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Baukal, Charles E.; Ausburn, Lynna J. – European Journal of Engineering Education, 2017
Continuing engineering education (CEE) is important to ensure engineers maintain proficiency over the life of their careers. However, relatively few studies have examined designing effective training for working engineers. Research has indicated that both learner instructional preferences and prior knowledge can impact the learning process, but it…
Descriptors: Engineering Education, Cognitive Style, Learning Processes, Preferences
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Kolari, S.; Savander-Ranne, C.; Viskari, E. -L. – European Journal of Engineering Education, 2008
Several time-use studies in engineering education have shown that students use less time studying than has been allocated in the curricula. It is questionable whether a scarce use of time can lead to deeper understanding and the ability to apply knowledge in problem-solving. The alarming results from earlier time-use studies led to a search for…
Descriptors: Engineering Education, Use Studies, Conceptual Tempo, Time Factors (Learning)
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Hargreaves, D. J. – European Journal of Engineering Education, 1996
Describes the use of three questionnaires in assessing how students learn. Results of the study process questionnaire, the course experience questionnaire, and the learning style inventory indicate that lecturers need to change their teaching paradigm to one where the lecturer is closely involved in the learning context. (DDR)
Descriptors: Cognitive Style, Course Content, Educational Strategies, Engineering Education
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Blicblau, Aaron Simon – European Journal of Engineering Education, 2006
The learning initiative described in this paper looks at how the adoption of a flexible, online learning approach can be used to optimize teaching and learning in engineering materials to a variety of engineering disciplines. The main driver for adopting this approach was to increase the effectiveness of delivery of subject matter. Practical…
Descriptors: Online Courses, Integrated Learning Systems, Educational Technology, Electronic Learning