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Wells, J.; Barry, R. M.; Spence, A. – IEEE Transactions on Education, 2012
Traditional teaching styles practiced at universities do not generally suit all students' learning styles. For a variety of reasons, students do not always engage in learning in the courses in which they are enrolled. New methods to create and deliver educational material are available, but these do not always improve learning outcomes.…
Descriptors: Foreign Countries, Video Technology, Multimedia Instruction, Student Surveys
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Hoic-Bozic, N.; Mornar, V.; Boticki, I. – IEEE Transactions on Education, 2009
Blended learning has become an increasingly popular form of e-learning, and is particularly suitable to the process of transitioning towards e-learning from traditional forms of learning and teaching. This paper describes the use of the blended e-learning model, which is based on a mixture of collaborative learning, problem-based learning (PBL)…
Descriptors: Electronic Learning, Independent Study, Problem Based Learning, Courseware
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Jernigan, S. R.; Fahmy, Y.; Buckner, G. D. – IEEE Transactions on Education, 2009
This paper details a successful and inexpensive implementation of a remote laboratory into a distance control systems course using readily available hardware and software. The physical experiment consists of a beach ball and a dc blower; the control objective is to make the height of the aerodynamically levitated beach ball track a reference…
Descriptors: Distance Education, Laboratory Experiments, Science Laboratories, Online Systems
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Barella, A.; Valero, S.; Carrascosa, C. – IEEE Transactions on Education, 2009
This paper presents a new environment for teaching practical work in AI subjects. The main purpose of this environment is to make AI techniques more appealing to students and to facilitate the use of the toolkits which are currently widely used in research and development. This new environment has a toolkit for developing and executing agents,…
Descriptors: Research and Development, Science Education, Case Studies, Teaching Methods
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Georgiopoulos, M.; DeMara, R. F.; Gonzalez, A. J.; Wu, A. S.; Mollaghasemi, M.; Gelenbe, E.; Kysilka, M.; Secretan, J.; Sharma, C. A.; Alnsour, A. J. – IEEE Transactions on Education, 2009
This paper presents an integrated research and teaching model that has resulted from an NSF-funded effort to introduce results of current Machine Learning research into the engineering and computer science curriculum at the University of Central Florida (UCF). While in-depth exposure to current topics in Machine Learning has traditionally occurred…
Descriptors: Undergraduate Students, Undergraduate Study, Student Research, Science Curriculum