Artificial Intelligence in Education: 17th International by Cristina Conati, Neil Heffernan, Antonija Mitrovic, M.

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By Cristina Conati, Neil Heffernan, Antonija Mitrovic, M. Felisa Verdejo

This booklet constitutes the refereed lawsuits of the seventeenth foreign convention on man made Intelligence in schooling, AIED 2015, held in Madrid, Spain, in June 2015.

The 50 revised complete papers awarded including three keynotes, seventy nine poster shows, thirteen doctoral consortium papers, sixteen workshop abstracts, and eight interactive occasion papers have been conscientiously reviewed and chosen from quite a few submissions. The convention offers possibilities for the cross-fertilization of methods, concepts and concepts from the various fields that contain AIED, together with laptop technology, cognitive and studying sciences, schooling, online game layout, psychology, sociology, linguistics, in addition to many domain-specific areas.

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Extra resources for Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings

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Borja Vázquez-Barreiros, Alejandro Ramos-Soto, Manuel Lama, Manuel Mucientes, Alberto Bugarín, and Senén Barro 925 Author Index . . . . . . . . . . . . . . . . . . . . . . 927 Full Papers Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations During Human Tutoring Effective? edu Abstract. We present an initial field evaluation of Rimac, a natural-language tutoring system which implements decision rules that simulate the highly interactive nature of human tutoring.

Given the complexity of interpreting such responses, and the frustration that students experience when the system misinterprets them, we bypassed this problem by presenting a menu of responses for students to map theirs to, as shown in the first dialogue excerpt in Table 2. 6 P. Albacete et al. It is important to note that some dialogue rules were unintentionally incorporated within the control dialogues. This is not surprising, given that the decision rules stem from analyses of naturally occurring human tutorial interaction.

Jennifer Tsan and Kristy Elizabeth Boyer 873 Sharing Student Models That Use Machine Learning . . . . . . . . . Benjamn Valds, Carlos Ramirez, and Jorge Ramirez 877 Workshop Abstracts 2nd Workshop on Simulated Learners . . . . . . . . . . . . . . John Champaign and Gord McCalla 883 4th Workshop on Intelligent Support for Learning in Groups . . . . . . Ilya Goldin, Roberto Martinez-Maldonado, Erin Walker, Rohit Kumar, and Jihie Kim 884 Workshop on Developing a Generalized Intelligent Framework for Tutoring (GIFT): Informing Design through a Community of Practice .

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