Artificial Intelligence in Education

This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence in Education, AIED 2015, held in Madrid, Spain, in June 2015. The 50 revised full papers presented together with 3 keynotes, 79 poster presentations, 13 doctoral consortium papers, 16 workshop abstracts, and 8 interactive event papers were carefully reviewed and selected from a total of numerous submissions. Topics of interest to the conference are such as intelligent technologies: natural language processing; data mining and machine learning; knowledge representation and reasoning; semantic web technologies and standards; simulation-based learning; multi-agent architectures. Modeling and representation: models of learners, facilitators, tasks and problem-solving processes; models of groups and communities for learning; modeling motivation, metacognition, and affective aspects of learning; ontological modeling; handling uncertainty and multiple perspectives; representing and analyzing discourse during learning. Models of teaching and learning: intelligent tutoring and scaffolding; motivational diagnosis and feedback; interactive pedagogical agents and learning companions; agents that promote metacognition, motivation and affect; adaptive question-answering. Learning contexts and informal learning: educational games; collaborative and group learning; social networks; inquiry learning; social dimensions of learning; communities of practice; ubiquitous learning environments; learning grid; lifelong, museum, out-of-school, and workplace learning. Evaluation: evaluation methodologies; studies on human learning, cognition, affect, motivation, and attitudes; design and formative studies of AIED systems. Innovative applications: domain-specific learning applications (e.g. language, mathematics, science, medicine, military, industry); scaling up and large-scale deployment of AIED systems.