Undergraduate Embedded System Education Using Adaptive Learning Technology
- Conference
- Location
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Honolulu, Hawaii
- Publication Date
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June 24, 2007
- Start Date
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June 24, 2007
- End Date
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June 27, 2007
- ISSN
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2153-5965
- Conference Session
- Tagged Division
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Electrical and Computer
- Page Count
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13
- Page Numbers
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12.1507.1 - 12.1507.13
- DOI
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10.18260/1-2--2568
- Permanent URL
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https://peer.asee.org/2568
- Download Count
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468
Paper Authors
Liang Hong Tennessee State University
Liang Hong received the B.S. degree and M.S. degree from Southeast University, Nanjing, China, in 1994 and 1997, respectively, and the PhD degree from University of Missouri, Columbia, MO, in 2002, all in electrical engineering. Since 2003, he has been with Tennessee State University, Nashville, TN, as an Assistant Professor in the Department of Electrical and Computer Engineering. He has held summer visiting appointment at Vanderbilt University, Nashville, TN, in 2006. His research interests include digital communications and multimedia signal processing with a recent focus on wireless video transmission, modulation classification, speech enhancement, and sensor networks. He is a member of IEEE and ASEE.
Md Hasanuzzaman Tennessee State University
Md Hasanuzzaman received the B.S. degree and M.S. degree from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 1996 and 1998, respectively, and the PhD degree from University of Tennessee, Knoxville, TN in 2004, all in electrical engineering. Since 2005, he has been with Tennessee State University, Nashville, TN, as an Assistant Professor in the Department of Electrical and Computer Engineering. He was a research assistant of Oak Ridge National Laboratory and worked on advanced microprocessor design at IBM, Austin, TX research facilities. He has also held summer visiting appointment at Vanderbilt University, Nashville, TN, in 2006. His research interests include advanced electronics, high temperature electronics, analog and digital circuit design, computer architecture, and embedded system design. He is a member of IEEE and ASEE.
Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract
Undergraduate Embedded System Education Using Adaptive Learning Technology Liang Hong Md Hasanuzzaman
Department of Electrical and Computer Engineering Tennessee State University 3500 John A Merritt Blvd, Nashville, TN 37209
Abstract
Embedded systems are the fastest growing areas of computing in recent years. This growing popularity calls for engineers with experience in designing and implementing embedded systems. This paper describes an undergraduate embedded system design course in our curriculum that is offered as technical elective for senior students. The course contents, organization of the materials and the laboratory are presented. This course is designed by introducing a balanced view of software and hardware concepts in the design process. The objectives of this course are to expose students to the field of embedded systems with knowledge foundation, and to provide them with hands-on experience via a sequence of laboratories. A student-centered adaptive blended learning technology based on the Courseware Authoring and Packaging Environment (CAPE), and the experimental Learning Management System (eLMS) is also presented in the paper. Comparing with other course management software, such as WebCT and BlackBoard, this web-based adaptive blended learning technology provides a better intelligent tutoring and learning environment. It provides an opportunity for educators to assess the strengths and weaknesses of each student and provide adapting learning activities in response. It can significantly improve the student retention by providing them with immediate feedback after the quiz. It can also be integrated to WebCT and BlackBoard to enhance the efficiency of knowledge delivery. Furthermore, the web-based CAPE/eLMS adaptive learning environment will not only enable adaptive in-class instruction, but also enable powerful possibilities for adaptive learning activities outside the classroom, both in preparation for in-class activities and in following them up. The CAPE model introduced in this paper offers a generalized framework and can be easily modified by educators to fit their needs.
Introduction
Embedded systems are information processing systems embedded into enclosing products such as cars, telecommunication or fabrication equipment. Real-time constraints, dependability and efficiency are common characteristics of these systems 1. Embedded systems are the fastest growing areas of computing in recent years. Over ninety percents of all processors are used in embedded applications, and almost every facet of modern life, such as cellular phones, TVs, video game consoles, GPS devices, network routers, cars and space shuttles, contains embedded processors 2. This growing popularity calls for engineers with experience in designing and implementing embedded systems. The educators must make available the necessary skills to their students by incorporating the entire system design and implementation procedures, including specifications and modeling of embedded systems, hardware/software partition and co- design; validation and implementation.
Hong, L., & Hasanuzzaman, M. (2007, June), Undergraduate Embedded System Education Using Adaptive Learning Technology Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii. 10.18260/1-2--2568
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