

[524]  S. P. Corder.  THE SIGNIFICANCE OF LEARNER'S ERRORS , 1967 .

[525]  Andrew Lane,et al.  From Teaching to Learning: Technological Potential and Sustainable, Supported Open Learning , 1998 .

[526]  Albert A. Angehrn,et al.  Using conversational agents to support the adoption of knowledge sharing practices , 2003, Interact. Comput..

[527]  Derek Sleeman,et al.  Pixie: a shell for developing intelligent tutoring systems , 1987 .

[528]  Joseph Krajcik,et al.  Log on education: Handheld devices are ready-at-hand , 2001, CACM.

[529]  D. C. Merrill,et al.  Tutoring: Guided Learning by Doing , 1995 .

[530]  R H Stevens,et al.  Artificial neural networks as adjuncts for assessing medical students' problem solving performances on computer-based simulations. , 1993, Computers and biomedical research, an international journal.

[531]  Horst Bunke,et al.  Recognition of cursive Roman handwriting: past, present and future , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..