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Learner's Dilemma: IoT Devices Training Strategies in Collaborative Deep Learning
[article]
2020
arXiv
pre-print
Deep learning has been extensively utilized in various IoT applications which require huge amount of data for model training. ...
To overcome this problem, collaborative approach to deep learning, also known as Collaborative DeepLearning (CDL) has been largely employed in data-driven applications. ...
Collaborative Deep Learning (CDL) allows multiple IoT devices to train their models, without revealing associated personal data. ...
arXiv:2007.15215v1
fatcat:ytva6sngdffb5jwtflrojdx6ra
Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT
[article]
2021
arXiv
pre-print
In order to address user privacy concerns, Collaborative Deep Learning (CDL) has been largely employed in data-driven applications which enables multiple IoT devices to train their models locally on edge ...
We present a privacy-preserving collaborative deep learning approach for IoT devices which can achieve benefits from other devices in the system. ...
Collaborative Deep Learning (CDL) allows multiple IoT devices to train their models, without exposing any associated sensitive and private data. ...
arXiv:2103.15245v3
fatcat:ycjodrmqynfubki73i6tdwqap4
Artificial intelligence and ambient intelligence
2019
Journal of Ambient Intelligence and Smart Environments
Some even say that it is, in essence, AI in the environment. ...
and the Semantic Web, ambient assisted living and e-healthcare, AmI for assisting medical diagnosis, ambient intelligence for e-learning and ambient intelligence for smart cities. ...
Further tests on using a subjectbased training/test set partition strategy resulted in a 93.26% test accuracy for AD detection. ...
doi:10.3233/ais-180508
fatcat:dnciqtr63vhehaxmqbhpbnmg5m
Examining the Design of Microlearning for Korean Adult Learners
2020
Zenodo
Considering the increasing demand for microlearning in informal learning spaces, the main purpose of this research is to examine the design of microlearning perceived by adult learners and experts in Korea ...
The participants include 11 e-learning experts and 326 adult learners working in the fields of science and technology. ...
Acknowledgments This research was supported by the Korea Institute of Human Resources Development in Science & Technology (KIRD). ...
doi:10.5281/zenodo.4057859
fatcat:tzaz4jrdbfd3xn3pkh4daszwo4
The Smart Classroom as a Means to the Development of ESD Methodologies
2020
Sustainability
Education for Sustainable Development (ESD) is transformational and concerns learning content and outcomes, pedagogy and the learning environment in itself. ...
Additionally, teacher training programmes focused on the correct use of Smart Classrooms and on the digital competence of teachers are critical to its successful implementation. ...
An implemented solution is the pad-based multi-device collaborative teaching software architecture for Smart Classrooms, a distributed collaborative learning environment to boost communication and collaboration ...
doi:10.3390/su12073010
fatcat:ty7xgcb4zzhi5jabava3hhjbuu
Seven HCI Grand Challenges
2019
International Journal of Human-Computer Interaction
This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with ...
These technologies are expected to work in synergy in intelligent environments, as deep learning algorithms need comparatively big data to learn sufficient knowledge from it and perfect their decision-making ...
Mobile learning Mobile devices are often used in the context of AR applications, but also in a wider learning context, promoting situated, authentic, and ubiquitous learning. ...
doi:10.1080/10447318.2019.1619259
fatcat:4gugxdzqb5acxiapdb6f4ihi5m
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
[chapter]
2022
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper. ...
60% and the performance can be improved in co-generative operation of this system especially in winters. ...
These images are mostly rough in nature. ...
doi:10.13052/rp-9788770227667
fatcat:da47mjbbyzfwnbpde7rgbrlppe
MULTI-PLATFORM DIGITALRESOURCES AND STRUCTURED LEARNING COURSES
2022
Zenodo
This deliverable introduces and describes the various digital resources and educational artefacts developed in the framework of the REFLOW project, under the umbrella "REFLOW Academy". ...
The system runs via an IOT device ("Botto") and a telegram bot, to simplify the donation process. ...
learning approaches (MOOC, physical trainings). ...
doi:10.5281/zenodo.6594707
fatcat:iep3b7faovflpkeutxil3xk2mq
Research in Higher Education, Learning and Administration IQAC 2019
2019
Zenodo
Content on Student Learning: Many teachers today are facing the dilemma whether they integrate mobile devices in their lessons or not. ...
Educators must prepare for the use of mobile technologies in the classroom by training colleagues to use and incorporate mobile devices into learning. 5. ...
On the other hand, the use of mobile technology effects the teaching strategies. ...
doi:10.5281/zenodo.3516884
fatcat:2uaoir5exve2vjtvmwncxwimra
Engaging Learners with the Internet of Things (IoT): Gen Z's Perspectives
2019
Zenodo
The purpose of this study is examines how learners' perspective certain the effectiveness of IoT in higher education as aiding the learning process. ...
With updated IoT connected devices, IoT presently seems to be one of the primary enablers to create quality competency-based education or even become the most vital proponent ...
In addition, students consider using IoT connected device (instant messaging/chat -for instance Skype, Messenger, Hangout, etc) to communicate/collaborate with other learners, teachers, and administrative ...
doi:10.5281/zenodo.3344892
fatcat:c4rpeq4htrftzolrmjhzpxtyia
Britchenko Igor. University as a core of e-learning ecosystem/Polishchuk Y., Kornyliuk A., Britchenko I.//14th conference reader, Prague: Center for Higher Education Studies Location: Microsoft, Prague, CZECH REPUBLIC Date: JUN 20-21, 2019. – P. 309-319
[article]
2020
figshare.com
In addition, to develop a set of recommendations to the universities of collaboration roadmap. ...
In authors' opinion, one of the most perspective collaborative projects are in frame of "students – schoolchildren" due to effective knowledge transfer. ...
Acknowledgements The authors wish to thank the students of the 5th grade of a secondary (K9) classroom in Vienna, Austria, for their collaboration in the study! ...
doi:10.6084/m9.figshare.13330865.v2
fatcat:cduog2cknfcyzdvnmihqylawdu
The Proceedings Book of Two Days National Conference on Emerging Areas of IT Applications in Management, Education and Social Sciences
[article]
2018
Zenodo
The Proceedings Book of Two Days National Conference on EMERGING AREAS OF IT APPLICATIONS IN MANAGEMENT, EDUCATION AND SOCIAL SCIENCES. ...
The dynamic online IOT device is always connected to the server. ...
The main innovations seen in training are Method of training Training in the recent trend have become more technological base .example use of mobile for training and learning at home place also the efficiency ...
doi:10.5281/zenodo.5830922
fatcat:mv2r4wt6srcp5hnropxqwaeady
Trends in Vocational Education and Training Research, Vol. II. Proceedings of the European Conference on Educational Research (ECER), Vocational Education and Training Network (VETNET)
2019
Zenodo
VETNET is a network of researchers interested in exploring societal, policy, governance, organisational, institutional and individual factors that shape and explain vocational education, learning and training ...
The 2019 edition is the second volume on Trends in vocational education and training research. ...
Vibe Aarkrog is associated professor in vocational training and education at Aarhus University and head of the Master training Program. ...
doi:10.5281/zenodo.3457503
fatcat:h4kprpevnfh7znrs3zas37i65q
The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI
[article]
2021
arXiv
pre-print
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. ...
There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. ...
AI, Machine Learning, and Deep Learning The terms artificial intelligence, machine learning, and deep learning, are often used interchangeably by the general public to reflect the concept of replicating ...
arXiv:2107.14052v1
fatcat:etqo64ksjzaihmt4kr7b6auxiu
Oral Roberts University Integrates Wearable Technology with Physical Fitness Curriculum for Incoming Students
2015
ORU News
unpublished
It takes a broad look at current developments and trends in information technology, what these mean for higher education, and how they may affect the college/university as a whole. ...
a print publication base of 22,000, EDUCAUSE Review is sent to EDUCAUSE member representatives as well as to presidents/chancellors, senior academic and administrative leaders, non-IT staff, faculty in ...
The information that connected devices provide can be analyzed and, along with cognitive neuroscience, lead to deep insights into the brain's mechanism of learning and how it is being affected in a particular ...
fatcat:6arr4cin2beefemm56luuqmune
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