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DEEP series
Data-driven Engineering Education Practice (DEEP) examples of education research applied in engineering classrooms that hold promise for widespread adaptation.
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Six considerations informing the design and delivery of instructional activities are presented. The considerations are derived from a discussion of... |
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The development of concepts – mental constructs, models, or schema which help us organize knowledge – is critical to the development of higher order... |
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Key engineering design competencies identified through a comparison of the performances of practicing engineers and undergraduate students on a... |
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Advantages of Direct Mastery Learning Activities: Direct mastery learning experiences conducted in a non-competitive environment lead to enhanced... |
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The Impact of Faculty Attitudes and Activities on Student Recruitment and Retention: Faculty’s roles in creating and maintaining a supportive... |
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The Impact of Faculty Attitudes and Activities on Academic Climate and Culture: Academic climate and culture, at all levels from department to... |
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The ability to be a “lifelong learner” is crucial to maintaining the relevancy of a practicing engineer’s knowledge base, especially given the... |
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Pair Programming: A Model for Cooperative Learning: A basic overview of pair programming, a cooperative learning strategy, is presented. This... |
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Factors Affecting Student Satisfaction with Teamwork Factors affecting students’ satisfaction with teamwork experiences are discussed. Teams are more... |
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Benefits of Matching Instructional Delivery Pace to Prior Levels of Knoweldge: Subject matter retention in an introductory circuits analysis course... |
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Displaying 1 to 10 (of 13 products)
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