June 24, 2019
June 24, 2019
June 28, 2019
Electrical and Computer
The teaching of microelectronic requires a multidisciplinary approach. This includes solid-state physics, microelectronics fabrication, electronic circuit analysis, Mathematics, and a good exposure on its applications. This is exactly what Science-Technology-Engineering-Math (STEM) curriculum is campaigning for to boost education and its impacts. These teaching dimensions, and intellectual faculties, are related to the nature of the subject itself which is just a one side of the “teaching coin” of the proposed Artificially-Intelligent Method (AIM) approach. The other side of this coin, which is common to all teaching disciplines, involves a good understanding of “learning psychology” of the students in addition to their socio-cultural conditions and realities. In the present paper, both facets of the AIM teaching coin are presented and more specifically how to use the associative nature of the student’s memory to enhance their revision and “in-class understanding moment” recall performance which in turns enhance their knowledge acquisition of the subject.
Saffih, F. (2019, June), Artificially Intelligent Method (AIM) for STEM-based Electrical Engineering Education and Pedagogy Case Study: Microelectronics Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/27614
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2019 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015