June 24, 2017
June 24, 2017
June 28, 2018
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. (2017, 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
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