Recommender Systems for Technology Enhanced Learning

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.

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Author: Nikos Manouselis

Publisher: Springer Science & Business Media

ISBN: 9781493905300

Category: Computers

Page: 306

View: 457

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

Learning, an active cognitive activity, differs from one learner to another.

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Author: Lydia Odilinye

Publisher:

ISBN: OCLC:1144862121

Category:

Page: 108

View: 460

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

39(1), 6–36 (2014) Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H.,
Koper, R.: Recommender systems in technology enhanced learning. In: Rokach,
L., Shapira, B., Kantor, P., Ricci, F. (eds.) Recommender Systems Handbook: A ...

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Author: Pierpaolo Vittorini

Publisher: Springer Nature

ISBN: 9783030525385

Category: Technology & Engineering

Page: 272

View: 940

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)

Methodologies and Intelligent Systems for Technology Enhanced Learning

Personalizing E-Learning 2.0 Using Recommendations Martina Holenko Dlab1,
Natasa Hoic-Bozic1, and Jasminka ... Recommender systems support users in
accessing information available on the Web. ... Methodologies and Intelligent
Systemsfor Technology Enhanced Learning, Advances in Intelligent Systems and
 ...

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Author: Tania Di Mascio

Publisher: Springer

ISBN: 9783319076980

Category: Computers

Page: 207

View: 914

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

... M. Friedrich, Issues and considerations regarding sharable data sets for
recommender systems in technology enhanced learning. Procedia Comput. Sci.
1(2), 2849–2858 (2010a). doi:10.1016/j.procs.2010.08.010 H. Drachsler, K.
Verbert, ...

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Author: Nikos Manouselis

Publisher: Springer Science & Business Media

ISBN: 9781461443612

Category: Computers

Page: 76

View: 612

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.

Recommender Systems Handbook

Towards automated evaluation of learning resources inside repositories. Special
issue on Recommender Systems for Technology Enhanced Learning: Research
Trends & Applications, Springer Berlin (2014) Chen, C.M., Duh, L.-J.: ...

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Author: Francesco Ricci

Publisher: Springer

ISBN: 9781489976376

Category: Computers

Page: 1003

View: 315

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.

Computational Intelligence for Technology Enhanced Learning

Learning. Based. Tourism. Information. System. Using. Ant. Colony. Metaphor.
Soumya Banerjee1, Monica Chis2, and G.S. ... Birla Institute of Technology,
International Center, Mauritius 2 Siemens Program and System Engineering (
Siemens PSE) Romania 3 Department ... a travel information and recommender
system which could provide suitable recommendations to prospective travelers
for tours and ...

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Author: Fatos Xhafa

Publisher: Springer Science & Business Media

ISBN: 9783642112232

Category: Mathematics

Page: 250

View: 322

E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.

Ubiquitous Learning Environments and Technologies

Chapter 9 Recommendation Systems for Personalized Technology-Enhanced
Learning Mohamed Koutheaïr Khribi, Mohamed Jemni and Olfa Nasraoui
Abstract From e-commerce to e-learning, recommendation systems have given
birth to an ...

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Author: Kinshuk

Publisher: Springer

ISBN: 9783662446591

Category: Education

Page: 258

View: 714

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.

Educational Recommender Systems and Technologies Practices and Challenges

This success has motivated research on how to deploy recommender systems in
educational scenarios to facilitate access ... of recommendations in learning, as
well as academics and practitioners in the area of technology enhanced learning
 ...

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Author: Santos, Olga C.

Publisher: IGI Global

ISBN: 9781613504901

Category: Education

Page: 362

View: 449

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.

Technology Enhanced Learning

Data mining techniques were used to create a recommender system . In
particular , we used clustering and association rule mining . User models ( user
profiles ) that were generated by data mining can be used to recommend online
students ...

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Author: Dragan Gasevic

Publisher: Igi Global

ISBN: UOM:39015076179749

Category: Computers

Page: 388

View: 543

With the shift towards the knowledge society, the change of working conditions, and the high-speed evolution of information and communication technologies, peoples' knowledge and skills need continuous updating. Learning based on collaborative working, creativity, multidisciplinarity, adaptiveness, intercultural communication, and problem solving has taken on an important role in everyday life.""Technology Enhanced Learning: Best Practices"" goes beyond traditional discussion on technology enhanced learning to provide research and insights on increasing the efficiency of learning for individuals and groups, facilitating the transfer and sharing of knowledge in organizations, and understanding of the learning process by exploring links among human learning, cognition, and technologies. This Premier Reference Source offers estimable, comprehensive research to researchers and practitioners in the field of technology enhanced learning in various disciplines, including education, sociology, information technology, workplace learning, entertainment, healthcare, tourism, and many others.

Mining Intelligence and Knowledge Exploration

In addition to the successful adaptation of recommender systems (RSs) in a wide
variety of applications such as movie, ... technology enhanced learning (TEL)
community has also extensively employed the recommendation technology for ...

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Author: Rajendra Prasath

Publisher: Springer

ISBN: 9783319038445

Category: Computers

Page: 845

View: 298

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.

Advances in Web based Learning ICWL 2011

Recommender systems can be helpful in order to find these resources. However,
the domain of Technology Enhanced Learning (TEL) has special requirements.
For example, in TEL there are different audiences in different stages of achieved
 ...

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Author: Howard Leung

Publisher: Springer Science & Business Media

ISBN: 9783642258121

Category: Computers

Page: 334

View: 726

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.

Creating New Learning Experiences on a Global Scale

Second European Conference on Technology Enhanced Learning, EC-TEL
2007, Crete, Greece, September 17-20, 2007, ... Personalized Links
Recommendation Based on Data Mining in Adaptive Educational Hypermedia
Systems Cristóbal ...

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Author: Erik Duval

Publisher: Springer Science & Business Media

ISBN: 9783540751946

Category: Education

Page: 520

View: 222

This book constitutes the refereed proceedings of the Second European Conference on Technology Enhanced Learning, EC-TEL 2007, held in Crete, Greece in September 2007. The papers presented were carefully reviewed and selected from 116 submissions. The conference provides a unique forum for all research related to technology-enhanced learning, as well as its interactions with knowledge management, business processes and work environments.

Scaling up Learning for Sustained Impact

8th European Conference on Technology Enhanced Learning, EC-TEL 2013,
Paphos, Cyprus, September 17-21, 2013, ... We argue that recommender
systems in the prevalent occurrence cannot be used directly in TEL systems, but
must be ...

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Author: Davinia Hernández-Leo

Publisher: Springer

ISBN: 9783642408144

Category: Computers

Page: 650

View: 729

This book constitutes the refereed proceedings of the 8th European Conference on Technology Enhanced Learning, EC-TEL 2013, held in Paphos, Cyprus, in September 2013. The 31 full papers, 18 short papers, 14 demonstrations and 29 posters presented were carefully reviewed and selected from 194 submissions. The papers are organized in topical sections. The topics addressed include open educational resources (OER), massive open online courses (MOOC), schools of the future, orchestration of learning activities, learning networks, teacher networks, bring your own device (BYOD), social media, learning analytics, personalization, mobile learning, computer-supported collaborative learning, game-based and simulation-based learning, and learning design.

Social Information Retrieval Systems Emerging Technologies and Applications for Searching the Web Effectively

More specifically, content-based recommender systems may be enhanced by
evaluation metadata that will include some ... Recommendation Systems
requirements for an Evaluation Metadata Framework In the field of learning
technologies, ...

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Author: Goh, Dion

Publisher: IGI Global

ISBN: 9781599045450

Category: Business & Economics

Page: 396

View: 357

The wealth of information accessible on the Internet has grown exponentially since its advent. This mass of content must be systemically sifted to glean pertinent data, and the utilization of the collective intelligence of other users, or social information retrieval, is an innovative, emerging technique. Social Information Retrieval Systems: Emerging Technologies & Applications for Searching the Web Effectively provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this Premier Reference Source will make an indispensable addition to any library collection.

Computer Science and Educational Software Design

A Resource for Multidisciplinary Work in Technology Enhanced Learning Pierre
Tchounikine ... Regarding types of systems, educational software may
correspond to a variety of cases such as: • Intelligent Tutoring Systems, i.e., ...
Such prompts may be based on comparing learners' actions with a specific
reference (in such case, recommendation systems may be seen as close to an
ITS's matters of ...

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Author: Pierre Tchounikine

Publisher: Springer Science & Business Media

ISBN: 3642200036

Category: Education

Page: 180

View: 305

Developing educational software requires thinking, problematizing, representing, modeling, implementing and analyzing pedagogical objectives and issues, as well as conceptual models and software architectures. Computer scientists face the difficulty of understanding the particular issues and phenomena to be taken into account in educational software projects and of avoiding a naïve technocentered perspective. On the other hand, actors with backgrounds in human or social sciences face the difficulty of understanding software design and implementation issues, and how computer scientists engage in these tasks. Tchounikine argues that these difficulties cannot be solved by building a kind of “general theory” or “general engineering methodology” to be adopted by all actors for all projects: educational software projects may correspond to very different realities, and may be conducted within very different perspectives and with very different matters of concern. Thus the issue of understanding each others’ perspectives and elaborating some common ground is to be considered in context, within the considered project or perspective. To this end, he provides the reader with a framework and means for actively taking into account the relationships between pedagogical settings and software, and for working together in a multidisciplinary way to develop educational software. His book is for actors engaged in research or development projects which require inventing, designing, adapting, implementing or analyzing educational software. The core audience is Master’s and PhD students, researchers and engineers from computer science or human and social sciences (e.g., education, psychology, pedagogy, philosophy, communications or sociology) interested in the issues raised by educational software design and analysis and in the variety of perspectives that may be adopted.

Open Learning and Teaching in Educational Communities

9th European Conference on Technology Enhanced Learning, EC-TEL 2014,
Graz, Austria, September 16-19, 2014, Proceedings ... We propose to employ
graph-walking algorithms in order to improve the prediction accuracy of
recommendations. ... Which Recommender System Can Best Fit Social Learning
Platforms ...

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Author: Christoph Rensing

Publisher: Springer

ISBN: 9783319112008

Category: Education

Page: 602

View: 891

This book constitutes the refereed proceedings of the 9th European Conference on Technology Enhanced Learning, EC-TEL 2014, held in Graz, Austria, in September 2014. The 27 full papers and 18 short papers presented were carefully reviewed and selected from 165 submissions. They address topics such as informal learning, self-regulated and self-directed learning, reflective learning, inquiry based learning, communities of learners and communities of practice, learning design, learning analytics, personalization and adaptation, social media, computer supported collaborative learning, massive open online courses, schools and universities of the future.

Times of Convergence Technologies Across Learning Contexts

Third European Conference on Technology Enhanced Learning, EC-TEL 2008,
Maastricht, The Netherlands, September 16-19, 2008, Proceedings Pierre ...
Keywords: collaboration, media selection, knowledge work, recommender
system.

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Author: Pierre Dillenbourg

Publisher: Springer Science & Business Media

ISBN: 9783540876045

Category: Education

Page: 478

View: 623

The European Conference on Technology-Enhanced Learning (EC-TEL 2008) was the third event of a series that started in 2006. The two first editions were organized by Pro- Learn (http://www.prolearn-project.org/), a European Network of Excellence. In 2008, several members of Kaleidoscope, the other European Network of Excellence (http://www.noe-kaleidoscope.org/pub/), joined as co-chair, committee members, reviewers and authors. These two networks are no longer funded, but our aim was to turn EC-TEL into a sustainable series of high-quality events and thereby to contribute to the scientific landscape of technology-enhanced learning. A new network, named STELLAR, will be launched in 2009, with members from both existing networks as well as new members and will support the future editions of this conference. The scope of EC-TEL 2008 covered the different fields of learning technologies: e- cation, psychology, computer science. The contributions in this volume address the - sign of innovative environments, computational models and architectures, results of empirical studies on socio-cognitive processes, field studies regarding the use of te- nologies in context, collaborative processes, pedagogical scenarios, reusable learning objects and emerging objects, groups and communities, learning networks, interaction analysis, metadata, personalization, collaboration scripts, learning adaptation, collabo- tive environments, resources, tangible tools, as well as learning management systems.

Collaborative and Social Information Retrieval and Access Techniques for Improved User Modeling

Ontological User profiling in Recommender Systems, ACM Transactions on
Information Systems, 22(1), 54-88. ... Resource Development Ontology for
Combining Competence Management and Technology-Enhanced Workplace
Learning, ...

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Author: Chevalier, Max

Publisher: IGI Global

ISBN: 9781605663074

Category: Business & Economics

Page: 390

View: 653

"This book deals with the improvement of user modeling in the context of Collaborative and Social Information Access and Retrieval (CSIRA) techniques"--Provided by publisher.