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The Best of Both Worlds: Designing a Tiered Hybrid Interface for Teaching Machine Learning in K-9 Education.

, , , , and . NordiCHI, page 51:1-51:12. ACM, (2022)

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High school students exploring machine learning and its societal implications: Opportunities and challenges., , , , , and . Int. J. Child Comput. Interact., (2022)Opportunities and Challenges of Teaching Machine Learning as a Design Material with the micro: bit., , , and . NordiCHI (Adjunct), page 45:1-45:6. ACM, (2022)Robotics Framework for Object Tracking using FPGA with Novel Automatic Image Labelling., , , , , , , and . EUROCON, page 782-787. IEEE, (2023)The Best of Both Worlds: Designing a Tiered Hybrid Interface for Teaching Machine Learning in K-9 Education., , , , and . NordiCHI, page 51:1-51:12. ACM, (2022)Computational empowerment in practice: Scaffolding teenagers' learning about emerging technologies and their ethical and societal impact., , , , , , , , , and . Int. J. Child Comput. Interact., (2022)The Machine Learning Machine: A Tangible User Interface for Teaching Machine Learning., , and . TEI, page 19:1-19:12. ACM, (2021)VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications., , , , , and . FabLearn/MakeEd, page 3:1-3:10. ACM, (2021)From Demo to Design in Teaching Machine Learning., , , , and . FAccT, page 2168-2178. ACM, (2022)Staging Reflections on Ethical Dilemmas in Machine Learning: A Card-Based Design Workshop for High School Students., , and . Conference on Designing Interactive Systems, page 1211-1222. ACM, (2020)Emerging Technologies in K-12 Education: A Future HCI Research Agenda., , , , , , , and . ACM Trans. Comput. Hum. Interact., 30 (3): 47:1-47:40 (2023)