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Author: Kiran Sood (Professor of business) Publisher: ISBN: 9781774915950 Category : Education Languages : en Pages : 0
Book Description
"Emerging educational technologies and innovative practices are and can be used to address core global educational challenges, spanning from rethinking and transforming learning environments across educational contexts to effectively cultivating students' competencies for the innovative digital society of the future. This new volume showcases how digital analytics (DA) is one of these emerging new trends that uses new technologies to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments. The book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. Such technological tools for quantitative and qualitative data analysis and data mining techniques as artificial intelligence, deep learning, cloud computing, big data, machine learning are discussed in the context of educational digital analytics. This book traces the links to descriptive, predictive, and prescriptive analytics to assess, evaluate, record, predict, and prescribe issues related to student progress, participation, performance, personalization, and empowerment in academic and curricular activities. Taking into serious consideration the United Nations' Sustainable Development Goal 4, which aims to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all," the chapter authors explore a plethora of important themes, such as the benefits of digitization of education the role of digitalization in education and training in inclusive learning edtech digital platforms to support digitalization in education assessing student engagement, students' learning abilities and challenges, and student performance educational institutions' evaluation of employee job satisfaction levels the role of social media in the digitization of education, as well as a disruptor e-mentorship in education employing digital education for citizenship education and much more Taking a holistic approach in the teaching and implementation of data tools from both micro and macro perspectives, Digital Analytics Applications for Sustainable Training and Education will be valuable to academic researchers, faculty and advanced students, educational administrators and policymakers, and others involved in the important field of education"--
Author: Kiran Sood (Professor of business) Publisher: ISBN: 9781774915950 Category : Education Languages : en Pages : 0
Book Description
"Emerging educational technologies and innovative practices are and can be used to address core global educational challenges, spanning from rethinking and transforming learning environments across educational contexts to effectively cultivating students' competencies for the innovative digital society of the future. This new volume showcases how digital analytics (DA) is one of these emerging new trends that uses new technologies to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments. The book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. Such technological tools for quantitative and qualitative data analysis and data mining techniques as artificial intelligence, deep learning, cloud computing, big data, machine learning are discussed in the context of educational digital analytics. This book traces the links to descriptive, predictive, and prescriptive analytics to assess, evaluate, record, predict, and prescribe issues related to student progress, participation, performance, personalization, and empowerment in academic and curricular activities. Taking into serious consideration the United Nations' Sustainable Development Goal 4, which aims to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all," the chapter authors explore a plethora of important themes, such as the benefits of digitization of education the role of digitalization in education and training in inclusive learning edtech digital platforms to support digitalization in education assessing student engagement, students' learning abilities and challenges, and student performance educational institutions' evaluation of employee job satisfaction levels the role of social media in the digitization of education, as well as a disruptor e-mentorship in education employing digital education for citizenship education and much more Taking a holistic approach in the teaching and implementation of data tools from both micro and macro perspectives, Digital Analytics Applications for Sustainable Training and Education will be valuable to academic researchers, faculty and advanced students, educational administrators and policymakers, and others involved in the important field of education"--
Author: Kiran Sood Publisher: CRC Press ISBN: 1003856160 Category : Education Languages : en Pages : 520
Book Description
Digital analytics is an emerging new trend used in education to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments. Taking into consideration the UN's Sustainable Development Goal 4, which aims to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all," this new book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. It demonstrates how artificial intelligence, deep learning, cloud computing, big data, and machine learning can be used to assess, evaluate, record, and predict student progress, participation, performance, personalization, and empowerment in academic and curricular activities.
Author: Sheila Jagannathan Publisher: Routledge ISBN: 1000391221 Category : Education Languages : en Pages : 352
Book Description
Reimagining Digital Learning for Sustainable Development is a comprehensive playbook for education leaders, policy makers, and other key stakeholders leading the modernization of learning and development in their institutions as they build a high value knowledge economy and prepare learners for jobs that don't yet exist. Currently, nearly every aspect of human activity, including the ways we absorb and apply learning, is influenced by disruptive digital technologies. The jobs available today are no longer predicators of future employment, and current and future workforce members will need to augment their competencies through a lifetime of continuous upskilling and reskilling to meet the demands of the Fourth Industrial Revolution. This book features curated insights and real-world cases from thought leaders throughout the world and identifies major shifts in content formats, pedagogic approaches, technology frameworks, user and design experiences, and learner roles and expectations that will reshape our institutions, including those in emerging economies. The agile, lean, and cost-effective strategies proposed here will function in scalable and flexible bandwidth environments, enabling education leaders and practitioners to transform brick-and-mortar learning organizations into digital and blended ecosystems and to achieve the United Nation’s ambitious Sustainable Development Goals by 2030. Chapter 18 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Author: Jan Vanthienen Publisher: CRC Press ISBN: 1498769284 Category : Business & Economics Languages : en Pages : 265
Book Description
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.
Author: Tabatha Farney Publisher: American Library Association ISBN: 0838916856 Category : Language Arts & Disciplines Languages : en Pages : 186
Book Description
Focusing on digital analytics principles and concepts, this book walks you through the many tools available, including step-by-step examples for typical library needs.
Author: Samira ElAtia Publisher: John Wiley & Sons ISBN: 1118998219 Category : Computers Languages : en Pages : 351
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: Jay Liebowitz Publisher: Auerbach Publications ISBN: 9781032047775 Category : Computer-assisted instruction Languages : en Pages : 232
Book Description
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.
Author: Johann Ari Larusson Publisher: Springer ISBN: 1461433053 Category : Education Languages : en Pages : 203
Book Description
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.
Author: Beverly A. Burnell Publisher: CRC Press ISBN: 148220679X Category : Business & Economics Languages : en Pages : 210
Book Description
This new book presents both research (qualitative, quantitative, and mixed-design) and conceptual chapters about the ethical factors to be considered in teaching, administration, and professional practice in higher education settings. The book includes recent research-based ideas in the field of higher education. Topics include cultural competencie
Author: Wadim Strielkowski Publisher: Springer Nature ISBN: 3031281314 Category : Business & Economics Languages : en Pages : 466
Book Description
The proceedings volume provides an account of the pandemic-inspired policy changes in leadership, entrepreneurship, and sustainable development. The volume is a collection of papers presented at the 2022 International Leadership Conference hosted by the Prague Institute for Qualification Enhancement (PRIZK), Czech Republic. The focus of the conference was to outline positive changes for leadership in business and economics based on the lessons learned during the pandemic. The enclosed selection of papers describe the digital surge in business, economics, and education, as well as the development of frontier technologies caused by the COVID-19 lockdown periods. They also provide new insights into the concepts of leadership, entrepreneurship, and sustainable development post the COVID-19 pandemic. Finally, the papers define the new place and role of leadership within the context of global initiatives in sustainability such as the European Union's Green Deal and the United Nations' Sustainable Development Goals (SGDs).