Recommender Systems for Technology Enhanced Learning

Recommender Systems for Technology Enhanced Learning
Author: Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Olga C. Santos
Publsiher: Springer Science & Business Media
Total Pages: 306
Release: 2014-04-12
ISBN 10: 1493905309
ISBN 13: 9781493905300
Language: EN, FR, DE, ES & NL

Recommender Systems for Technology Enhanced Learning Book Review:

As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices. Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.

Personalized Recommender System for Technology Enhanced Learning Using Learners Metacognitive Activities

Personalized Recommender System for Technology Enhanced Learning Using Learners  Metacognitive Activities
Author: Lydia Odilinye
Publsiher: Anonim
Total Pages: 108
Release: 2019
ISBN 10:
ISBN 13: OCLC:1144862121
Language: EN, FR, DE, ES & NL

Personalized Recommender System for Technology Enhanced Learning Using Learners Metacognitive Activities Book Review:

Learning, an active cognitive activity, differs from one learner to another. This therefore suggests the need for personalized learning. Recommender systems in this context can be seen as a resourceful tool to provide appropriate learning materials that are tailored to the (personalized) learning needs and goals of the learner; and also to enhance learning. The development of personalized recommender systems typically involves a \textit{learner model} component, which is used to capture and store the personal information, preferences and other characteristics of the learner. While reading, learners engage in number of metacognitive activities e.g. text marking/creating highlights. These metacognitive interactions could serve as useful information for the learner model, to achieve personalization. In addition, the use of a probabilistic topic modeling based document retrieval (Latent Dirichlet Indexing) method makes it possible to provide finer grained multiple but topically related documents to facilitate learning. The current study investigates the effectiveness of using the highlights (a metacognitive activity) a learner makes while reading, as a preference elicitation method for the learner model. It also investigates the use of the Latent Dirichlet Indexing model to provide relevant recommendation of textual learning materials that enhance the personalized learning experiences of learners in a task-oriented activity. The experimental design allows the comparison of the performance, learner experience, learner interaction, and a number of other subjective analysis measures among two groups conditions; where one group receives recommendations based on the proposed methodology, and the second group receive random recommendations. The recommender system is integrated with nStudy, an online learning platform that provides a number of annotation tools (e.g. highlighting, tags) that support metacognitive activities. Findings show that the highlights learners create while reading serve as an appropriate input mechanism to guide personalized learning recommendations. Specifically, there was a significant difference in the learners' evaluation of the recommendation quality and accuracy between the two group conditions. The findings revealed that the learners in the experimental had positive perception of the recommendation quality and accuracy, which is also correlated to the user experience, and interaction.

Methodologies and Intelligent Systems for Technology Enhanced Learning 10th International Conference

Methodologies and Intelligent Systems for Technology Enhanced Learning  10th International Conference
Author: Pierpaolo Vittorini,Tania Di Mascio,Laura Tarantino,Marco Temperini,Rosella Gennari,Fernando De la Prieta
Publsiher: Springer Nature
Total Pages: 272
Release: 2020-07-27
ISBN 10: 3030525384
ISBN 13: 9783030525385
Language: EN, FR, DE, ES & NL

Methodologies and Intelligent Systems for Technology Enhanced Learning 10th International Conference Book Review:

This book intends to bring together researchers and developers from industry, the education field, and the academic world to report on the latest scientific research, technical advances, and methodologies. The 10th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning is hosted by the University of L’Aquila and is going to be held in L’Aquila (Italy). Initially planned on the 17th to the 19th of June 2020, it was postponed to the 7th to the 9th of October 2020, due to the COVID-19 outbreak. The 10th edition of this conference and its related workshops expand the topics of the evidence-based TEL workshops series in order to provide an open forum for discussing intelligent systems for TEL, their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone solutions, or web-based ones. This bridge has been realized also thanks to the sponsor of this edition of MIS4TEL: the Armundia Group https://www.armundia.com, the support from national associations (AEPIA, APPIA, CINI, and EurAI), and organizers (UNIVAQ, UNIROMA1, UNIBZ, UCV, UFSC, USAL, AIR institute, UNC, and UNIBA)

Recommender Systems for Learning

Recommender Systems for Learning
Author: Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duval
Publsiher: Springer Science & Business Media
Total Pages: 76
Release: 2012-08-28
ISBN 10: 146144361X
ISBN 13: 9781461443612
Language: EN, FR, DE, ES & NL

Recommender Systems for Learning Book Review:

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

Methodologies and Intelligent Systems for Technology Enhanced Learning

Methodologies and Intelligent Systems for Technology Enhanced Learning
Author: Tania Di Mascio,Rosella Gennari,Pierpaolo Vitorini,Rosa Vicari,Fernando de la Prieta
Publsiher: Springer
Total Pages: 207
Release: 2014-05-23
ISBN 10: 3319076981
ISBN 13: 9783319076980
Language: EN, FR, DE, ES & NL

Methodologies and Intelligent Systems for Technology Enhanced Learning Book Review:

This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of ebuTEL 2013 conference which took place in Trento, Italy, on September, 16th 2013 and of mis4TEL 2014 conference, which took take place in Salamanca, Spain, on September, 4th-6th 2014. This conference series are an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for its design or evaluation.

Recommender Systems for Learning

Recommender Systems for Learning
Author: Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duval
Publsiher: Springer Science & Business Media
Total Pages: 76
Release: 2012-08-28
ISBN 10: 146144361X
ISBN 13: 9781461443612
Language: EN, FR, DE, ES & NL

Recommender Systems for Learning Book Review:

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

Educational Recommender Systems and Technologies Practices and Challenges

Educational Recommender Systems and Technologies  Practices and Challenges
Author: Santos, Olga C.
Publsiher: IGI Global
Total Pages: 362
Release: 2011-12-31
ISBN 10: 161350490X
ISBN 13: 9781613504901
Language: EN, FR, DE, ES & NL

Educational Recommender Systems and Technologies Practices and Challenges Book Review:

Recommender systems have shown to be successful in many domains where information overload exists. This success has motivated research on how to deploy recommender systems in educational scenarios to facilitate access to a wide spectrum of information. Tackling open issues in their deployment is gaining importance as lifelong learning becomes a necessity of the current knowledge-based society. Although Educational Recommender Systems (ERS) share the same key objectives as recommenders for e-commerce applications, there are some particularities that should be considered before directly applying existing solutions from those applications. Educational Recommender Systems and Technologies: Practices and Challenges aims to provide a comprehensive review of state-of-the-art practices for ERS, as well as the challenges to achieve their actual deployment. Discussing such topics as the state-of-the-art of ERS, methodologies to develop ERS, and architectures to support the recommendation process, this book covers researchers interested in recommendation strategies for educational scenarios and in evaluating the impact of recommendations in learning, as well as academics and practitioners in the area of technology enhanced learning.

Recommender Systems Handbook

Recommender Systems Handbook
Author: Francesco Ricci,Lior Rokach,Bracha Shapira
Publsiher: Springer
Total Pages: 1003
Release: 2015-11-17
ISBN 10: 148997637X
ISBN 13: 9781489976376
Language: EN, FR, DE, ES & NL

Recommender Systems Handbook Book Review:

This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.

Methodologies and Intelligent Systems for Technology Enhanced Learning 10th International Conference Workshops

Methodologies and Intelligent Systems for Technology Enhanced Learning  10th International Conference  Workshops
Author: Zuzana Kubincová
Publsiher: Springer Nature
Total Pages: 329
Release:
ISBN 10: 3030522873
ISBN 13: 9783030522872
Language: EN, FR, DE, ES & NL

Methodologies and Intelligent Systems for Technology Enhanced Learning 10th International Conference Workshops Book Review:

Ubiquitous Learning Environments and Technologies

Ubiquitous Learning Environments and Technologies
Author: Kinshuk,Ronghuai Huang
Publsiher: Springer
Total Pages: 258
Release: 2014-09-10
ISBN 10: 3662446596
ISBN 13: 9783662446591
Language: EN, FR, DE, ES & NL

Ubiquitous Learning Environments and Technologies Book Review:

This book focuses on the design and architecture of ubiquitous learning environments, associated technologies, various learning scenarios supported by these environments, and different contexts that arise in environments where the seamless immersion of formal and informal activities and interactions has the potential to contribute to the learning process. With particular focus on adaptivity for individual learners, the book explores the diminishing boundaries of formal and informal learning, and the potential of location-aware context-sensitive approaches that are emerging as successors to the Web 2.0 paradigm.

Transforming Learning with Meaningful Technologies

Transforming Learning with Meaningful Technologies
Author: Maren Scheffel,Julien Broisin,Viktoria Pammer-Schindler,Andri Ioannou,Jan Schneider
Publsiher: Springer Nature
Total Pages: 779
Release: 2019-10-17
ISBN 10: 3030297365
ISBN 13: 9783030297367
Language: EN, FR, DE, ES & NL

Transforming Learning with Meaningful Technologies Book Review:

This book constitutes the proceedings of the 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, held in Delft, The Netherlands, in September 2019. The 41 research papers and 50 demo and poster papers presented in this volume were carefully reviewed and selected from 149 submissions. The contributions reflect the debate around the role of and challenges for cutting-edge 21st century meaningful technologies and advances such as artificial intelligence and robots, augmented reality and ubiquitous computing technologies and at the same time connecting them to different pedagogical approaches, types of learning settings, and application domains that can benefit from such technologies.

Lifelong Technology Enhanced Learning

Lifelong Technology Enhanced Learning
Author: Viktoria Pammer-Schindler,Mar Pérez-Sanagustín,Hendrik Drachsler,Raymond Elferink,Maren Scheffel
Publsiher: Springer
Total Pages: 667
Release: 2018-08-24
ISBN 10: 3319985728
ISBN 13: 9783319985725
Language: EN, FR, DE, ES & NL

Lifelong Technology Enhanced Learning Book Review:

This book constitutes the proceedings of the 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, held in Leeds, UK, in September 2018. The 42 full and short papers, 7 demo papers, and 23 poster papers presented in this volume were carefully reviewed and selected from 142 submissions. This year, the European Conference on Technology-Enhanced Learning (EC-TEL) will engage researchers, practitioners, educational developers, entrepreneurs and policy makers in a joint discussion on how to put science, technology and practice at the service of learning to embrace these challenges on the topic: Lifelong technology enhanced learning: Dealing with the complexity of 21st century challenges. /div Chapter "" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Persuasive Recommender Systems

Persuasive Recommender Systems
Author: Kyung-Hyan Yoo,Ulrike Gretzel,Markus Zanker
Publsiher: Springer Science & Business Media
Total Pages: 59
Release: 2012-08-17
ISBN 10: 146144702X
ISBN 13: 9781461447023
Language: EN, FR, DE, ES & NL

Persuasive Recommender Systems Book Review:

Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding influential factors in advice seeking relationships, which is abundant in the context of human-human relationships, can provide an important framework for identifying potential influence factors in recommender system context. This book reviews the existing literature on the factors in advice seeking relationships in the context of human-human, human-computer, and human-recommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are discussed.

Learning in the Synergy of Multiple Disciplines

Learning in the Synergy of Multiple Disciplines
Author: Ulrike Cress,Vania Dimitrova,Marcus Specht
Publsiher: Springer Science & Business Media
Total Pages: 813
Release: 2009-09-15
ISBN 10: 3642046355
ISBN 13: 9783642046353
Language: EN, FR, DE, ES & NL

Learning in the Synergy of Multiple Disciplines Book Review:

toparticipateactivelyinknowledgecommunicationandknowledgeconstruction, mobile and ubiquitous computing technologies enable the integration of inf- mal and formal learning support.

Educational Recommender Systems and Technologies Practices and Challenges

Educational Recommender Systems and Technologies  Practices and Challenges
Author: Santos, Olga C.
Publsiher: IGI Global
Total Pages: 362
Release: 2011-12-31
ISBN 10: 161350490X
ISBN 13: 9781613504901
Language: EN, FR, DE, ES & NL

Educational Recommender Systems and Technologies Practices and Challenges Book Review:

Recommender systems have shown to be successful in many domains where information overload exists. This success has motivated research on how to deploy recommender systems in educational scenarios to facilitate access to a wide spectrum of information. Tackling open issues in their deployment is gaining importance as lifelong learning becomes a necessity of the current knowledge-based society. Although Educational Recommender Systems (ERS) share the same key objectives as recommenders for e-commerce applications, there are some particularities that should be considered before directly applying existing solutions from those applications. Educational Recommender Systems and Technologies: Practices and Challenges aims to provide a comprehensive review of state-of-the-art practices for ERS, as well as the challenges to achieve their actual deployment. Discussing such topics as the state-of-the-art of ERS, methodologies to develop ERS, and architectures to support the recommendation process, this book covers researchers interested in recommendation strategies for educational scenarios and in evaluating the impact of recommendations in learning, as well as academics and practitioners in the area of technology enhanced learning.

Recommender Systems

Recommender Systems
Author: Charu C. Aggarwal
Publsiher: Springer
Total Pages: 498
Release: 2016-03-28
ISBN 10: 3319296590
ISBN 13: 9783319296593
Language: EN, FR, DE, ES & NL

Recommender Systems Book Review:

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.

Re engineering the Uptake of ICT in Schools

Re engineering the Uptake of ICT in Schools
Author: Frans Van Assche,Luis Anido,David Griffiths,Cathy Lewin,Sarah McNicol
Publsiher: Springer
Total Pages: 201
Release: 2015-08-11
ISBN 10: 331919366X
ISBN 13: 9783319193663
Language: EN, FR, DE, ES & NL

Re engineering the Uptake of ICT in Schools Book Review:

This book reports on a novel and comprehensive approach to the uptake of ICT in Schools. It focuses on key questions, pedagogically sound ways of introducing ICT, new technical artifacts supporting the approach, the evaluation in a large-scale validator, and future work. While many innovations in Technology Enhanced Learning (TEL) have emerged over the last two decades, the uptake of these innovations has not always been very successful, particularly in schools. The transition from proof of concept to integration into learning activities has been recognized as a bottleneck for quite some time. This major problem, which is affecting many TEL stakeholders, is the focus of this book which focuses on developing a more effective and efficient approach based on more than 2500 pilots in European classrooms. Teachers, head teachers, and policy makers may benefit from reading how novel learning scenarios can be elaborated, adapted to a local context, and implemented in the classroom; how new technologies can support this process for teachers and their national/regional communities; how teachers and other stakeholders can be educated in such a re-engineering process; how the approach can be scaled up through MOOCs, ambassador schemes, and train-the-trainer programs; how future classroom labs can inspire teachers, head teachers, and policy makers; how teachers and, above all, learners can become more engaged in learning through the adoption of the iTEC approach. Readers with a more technical focus may also be interested in the discussion of recommender systems, the flexible provision of resources and services, the deployment of the cloud in schools, and systems for composing technological support for lesson plans.

Advances in Web based Learning ICWL 2011

Advances in Web based Learning   ICWL 2011
Author: Howard Leung,Elvira Popescu,Yiwei Cao,Rynson W.H. Lau,Wolfgang Nejdl
Publsiher: Springer
Total Pages: 334
Release: 2012-02-10
ISBN 10: 3642258131
ISBN 13: 9783642258138
Language: EN, FR, DE, ES & NL

Advances in Web based Learning ICWL 2011 Book Review:

This book constitutes the refereed proceedings of the 10th International Conference on Web-Based Learning, ICWL 2011, held in Hong Kong, China, in December 2011. The 27 revised full papers presented together with 9 short papers were carefully reviewed and selected from about 100 submissions. The papers report on research results or novel applications in web-based learning and address issues such as technology enhanced learning, personalized and adaptive learning, computer support for intelligent tutoring, intelligent tools for visual learning, Web-based learning for oriental languages learning, game-based learning, personal learning environments, computer supported collaborative learning, Web 2.0 and social learning environments, intelligent learner and group modeling, human factors and affective computing for learning, e-learning platforms and tools, design, model and framework of e-learning systems, deployment, organization and management of learning objects, e-learning metadata and standards, semantic Web and ontologies for e-learning, mobile, situated and blended learning, pedagogical issues, as well as practice and experience sharing.

Mining Intelligence and Knowledge Exploration

Mining Intelligence and Knowledge Exploration
Author: Rajendra Prasath,T. Kathirvalavakumar
Publsiher: Springer
Total Pages: 845
Release: 2013-12-16
ISBN 10: 3319038443
ISBN 13: 9783319038445
Language: EN, FR, DE, ES & NL

Mining Intelligence and Knowledge Exploration Book Review:

This book constitutes the proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2013, held in Tamil Nadu, India on December 2013. The 82 papers presented were carefully reviewed and selected from 334 submissions. The papers cover the topics such as feature selection, classification, clustering, image processing, network security, speech processing, machine learning, information retrieval, recommender systems, natural language processing, language, cognition and computation and other certain problems in dynamical systems.

Proceedings of the International Conference on Information Technology Systems ICITS 2018

Proceedings of the International Conference on Information Technology   Systems  ICITS 2018
Author: Álvaro Rocha,Teresa Guarda
Publsiher: Springer
Total Pages: 1160
Release: 2018-01-04
ISBN 10: 3319734504
ISBN 13: 9783319734507
Language: EN, FR, DE, ES & NL

Proceedings of the International Conference on Information Technology Systems ICITS 2018 Book Review:

This book includes a selection of articles from the 2018 International Conference on Information Technology & Systems (ICITS 18), held on January 10 – 12, 2018, at the Universidad Estatal Península de Santa Elena, Libertad City, Ecuador. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, lessons learned and the challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered include information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; and information technologies in education.