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[1] Leslie J. Briggs,et al. Principles of Instructional Design , 1974 .
[2] M. Csíkszentmihályi,et al. Optimal experience: Psychological studies of flow in consciousness. , 1988 .
[3] R. Hambleton,et al. Fundamentals of Item Response Theory , 1991 .
[4] M. Kearns,et al. On the complexity of teaching , 1991, COLT '91.
[5] G. Arsac. La transposition didactique à l'épreuve , 1994 .
[6] John R. Anderson,et al. Cognitive Tutors: Lessons Learned , 1995 .
[7] Cristina Conati,et al. Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model , 1998, AAAI/IAAI.
[8] Carol D. Lee. Signifying in the Zone of Proximal Development , 2000 .
[9] E. Deci,et al. Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. , 2000, Contemporary educational psychology.
[10] LuckinRosemary. Designing children's software to ensure productive interactivity through collaboration in the zone of proximal development (ZPD) , 2001 .
[11] E. Lutton,et al. Artificial Ant Colonies and E-Learning : An Optimisation of Pedagogical Paths , 2002 .
[12] Peter Auer,et al. The Nonstochastic Multiarmed Bandit Problem , 2002, SIAM J. Comput..
[13] John R. Anderson,et al. Knowledge tracing: Modeling the acquisition of procedural knowledge , 2005, User Modeling and User-Adapted Interaction.
[14] Kenneth R. Koedinger,et al. Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement , 2006, Intelligent Tutoring Systems.
[15] Jürgen Schmidhuber,et al. Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts , 2006, Connect. Sci..
[16] Pierre-Yves Oudeyer,et al. Discovering communication , 2006, Connect. Sci..
[17] J. Beck. Difficulties in inferring student knowledge from observations ( and why you should care ) , 2007 .
[18] Kenneth R. Koedinger,et al. Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor through Educational Data Mining , 2007, AIED.
[19] Joseph E. Beck,et al. Identifiability: A Fundamental Problem of Student Modeling , 2007, User Modeling.
[20] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[21] Pierre-Yves Oudeyer,et al. In Search of the Neural Circuits of Intrinsic Motivation , 2007, Front. Neurosci..
[22] Pierre-Yves Oudeyer,et al. What is Intrinsic Motivation? A Typology of Computational Approaches , 2007, Frontiers Neurorobotics.
[23] S. Engeser,et al. Flow, performance and moderators of challenge-skill balance , 2008 .
[24] Russell G. Almond,et al. You Can't Fatten A Hog by Weighing It - Or Can You? Evaluating an Assessment for Learning System Called ACED , 2008, Int. J. Artif. Intell. Educ..
[25] Vincent Aleven,et al. More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing , 2008, Intelligent Tutoring Systems.
[26] Steven J. M. Jones,et al. Circos: an information aesthetic for comparative genomics. , 2009, Genome research.
[27] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[28] Csaba Szepesvári,et al. Exploration-exploitation tradeoff using variance estimates in multi-armed bandits , 2009, Theor. Comput. Sci..
[29] Thomas Zeugmann,et al. Recent Developments in Algorithmic Teaching , 2009, LATA.
[30] Arthur C. Graesser,et al. Toward Spoken Human–Computer Tutorial Dialogues , 2010, Hum. Comput. Interact..
[31] Stuart J. Russell,et al. RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains , 2010, UAI.
[32] Jacqueline Bourdeau,et al. Advances in Intelligent Tutoring Systems , 2010 .
[33] Tiffany Barnes,et al. Using Markov Decision Processes for Automatic Hint , 2010 .
[34] Kurt VanLehn,et al. Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies , 2011, User Modeling and User-Adapted Interaction.
[35] Wei Chu,et al. A contextual-bandit approach to personalized news article recommendation , 2010, WWW '10.
[36] Thomas L. Griffiths,et al. Faster Teaching by POMDP Planning , 2011, AIED.
[37] Kenneth R. Koedinger,et al. Using Contextual Factors Analysis to Explain Transfer of Least Common Multiple Skills , 2011, AIED.
[38] V. Shute. SteAlth ASSeSSment in computer-BASed GAmeS to Support leArninG , 2011 .
[39] Kurt VanLehn,et al. Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions , 2011, EDM.
[40] Michel C. Desmarais. Performance comparison of item-to-item skills models with the IRT single latent trait model , 2011, UMAP'11.
[41] M. P. Jacob Habgood,et al. Motivating Children to Learn Effectively: Exploring the Value of Intrinsic Integration in Educational Games , 2011 .
[42] Matthai Philipose,et al. Towards a Physical and Personal Math Coin Tutoring System , 2011, AIED.
[43] Jack Mostow,et al. Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models , 2012, EDM.
[44] Didier Roy. Usage d'un robot pour la rem ediation en math ematiques , 2012 .
[45] Thomas L. Griffiths,et al. Inferring learners' knowledge from observed actions , 2012, EDM.
[46] Manuel Lopes,et al. Algorithmic and Human Teaching of Sequential Decision Tasks , 2012, AAAI.
[47] Emma Brunskill,et al. The Impact on Individualizing Student Models on Necessary Practice Opportunities , 2012, EDM.
[48] Sébastien Bubeck,et al. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems , 2012, Found. Trends Mach. Learn..
[49] Pierre-Yves Oudeyer,et al. The strategic student approach for life-long exploration and learning , 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).
[50] Anna N. Rafferty,et al. ChemVLab+: Evaluating a Virtual Lab Tutor for High School Chemistry , 2012, ICLS.
[51] Pierre-Yves Oudeyer,et al. Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress , 2012, NIPS.
[52] Ryan Shaun Joazeiro de Baker,et al. New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization , 2013, AI Mag..
[53] Neil T. Heffernan,et al. Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes , 2013, AIED.
[54] Pierre-Yves Oudeyer,et al. Information-seeking, curiosity, and attention: computational and neural mechanisms , 2013, Trends in Cognitive Sciences.
[55] Joseph E. Beck,et al. Limits to accuracy: how well can we do at student modeling? , 2013, EDM.
[56] Pierre-Yves Oudeyer,et al. Active learning of inverse models with intrinsically motivated goal exploration in robots , 2013, Robotics Auton. Syst..
[57] Marco Mirolli,et al. Intrinsically Motivated Learning in Natural and Artificial Systems , 2013 .
[58] Arvid Kappas,et al. Towards Empathic Virtual and Robotic Tutors , 2013, AIED.
[59] Alessandro Lazaric,et al. Sequential Transfer in Multi-armed Bandit with Finite Set of Models , 2013, NIPS.
[60] Pierre-Yves Oudeyer,et al. Online Optimization of Teaching Sequences with Multi-Armed Bandits , 2014, EDM.
[61] Peter Brusilovsky,et al. General Features in Knowledge Tracing: Applications to Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge , 2014 .
[62] D. Berlyne. Conflict, arousal, and curiosity , 2014 .
[63] Zachary A. Pardos,et al. A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing , 2014, EDM.
[64] Vincent Aleven,et al. Intelligent Tutoring Goes To School in the Big City , 1997 .