Ubiquitos Computing Analysis Based on Deep Learning as a Personalized Digital Learning Media for Inclusion Vocational Students Andriana , Budi Mulyanti, Mokhammad Syaom Barliana , Ana, Mukhidin, Iwa Kuntadi, Zulkarnain, Heni Puspita
Program Studi Pendidikan Teknologi dan Kejuruan, Fakultas Teknik, Universitas Pendidikan Indonesia
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Langlangbuana
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Nurtanio
Abstract
The purpose of the Deep Learning-based Digital Ubiquitos Computing learning media is to facilitate inclusion location students in regular schools and assist teachers in delivering learning materials. This paper is a systematic literature review of reputable journals. The method used is to explore the title, article writer, research theme, keywords, and research from the research results. The underlying technologies to support Ubiquitous Computing Based on Deep Learning include internet connections, advanced middleware, operating systems, cellular code, sensors, microprocessors, Input or Output and user interfaces, computer networks, cellular protocols, location and positioning. The functions of learning media include: (1) As a companion to teaching experts in inclusive students- (2) As a medium that can duplicate teaching experts for each inclusive student- (3) Any specific characteristics of inclusive students will be studied by Deep Learning so that they can form a personalized expert system according to these students- (4) The proposed system is in the form of a tactical device with a capability expert system, and is supported by a distributed computing process so that it can be used in various regional conditions even though it is not yet supported by a good internet network infrastructure.
Keywords: Digital Learning Media, Deep-learning, Inclusion, Systematic literature review, Ubiquitos Computing, Vocational, personalized students
