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9. References
V. Aleven and K. D. Ashley. Teaching case-based argumentation through a model and examples: Empirical evalution of an in telligent learning environment. Proc. of the Artificial Intelligence in Education, Kobe, Japan, 1997.
R. Burrow and G. Weber. Example explanation in learning environments. Proc. of the Intelligent Tutoring Systems — Proceedings of the Third International Conference, ITS '96, Springer: 457–465, 1996.
M. T. H. Chi. Self-Explaining Expository Texts: The Dual Processes of Generating Inferences and Repairing Mental Models. Advances in Instructional Psychology. R. Glaser. Mahwah, NJ,, Lawrence Erlbaum Associates: 161–238, 2000.
C. Conati and G. Carenini. Generating Tailored Examples to Support Learning via Self-Explanation. Proc. of the Proceedings of the 17th Joint International Conference on Artificial Intelligence (IJCAI 2001), Seattle, USA, 2001.
C. Conati and K. Vanlehn. Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation. International Journal of Artificial Intelligence in Education 11: 398–415, 2000.
G. Cooper. Research into Cognitive Load Theory and Instructional Design at UNSW, University of New South Wales, Australia, 1998.
R. Freedman. Plan-based dialogue management in a physics tutor. Proc. of the Sixth Applied Natural Language processing Conference (ANLP '00), Seattle, 2000.
S. P. Gott, A. Lesgold and R. S. Kane. Tutoring for transfer of technical competence. Constructivist Learning Environments. B. G. Wilson. Englewood Cliffs, NJ, Educational Technology Publications: 33–48, 1996.
H. Horacek. A Model for Adapting Explanations to the User's Likely Inferences. UMUAI 7(1): 1–55, 1997.
S. Kalyuga, P. Chandler and J. Sweller. Levels of Expertise and User-Adapted Formats of Instructional Presentations: A Cognitive Load Approach. Proc. of the User Modeling: Proceedings of the Sixth International Conference, UM97, 1997.
K. B. Korb, R. McConachy and I. Zukerman. A Cognitive Model of Argumentation. Proc. of the Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society: 400–405, 1997.
J. D. Moore. Discourse generation for instructional applications: Making computer-based tutors more like humans. Journal of Artificial In telligence in Education 7(2): 181–124, 1996.
M. G. Moser, J. D. M oore and E. Glendening. Instructions for Coding Explanations: Identifying Segments, Relations and Minimal Units, University of Pittsburgh, Department of Computer Science, 1996.
F. Paas and J. Merrienboer. Variability of Worked Examples and Transfer of Geometrical problem-Solving Skills: A Cognitive-Load Approach. Journal of Educational Psychology 86(1): 122–133, 1994.
E. Reiter and R. Dale. Building Natural Language Generation Systems, Cambridge University Press, 2000.
J. Sweller. Cognitive load during problem solving: effects on learning. Cognitive Science 12: 257–285, 1988.
J. Sweller. Cognitive Load Theory, Learning Difficulty, and Instructional Design. Learning and Instruction 4: 295–312, 1994.
G. Weber and M. Specht. User modeling and adaptive navigation support in WWW-based tutoring systems. Proc. of the Proceedings of User Modeling '97, 1997.
M. R. Young. Using Grice's maxim of Quantity to selectthe content of plan descriptions. Artificial Intelligence 115(2): 215–256, 1999.
R. M. Young and J. D. Moore. DPOCL: A Principled Approach to Discourse Planning. Proc. of the Proceedings of the 7th International Workshop on Text Generation, Montreal, Canrada, 1994.
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Carenini, G., Conati, C. (2005). Generating Tailored Worked-Out Problem Solutions to Help Students Learn from Examples. In: Stock, O., Zancanaro, M. (eds) Multimodal Intelligent Information Presentation. Text, Speech and Language Technology, vol 27. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3051-7_8
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