By Cristina Conati, Neil Heffernan, Antonija Mitrovic, M. Felisa Verdejo
This publication constitutes the refereed complaints of the seventeenth foreign convention on synthetic Intelligence in schooling, AIED 2015, held in Madrid, Spain, in June 2015.
The 50 revised complete papers offered including three keynotes, seventy nine poster shows, thirteen doctoral consortium papers, sixteen workshop abstracts, and eight interactive occasion papers have been rigorously reviewed and chosen from various submissions. The convention offers possibilities for the cross-fertilization of ways, ideas and ideas from the numerous fields that contain AIED, together with machine technological know-how, cognitive and studying sciences, schooling, online game layout, psychology, sociology, linguistics, in addition to many domain-specific areas.
Read or Download Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings PDF
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Extra info for Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings
E. e. starts with words like identify) questions without restrictions in the grammatical structure. e. knowledge, comprehension and analysis) . Concept Map Mining Framework Our system models the domain using concept maps generated from lecture slides (known as topic concept maps – TCMap) using the concept map mining framework (CMMF) [6, 7]. g. g. g. term frequency, degree centrality, proximity). The design and validation of CMMF is described further in [6, 7]. 1 Method A study was conducted with a sample of 59 second year Undergraduates in the University of Adelaide, who had enrolled in the Software Engineering (SE) course in Semester 1, 2014.
ITS 2006. LNCS, vol. 4053, pp. 114–123. Springer, Heidelberg (2006) 15. : Investigation by Design: Developing Models to Support Reasoning and Conceptual Change. International Journal of Artificial Intelligence in Education 11, 273–298 (2000) 16. : A Framing of Instructional Explanations: Let’s explain with you. , Kucan, L. ) Instructional Explanations in the Disciplines, pp. 69–82. Springer, New York (2010) 17. : Adding abstractive reflection to a tutorial dialogue system. au Abstract. Question answering (QA) is the automated process of answering general questions submitted by humans in natural language.
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. In other words, it would have been unnatural for dialogue authors to completely avoid employing the interaction patterns embodied in the decision rules while generating the control dialogues. Nonetheless, we verified that the frequency of each rule was significantly lower in the control version of each dialogue than in its experimental counterpart.
Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings by Cristina Conati, Neil Heffernan, Antonija Mitrovic, M. Felisa Verdejo