What can Automated Planning do for Intelligent Tutoring Systems ?
暂无分享,去创建一个
Subbarao Kambhampati | Tathagata Chakraborti | Sachin Grover | S. Kambhampati | T. Chakraborti | Sachin Grover
[1] Rachel K. E. Bellamy,et al. Mr. Jones - Towards a Proactive Smart Room Orchestrator , 2017, AAAI Fall Symposia.
[2] R. Hambleton,et al. Fundamentals of Item Response Theory , 1991 .
[3] Subbarao Kambhampati,et al. Balancing Explicability and Explanation in Human-Aware Planning , 2017, AAAI Fall Symposia.
[4] Kurt VanLehn,et al. Learning Science by Constructing Models: Can Dragoon Increase Learning without Increasing the Time Required? , 2015, International Journal of Artificial Intelligence in Education.
[5] Kurt VanLehn,et al. Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach , 2004, Int. J. Artif. Intell. Educ..
[6] Kurt VanLehn,et al. A Comparison of Decision-Theoretic, Fixed-Policy and Random Tutorial Action Selection , 2006, Intelligent Tutoring Systems.
[7] Elliot Aronson,et al. Cooperation in the Classroom: The Jigsaw Method , 2011 .
[8] Yu Zhang,et al. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy , 2017, IJCAI.
[9] Carol K. K. Chan,et al. Information Processing Approaches to Collaborative Learning , 2013 .
[10] S. Kambhampati,et al. Plan Explicability for Robot Task Planning , 2010 .
[11] Jörg Hoffmann,et al. Ordered Landmarks in Planning , 2004, J. Artif. Intell. Res..
[12] Craig A. Knoblock,et al. PDDL-the planning domain definition language , 1998 .
[13] R. Givan,et al. Landmark Extraction via Planning Graph Propagation , 2003 .
[14] Arthur C. Graesser,et al. AutoTutor: an intelligent tutoring system with mixed-initiative dialogue , 2005, IEEE Transactions on Education.
[15] Patrick Jermann,et al. Classroom orchestration: The third circle of usability , 2011, CSCL.
[16] Antonija Mitrovic,et al. An Intelligent SQL Tutor on the Web , 2003, Int. J. Artif. Intell. Educ..
[17] Subbarao Kambhampati,et al. Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation , 2018, ICAPS.
[18] Kenneth R. Koedinger,et al. Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor , 2017, International Journal of Artificial Intelligence in Education.
[19] Hector Geffner,et al. Plan Recognition as Planning , 2009, IJCAI.
[20] Sailik Sengupta,et al. RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning , 2017, AAAI Fall Symposia.
[21] E. Aronson,et al. The Jigsaw Classroom: Building Cooperation in the Classroom , 1997 .
[22] Helen M. Doerr,et al. Stella ten years later: A review of the literature , 1996, Int. J. Comput. Math. Learn..
[23] Kurt VanLehn,et al. The Behavior of Tutoring Systems , 2006, Int. J. Artif. Intell. Educ..
[24] Kurt VanLehn,et al. Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics , 2010, Intelligent Tutoring Systems.
[25] Tiffany Barnes,et al. Automatic Hint Generation for Logic Proof Tutoring Using Historical Data , 2010, J. Educ. Technol. Soc..
[26] Albert T. Corbett,et al. The Knowledge-Learning-Instruction (KLI) Framework: Toward Bridging the Science-Practice Chasm to Enhance Robust Student Learning , 2010 .
[27] Kalina Yacef,et al. Does a Peer Recommender Foster Students' Engagement in MOOCs? , 2016, EDM.
[28] Kurt VanLehn,et al. Learning How to Construct Models of Dynamic Systems: An Initial Evaluation of the Dragoon Intelligent Tutoring System , 2017, IEEE Transactions on Learning Technologies.
[29] Richard E. Mayer,et al. Frequency norms and structural analysis of algebra story problems into families, categories, and templates , 1981 .
[30] Malte Helmert,et al. The Fast Downward Planning System , 2006, J. Artif. Intell. Res..
[31] D. Mesch. The Jigsaw Technique: A Way to Establish Individual Accountability in Group Work , 1991 .
[32] Mark J. W. Lee,et al. Social software and participatory learning: Pedagogical choices with technology affordances in the Web 2.0 era , 2007 .
[33] Anastasios Karakostas,et al. Adaptive and Intelligent Systems for Collaborative Learning Support: A Review of the Field , 2011, IEEE Transactions on Learning Technologies.
[34] Yu Zhang,et al. AI Challenges in Human-Robot Cognitive Teaming , 2017, ArXiv.
[35] Michael Eagle,et al. Experimental Evaluation of Automatic Hint Generation for a Logic Tutor , 2011, Int. J. Artif. Intell. Educ..
[36] J. Brown,et al. Minds on Fire: Open Education, the Long Tail, and Learning 2.0 , 2008 .
[37] Alison S. Burke. Group Work: How to Use Groups Effectively , 2011 .
[38] M. Scardamalia,et al. Knowledge Building: Theory, Pedagogy, and Technology , 2006 .
[39] Kurt VanLehn,et al. Andes: A Coached Problem Solving Environment for Physics , 2000, Intelligent Tutoring Systems.
[40] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[41] Hector Geffner,et al. Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners , 2010, AAAI.
[42] Kenneth R. Koedinger,et al. Automatic Generation of Programming Feedback; A Data-Driven Approach , 2013, AIED Workshops.
[43] Sergey Levine,et al. Offline policy evaluation across representations with applications to educational games , 2014, AAMAS.
[44] Kasia Muldner,et al. An Analysis of Gaming Behaviors in an Intelligent Tutoring System , 2010, Intelligent Tutoring Systems.
[45] Yu Zhang,et al. Plan explicability and predictability for robot task planning , 2015, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[46] Kurt VanLehn,et al. Model construction as a learning activity: a design space and review , 2013, Interact. Learn. Environ..
[47] Sandra Katz,et al. Toward More Robust Learning of Physics via Reflective Dialogue Extensions , 2009 .
[48] John R. Anderson,et al. Knowledge tracing: Modeling the acquisition of procedural knowledge , 2005, User Modeling and User-Adapted Interaction.
[49] Sandra Katz,et al. Going Beyond the Problem Given: How Human Tutors Use Post-Solution Discussions to Support Transfer , 2003, Int. J. Artif. Intell. Educ..
[50] Kalina Yacef,et al. Comparing Peer Recommendation Strategies in a MOOC , 2017, UMAP.
[51] Maria Fox,et al. VAL: automatic plan validation, continuous effects and mixed initiative planning using PDDL , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.
[52] Sandra Katz,et al. An Approach to Analyzing the Role and Structure of Reflective Dialogue , 1999 .
[53] K. VanLehn. The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems , 2011 .
[54] Kurt VanLehn,et al. The design and development of the dragoon intelligent tutoring system for model construction: lessons learned , 2017, Interact. Learn. Environ..