Titlebook: Augmented Intelligence and Intelligent Tutoring Systems; 19th International C Claude Frasson,Phivos Mylonas,Christos Troussas Conference pr

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EVEN

Generating Pedagogical Questions to Help Students Learn lot of effort, even in relatively simple domains. In this paper, we propose four kinds of pedagogical questions that can be generated from a formal description of the taught skill, provide examples of pedagogical questions, and discuss the advantages and disadvantages of their use.

Odyssey

Seminar

Recommending Mathematical Tasks Based on Reinforcement Learning and Item Response Theory difficulty estimates derived from IRT. The results suggest that this method allowed for personalized and adaptive recommendations of items within the user-selected threshold while avoiding those with an already achieved target score. Experiments were performed on a real data set to demonstrate the

Ornithologist

Automatic Execution of the Ontological Piloting Procedures a domain ontology containing the knowledge about the execution environment have also been previously developed. In this work, we propose an interpretor capable of manipulating the reference knowledge of the execution taxonomy within a simulation environment. Semantic rules are used to evaluate envi

泥沼

Method and Tools to Supporting Math Learning in Inclusive Education of Blind Students developed method and accompanying tools support group work and increase the independence of blind students in the process of learning mathematics. The platform also increases communication with and detailed ongoing assessment of the student’s progress by the teacher.

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innovation

Detecting Interlingual Errors: The Case of Prepositionsterlingual. We propose a corpus-based method that exploits translation probabilities to estimate the likelihood that a writer has translated word-for-word from Spanish to English. We then show that this method correlates well with human judgments on the interlingual status of preposition errors and

Conflagration

Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Syst model and majority voting across different textbooks to discover common domain terms related to computer programming. Our results indicate that using approximate string matching gives more accurate domain models for computer programming with increased precision and recall. By automating our approac

排他

Towards a Chatbot-Based Learning Object Recommendation: A Comparative Experimentzed recommendation of learning objects according to two strategies, one based on their knowledge level (KL) and the other based on their learning style (LS). The objective of this article is to compare the learning outcomes obtained after the realization of the two experiments based on these two app