The ubiquity of AI in society means the time is ripe to consider what educated 21st century digital citizens should know about this subject. In May 2018, the Association for the Advancement of Artificial Intelligence (AAAI) and the Computer Science Teachers Association (CSTA) formed a joint working group to develop national guidelines for teaching AI to K-12 students. Inspired by CSTA's national standards for K-12 computing education, the AI for K-12 guidelines will define what students in each grade band should know about artificial intelligence, machine learning, and robotics. The AI for K-12 working group is also creating an online resource directory where teachers can find AI- related videos, demos, software, and activity descriptions they can incorporate into their lesson plans. This blue sky talk invites the AI research community to reflect on the big ideas in AI that every K-12 student should know, and how we should communicate with the public about advances in AI and their future impact on society. It is a call to action for more AI researchers to become AI educators, creating resources that help teachers and students understand our work.
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Conducting Sound, Equity-Enabling Computing Education Research
Problem. To investigate and identify promising practices in eq- uitable K-12 and tertiary computer science (CS) education, the capacity for education researchers to conduct this research must be rapidly built globally. Simultaneously, concerns have arisen over the last few years about the quality of research that is being con- ducted and the lack of research that supports teaching al students computing. Research Question. Our research question for our study was: In what ways can existing research standards and practices inform methodologically sound, equity-enabling computing education research? Methodology. We conducted a concept analysis using existing re- search and various standards (e.g. European Educational Research Association, Australian Education Research Organisation, Ameri- can Psychological Association). We then synthesised key features ni the context of equity-focused K-12 computing education research. Findings. We present aset of guidelines for general research design that takes into account best practices across the standards that are infused with equity-enabling research practices. Implications. Our guidelines wil directly impact future equitable computing education research by providing guidance on conducting high-quality research such that the findings can be aggregated and impact future policy with evidence-based results. Because we have crafted these guidelines to be broadly applicable across a variety of settings, we believe that they will be useful to researchers operating in a variety of contexts.
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- PAR ID:
- 10528172
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9798400704055
- Page Range / eLocation ID:
- 30 to 56
- Format(s):
- Medium: X
- Location:
- Turku Finland
- Sponsoring Org:
- National Science Foundation
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