Research & Innovation Forum 2019 Technology, Innovation, Education, and their Social Impact /

This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2019. As such, this volume offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. Papers...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Visvizi, Anna (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lytras, Miltiadis D. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Springer Proceedings in Complexity,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Simulating Peer Assessment in Massive Online Open Courses
  • Development Strategies and Trends in Educational Solutions for Deaf Students
  • Unpacking the Privacy Paradox for Education
  • 21st Century Skills. An analysis of theoretical frameworks to guide educational innovation processes in Chilean context
  • Cloud Platform for Enabling a Student Collaborative Assessment Process
  • Serious Games in Mechanical Engineering Education
  • Learning Process Using Telegram and Discussion Forums in Online Higher Education
  • Integrating Makerspaces in Higher Education: Constructionism Approach to Learning
  • Definition of a feature vector to characterise learners in adaptive learning systems
  • Gender and learning outcomes in entrepreneurship education
  • Clickbait in Education - Positive or Negative? Machine Learning Answers
  • Improve student participation in peer assessment to influence learning outcomes: a case study
  • Learning with Wikipedia in higher education: academic performance and students' quality perception
  • A hybrid machine learning approach for the prediction of grades in computer engineering students
  • Computational thinking in basic education in a developing country perspective
  • Cognitive computing approaches for human activity recognition from tweets - A case study of Twitter marketing campaign
  • Assessing Strategies for Sampling Dynamic Social Networks
  • Facebook Engagement - Motivational Drivers and the Moderating Effect of Flow Episodes and Age Differences
  • Temporal Trend Analysis on Virtual Reality Using Social Media Mining
  • Using User Contextual Profile for Recommendation in Collaborations
  • A step further in Sentiment Analysis application in Marketing Decision-Making
  • Knowledge Integration in Personalised Dietary Suggestion System Using Semantic Web Technologies
  • Using Physical Activity Monitors in Smart Environments and Social Networks: Applications and Challenges
  • Predicting stock price returns using political and financial sentiment
  • Emotion recognition to improve e-healthcare systems in smart cities
  • Smart City and Technology Transfer: Towards Sustainable Infrastructure
  • Smart cities to create opportunities for young people
  • Overview of Threats and Vulnerabilities in Smart Cities
  • Mexico City traffic analysis based on social computing and machine learning
  • Management city model based on blockchain and smart contracts technology
  • Emerging Computer Vision based Machine Learning Issues for Smart Cities
  • The CRISP-DCW Method for Distributed Computing Workflows
  • Towards a software engineering framework for the design, construction and deployment of machine learning-based solutions in digitalization processes
  • Applied Data Science in Financial Industry: Natural Language Processing Techniques for Bank Policies
  • Handing a Hybrid Multicriteria Model for Choosing Specialists to Analyze Application Management Service Tickets
  • Data strategy framework in servitization: Case study of service development for a vehicle fleet
  • Big Data Dimensionality Reduction For Wireless Sensor Networks Using Stacked Autoencoders
  • BYOD, Personal Area Networks (PANs) and IOT: Threats to Patients Privacy
  • Towards to early diagnosis of dementia in people with HIV / AIDS using Bayesian networks
  • A Hybrid Model to Guide the Consultation of Children with Autism Spectrum Disorder
  • Use Of EEG Technology With Based Brain-Computer Interface To Address Amyotrophic Lateral Sclerosis- ALS
  • Big Data-Assisted Word Sense Disambiguation for Sign Language
  • Identifying relationships between Important Barriers for Disabled Entrepreneurs' in India
  • Surfing the Waves of Digital Automation in Spanish Labor market
  • Impact of Linguistic Feature Related to Fraud on Pledge Results of the Crowdfunding Campaigns
  • Sustainable economic development: some reflections on access to technology as a matter of social engagement
  • Using Crowdsourcing to Identify a Proxy of Socio-Economic status
  • IoT-IaaS: A New Public Cloud Service to Unleash Innovation in the IoT Space
  • The climb to success: a big data analysis to find out why Huawei has conquered the market
  • Identification of factors of indigenous ethnic identity: a case study on the Waorani Amazonian ethnicit
  • Analysis of Virtual Currencies as Driver of Business Marketing
  • Conceptual Modeling as a Tool for Corporate Governance Support: State of the Art and Research Agenda
  • Price Determinants of Tourist Accommodation Rental: Airbnb in Barcelona and Madrid
  • Towards Personality Classification through Arabic Handwriting Analysis.