EAAI-18 provides a venue for researchers and educators to discuss pedagogical issues and share resources related to teaching and using AI in education across a variety of curricular levels (K-12 through postgraduate training), with an emphasis on undergraduate and graduate teaching and learning. The symposium seeks contributions showing how to more effectively teach AI, as well as how themes from AI may be used to enhance education more broadly (for example, in introductory computing courses or as a means for teaching computational thinking). We encourage the sharing of innovative educational approaches that convey or leverage AI and its many subfields, including robotics, machine learning, natural language processing, computer vision, and others.
EAAI-18 is expected to include two invited talks (including a talk of the recipient of the AAAI/EAAI Outstanding AI Educator Award 2018); a panel with AI education experts; Model AI Assignments; special tracks on Providing Research Experiences for Undergraduate Students, Best Practices for Running an AI Research Group, and AI for Education and Outreach; and other exciting activities.
EAAI-18 welcomes Main Track paper submissions on a variety of topics, including (but not limited to) the following:·Educational resources, including pedagogical strategies, innovative assignments, and curricular development related to AI·Multidisciplinary curriculum efforts highlighting the application of AI in other contexts (such as computational biology, algorithmic game theory, or computational economics) and/or foundational concepts of AI in other fields (such as philosophy, cognitive science, linguistics, or psychology)·The use of robotics and other tangible media in both AI courses and elsewhere in the curriculum·Software that assists the teaching/learning process, such as software to help visualize search spaces and search algorithms or software substrates that can be used by students to do projects·Resources and strategies for teaching specific AI sub-areas or topics (such as machine learning, robotics, computer vision, natural language processing, or game playing)·Strategies for situating AI within a wider computer-science curriculum·Ways to incorporate popular entertainment and media portrayal of AI into educational materials (such as in movies, news, or advertisements)·Real-world examples of AI deployments, described in sufficient detail to provide case studies and/or serve as useful springboards for other educators·Innovative means for integrating research as part of coursework in AI·Material for teaching ethical considerations with regard to AI technology
02月03日
2018
02月04日
2018
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