A triumvirate blended learning method for embedded computational devices used in the Internet of Things: A case study

Abstract

With rapid advances in the emerging and pervasive field of the Internet of Things, electrical and electronic engineering students need a robust grasp of embedded computational device principles to make a proper, appreciable and relevant contribution. This necessity is more pertinent in developing countries that are technologically lagging behind their developed counterparts. This paper analyses the teaching modalities and models used to teach embedded device theory. A new triumvirate (or three person group) hybrid blended learning model is proposed and used to instruct mid-level students in the Electrical and Information Engineering Department of the University of Nairobi; on two embedded device types: a custom board using an AVR Atmega88A series micro-controller and the Raspberry Pi single-board computer. Student circuit design ability and programming confidence prior and subsequent to the proposed method were used to assess the efficacy of the triumvirate model. From the preliminary iteration of the learning model program, it was found that the model is a viable method of ensuring persistent knowledge transfer of embedded design concepts and can be developed further.