Intelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply. Presents the application of innovative AI techniques to collaborative learning activities Offers strategies to provide automatic and effective tutoring to students’ activities Offers methods to collect, analyze and correctly visualize learning data in educational environments

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  • Author : Santi Caballé
  • Publisher : Academic Press
  • Pages : 424 pages
  • ISBN : 0128231270
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKIntelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education
  • Author : Santi Caballé,Stavros N. Demetriadis,Eduardo Gómez-Sánchez,Pantelis M. Papadopoulos,Armin Weinberger
  • Publisher : Academic Press
  • Release : 15 June 2021
GET THIS BOOKIntelligent Systems and Learning Data Analytics in Online Education

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent

Intelligent Data Analysis for e-Learning

Intelligent Data Analysis for e-Learning
  • Author : Jorge Miguel,Santi Caballé,Fatos Xhafa
  • Publisher : Morgan Kaufmann
  • Release : 06 September 2016
GET THIS BOOKIntelligent Data Analysis for e-Learning

Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct—most notably cheating—however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger

Data Science and Innovations for Intelligent Systems

Data Science and Innovations for Intelligent Systems
  • Author : Kavita Taneja,Harmunish Taneja,Kuldeep Kumar,Arvind Selwal,Eng Lieh Ouh
  • Publisher : CRC Press
  • Release : 01 October 2021
GET THIS BOOKData Science and Innovations for Intelligent Systems

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop

The Educational Intelligent Economy

The Educational Intelligent Economy
  • Author : Tavis D. Jules,Florin D. Salajan
  • Publisher : Emerald Group Publishing
  • Release : 25 November 2019
GET THIS BOOKThe Educational Intelligent Economy

This book examines, from a comparative perspective, the impact of the movement from the so-called knowledge-based economy towards the Intelligent Economy, which is premised upon the application of knowledge. This volume links the advent of this new technological revolution to the world of governance and policy formulation in education.

Formative Assessment, Learning Data Analytics and Gamification

Formative Assessment, Learning Data Analytics and Gamification
  • Author : Santi Caballé,Robert Clarisó
  • Publisher : Morgan Kaufmann
  • Release : 10 May 2016
GET THIS BOOKFormative Assessment, Learning Data Analytics and Gamification

Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification. This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and

Data Analytics Approaches in Educational Games and Gamification Systems

Data Analytics Approaches in Educational Games and Gamification Systems
  • Author : Ahmed Tlili,Maiga Chang
  • Publisher : Springer Nature
  • Release : 10 September 2019
GET THIS BOOKData Analytics Approaches in Educational Games and Gamification Systems

Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in

Application of Intelligent Systems in Multi-modal Information Analytics

Application of Intelligent Systems in Multi-modal Information Analytics
  • Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
  • Publisher : Springer Nature
  • Release : 18 October 2021
GET THIS BOOKApplication of Intelligent Systems in Multi-modal Information Analytics

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal

Intelligent Data Analysis for E-Learning

Intelligent Data Analysis for E-Learning
  • Author : Jorge Miguel,Fatos Xhafa,Santi Caballé
  • Publisher : Academic Press
  • Release : 09 August 2016
GET THIS BOOKIntelligent Data Analysis for E-Learning

Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and

Trends and Applications in Information Systems and Technologies

Trends and Applications in Information Systems and Technologies
  • Author : Álvaro Rocha,Hojjat Adeli,Gintautas Dzemyda,Fernando Moreira,Ana Maria Ramalho Correia
  • Publisher : Springer Nature
  • Release : 18 October 2021
GET THIS BOOKTrends and Applications in Information Systems and Technologies

This book is composed of a selection of articles from The 2021 World Conference on Information Systems and Technologies (WorldCIST'21), held online between 30 and 31 of March and 1 and 2 of April 2021 at Hangra de Heroismo, Terceira Island, Azores, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern information systems and technologies research, together with their technological development and applications. The main topics covered are: A)

Informatics and Cybernetics in Intelligent Systems

Informatics and Cybernetics in Intelligent Systems
  • Author : Radek Silhavy
  • Publisher : Springer Nature
  • Release : 18 October 2021
GET THIS BOOKInformatics and Cybernetics in Intelligent Systems

This book constitutes the refereed proceedings of the informatics and cybernetics in intelligent systems section of the 10th Computer Science Online Conference 2021 (CSOC 2021), held online in April 2021. Modern cybernetics and computer engineering papers in the scope of intelligent systems are an essential part of actual research topics. In this book, a discussion of modern algorithms approaches techniques is held. .

Advancing the Power of Learning Analytics and Big Data in Education

Advancing the Power of Learning Analytics and Big Data in Education
  • Author : Azevedo, Ana,Azevedo, José Manuel,Onohuome Uhomoibhi, James,Ossiannilsson, Ebba
  • Publisher : IGI Global
  • Release : 19 March 2021
GET THIS BOOKAdvancing the Power of Learning Analytics and Big Data in Education

The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect

Responsible Analytics and Data Mining in Education

Responsible Analytics and Data Mining in Education
  • Author : Badrul H. Khan,Joseph Rene Corbeil,Maria Elena Corbeil
  • Publisher : Routledge
  • Release : 07 December 2018
GET THIS BOOKResponsible Analytics and Data Mining in Education

Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging

Creativity in Intelligent Technologies and Data Science

Creativity in Intelligent Technologies and Data Science
  • Author : Alla G. Kravets,Maxim Shcherbakov,Danila Parygin,Peter P. Groumpos
  • Publisher : Springer Nature
  • Release : 15 September 2021
GET THIS BOOKCreativity in Intelligent Technologies and Data Science

This book constitutes the proceedings of the 4th Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2021, held in Volgograd, Russia, in September 2021. The 39 full papers, 7 short papers, and 2 keynote papers presented were carefully reviewed and selected from 182 submissions. The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies: knowledge discovery in patent and open sources; open science semantic technologies; IoT and computer vision in knowledge-based control; Cyber-physical systems and big data-driven control: