Welcome to the new AAA lab website. Software downloads are not yet available, but there is plenty of information! NEWS AND EVENTS: Anna Rafferty wins best young researcher paper at Artificial Intelligence in Education (2007) for her work: "Applying Learning Factors Analysis to Build Stereotypic Student Models". Lee Martin becomes assistant professor of Learning Sciences at UC Davis. AAALab part of a new NSF-funded Science of Learning Center called, LIFE David Sears becomes Assistant Professor of the Learning Sciences at Purdue University. Taylor Martin becomes Assistant Professor of Mathematics Education at UT Austin (Yee haw) Jay Pfaffman becomes Assistant Professor of Instructional Technology at UT Knoxville (go Vols!) Current and forthcoming publications from the AAALab: Dynamic Transfer and Innovation. Daniel L. Schwartz, Sashank Varma, & Lee Martin. To appear in S. Vosniadou, Handbook of Conceptual Change. Prospective adaptation in the Use of External Representations. Lee Martin & Daniel L. Schwartz. Under review. The Mere Belief of Social Interaction Improves Learning. Sandra Okita, Jeremy Bailenson, & Daniel L. Schwartz. Cognitive Science Conference (2007). Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction. Daniel L. Schwartz & Taylor Martin. Cognition and Instruction. Efficiency and Innovation in Transfer. Daniel L. Schwartz, David Sears, & John D. Bransford. To appear in J. Mestre (Ed.), Transfer of learning from a modern multidisciplinary perspective (pp. 1 - 51). CT: Information Age Publishing.. How Mathematics Propels the Development of Physical Knowledge. Daniel L. Schwartz, Taylor Martin, & Jay Pfaffman. Journal of Cognition and Development. Physically Distributed Learning: Adapting and Reinterpreting Physical Environments in the Development of Fraction Concepts. Taylor Martin & Daniel L. Schwartz. Accepted for publication in Cognitive Science. Designs for Knowledge Evolution: Towards a prescriptive theory for integrating first- and second-hand knowledge . Daniel L. Schwartz, Taylor Martin, & Na’ilah Nasir. To appear in P. Gardenfors & P. Johansson (Eds.), Cognition, Education, and Communication Technology. ` Animations of thought: Interactivity in the teachable agents paradigm . Schwartz, D. L., Pilner, K. B., Biswas, G., Leelawong, K., & Davis, J. To appear in R. Lowe & W.Schnotz (Eds.), Learning with Animation: Research and Implications for Design. UK: Cambridge University Press. Learning by teaching: A new agent paradigm for educational software . Biswas, Schwartz, Leelawong, Vye, & TAG-V. Applied Artificial Intelligence, 19, 363-392. Instrumentation and Innovation in Design Experiments: Taking the Turn to Efficiency . Daniel L. Schwartz, Jammie Chang, & Lee Martin. To appear in A. Kelly & R. Lesh (Eds.), Design research methods in education. It is not television anymore: Designing digital video for learning and assessment . Daniel L. Schwartz & K. Hartman. To appear in R. Goldman, R. P Pea, B. Barron, & S. Derry (Eds.), Video research in the learning sciences. Young Children's Understanding of Animacy and Entertainment Robots . Sandra Okita & Daniel L. Schwartz. To appear in International Journal of Humanoid Robotics,3. Spatial representations and imagery in learning . Daniel L. Schwartz & Julie Heiser. In K. Sawywe(Ed.), Handbook of the Learning Sciences(pp 283-298). Cambridge University Press. Towards teacher's adaptive metacognition . Xiaodong Lin, Daniel L. Schwartz & Giyoo Hatano. Educational Psychologist, 40, 245-256 Pedagogical agents for learning by teaching: Teachable Agents . Kristen Blain, Daniel L. Schwartz, Gautam Biswas & Krittaya Leelawong. To appear in Educational Technology Distributed learning and mutual adaptation . Daniel L. Schwartz & Taylor Martin. Pragmatics & Cognition, 14, 313-332. Reconsidering prior knowledge . Daniel L. Schwartz, David Sears, & Jammie Chang. To appear in M. Lovett and P. Shah(Eds.), Thinking with Data. Mahwah,NJ: Erlbaum.

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