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Adomßent, Maik; Grahl, Anselm; Spira, Felix – International Journal of Sustainability in Higher Education, 2019
Purpose: The lack of change structures can be seen as an important reason why sustainability continues to suffer a niche existence in most higher education organisations. This is a problem because universities can leverage their teaching, research and operations to advance solutions to climate change, hunger and other Sustainable Development…
Descriptors: Self Efficacy, Sustainability, Campuses, Climate
Brown, John Seely; Pendleton-Jullian, Ann; Adler, Richard – Change: The Magazine of Higher Learning, 2010
In 2012, the country's land-grant colleges and universities will celebrate their sesquicentennial. This anniversary provides a good opportunity to consider how these distinctively American institutions have evolved over the past 150 years and how well they are doing today in preparing students for the 21st century. Resilience will be a key…
Descriptors: Land Grant Universities, Institutional Characteristics, Educational Development, Educational Change
Dallas, T.; Berg, J. M.; Gale, R. O. – IEEE Transactions on Education, 2012
This paper describes the goals, pedagogical system, and educational outcomes of a three-semester curriculum in microelectromechanical systems (MEMS). The sequence takes engineering students with no formal MEMS training and gives them the skills to participate in cutting-edge MEMS research and development. The evolution of the curriculum from…
Descriptors: Outcomes of Education, Competition, Curriculum Development, Manufacturing
Larson, Miriam B.; Lockee, Barbara B. – Educational Technology Research and Development, 2009
The competency requirements, content, culture, and value systems of business and industry career environments can differ significantly from that of the higher education context where instructional design and technology (IDT) students receive their formal training. Therefore, faculty should consider how they might provide flexibility in their…
Descriptors: Instructional Design, Career Development, Career Education, Case Studies
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
Chichernea, Virgil – Journal of Applied Quantitative Methods, 2007
Any professional act will lead to a significant change. How can one make students understand "managing change" as a consequence or as an intended objective? "DECISION IN CASCADE" -- is a Management Computational Game for the Education of University Master Students and Junior Executive -- simulates five economic functions: research and…
Descriptors: Research and Development, Graduate Study, Computer Simulation, Learning Modules
Yamazaki, K.; And Others – International Journal of Applied Engineering Education, 1985
Describes the concept and methodology of "mechatronics" (application of microelectronics to mechanism control) and research and development (R&D) projects through the activities initiated at the Precision Machining Laboratory of the Department of Production Systems Engineering of the new Toyohashi University of Technology. (JN)
Descriptors: Course Descriptions, Electronics, Engineering, Engineering Education

Zabicky, Jacob – Chemical Engineering Education, 1986
Describes a course for third- or fourth-year chemical engineering students designed to acquaint them with the chemical industry. The course deals with productivity, characteristics of the chemical industry, sources of information, industrial intelligence, research and development, patent law, technology transfer, and quality control. (TW)
Descriptors: Chemical Engineering, Chemical Industry, Chemical Nomenclature, College Science

Venkatasubramanian, V. – Chemical Engineering Education, 1986
Describes a course on artificial intelligence (AI) in process engineering taught at Columbia University to chemical engineering students, using an AI methodology known as Knowledge-Based Expert Systems (KBES). Provides a description of the course, the lecture topics, and a synopsis of some of the student projects. (TW)
Descriptors: Artificial Intelligence, Chemical Engineering, College Science, Computer Uses in Education