Ethical challenges in the use of IoT in education: on the path to personalization

In the research on the ethical challenges related to the Internet of Things (IoT) and the personalisation of the learning process, four key categories have been identified: Security, Privacy, Automation, and Interaction. Based on this framework, using Constructivist Grounded Theory (CGT), we’ve conducted a study with twenty one actors in the field which have reflected on the advantages, risks and challenges, creating and developing theoretical solutions from technological, pedagogical, and ethical-philosophical perspectives. Coupled with the challenge of interoperability on IoT highways, the educational process generates disadvantages associated with access, use, monitoring and ownership of data, as well as standardization that falls under “profiling” rather than personalization. This leads to problems like exclusion, redundancy of the human being in education through its homogenization and determinism that leads to a loss of sense of freedom, control and choice. The consequence is surveillance associated with corporativism and the loss of the notion of the Common Good in general and in the education in particular. In this paper we discuss how IoT, algorithms and Artificial Intelligence (AI) linked to automation falls within the profiling; and whether more artisanal solutions linked to human language, communication and the relationship that enhance collaboration among multitudes, lead to a stigmeric learning enhancing a personalization of proximity. In this way we are invited to think of a symbiosis between the human being and the machine without the threat of its control, but with the openness and access in education as advantages, the expansion of interaction and communication enhanced by automated processes in pursuit of personalization, distinguishing the cost from the value of data, the value of collective data from the value of personal data among other challenges. In the paper we suggest the idea of a new social contract, whose ethical dimension necessarily rests on the value of the Common Good associated with justice, equity, equality and inclusion.info:eu-repo/semantics/publishedVersio

Study of Smart Campus Development Using Internet of Things Technology

This paper describes the development of smart campus using Internet of Things (IoT) technology. Through smart campus, it is possible that a campus is connected via online by the outside entity, so that the teaching approach based on technology can be conducted in real time. This research was conducted in smart education, smart parking and smart room. Observation and literature studies were applied as the research method with the related theme for the sake of system design of smart campus. The result of this research is the design of smart campus system that includes smart education development, smart parking and smart room with the sake of Universitas PGRI Yogyakarta as the case study

Digital Transformation of Education and Sustainability-Review Based Study

Since 1990, the usage of internet as well as digitization has significantly increased. Digital transformation is the process of using, adoption of digital technology or information technology by an organisation to embed or digitalize products and services. A brief picture of types of learning, educational technology like Artificial intelligence, Metaverse, AR&VR, IoT, how digital transformation enables to meet UN SDG 4 is portrayed in this paper

Web2Touch 2019: Semantic Technologies for Smart Information Sharing and Web Collaboration

This foreword introduces a summary of themes and papers of the Web2Touch (W2T) 2019 Track at the 28th IEEE WETICE Conference held in Capri, June 2019. W2T 2019 includes ten full papers and one short paper. They all address relevant issues in the field of information sharing for collaboration, including, big data analytics, knowledge engineering, linked open data, applications of smart Web technologies, and smart care. The papers are a portfolio of hot issues in research and applications of semantics, smart technologies (e.g., IoT, sensors, devices for tele-monitoring, and smart contents management) with crucial topics, such as big data analysis, knowledge representation, smart enterprise management, among the others. This track shows how cooperative technologies based on knowledge representation, intelligent tools, and enhanced Web engineering can enhance collaborative work through smart service design and delivery, so it contributes to radically change the role of the semantic Web and applications

Building the Future Internet through FIRE

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate

IoT-based students interaction framework using attention-scoring assessment in eLearning

Students’ interaction and collaboration using Internet of Things (IoT) based interoperable infrastructure is a convenient way. Measuring student attention is an essential part of educational assessment. As new learning styles develop, new tools and assessment methods are also needed. The focus of this paper is to develop IoT-based interaction framework and analysis of the student experience of electronic learning (eLearning). The learning behaviors of students attending remote video lectures are assessed by logging their behavior and analyzing the resulting multimedia data using machine learning algorithms. An attention-scoring algorithm, its workflow, and the mathematical formulation for the smart assessment of the student learning experience are established. This setup has a data collection module, which can be reproduced by implementing the algorithm in any modern programming language. Some faces, eyes, and status of eyes are extracted from video stream taken from a webcam using this module. The extracted information is saved in a dataset for further analysis. The analysis of the dataset produces interesting results for student learning assessments. Modern learning management systems can integrate the developed tool to take student learning behaviors into account when assessing electronic learning strategies

Building the Future Internet through FIRE

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate

Internet of Things Affordance for Open Educational Resources in a Comprehensive Open Distance E-learning

The Internet of Things (IoT) space has dual dimensions of affordance to support open educational resources (OER). The duality of affordance has little or not been well articulated in relation to OER, particularly in a Comprehensive open distance e-learning (CODEL) institution. Such an institution is a mega open distance in South Africa and beyond the continent to accommodate students globally and rely on information and communication technology (ICT) in the provision of tuition. In the CODEL institution, there is a recognizable shift as the institution encourages the appropriation of OER and phasing out the prescription of the prescribed textbooks. The research opted for the qualitative approach to establish the role and the causality of IoT affordance in the appropriation of OER. The technology affordance theory has been used as the main theoretical underpinning for this study. The study found that the CODEL institution is IoT driven when handling OER. Furthermore, IoT affordance for OER suggests two propositions as a contribution: CODEL requires to articulate and realignment of its business enterprise system with IoT-driven infrastructure to accommodate tuition using OER; and the IoT-driven context needs to seek possible solutions to adopt artificial intelligence practices for the advancement of OER. In a recommendation for future research, there is a need to investigate the appropriation of OER through IoT affordance in all South African higher education institutions including the contact or traditional universities