AIED 2016 - Workshop on Artificial Intelligence for Educational Applications

Artificial Intelligence plays a crucial role in Education. We are interested in research and development of interactive and adaptive learning environments for learners of all ages, across all domains. The workshop provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics, as well as many domain-specific areas. Possible topics that could be addressed that are not limited to:
Modelling and Representation: Models of learners, facilitators, tasks and problem-solving processes; Models of groups and communities for learning; Modelling motivation, metacognition, and affective aspects of learning; Ontological modelling; Handling uncertainty and multiple perspectives; Representing and analysing 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
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
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
Innovative and Commercial Applications: Domain-specific learning applications (e.g. language, mathematics, science, medicine, military, industry); Scaling up and large-scale deployment of AIED systems;
Evaluation: Human-computer interaction; Evaluation methodologies; Studies on human learning, cognition, affect, motivation, and attitudes; Design and formative studies of AIED systems