1st International Conference On Learning Analytics And Knowledge

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Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)

Author : Tutut Herawan
Publisher : Springer Science & Business Media
ISBN 13 : 9814585181
Total Pages : 728 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) by : Tutut Herawan

Download or read book Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) written by Tutut Herawan and published by Springer Science & Business Media. This book was released on 2013-12-14 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence

Data Mining and Learning Analytics

Author : Samira ElAtia
Publisher : John Wiley & Sons
ISBN 13 : 1118998219
Total Pages : 351 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia and published by John Wiley & Sons. This book was released on 2016-09-20 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Learning Analytics

Author : Johann Ari Larusson
Publisher : Springer
ISBN 13 : 1461433053
Total Pages : 203 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Learning Analytics by : Johann Ari Larusson

Download or read book Learning Analytics written by Johann Ari Larusson and published by Springer. This book was released on 2014-07-04 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.

Developing Effective Educational Experiences through Learning Analytics

Author : Anderson, Mark
Publisher : IGI Global
ISBN 13 : 1466699841
Total Pages : 380 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Developing Effective Educational Experiences through Learning Analytics by : Anderson, Mark

Download or read book Developing Effective Educational Experiences through Learning Analytics written by Anderson, Mark and published by IGI Global. This book was released on 2016-04-07 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of students’ learning experiences is a critical concern for all higher education institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Developing Effective Educational Experiences through Learning Analytics is a pivotal reference source that focuses on the adoption of data mining and analysis techniques in academic institutions, examining how this collected information is utilized to improve the outcome of student learning. Highlighting the relevance of data analytics to current educational practices, this book is ideally designed for researchers, practitioners, and professionals actively involved in higher education settings.

Transformative Digital Technology for Effective Workplace Learning

Author : Ria O'Donnell
Publisher : CRC Press
ISBN 13 : 1000514137
Total Pages : 201 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Transformative Digital Technology for Effective Workplace Learning by : Ria O'Donnell

Download or read book Transformative Digital Technology for Effective Workplace Learning written by Ria O'Donnell and published by CRC Press. This book was released on 2021-12-23 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world bursting with new information, ideas, opportunities, and technological advancements, it is time to rethink how continuous learning shapes our future. Amidst the ongoing digital revolution, widespread educational reform, and the most significant global pandemic of our lifetimes, we are at a pivotal time in history. Transformative Digital Technology for Effective Workplace Learning explores the technological developments that are rapidly unfolding in the workplace and those that support workplace training. What emerges is that the rate of change and the possibilities for improvement are more extensive than many of us might have suspected. From artificial intelligence to virtual reality, from data analytics, to adaptive learning, there is the capacity for significant innovation and opportunity if harnessed in the right ways. The book offers an overview of several critical issues that face the future of the workplace and examines them through the lens of lifelong learning. The book begins by conveying the current impacts on the workplace and how the internal function of Learning and Development has evolved. It then considers the eight learning imperatives that drive workplace learning and then looks at the future workplace. Exploring technological frameworks for digitally enhanced workplace learning, the book takes a deep dive into the capabilities of immersive technologies, as well as into the insights enabled through learning analytics. The goal of this book is not to merely describe technological advancements in the workplace but instead, to challenge the status quo and think critically about the future that lies ahead. One aim is to have business leaders understand the necessity for ongoing workplace learning. Another is that individuals appreciate that lifelong learning is the new social norm. Ongoing education allows people to become more open to change and less anxious about new experiences. Developing a growth mindset and adopting a company culture that says everyone can learn new things and continue to improve their performance will become the standard. Most importantly, as the business world is reconfigured before our very eyes, ongoing learning must become an economic imperative.

Big Data and Learning Analytics in Higher Education

Author : Ben Kei Daniel
Publisher : Springer
ISBN 13 : 3319065203
Total Pages : 287 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Big Data and Learning Analytics in Higher Education by : Ben Kei Daniel

Download or read book Big Data and Learning Analytics in Higher Education written by Ben Kei Daniel and published by Springer. This book was released on 2016-08-27 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns.

Open World Learning

Author : Bart Rienties
Publisher : Routledge
ISBN 13 : 1000512231
Total Pages : 324 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Open World Learning by : Bart Rienties

Download or read book Open World Learning written by Bart Rienties and published by Routledge. This book was released on 2022-01-25 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides state-of-the-art contemporary research insights into key applications and processes in open world learning. Open world learning seeks to understand access to education, structures, and the presence of dialogue and support systems. It explores how the application of open world and educational technologies can be used to create opportunities for open and high-quality education. Presenting ground-breaking research from an award winning Leverhulme doctoral training programme, the book provides several integrated and cohesive perspectives of the affordances and limitations of open world learning. The chapters feature a wide range of open world learning topics, ranging from theoretical and methodological discussions to empirical demonstrations of how open world learning can be effectively implemented, evaluated, and used to inform theory and practice. The book brings together a range of innovative uses of technology and practice in open world learning from 387,134 learners and educators learning and working in 136 unique learning contexts across the globe and considers the enablers and disablers of openness in learning, ethical and privacy implications, and how open world learning can be used to foster inclusive approaches to learning across educational sectors, disciplines and countries. The book is unique in exploring the complex, contradictory and multi-disciplinary nature of open world learning at an international level and will be of great interest to academics, researchers, professionals, and policy makers in the field of education technology, e-learning and digital education. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Computer Assisted Assessment -- Research into E-Assessment

Author : Marco Kalz
Publisher : Springer
ISBN 13 : 331908657X
Total Pages : 175 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Computer Assisted Assessment -- Research into E-Assessment by : Marco Kalz

Download or read book Computer Assisted Assessment -- Research into E-Assessment written by Marco Kalz and published by Springer. This book was released on 2014-06-05 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Computer Assisted Assessment, CAA 2014, held in Zeist, The Netherlands, in June/July 2014. The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address issues such as large-scale testing facilities in higher education; formative assessment for 21st century skills; future trends for technology-enhanced assessment; latest advancements of technologies; practical experiences.

International Handbook of Computer-Supported Collaborative Learning

Author : Ulrike Cress
Publisher : Springer Nature
ISBN 13 : 3030652912
Total Pages : 669 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis International Handbook of Computer-Supported Collaborative Learning by : Ulrike Cress

Download or read book International Handbook of Computer-Supported Collaborative Learning written by Ulrike Cress and published by Springer Nature. This book was released on 2021-10-08 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: CSCL has in the past 15 years (and often in conjunction with Springer) grown into a thriving and active community. Yet, lacking is a comprehensive CSCL handbook that displays the range of research being done in this area. This handbook will provide an overview of the diverse aspects of the field, allowing newcomers to develop a sense of the entirety of CSCL research and for existing community members to become more deeply aware of work outside their direct area. The handbook will also serve as a ready reference for foundational concepts, methods, and approaches in the field. The chapters are written in such a way that each of them can be used in a stand-alone fashion while also serving as introductory readings in relevant study courses or in teacher education. While some CSCL-relevant topics are addressed in the International Handbook of the Learning Sciences and the International Handbook of Collaborative Learning, these books do not aim to present an integrated and comprehensive view of CSCL. The International Handbook of Computer- Supported Collaborative Learning covers all relevant topics in CSCL, particularly recent developments in the field, such as the rise of computational approaches and learning analytics.

Learning Sciences Research for Teaching

Author : Jan van Aalst
Publisher : Taylor & Francis
ISBN 13 : 131744924X
Total Pages : 373 pages
Book Rating : 4.3/5 (174 download)

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Book Synopsis Learning Sciences Research for Teaching by : Jan van Aalst

Download or read book Learning Sciences Research for Teaching written by Jan van Aalst and published by Taylor & Francis. This book was released on 2022-01-20 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Sciences Research for Teaching provides educators with a fresh understanding of the use and implications of learning sciences scholarship on their studies and professional preparation. A highly interdisciplinary field, the learning sciences has been expressly focused on the advancement of teaching and learning in today’s schools. This introductory yet cutting-edge resource supports graduate students of teaching, leadership, curriculum, and learning design in research methodology courses as they engage with and evaluate research claims; integrate common methods; and understand experimental, case-based, ethnographic, and design-based research studies. Spanning the learning science’s state-of-the-art approaches, achievements, and developments, the book includes robust, accessible coverage of topics such as professional development, quantitative and qualitative data, learning analytics, validity and integrity, and more. Please visit https://dple.nl/learning-sciences-research-for-teaching for additional resources, exercises, and a brief video introduction from the authors!

Open Science in Engineering

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3031424670
Total Pages : 1125 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Open Science in Engineering by : Michael E. Auer

Download or read book Open Science in Engineering written by Michael E. Auer and published by Springer Nature. This book was released on 2023-12-31 with total page 1125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The REV Conference is the annual conference of the International Association of Online Engineering (IAOE) together with the Global Online Laboratory Consortium (GOLC). REV 2023 is the 20th in a series of annual events concerning the area of online engineering, cyber-physical systems and Internet of things, including remote engineering and virtual instrumentation. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of online and remote engineering, virtual instrumentation, and other related new technologies, including: Cross-reality Open Science Internet of Things and Industrial Internet of Things Industry 4.0 Cyber-security M2M and smart objects.

Learning and Collaboration Technologies. Learning and Teaching

Author : Panayiotis Zaphiris
Publisher : Springer
ISBN 13 : 331991152X
Total Pages : 557 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Learning and Collaboration Technologies. Learning and Teaching by : Panayiotis Zaphiris

Download or read book Learning and Collaboration Technologies. Learning and Teaching written by Panayiotis Zaphiris and published by Springer. This book was released on 2018-07-09 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 10924 and 10925 constitute the refereed proceedings of the 5th International Conference on Learning and Collaboration Technologies, LCT 2018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, in Las Vegas, NV, USA in July 2018. The 1171 papers presented at HCII 2018 conferences were carefully reviewed and selected from 4346 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The papers in this volume are organized in the following topical sections: designing and evaluating systems and applications, technological innovation in education, learning and collaboration, learners, engagement, motification, and skills, games and gamification of learning, technology-enhanced teaching and assessment, computing and engineering education.

Practicable Learning Analytics

Author : Olga Viberg
Publisher : Springer Nature
ISBN 13 : 3031276469
Total Pages : 217 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Practicable Learning Analytics by : Olga Viberg

Download or read book Practicable Learning Analytics written by Olga Viberg and published by Springer Nature. This book was released on 2023-03-30 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about practicable learning analytics, that is able to become a successful part of practice, ultimately leading to improved learning and teaching. The aim of the book is to shift our perspective on learning analytics creation and implementation from that of “designing of” technology to that of “designing for” a system of practice. That is, any successful implementation of learning analytics requires a systematic approach, which the book explains through the lens of the Information Systems Artefact, constituting of the three interdependent artefacts: “technical”, “information” and “social”. The contributions of this book go beyond a consideration of particular humans such as teachers and students, and their individual activities to consider the larger systems of activity of which analytics become part of. The chapters included in this book present different cases of learning analytics implementation across countries, and the related opportunities and challenges related to generalizability of the results. The book is written for designers, students and educators of learning analytics who aim to improve learning and teaching through learning analytics.

Impact of Learning Analytics on Curriculum Design and Student Performance

Author : Kumar Singh, Manoj
Publisher : IGI Global
ISBN 13 : 1522553703
Total Pages : 234 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Impact of Learning Analytics on Curriculum Design and Student Performance by : Kumar Singh, Manoj

Download or read book Impact of Learning Analytics on Curriculum Design and Student Performance written by Kumar Singh, Manoj and published by IGI Global. This book was released on 2018-02-02 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of students’ learning experiences is a critical concern for all educational institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Impact of Learning Analytics on Curriculum Design and Student Performance is a critical scholarly resource that examines the connection between learning analytics and evaluations and their impact on curriculum design and student performance in educational institutions. Featuring coverage on a broad range of topics, such as academic support, large scale assessment, and educational research methods, this book is geared towards educators, professionals, school administrators, researchers, and practitioners in the field of education.

Learning Analytics: Fundaments, Applications, and Trends

Author : Alejandro Peña-Ayala
Publisher : Springer
ISBN 13 : 3319529773
Total Pages : 310 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Learning Analytics: Fundaments, Applications, and Trends by : Alejandro Peña-Ayala

Download or read book Learning Analytics: Fundaments, Applications, and Trends written by Alejandro Peña-Ayala and published by Springer. This book was released on 2017-02-17 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

Applications of Big Data Analytics

Author : Mohammed M. Alani
Publisher : Springer
ISBN 13 : 3319764721
Total Pages : 219 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Applications of Big Data Analytics by : Mohammed M. Alani

Download or read book Applications of Big Data Analytics written by Mohammed M. Alani and published by Springer. This book was released on 2018-07-23 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

Data Analytics Applications in Education

Author : Jan Vanthienen
Publisher : CRC Press
ISBN 13 : 1351650181
Total Pages : 292 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Data Analytics Applications in Education by : Jan Vanthienen

Download or read book Data Analytics Applications in Education written by Jan Vanthienen and published by CRC Press. This book was released on 2017-09-29 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.