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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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Levine, Mel – Educational Leadership, 2007
The author describes four capacities--interpretation, instrumentation, interaction, and inner direction--that are as important as traditional academic subjects in preparing young adults for college and career success. He suggests how high schools should address each of these capacities. For example, to develop students' capacity for inner…
Descriptors: Student Development, Cognitive Development, Behavioral Objectives, Creative Development