DEVELOPING AND TEACHING FOR THE INTERNET OF THINGS (IOT)

Associate Professor Martin Hebel will present his research, texts & software authorship, and teaching in relationship to the Internet of Things (IoT) with a table display. IoT is the use of the internet to monitor and control a wide assortment of ‘smart’ devices such as in home automation and building management. Very simple and cost efficient systems can be developed for IoT use for a wide variety of applications for both personal and profession use in medical, industrial or agricultural system. These system may be accessed via web browsers or dedicated smart phone Apps. Professor Hebel has worked with the University of Florida to wirelessly collect data from citrus as it is shaken off the tree; worked with the University of Sassari, Italy on wireless collection of biomedical information; has written multiple texts and software packages; and is a co-inventor on a patent for monitoring of crops for precision irrigation. Students from his IoT class will be on hand to demonstrate and discuss their class project on wireless monitoring and control via the internet

Penggunaan Internet sebagai Media Baru dalam Pembelajaran

The developement of information and communication technology ( ICT) has changed our way of looking at things including teaching media. This article discusses the advantages and disadvantages of using internet in teaching and learning process

Teaching the Internet of Things: Bridging a Path from CPE329

“The ability to connect, communicate with, and remotely manage an incalculable number of networked, automated devices via the Internet is becoming pervasive, from the commercial kitchen to the residential basement room to the arm of the fitness buff.” - WSO2 In this report, we will investigate procedures and technologies used in IoT. A variety of cloud platforms will be described to demonstrate its strengths and usage on IoT applications. Furthermore, demonstrate the most popular hardware being used in several of these applications. This report is aimed to give a good understanding on what it takes to put together an IoT application from from choosing the appropriate hardware to choosing the right cloud platform. A thorough analysis has been done in order to help users choose the right hardware, communication protocol and cloud platform to deploy an application to the cloud. As Internet of Things is still a developing field, the information here may become outdated or even drastically altered, and new standardizations may arise

ConnectUs: A New Toolkit for Teaching about the Internet of Things

The emerging Internet of Things (IoT), through which vast amounts of everyday objects are becoming embedded with computing and networking capabilities, is rapidly changing the way society uses and experiences technology. Despite this, children do not systematically learn about IoT in schools. This demonstration will showcase ConnectUs, a new IoT toolkit, which can be used to introduce children to a variety of IoT concepts, and provide users with the opportunity to design their own IoT system

Learning data engineering: Creating IoT apps using the node-RED and the RPI technologies

© 2017 IEEE. This paper demonstrates the suitability and the practicality of using the advanced open source tools such as the Raspberry Pi and the Node-RED for teaching and learning in the Internet of Things (IOT) subject within a newly created major of Data Engineering in the Faculty of Engineering and IT at University of Technology, Sydney. Understanding and practicing of the Internet of Things largely depend on the high availability of tools, their low cost, and ease of use that can accelerate learning processes. This paper demonstrates relatively uncomplicated practical lab exercises involving the Raspberry Pi hardware, firmware and the Node-RED programming environment that students can execute to stimulate their learning, understanding of the Internet of Things technology and acquire fundamental data engineering skills

TO THE METHOD OF PROFESSION OF SPECIFIC QUESTIONS OF THE DISCIPLINES OF THE DIRECTIVE OF THE NETWORK INTERNET

Здійснюється огляд напрямку комп’ютерних технологій «Інтернет речей» з метою створення методики вивчення відповідних дисциплін у ЗВО (закладі вищої освіти). Здійснений аналіз складу і структури інтернету речей, особливостей сучасного підходу до створення обчислювальних систем. Розглянуті властивості і особливості роботи і проектування вбудованих систем курування, як основної частини нового напрямку. Вивчені проблеми викладання цього напрямку і шляхи їх вирішення. Звертається увага на нові технології викладання і наводяться приклади їх використання у Київському університеті імені Б. Грінченка. У розробленій методиці розглянуті ключові питання викладання «Інтернет речей» і основні дисципліни цього напрямку.An overview of the direction of computer technologies "Internet of Things" is being conducted in order to create a methodology for studying the relevant disciplines in the ZOO (institution of higher education). An analysis of the composition and structure of the Internet of things, features of the modern approach to the creation of computing systems. The properties and features of work and designing of embedded systems of curating as the main part of a new direction are considered. The problems of teaching this direction and ways of their solution are studied. Attention is drawn to new teaching technologies and examples of their use are presented at the B. Hrinchenko Kyiv University. The developed method considers the key issues of teaching "Internet things" and the main disciplines in this direction. ZO

Raspberry Pi: An Effective Vehicle in Teaching the Internet of Things in Computer Science and Engineering

The Raspberry Pi is being increasingly adopted as a suitable platform in both research and applications of the Internet of Things (IoT). This study presents a novel project-based teaching and learning approach devised in an Internet of Things course for undergraduate students in the computer science major, where the Raspberry Pi platform is used as an effective vehicle to greatly enhance students’ learning performance and experience. The devised course begins with learning simple hardware and moves to building a whole prototype system. This paper illustrates the outcome of the proposed approach by demonstrating the prototype IoT systems designed and developed by students at the end of one such IoT course. Furthermore, this study provides insights and lessons regarding how to facilitate the use of the Raspberry Pi platform to successfully achieve the goals of project-based teaching and learning in IoT

Connecting the English Class to the Internet of Things

It goes without saying that the World Wide Web drives learners/students to become more autonomous as it offers an array of tools that cater for students’ diverse needs and learning styles. This paper connects the teaching and learning English for Specific Purposes to the ecosystem of the Internet of Things. More precisely, we explore the concept of Internet of Things and its characteristics and address seminal questions about its role in education. After analyzing the findings, we focus on the educative value of digital technologies to our practice as language educators. Drawing on our experience of teaching with web-based tools, we showcase a lesson plan that increased students’ motivation, interaction and engagement. The paper concludes that teaching will definitely become more and more dependent on technology but policy makers need to consider proactively the use of digital technologies as pedagogical tools and to collaborate extensively with educators and technology experts/developers to create innovative strategies for education

A novel design approach for NB-IoT networks using hybrid teaching-learning optimization

In this paper, we present and address the problem of designing green LTE networks with Internet of Things (IoT) nodes. We consider the new NarrowBand-IoT (NB-IoT) wireless technology that will emerge in current and future access networks. The main objective is to reduce power consumption by responding to the instantaneous bit rate demand by the user and the IoT node. In this context, we apply emerging evolutionary algorithms to the above problem. More specifically, we apply the Teaching-Learning-Optimization (TLBO), the Jaya algorithm, and a hybrid algorithm. This hybrid algorithm named TLBO-Jaya uses concepts from both algorithms in an effective way. We compare and discuss the preliminary results of these algorithms

30 BILLION DEVICES AUTOMATICALLY INTERCONNECTED BY 2020_ IMPACT ON THE VLE

A fact established is that in the next six years, over 50 billion people, things and processes will be interconnected over the internet automatically, an average of six devices per person. The concept popularly known as the Internet of Things (IoT, also known as Internet of Everything 'IoE', Cloud of Things 'CoE') is fast gaining grounds and is bent to change the way we interact with the Internet. The IoT is estimated as a $1,423.09 billion dollar market by the year 2020. The fraction of this market to be accessed by the Education sector is yet to be determined. If the current figures are extrapolated however, this fraction promises to be quite substantial. The possibility of the IoT is totally enabled by the introduction of the IPv6 scheme, which has 340,282,366,920,938,463,463,374,607,431,768,211,456 IP addresses. This conveniently allows for assigning about 100 dedicated IP addresses to each atom on planet Earth. This will naturally affect all paradigms of teaching and learning that leverage on IP networks for content delivery e.g. VLEs, eLearning and mLearning. Discussed in this paper are the current approaches adopted in VLEs and how the emerging IoT/IoE paradigms will impact them in the not too distant future. This study will help prepare the VLE stakeholders to be better equipped for the impending changes that cannot but occur. Keywords: Internet of Things (IoT), Internet of Everything (IoE), Virtual Learning Environment (VLE), eLearning, Sensor Networks, M2M