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Fiebrink, Rebecca – ACM Transactions on Computing Education, 2019
This article aims to lay a foundation for the research and practice of machine learning education for creative practitioners. It begins by arguing that it is important to teach machine learning to creative practitioners and to conduct research about this teaching, drawing on related work in creative machine learning, creative computing education,…
Descriptors: Artificial Intelligence, Man Machine Systems, Population Groups, Creativity
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Gao, Jinzhu; Hargis, Jace – Journal of Effective Teaching, 2010
This paper describes specific active learning strategies for teaching computer science, integrating both instructional technologies and non-technology-based strategies shown to be effective in the literature. The theoretical learning components addressed include an intentional method to help students build metacognitive abilities, as well as…
Descriptors: Active Learning, Computer Science Education, Technology Uses in Education, Learning Strategies
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Shi, Fuqian; Wei, Jincai – International Education Studies, 2008
In the current teaching activities on curriculum, teachers taught all kinds of computer language at the most of the time. Students also focus on a variety of examinations, but the real time to train students' independent software developing skill is very limited. This has resulted in the students only to copy other people's systems design ideas,…
Descriptors: Programming, Creative Thinking, Creative Development, Science Activities