The following readings are recommened before you attend the LearnLab Summer School. To view the readings you will need to have Adobe Acrobat installed.
Koedinger, K.R., Corbett, A. & Perfetti, C. (2010). The Knowledge-Learning-Instruction (KLI) Framework: Toward Bridging the Science-Practice Chasm to Enhance Robust Student Learning. Technical Report CMU-HCII-10-102, Human Computer Interaction Institute, Carnegie Mellon University. [pdf]
Koedinger, K., Booth, J., and Klahr, D. (2013). Instructional Complexity and the Science to Constrain It Science 22 November 2013: 342 (6161), 935-937. [DOI:10.1126/science.1238056] [pdf]
Aleven, V., McLaren, B. M., Sewall, J., van Velsen, M., Popescu, O., Demi, S., . . . Koedinger, K. R. (2016). Example-Tracing tutors: Intelligent tutor development for non-programmers. International Journal of Artificial Intelligence in Education, 26(1), 224-269. doi:10.1007/s40593-015-0088-2 [pdf]
Aleven, V., & Sewall, J. (2016). The frequency of tutor behaviors: A case study. In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Proceedings of the 13th International Conference on Intelligent Tutoring Systems, ITS 2016 (pp. 396-401). Springer International Publishing. doi:10.1007/978-3-319-39583-8_47 [pdf]
Aleven, V., Sewall, J., Popescu, O., Ringenberg, M., van Velsen, M., & Demi, S. (2016). Embedding intelligent tutoring systems in MOOCs and e-learning platforms. In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Proceedings of the 13th International Conference on Intelligent Tutoring Systems, ITS 2016 (pp. 409-415). Springer International Publishing. doi:10.1007/978-3-319-39583-8_49 [pdf]
Aleven, V. (2010). Rule-based cognitive modeling for intelligent tutoring systems. In R. Nkambou, J. Bourdeau, & R. Mizoguchi (Eds.), Advances in Intelligent Tutoring Systems. Berlin: Springer.[pdf]
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier,
R. (1995). Cognitive tutors: Lessons learned. The Journal of the
Learning Sciences, 4 (2), 167-207. [pdf]
Koedinger, K. R., Anderson, J.R., Hadley, W.H., & Mark, M. A. (1997). Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8, 30-43. Earlier version published in Proceedings of the 7th World Conference on Artificial Intelligence in Education, (pp. 421-428). Charlottesville, VA: Association for the Advancement of Computing in Education. [pdf]
VanLehn, K. (2006) The behavior of tutoring systems. International Journal of Artificial Intelligence in Education. 16, 3, 227-265. [pdf]Aleven, V., McLaren, B. M., & Sewall, J. (2009). Scaling up programming by demonstration for intelligent tutoring systems development: An open-access website for middle-school mathematics learning. IEEE Transactions on Learning Technologies, 2(2), 64-78.
[pdf]
Aleven, V., McLaren, B. M., Sewall, J., & Koedinger, K. R. (2009). A new paradigm for intelligent tutoring systems: Example-tracing tutors. International Journal of Artificial Intelligence in Education, 19(2), 105-154.
[pdf]
Koedinger, K. R.,
Aleven, V., Heffernan, N., McLaren, B. M., and
Hockenberry, M. Opening the Door to Non-Programmers: Authoring
Intelligent Tutor Behavior by Demonstration. In the Proceedings of
the Seventh International Conference on Intelligent Tutoring Systems
(ITS-2004). [pdf]
Matsuda, N., Cohen, W. W., & Koedinger, K. R. (2005). Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors. In AAAI Workshop on Human Comprehensible Machine Learning (Technical Report WS-05-04) (pp. 1-8). Menlo Park, CA: AAAI association. [pdf]
Matsuda, N., Cohen, W., Sewall, J., and Koedinger, K. (2006). What
characterizes a better demonstration for
cognitive modeling by demonstration? Technical report CMU-ML-06-106,
School of Computer Science, Carnegie Mellon University. [pdf]
Jordan, Pamela; Ringenberg, Michael; Hall, Brian. Rapidly Developing Dialogue Systems that Support Learning Studies. Proceedings of ITS06 Workshop on Teaching with Robots, Agents, and NLP. 2006. [pdf]
Jordan P, Ros C and VanLehn, K. Tools for authoring tutorial dialogue knowledge. (2001) In J. D. Moore, C. L. Redfield & W. L. Johnson (Eds). AI in Education: AI-ED in the Wired and Wireless Future. Amsterdam: IOS Press (pp. 222-233). [pdf]
C. P. Ros and B. S. Hall (2004). A Little Goes a Long Way: Quick Authoring of Semantic Knowledge Sources for Interpretation. Proceedings of the Second International Workshop on Scalable Natural Language Understanding. [pdf]
Rose, C. P., Wang, Y.C., Cui, Y., Arguello, J., Stegmann, K., Weinberger, A., Fischer, F. (In Press). Analyzing Collaborative Learning Processes Automatically: Exploiting the Advances of Computational Linguistics in Computer-Supported Collaborative Learning , submitted to the International Journal of Computer Supported Collaborative Learning. [pdf]
Cui, Y., Chaudhuri, S., Kumar, R., Gweon, G., Ros, C. P. (in press). Helping Agents in VMT, in G. Stahl (Ed.) Studying Virtual Math Teams, Springer CSCL Series, Springer.[pdf]
Kumar, R., Ros, C. P., Wang, Y. C., Joshi, M., Robinson, A. (2007). Tutorial Dialogue as Adaptive Collaborative Learning Support, Proceedings of Artificial Intelligence in Education. [pdf]
Wang, H. C., Ros, C.P., Cui, Y., Chang, C. Y, Huang, C. C., Li, T. Y. (2007). Thinking Hard Together: The Long and Short of Collaborative Idea Generation for Scientific Inquiry, Proceedings of Computer Supported Collaborative Learning. [pdf]
Andrew Arnold, Joseph E. Beck and Richard Scheines (2006). "Feature
Discovery in the Context of Educational Data Mining: An Inductive
Approach." Proceedings of the
AAAI2006 Workshop on Educational Data Mining, Boston, MA, 7-13. [pdf]
Beck, J.E. (2006) Using learning decomposition to analyze student
fluency development. Proceedings
of the Workshop on Educational Data Mining at the 8th International
Conference on Intelligent Tutoring Systems (ITS 2006), 21-28.[pdf]
Cen, Hao; Koedinger, Ken; Junker, Brian. Automating Cognitive Model
Improvement by A*Search and Logistic Regression. Proceedings of AAAI 2005 Workshop on
Educational Data Mining. 2005. [pdf]
Donmez, P., Ros, C. P., Stegmann, K., Weinberger, A., &
Fischer,
F. (in press). Supporting CSCL with Automatic Corpus Analysis
Technology. CSCL 2005. The next 10 years!. Taipei, Taiwan. [pdf]
Koedinger, K., McLaughlin, E., Stamper, J., Automated Student Model Improvement. In Proceedings of the 5th International Conference on Educational Data Mining (EDM 2012). Chania, Greece. Jun 19-21, 2012. pp. 17-24. [BEST PAPER Award][pdf]
Stamper, J., Koedinger, K.R. (2011) Human-machine Student Model Discovery and Improvement Using DataShop. In Kay, J., Bull, S. and Biswas, G. eds. Proceeding of the 15th International Conference on Artificial Intelligence in Education (AIED2011). pp. 353-360. Berlin Germany:Springer. [pdf]
Koedinger, K., Corbett, A., and Perfetti, C.. The PSLC Theoretical Framework. 2010. [pdf]