Impact of Learning Analytics on Curriculum Design and Student Performance

Impact of Learning Analytics on Curriculum Design and Student Performance

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  • Author: Kumar Singh, Manoj
  • Publisher: IGI Global
  • ISBN: 1522553703
  • Category : Education
  • Languages : en
  • Pages : 215

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.


Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities

Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities

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  • Author: Bhatt, Chintan
  • Publisher: IGI Global
  • ISBN: 1799800121
  • Category : Education
  • Languages : en
  • Pages : 166

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.


A Conceptual Framework for SMART Applications in Higher Education: Emerging Research and Opportunities

A Conceptual Framework for SMART Applications in Higher Education: Emerging Research and Opportunities

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  • Author: Connelly, James Orion
  • Publisher: IGI Global
  • ISBN: 1799815447
  • Category : Education
  • Languages : en
  • Pages : 195

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.


Learning Analytics

Learning Analytics

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  • Author: Johann Ari Larusson
  • Publisher: Springer
  • ISBN: 1461433053
  • Category : Education
  • Languages : en
  • Pages : 195

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.


Learning Analytics in the Classroom

Learning Analytics in the Classroom

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  • Author: Jason M. Lodge
  • Publisher: Routledge
  • ISBN: 1351113011
  • Category : Education
  • Languages : en
  • Pages : 320

From Data and Analytics to the Classroom presents a coherent framework for useful translation of learning analytics research for educational practice with world-leading researchers in the use of data and analytics in education applying this framework to a number of different educational domains. The aim is to provide concrete ways to apply data and analytics to everyday educational practice. Thi book serves not only as a practical tool, but also as an instructional guide for educators. Through discussion and illustration it provides educators and researchers alike with the proper tools and frameworks to effectively make sense of and use data and analytics in their everyday practice.


Online Learning Analytics

Online Learning Analytics

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  • Author: Jay Liebowitz
  • Publisher: CRC Press
  • ISBN: 1000538931
  • Category : Education
  • Languages : en
  • Pages : 270

"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work." —Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors University Due to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes. Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learning Scaling up learning analytics in an evidence-informed way The role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.


Design Recommendations for Intelligent Tutoring Systems: Volume 7 - Self-Improving Systems

Design Recommendations for Intelligent Tutoring Systems: Volume 7 - Self-Improving Systems

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  • Author: Benjamin Goldberg
  • Publisher: U.S. Army Combat Capabilities Development Command – Soldier Center
  • ISBN: 099772577X
  • Category : Computers
  • Languages : en
  • Pages : 194

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.


Active and Transformative Learning in STEAM Disciplines

Active and Transformative Learning in STEAM Disciplines

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  • Author: Miltiadis D. Lytras
  • Publisher: Emerald Group Publishing
  • ISBN: 183753618X
  • Category : Education
  • Languages : en
  • Pages : 329

Active and Transformative Learning in STEAM Disciplines is a unique reference volume for the new student-centric and objectives-oriented learning environment where individual and team learning paths enhance problem solving capabilities.


Learning Differentiated Curriculum Design in Higher Education

Learning Differentiated Curriculum Design in Higher Education

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  • Author: John N. Moye Ph.D.
  • Publisher: Emerald Group Publishing
  • ISBN: 1838671161
  • Category : Education
  • Languages : en
  • Pages : 217

This book presents a comprehensive, systematic approach to the development of curricula in higher education in which each component is configured to optimize learning. The approach is based in an analysis of the psychophysics of the learner and employs theories of learning, instruction, and environment to design each component.


Learning and Knowledge Analytics in Open Education

Learning and Knowledge Analytics in Open Education

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  • Author: Feng-Qi Lai
  • Publisher: Springer
  • ISBN: 3319389564
  • Category : Education
  • Languages : en
  • Pages : 230

This book explores trends in learning and knowledge analytics in open education, as explored in proceedings papers from AECT-LKAOE 2015 International Research Symposium. The chapters investigate various issues surrounding open education in all disciplines, such as learning design in open-ended learning environments, MOOCs (Massive Open Online Courses), learning analytics studies and applications, and technology and new media. The chapter authors provide guidance for how to design and develop most effective, efficient, and appealing instruction as well as suggesting learning strategies relevant to the open education era.