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Publications

Papers by year of publication: 

2018

  • Paper (PDF)Basu, S., McElhaney, K., Grover, S., Harris, C., & Biswas, G. (2018) A Principled Approach to Designing Assessments That Integrate Science and Computational Thinking. In Proceedings of the 13th International Conference of the Learning Sciences (ICLS), London, Volume 1, 384-391.
  • Paper (PDF)Basu, S., McElhaney, K., Grover, S., Harris, C., & Biswas, G. (2018) Designing Assessments to Measure Integrated Proficiency With Concepts and Practices in Science and Computational Thinking . In Proceedings of the American Educational Research Association Annual Meeting, New York City, NY.
  • Paper (PDF)Darrah, T., Hutchins, N., & Biswas, G. (2018). Design and Development of a Low-Cost Open-Source Robotics Education Platform. In Proceedings of the 50th International Symposium on Robotics. Munich.
  • Paper (PDF)Hutchins, N., Biswas, G., Maroti, M., Ledeczi, A., & Broll, B. (2018). A design-based approach to a classroom-centered OELE. In Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED), London, 155-159
  • Paper (PDF)Hutchins, N., Darrah, T., Zare, H., & Biswas, G. (2018). A DSML for a Robotics Environment to Support Synergistic Learning of CT and Geometry. Kong, S. C., Sheldon, J., & Li, K. Y.. (Eds.). Conference Proceedings of International Conference on Computational Thinking Education 2018. Hong Kong: The Education University of Hong Kong, 77-82.
  • Paper (PDF)Munshi, A., Rajendran, R., Moore, A., Ocumpaugh, J., & Biswas, G. (2018). Studying the Interactions between Components of Self-Regulated Learning in Open Ended Learning Environments. In Proceedings of the 13th International Conference of the Learning Sciences (ICLS), London.
  • Paper (PDF)Munshi, A., Rajendran, R., Ocumpaugh, J., Biswas, G., Baker, R. S., & Paquette, L. (2018). Modeling Learners Cognitive and Affective States to Scaffold SRL in Open Ended Learning Environments. In Proceedings of the International Conference on User Modelling, Adaptation and Personalization (UMAP), Singapore.
  • Paper (PDF)Rajendran, R., Kumar, A., Carter, K. E., Levin, D. T., & Biswas, G. (2018). Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. In Proceedings of the 11th International Conference on Educational Data Mining (EDM), Buffalo, USA.
  • Paper (PDF)Taub, M., Mudrick, N. V., Rajendran, R., Dong, Y., Biswas, G., & Azevedo, R. (2018). How are students emotions associated with the accuracy of their note taking and summarizing during learning with ITSs?. In Proceedings of the 14th International Conference on Intelligent Tutoring Systems (ITS), Montreal, Canada.
  • Paper (PDF)Zhang, N., & Biswas, G. (2018).Understanding Students’ Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. In Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED), London. 405-410.

2017

  • Paper (PDF)Basu, S., Biswas, G., Kinnebrew, J.S. (2017). Learner modeling for adaptive scaffolding in a Computational Thinking-based science learning environmentUser Modeling and User-Adapted Interaction, 27(1), 5-53.
  • Paper (PDF)Dong, Y., & Biswas, G. (2017). An Extended Learner Modeling Method to Assess Students’ Learning Behaviors. In Proceedings of the 10th International Conference on Educational Data Mining (pp. 302-305). Wuhan, China.
  • Paper (PDF)Emara, M., Tscholl, M., Dong, Y., & Biswas, G. (2017). Analyzing Students’ Collaborative Regulation Behaviors in a Classroom-Integrated Open Ended Learning Environment. In Proceedings of the International Conference on Computer-Supported Collaborative Learning. Philadelphia, PA. 319-326
  • Paper (PDF)Hasan, A., & Biswas, G. (2017). Domain specific modeling language design to support synergistic learning of STEM and computational thinking. Kong, S. C., Sheldon, J., & Li, K. Y.. (Eds.). Conference Proceedings of International Conference on Computational Thinking Education 2017. Hong Kong: The Education University of Hong Kong, 28-33.
  • Paper (PDF)Hutchins, N., Zhang, N., & Biswas, G. (2017). The Role Gender Differences in Computational Thinking Confidence Levels Plays in STEM Applications. Kong, S. C., Sheldon, J., & Li, K. Y.. (Eds.). Conference Proceedings of International Conference on Computational Thinking Education 2017. Hong Kong: The Education University of Hong Kong, 33-38.
  • Paper (PDF)Kinnebrew, J., Segedy, J.R. & Biswas, G. (2017). Integrating Model-Driven and Data-Driven Techniques for Analyzing Learning Behaviors in Open-Ended Learning EnvironmentsIEEE Transactions on Learning Technologies, 10(2), 140-153.
  • Paper (PDF)Kinnebrew, J.S., Killingsworth, S.S., Clark, D.B., Biswas, G., Sengupta, P., Minstrell, J., Martinez-Garza, M. & Krinks, K. (2017). Contextual Markup and Mining in Digital Games for Science Learning: Connecting Player Behaviors to Learning GoalsIEEE Transactions on Learning Technologies, 10(1), 93-103.
  • Paper (PDF)Rajendran, R., Mohammed, N., Biswas, G., Goldberg, B. S., & Sottilare, R. A. (2017). Multi-level User Modeling in GIFT to Support Complex Learning Tasks. In Proceedings of the 5th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym5).
  • Paper (PDF)Zhang, N., Biswas, G., & Dong, Y. (2017). Characterizing Students’ Learning Behaviors Using Unsupervised Learning Methods. In André E., Baker R., Hu X., Rodrigo M., du Boulay B. (Eds.), Artificial Intelligence in Education. AIED 2017. (pp. 430-441). Wuhan, China: Lecture Notes in Computer Science, vol 10331. Springer, Cham.
  • Paper (PDF)Zhang, N. & Biswas, G. (2017). Assessing Students’ Computational Thinking in a Learning by Modeling Environment. Kong, S. C., Sheldon, J., & Li, K. Y.. (Eds.). Conference Proceedings of International Conference on Computational Thinking Education 2017. Hong Kong: The Education University of Hong Kong, 11-16.

2016

  • Paper (PDF)Basu, S. (2016). Fostering Synergistic Learning of Computational Thinking and Middle School Science in Computer-based Intelligent Learning Environments (Doctoral dissertation). Department of EECS, Vanderbilt University, Nashville, TN.
  • Paper (PDF)Basu, S. & Biswas, G. (2016). Providing adaptive scaffolds and measuring their effectiveness in open ended learning environments. In 12th International Conference of the Learning Sciences (pp. 554-561). Singapore.
  • Paper (PDF)Basu, S., Biswas, G. & Kinnebrew, J.S. (2016). Using multiple representations to simultaneously learn computational thinking and middle school science. In Thirtieth AAAI conference on Artificial Intelligence (pp. 3705-3711). Phoenix, Arizona, USA.
  • Paper (PDF)Basu, S., Biswas, G., Sengupta, P., Dickes, A., Kinnebrew, J. S., & Clark, D. (2016). Identifying middle school students’ challenges in computational thinking-based science learningResearch and Practice in Technology Enhanced Learning, 11(1), 1-35.
  • Paper (PDF)Biswas, G., Segedy, J.R., & Bunchongchit, K. (2016). From Design to Implementation to Practice – A Learning by Teaching System: Betty’s BrainInternational Journal of Artificial Intelligence in Education, 26(1), 350-364.
  • Paper (PDF)Clark, D. B., Virk, S., Sengupta, P., Brady, C., Martinez-Garza, M., Krinks, K., Killingsworth, S., Kinnebrew, J., Biswas, G., Barnes, J., Minstrell, J., Nelson, B., Slack, K., & D’Angelo, C. (2016). SURGE’s evolution deeper into formal representations: The siren’s call of popular game-play mechanicsInternational Journal of Designs for Learning, 7(1), 107-146.
  • Paper (PDF)Dong, Y., Kinnebrew, J., Biswas, G. (2016). Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments. In Proceedings of the 9th International Conference on Educational Data Mining (pp. 591-592). Raleigh, North Carolina.
  • Paper (PDF)Gauch, B. & Biswas, G. (2016). Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments. In 13th International Conference on Intelligent Tutoring Systems (pp. 187-196). Zagreb, Croatia.
  • Paper (PDF)Rajendran, R., & Biswas, G. (2016). Modeling Learners’ Metacognitive Skills in Open Ended Learning Environments. In Chen, W. et al. (Ed.), Proceedings of the 24th International Conference on Computers in Education. India: Asia-Pacific Society for Computers in Education.
  • Paper (PDF)Tscholl, M., Biswas, G., Goldberg, B. S., & Sottilare, R. A (2016). Detecting Metacognitive Strategies through Performance Analyses in Open-Ended Learning Environment. In Chen, W. et al. (Ed.), Proceedings of the 24th International Conference on Computers in Education. India: Asia-Pacific Society for Computers in Education.
  • Paper (PDF)Tscholl, M., Biswas, G., Goldberg, B. S., & Sottilare, R. A. (2016). Automated Detection of Cognitive and Metacognitive Strategies for Learner Modeling in GIFT. In Proceedings of the 4th Annual GIFT Users Symposium (GIFTSym4) (pp. 15 – 25).
  • Paper (PDF)Tscholl, M., Rajendran, R., Biswas, G., Goldberg, B. S., & Sottilare, R. A (2016). Data Collection in Open Ended Learning Environment for Learning Analytics. In Chen, W. et al. (Ed.), Workshop Proceedings of the 24th International Conference on Computers in Education. India: Asia-Pacific Society for Computers in Education.

2015

  • Paper (PDF)Basu, S., Biswas, G., Kinnebrew, J., & Rafi, T. (2015). Relations between modeling behavior and learning in a Computational Thinking based science learning environment. In Ogata, H. et al. (Ed.), Proceedings of the 23rd International Conference on Computers in Education (pp. 184-189). China: Asia-Pacific Society for Computers in Education.
  • Paper (PDF)Basu, S., Kinnebrew, J.S., Shekhar, S., Calgar, F., Rafi, T.H., Biswas, G., & Gokhale, A. (2015). Collaborative Problem Solving using a Cloud-based Infrastructure to Support High school STEM Education. In Proceedings of the 122nd ASEE Annual Conference & Exposition. Seattle, WA, USA.
  • Paper (PDF)Basu, S., Sengupta, P., & Biswas, G. (2015). A scaffolding framework to support learning of emergent phenomena using multi-agent based simulation environmentsResearch in Science Education, 45(2), 293-324.
    DOI: 10.1007/s11165-014-9424-z
  • Paper (PDF)Caglar, F., Shekhar S., Gokhale, A., Basu, S., Rafi, T., Kinnebrew, J. & Biswas, G. (2015). Cloud-hosted Simulation-as-a-Service for High School STEM EducationSimulation Modelling Practice and Theory, 58(2), 255-273. doi:10.1016/j.simpat.2015.06.006
  • Paper (PDF)Kinnebrew, J.S., Gauch, B., Segedy, J.R., & Biswas, G. (2015). Studying Student use of Self-Regulated Learning Tools in an Open-Ended Learning Environment. In Proceedings of the 17th International Conference on Artificial Intelligence in Education. Madrid, Spain.
    Lecture Notes in Computer Science Volume 9112, 2015, pp 185-194
  • Paper (PDF)Segedy, J. R., Kinnebrew, J. S., & Biswas, G. (2015). Demonstration: Using GIFT to Support Students’ Understanding of the UrbanSim Counter Insurgency Simulation. In Workshop on Developing a Generalized Intelligent Framework for Tutoring (GIFT): Informing Design through a Community of Practice (p. 54).
  • Paper (PDF)Segedy, J. R., Kinnebrew, J. S., Goldberg, B. S., Sottilare, R. A., & Biswas, G. (2015). Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring. In Foundations of Augmented Cognition (pp. 663-674). Springer International Publishing.
  • Paper (PDF)Segedy, J. R., Kinnebrew, J. S., Goldberg, B. S., Sottilare, R. A., & Biswas, G. (2015). Using GIFT to Model and Support Students’ Metacognition in the UrbanSim Open-Ended Learning Environment. In Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym3) (p. 13).
  • Paper (PDF)Segedy, J.R., Kinnebrew, J.S., & Biswas, G. (2015). Coherence Over Time: Understanding Day-to-Day Changes in Students’ Open-Ended Problem Solving Behaviors. In Proceedings of the 17th International Conference on Artificial Intelligence in Education. Madrid, Spain.
    Lecture Notes in Computer Science Volume 9112, 2015, pp 449-458
  • Paper (PDF)Segedy, J.R., Kinnebrew, J.S., & Biswas, G. (2015). Using Coherence Analysis to Characterize Self-Regulated Learning Behaviours in Open-Ended Learning EnvironmentsJournal of Learning Analytics, 2(1), 13-48.
  • Paper (PDF)Segedy, J.R., Kinnebrew, J.S., Goldberg, B.S., Sottilare, R.A., & Biswas, G. (2015). Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring. In Proceedings of the 17th International Conference on Human-Computer Interaction. Los Angeles, CA, USA.
    In Foundations of Augmented Cognition (pp. 663-674). Springer International Publishing.
  • Paper (PDF)Ye, C., Kinnebrew, J.S., Segedy, J.R., & Biswas, G. (2015). Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. In Proceedings of the 8th International Conference of Educational Data Mining. Madrid, Spain.

2014

  • Paper (PDF)Basu, S., Dukeman, A., Kinnebrew, J., Biswas, G., & Sengupta, P. (2014). Investigating student generated computational models of science. In Proceedings of the 11th International Conference of the Learning Sciences (pp. 1097-1101). Boulder, CO, USA.
  • Paper (PDF)Basu, S., Kinnebrew, J., & Biswas, G. (2014). Assessing student performance in a computational-thinking based science learning environment. In Proceedings of the 12th International Conference on Intelligent Tutoring Systems (pp. 476-481). Honolulu, HI, USA: Springer International Publishing.
  • Paper (PDF)Biswas, G., Kinnebrew, J.S., Segedy, J.R. (2014). Using a Cognitive/Metacognitive Task Model to analyze Students Learning Behaviors. In Proceedings of the 16th International Conference on Human-Computer Interaction. Creta Maris, Heraklion, Crete, Greece.
  • Paper (PDF)Dukeman, A., Shekhar, S., Caglar, F., Gokhale, A., Biswas, G., & Kinnebrew, J.S. (2014). Analyzing Students’ Computational Models as they Learn in STEM Disciplines. In the 121st American Society for Engineering Education Annual Conference & Exposition. Indianapolis, IN.
  • Paper (PDF)Kinnebrew, J. S., Mack, D. L., Biswas, G., & Chang, C. K. (2014). A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over Time. In Pacific-Asia Conference on Knowledge Discovery and Data Mining: PAKDD-2014 (pp. 281-292). Springer, Switzerland.
  • Paper (PDF)Kinnebrew, J.S., Segedy, J.R., & Biswas, G. (2014). Analyzing the Temporal Evolution of Students’ Behaviors in Open-Ended Learning EnvironmentsMetacognition and Learning, 9(2), 187-215.
  • Paper (PDF)Segedy, J.R. (2014). Adaptive Scaffolds in Open-Ended Computer-Based Learning Environments (Doctoral dissertation). Department of EECS, Vanderbilt University, Nashville, TN.
  • Paper (PDF)Segedy, J.R., Biswas, G., & Sulcer, B. (2014). A Model-Based Behavior Analysis Approach for Open-Ended EnvironmentsJournal of Educational Technology & Society, 17(1), 272-282.
  • Paper (PDF)Shekhar, S., Caglar, F., Dukeman, A., Hou, L., Gokhale, A., Kinnebrew, J.S., & Biswas, G. (2014). A Collaborative K-12 STEM Education Framework Using Traffic Flow as a Real-world Challenge Problem. In the 121st American Society for Engineering Education Annual Conference & Exposition. Indianapolis, IN.
  • Paper (PDF)Ye, C., and Biswas, G. (2014). Early Prediction of Student Dropout and Performance in MOOCs using Higher Granularity Temporal InformationJournal of Learning Analytics, 1(3), 169-172.
  • Paper (PDF)Ye, C., Kinnebrew, J.S., & Biswas, G. (2014). Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data. In Proceedings of the 7th International Conference on Educational Data Mining (pp. 389-390). London, UK.

2013

  • Paper (PDF)Basu, S., & Biswas, G. (2013). A Computational Thinking Approach to Learning Middle School Science. In Doctoral Consortium Proceedings of the 16th International Conference on Artificial Intelligence in Education (pp. 920-923). Memphis, TN, USA.
  • Paper (PDF)Basu, S., Dickes, A., Kinnebrew, J.S., Sengupta, P., & Biswas, G. (2013). CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling. In Proceedings of the 5th International Conference on Computer Supported Education (pp. 369-378). Aachen, Germany.
  • Paper (PDF)Biswas, G., Kinnebrew, J.S., & Mack, D.L.C. (2013). How do students’ learning behaviors evolve in scaffolded open-ended learning environments?. In Proceedings of the 21st International Conference on Computers in Education. Bali, Indonesia.
    * Recipient of the Best Paper Award
  • Paper (PDF)Biswas, G., Kinnebrew, J.S., & Segedy, J.R. (2013). Analyzing Students’ Metacognitive Strategies in Open-Ended Learning Environments. In Proceedings of the 35th annual meeting of the Cognitive Science Society. Berlin, Germany.
  • Paper (PDF)Biswas, G., Segedy, J.R., & Kinnebrew, J.S. (2013). Smart Open-Ended Learning Environments that Support Learners’ Cognitive and Metacognitive Processes. In A. Holzinger & G. Pasi (Eds.), Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Vol. 7947. Lecture Notes in Computer Science (pp. 303-310). Springer-Verlag Berlin Heidelberg.
  • Paper (PDF)PosterDickes, A., Sengupta, P., Krishnan, G., & Basu, S. (2013). Thinking Like a Butterfly: Leveraging Students’ Embodied Intuitions in Elementary Ecology Classrooms. In the Annual Conference of the National Association of Research on Science Teaching (NARST 2013). Rio Grande, Puerto Rico.
  • Paper (PDF)Dukeman, A., Caglar, F., Shekhar, S., Kinnebrew, J., Biswas, G., Fisher, D., & Gokhale, A. (2013). Teaching Computational Thinking Skills in C3STEM with Traffic Simulation. In A. Holzinger & G. Pasi (Eds.), Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Vol. 7947. Lecture Notes in Computer Science (pp. 350-357). Springer-Verlag Berlin Heidelberg.
  • Paper (PDF)Gokhale, A., Biswas, G., Sarkar, N., Sastry, S., & Branicky, M. (2013). CPS Laboratory-as-a-Service: Enabling Technology for Readily Accessible and Scalable CPS Education. In Proceedings of the First Workshop on Cyber-Physical Systems Education (CPS-Ed 2013) at Cyber Physical Systems Week. Philadelphia, Pennsylvania, USA.
  • Paper (PDF)Kinnebrew, J., Biswas, G., Sulcer, B., & Taylor, R. (2013). Investigating Self-Regulated Learning in Teachable Agent Environments. In R. Azevedo & V. Aleven (Eds.), International Handbook of Metacognition and Learning Technologies: Vol. 26. Springer International Handbooks of Education (pp. 451-470). New York: Springer.
  • Paper (PDF)Kinnebrew, J.S., Loretz, K.M., & Biswas, G. (2013). A Contextualized, Differential Sequence Mining Method to Derive Students’ Learning Behavior PatternsJournal of Educational Data Mining, 5(1), 190-219.
  • Paper (PDF)Kinnebrew, J.S., Mack, D.L.C., & Biswas, G. (2013). Mining Temporally-Interesting Learning Behavior Patterns. In Proceedings of the 6th International Conference on Educational Data Mining. Memphis, TN, USA.
  • Paper (PDF)Mendiburo, M., Williams, L., Segedy, J.R., & Hasselbring, T. (2013). Towards Automated Support for Small-Group Instruction: Using Data from an ITS to Automatically Group Students. In Proceedings of the Fall 2013 Conference of the Society for Research on Educational Effectiveness. Washington, D.C.. U.S.A..
  • Paper (PDF)Mendiburo, M., Williams, L., Segedy, J.R., Wright, M., Biswas, G., & Hasselbring, T. (2013). An Investigation of the Effect of Competition on the Way Students Engage in Game-Based Deliberate Practice. In Proceedings of the 13th IEEE International Conference on Advanced Learning Technologies. Beijing, China.
  • Paper (PDF)Roscoe, R.D., Segedy, J.R., Sulcer, B., Jeong, H., & Biswas, G. (2013). Shallow Strategy Development in a Teachable Agent Environment Designed to Support Self-Regulated LearningComputers & Education, 62, 286-297.
  • Paper (PDF)Segedy, J.R., Biswas, G., Blackstock, E.F., & Jenkins, A. (2013). Guided Skill Practice as an Adaptive Scaffolding Strategy in Open-Ended Learning Environments. In Proceedings of The 16th International Conference on Artificial Intelligence in Education. Memphis, TN, USA.
  • Paper (PDF)Segedy, J.R., Kinnebrew, J.S., & Biswas, G. (2013). The Effect of Contextualized Conversational Feedback in a Complex Open-Ended Learning EnvironmentEducational Technology Research and Development, 61(1), 71-89.
  • Paper (PDF)SlidesSegedy, J.R., Loretz, K.M., & Biswas, G. (2013). Model-Driven Assessment of Learners in an Open-Ended Learning Environment. In Proceedings of the Third International Conference on Learning Analytics and Knowledge(pp. 200-204). New York, NY: ACM.
  • Paper (PDF)Segedy, J.R., Loretz, K.M., & Biswas, G. (2013). Suggest-Assert-Modify: A Taxonomy of Adaptive Scaffolds in Computer-Based Learning Environments. In Proceedings of the Workshop on Scaffolding in Open-Ended Learning Environments held at the 16th International Conference on Artificial Intelligence in Education. Memphis, TN.
  • Paper (PDF)Sengupta, P., Kinnebrew, J.S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating Computational Thinking with K-12 Science Education Using Agent-based Computation: A Theoretical FrameworkEducation and Information Technologies, 18(2), 351-380.

2012

  • Paper (PDF)Basu, S., Kinnebrew, J., Dickes, A., Farris, A.V., Sengupta, P., Winger, J., & Biswas, G. (2012). A Science Learning Environment using a Computational Thinking Approach. In Proceedings of the 20th International Conference on Computers in Education (pp. 722-729). Singapore.
    * Recipient of the Best Student Paper Award
  • Paper (PDF)Biswas, G., Kinnebrew, J.S., & Segedy, J.R. (2012). Analyzing Student Learning and Metacognitive Processes in a Choice-Rich Science Learning Environment. In the 5th Biennial Meeting of the EARLI Special Interest Group on Metacognition. Milano, Italy.
  • Paper (PDF)Biswas, G., Kinnebrew, J.S., & Segedy, J.R. (2012). Modeling student behaviors in an open-ended learning environment. In V. G. Duffy (Ed.), Advances in Applied Human Modeling and Simulation (pp. 202-211). San Francisco, CA, USA: CRC Press.
  • Paper (PDF)Bouchet, F., Kinnebrew, J.S., Biswas, G., & Azevedo, R. (2012). Identifying Students’ Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. In Proceedings of the 5th International Conference on Educational Data Mining. Chania, Greece.
  • Paper (PDF)Kinnebrew, J.S., & Biswas, G. (2012). Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution. In Proceedings of the 5th International Conference on Educational Data Mining. Chania, Greece.
    * Recipient of the Best Paper Award
  • Paper (PDF)Segedy, J. R., Kinnebrew, J. S., & Biswas, G. (2012). Supporting Student Learning using Conversational Agents in a Teachable Agent Environment. In Proceedings of the 10th International Conference of the Learning Sciences. Sydney, Australia.
  • Paper (PDF)Segedy, J. R., Kinnebrew, J. S., & Biswas, G. (2012). Relating Student Performance to Action Outcomes and Context in a Complex, Choice-Rich Learning Environment. In Proceedings of the 11th International Conference on Intelligent Tutoring Systems. Chania, Greece.
  • Paper (PDF)Sengupta, P., Kinnebrew, J.S., Biswas, G., & Clark, D. (2012). Integrating computational thinking with K-12 science education: A theoretical framework. In 4th International Conference on Computer Supported Education(pp. 40-49). Porto, Portugal.

2011

  • Paper (PDF)Basu, S. & Biswas, G. (2011). A Scaffolding Framework to Support Learning in Multi-Agent Based Simulation Environments. In Doctoral Student Consortium Proceedings of the 19th International Conference on Computers in Education. Chiang Mai, Thailand.
  • Paper (PDF)Basu, S., & Biswas, G. (2011). Multiple Representations to Support Learning of Complex Ecological Processes in Simulation Environments. In Proceedings of the 19th International Conference on Computers in Education. Chiang Mai, Thailand.
  • Paper (PDF)PosterBasu, S., Biswas, G., & Sengupta, P. (2011). Scaffolding to Support Learning of Ecology in Simulation Environments. In Susan Bull and Gautam Biswas (Eds.), Proceedings of The 15th International Conference on Artificial Intelligence in Education. Auckland, New Zealand.
  • Paper (PDF)Kinnebrew, J.S., & Biswas, G. (2011). Modeling and Measuring Self-Regulated Learning in Teachable Agent EnvironmentsJournal of e-Learning and Knowledge Society, 7(2), 19-35.
  • Paper (PDF)Kinnebrew, J.S., & Biswas, G. (2011). Comparative Action Sequence Analysis with Hidden Markov Models and Sequence Mining. In The Knowledge Discovery in Educational Data Workshop at the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. San Diego, CA.
  • Paper (PDF)PosterSegedy, J.R., Kinnebrew, J.S., & Biswas, G. (2011). Investigating the Relationship Between Dialogue Responsiveness and Learning in a Teachable Agent Environment. In Susan Bull and Gautam Biswas (Eds.), Proceedings of The 15th International Conference on Artificial Intelligence in Education. Auckland, New Zealand.
  • Paper (PDF)PosterSegedy, J.R., Kinnebrew, J.S., & Biswas, G. (2011). Modeling Learner’s Cognitive and Metacognitive Strategies in an Open-Ended Learning Environment. In AAAI Fall Symposium on Advances in Cognitive Systems. Arlington, VA.

2010

  • Paper (PDF)Biswas, G., & Sulcer, B. (2010). Visual exploratory data analysis methods to characterize student progress in intelligent learning environments. In 2010 International Conference on Technology for Education (T4E) (pp. 114-121). Mumbai.
  • Paper (PDF)Biswas, G., Jeong, H., Kinnebrew, J., Sulcer, B., & Roscoe, R. (2010). Measuring Self-regulated Learning Skills through Social Interactions in a Teachable Agent EnvironmentResearch and Practice in Technology-Enhanced Learning, 5(2), 123-152.
  • Paper (PDF)Jeong, H., Biswas, G., Johnson, J., & Howard, L. (2010). Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models. In R.S.j.d. Baker, A. Merceron, & P.I. Pavlik Jr. (Eds.), Proceedings of the 3rd International Conference on Educational Data Mining. Pittsburgh.
  • Paper (PDF)Kinnebrew, J., Biswas, G., & Sulcer, B. (2010). Measuring Self-regulated Learning Skills through Social Interactions in a Teachable Agent Environment. In The AAAI Fall Symposium on Cognitive and Metacognitive Educational Systems (MCES).
  • Paper (PDF)PosterSegedy, J., Sulcer, B., & Biswas, G. (2010). Are ILEs Ready for the Classroom? Bringing Teachers into the Feedback Loop. In Proceedings of the 10th International Conference on Intelligent Tutoring Systems (pp. 405-407). Pittsburgh.

2009

  • Paper (PDF)Biswas, G., Roscoe, R., Jeong, H., & Sulcer, B. (2009). Promoting self-regulated learning skills in agent-based learning environments. In Proceedings of the 17th International Conference on Computers in Education. Hong Kong: Asia-Pacific Society for Computers in Education.
    * Recipient of the Best Paper Award
  • Paper (PDF)Linn, J. G., Segedy, J., Jeong, H., Podgursky, B., & Biswas, G. (2009). Reconfigurable architecture for building intelligent learning environments. In Proceedings of the 14th International Conference on Artificial Intelligence in Education (pp. 115-120). Brighton, United Kingdom: IOS Press.
  • Paper (PDF)Schwartz, D. L., Chase, C., Chin, D., Oppezzo, M., Kwong, H., Okita, S., Biswas, G., Roscoe, R.D., Jeong, H., & Wagster, J.D. (2009). Interactive Metacognition: Monitoring and Regulating a Teachable Agent. In D.J. Hacker, J. Dunlosky, & A.C. Graesser (Eds.), Handbook of Metacognition in Education (pp. 340-358). Routledge Press.

2008

  • Paper (PDF)Jeong, H., & Biswas, G. (2008). Mining student behavior models in learning-by-teaching environments. In R. Baker, T. Barnes, & J. Beck (Eds.), Proceedings of the First International Conference on Educational Data Mining (pp. 127-136). Montreal, Canada.
  • Paper (PDF)Jeong, H., Gupta, A., Roscoe, R., Wagster, J., Biswas, G., & Schwartz, D. (2008). Using hidden markov models to characterize student behaviors in learning-by-teaching environments. In Intelligent Tutoring Systems: Vol. 5091. Lecture Notes in Computer Science (pp. 614-625). Montreal, Canada: Springer.
  • Paper (PDF)Leelawong, K., & Biswas, G. (2008). Designing learning by teaching agents: The Betty’s Brain systemInternational Journal of Artificial Intelligence in Education, 18(3), 181-208.
  • Paper (PDF)Roscoe, R. D., Wagster, J., & Biswas, G. (2008). Using teachable agent feedback to support effective learning-by-teaching. In Proceedings of the 30th Annual Meeting of the Cognitive Science Society (pp. 2381-2386). Washington, DC.
  • Paper (PDF)Wagster, J., Kwong, H., Segedy, J., Biswas, G., & Schwartz, D. (2008). Bringing CBLEs into classrooms: Experiences with the Betty’s Brain system. In Proceedings of the Eighth IEEE International Conference on Advanced Learning Technologies (pp. 252-256). Santander, Cantabria, Spain.

2007

  • Paper (PDF)Schwartz, D. L., Blair, K. P., Biswas, G., Leelawong, K., & Davis, J. (2007). Animations of thought: Interactivity in the teachable agent paradigm. In R. Lowe & W. Schnotz (Eds.), Learning with Animation: Research and Implications for Design (pp. 114-140). UK: Cambrige University Press.
  • Paper (PDF)Tan, J., & Biswas, G. (2007). Simulation-based game learning environments: Building and sustaining a fish tank. In Proceedings of the First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning(pp. 73-80). Jhongli, Taiwan.
    * Recipient of Best Student-Authored Paper Award
  • Paper (PDF)Tan, J., Skirvin, N., Biswas, G., & Catley, K. (2007). Providing guidance and opportunities for self-assessment and transfer in a simulation environment for discovery learning. In Proceedings of the 29th Annual Meeting of the Cognitive Science Society (pp. 1539-1544). Nashville, TN.
  • Paper (PDF)Tan, J., Wagster, J., Wu, Y., & Biswas, G. (2007). Effect of metacognitive support on student behaviors in learning by teaching environments. In Proceedings of the 13th International Conference on Artificial Intelligence in Education. Marina del Rey, CA: IOS Press.
  • Paper (PDF)Wagster, J., Tan, J., Biswas, G., & Schwartz, D. (2007). How metacognitive feedback affects behavior in learning and transfer. In Proceedings of the 13th International Conference on Artificial Intelligence in Education. Marina del Rey, CA: IOS Press.
  • Paper (PDF)Wagster, J., Tan, J., Wu, Y., Biswas, G., & Schwartz, D. (2007). Do learning by teaching environments with metacognitive support help students develop better learning behaviors?. In Proceedings of the 29th Annual Meeting of the Cognitive Science Society (pp. 695-700). Nashville, TN.

2006

  • Paper (PDF)Blair, K., Schwartz, D., Biswas, G., & Leelawong, K. (2006). Pedagogical agents for learning by teaching: Teachable agentsEducational Technology & Society, Special Issue on Pedagogical Agents.
  • Paper (PDF)Tan, J., & Biswas, G. (2006). The role of feedback in preparation for future learning: A case study in learning by teaching environments. In Intelligent Tutoring Systems: Vol. 4053. Lecture Notes in Computer Science (pp. 370-381). Jhongli, Taiwan: Springer.
  • Paper (PDF)Tan, J., Biswas, G., & Schwartz, D. (2006). Feedback for metacognitive support in learning by teaching environments. In Proceedings of the 28th Annual Meeting of the Cognitive Science Society (pp. 828-833). Vancouver, Canada.

2005

  • Paper (PDF)Biswas, G., Leelawong, K., Belynne, K., & Adebiyi, B. (2005). Case studies in learning by teaching behavioral differences in directed versus guided learning. In Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 828-833). Stresa, Italy.
  • Paper (PDF)Biswas, G., Leelawong, K., Schwartz, D., & Vye, N. (2005). Learning by teaching: A new agent paradigm for educational softwareApplied Artificial Intelligence, 19, 363-392.
  • Paper (PDF)Gupta, R., Wu, Y., & Biswas, G. (2005). Teaching about dynamic processes: A teachable agents approach. In Artificial Intelligence in Education – Supporting Learning through Intelligent and Socially Informed Technology (pp. 241-248). Amsterdam, The Netherlands: IOS Press.
  • Paper (PDF)Katzlberger, T. (2005). Learning by teaching agents (Doctoral dissertation). Department of EECS, Vanderbilt University, Nashville, TN.
  • Paper (PDF)Leelawong, K. (2005). Using the learning-by-teaching paradigm to design learning environments (Doctoral dissertation). Department of EECS, Vanderbilt University, Nashville, TN.
  • Paper (PDF)Tan, J., Beers, C., Gupta, R., & Biswas, G. (2005). Computer games as intelligent learning environments: A river ecosystem adventure. In Artificial Intelligence in Education – Supporting Learning through Intelligent and Socially Informed Technology (pp. 646-653). Amsterdam: IOS Press.

2004

  • Paper (PDF)Biswas, G., Leelawong, K., Belynne, K., Viswanath, K., Schwartz, D., & Davis, J. (2004). Developing learning by teaching environments that support self-regulated learning. In Intelligent Tutoring Systems: Vol. 3220. Lecture Notes in Computer Science (pp. 730-740). Maceió, Brazil: Springer.
  • Paper (PDF)Biswas, G., Leelawong, K., Belynne, K., Viswanath, K., Vye, N., Schwartz, D., & Davis, J. (2004). Incorporating self regulated learning techniques into learning by teaching environments. In Proceedings of the 26th Annual Meeting of the Cognitive Science Society (pp. 120-125). Chicago: Erlbaum.
  • Paper (PDF)Viswanath, K., Adebiyi, B., Leelawong, K., & Biswas, G. (2004). A multi-agent architecture implementation of learning by teaching systems. In Proceedings of the 4th IEEE International Conference on Advanced Learning Technologies (pp. 61-65). Joensuu, Finland.

2003

  • Paper (PDF)Davis, J., Leelawong, K., Belynne, K., Bodenheimer, B., Biswas, G., Vye, N., & Bransford, J. (2003). Intelligent user interface design for teachable agent systems. In Proceedings of the 8th International Conference on Intelligent User Interfaces (pp. 26-33). Miami, FL: Association for Computing Machinery.
  • Paper (PDF)Davis, J., Leelawong, K., Belynne, K., Bodenheimer, B., Biswas, G., Vye, N., & Bransford, J. (2003). Intelligent user interface design for teachable agent systems: A demonstration abstract. In Proceedings of the 8th International Conference on Intelligent User Interfaces (p. 320). Miami, FL: Association for Computing Machinery.
  • Paper (PDF)Leelawong, K., Viswanath, K., Davis, J., Biswas, G., Vye, N., Belynne, K., & Bransford, J. (2003). Teachable agents: Learning by teaching environments for science domains. In Proceedings of the Fifteenth Annual Conference on Innovative Applications of Artificial Intelligence (pp. 109-116). Menlo Park, CA: AAAI Press.

2002

  • Paper (PDF)Leelawong, K., Davis, J., Vye, N., Biswas, G., Schwartz, D., Belynne, T., Katzlberger, T., & Bransford, J. (2002). The effects of feedback in supporting learning by teaching in a teachable agent environment. In P. Bell, R. Stevens, & T. Satwicz (Eds.), Keeping Learning Complex: The Proceedings of the Fifth International Conference of the Learning Sciences (pp. 245-252). Mahwah, NJ: Erlbaum.

2001

  • Paper (PDF)Biswas, G., Katzlberger, T., Bransford, J., & Schwartz, D. (2001). Extending intelligent learning environments with teachable agents to enhance learning. In J. D. Moore, C. L. Redfield, & W. L. Johnson (Eds.), Artificial Intelligence for Education 01 (pp. 389-397). Amsterdam: IOS Press.
  • Paper (PDF)Biswas, G., Schwartz, D., & Bransford, J. (2001). Technology support for complex problem solving: From SAD environments to AI. In K.D. Forbus & P.J. Feltovich (Eds.), Smart Machines in Education (pp. 71-98). Menlo Park, CA: AAAI Press.
  • Paper (PDF)Leelawong, K., Wang, Y, Biswas, G., Vye, N., Bransford, J., & Schwartz, D. (2001). Qualitative reasoning techniques to support learning by teaching: The teachable agents project. In Proceedings of the Fifteenth International Workshop on Qualitative Reasoning. San Antonio, TX: AAAI Press.

1999

  • Paper (PDF)Brophy, S., Biswas, G., Katzlberger, T., Bransford, J., & Schwartz, D. (1999). Teachable agents: Combining insights from learning theory and computer science. In S.P. Lajoie & M. Vivet (Eds.), Artificial Intelligence in Education (pp. 21-28). Amsterdam: IOS Press.

1998

  • Paper (PDF)Brophy, S., Schwartz, D., Biswas, G., & Bransford, J. (1998, August). Learning through programmable agents. Paper presented at Workshop on Pedagogical Agents (ITS ’98), San Antonio, TX.