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Author: Kumar Singh, Manoj
Publisher: IGI Global
ISBN: 1522553703
Category : Education
Languages : en
Pages : 234
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Book Description
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.
Author: Kumar Singh, Manoj
Publisher: IGI Global
ISBN: 1522553703
Category : Education
Languages : en
Pages : 234
Get Book Here
Book Description
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.
Author: Bhatt, Chintan
Publisher: IGI Global
ISBN: 1799800121
Category : Education
Languages : en
Pages : 180
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Book Description
Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.
Author: Connelly, James Orion
Publisher: IGI Global
ISBN: 1799815447
Category : Education
Languages : en
Pages : 195
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Book Description
With the rapid availability of information, it becomes essential to keep pace with this availability as well as process the information into knowledge that has real-world applications. Neuroscientific methods allow an approach to this problem based on the way that the human brain already operates. Over the centuries and through observation and trial and error, we already know a great deal about how we can teach and learn, but now we can verify this with scientific fact and discover previously unknown aspects of brain physiology. These observations of brain functioning have produced many learning theories, all of which have varying degrees of validity. These theories, in turn, give birth to theories and models of instructional design, which also have varying degrees of validity. A Conceptual Framework for SMART Applications in Higher Education: Emerging Research and Opportunities is a critical scholarly publication that explores how the brain acquires and processes information to turn information into knowledge and the role of SMART technology and how it combines and integrates visual and aural data to facilitate learning. The book also discusses ways to apply what is known about teaching to how the brain operates and how to incorporate instructional design models into the teaching and learning process. Highlighting various topics such as neurogenesis, smart technologies, and behaviorism, this book is essential for instructional designers, online instruction managers, teachers, academicians, administrators, researchers, knowledge managers, and students.
Author: Jan van den Akker
Publisher: Springer Science & Business Media
ISBN: 9401712050
Category : Education
Languages : en
Pages : 261
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Book Description
Curriculum problems are everywhere: alert observers with a practiced eye and educated mind will find it almost impossible to read a newspaper without discovering curricular issues. The media often report about educational reforms or even about curriculum wars with opposing parties fiercely debating the aims, content and organization of learning. Few people analyze these trends and discussions from a curricular conceptual framework. In addition, people sometimes think that their curriculum approaches and problems are unique and context-specific. However, international experience shows us that we can learn a lot from curriculum issues elsewhere. This book aims to sharpen the eyes and minds of a broader audience in identifying, understanding, addressing and reflecting upon curriculum problems. It also aims to contribute to the increased exchange, discussion and reflection on all the current curriculum problems that form such a crucial part of learning worldwide.
Author: Maren Scheffel
Publisher: Springer Nature
ISBN: 3030297365
Category : Education
Languages : en
Pages : 798
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Book Description
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.
Author: Jaime Lester
Publisher: John Wiley & Sons
ISBN: 1119478464
Category : Education
Languages : en
Pages : 155
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Book Description
Learning analytics (or educational big data) tools are increasingly being deployed on campuses to improve student performance, retention and completion, especially when those metrics are tied to funding. Providing personalized, real-time, actionable feedback through mining and analysis of large data sets, learning analytics can illuminate trends and predict future outcomes. While promising, there is limited and mixed empirical evidence related to its efficacy to improve student retention and completion. Further, learning analytics tools are used by a variety of people on campus, and as such, its use in practice may not align with institutional intent. This monograph delves into the research, literature, and issues associated with learning analytics implementation, adoption, and use by individuals within higher education institutions. With it, readers will gain a greater understanding of the potential and challenges related to implementing, adopting, and integrating these systems on their campuses and within their classrooms and advising sessions. This is the fifth issue of the 43rd volume of the Jossey-Bass series ASHE Higher Education Report. Each monograph is the definitive analysis of a tough higher education issue, based on thorough research of pertinent literature and institutional experiences. Topics are identified by a national survey. Noted practitioners and scholars are then commissioned to write the reports, with experts providing critical reviews of each manuscript before publication.
Author: Dr. Sagarika Dash
Publisher: REDSHINE Publication
ISBN: 9358090782
Category : Antiques & Collectibles
Languages : en
Pages : 283
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Book Description
Author: Olusola O. Adesope
Publisher: Springer
ISBN: 3319896806
Category : Education
Languages : en
Pages : 268
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Book Description
This edited volume provides a critical discussion of theoretical, methodological, and practical developments of contemporary forms of educational technologies. Specifically, the book discusses the use of contemporary technologies such as the Flipped Classroom (FC), Massive Open Online Course (MOOC), Social Media, Serious Educational Games (SEG), Wikis, innovative learning software tools, and learning analytic approach for making sense of big data. While some of these contemporary educational technologies have been touted as panaceas, researchers and developers have been faced with enormous challenges in enhancing the use of these technologies to arouse student attention and improve persistent motivation, engagement, and learning. Hence, the book examines how contemporary technologies can engender student motivation and result in improved engagement and learning. Each chapter also discusses the road ahead and where appropriate, uses the current trend to predict future affordances of technologies.
Author: Samira ElAtia
Publisher: John Wiley & Sons
ISBN: 1118998219
Category : Computers
Languages : en
Pages : 351
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Book Description
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.
Author: Benjamin Goldberg
Publisher: U.S. Army Combat Capabilities Development Command – Soldier Center
ISBN: 099772577X
Category : Computers
Languages : en
Pages : 194
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Book Description
This book on self-improving systems is the seventh in a planned series of books that examine key topics (e.g., learner modeling, instructional strategies, authoring, domain modeling, assessment, impact on learning, team tutoring, self-improving systems, data visualization) in intelligent tutoring system (ITS) design. This book focuses on self-improving systems. The discussion chapters in this book examine topics through the lens of the Generalized Intelligent Framework for Tutoring (GIFT). GIFT is a modular, service-oriented architecture created to reduce the cost and skill required to author ITSs, distribute ITSs, manage instruction within ITSs, and evaluate the effect of ITS technologies on learning, performance, retention, transfer of skills, and other instructional outcomes.
