Innovative Learning Analytics For Evaluating Instruction
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Innovative Learning Analytics For Evaluating Instruction
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Author : Theodore W. Frick
language : en
Publisher: Routledge
Release Date : 2021-07-19
Innovative Learning Analytics For Evaluating Instruction written by Theodore W. Frick and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Education categories.
Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.
Learning Analytics In Higher Education
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Author : Jaime Lester
language : en
Publisher: Routledge
Release Date : 2018-08-06
Learning Analytics In Higher Education written by Jaime Lester and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-06 with Education categories.
Learning Analytics in Higher Education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-known contributors provide empirical, theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators.
Contemporary Technologies In Education
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Author : Olusola O. Adesope
language : en
Publisher: Springer
Release Date : 2018-11-08
Contemporary Technologies In Education written by Olusola O. Adesope and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Education categories.
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.
Data Mining And Learning Analytics
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Author : Samira ElAtia
language : en
Publisher: John Wiley & Sons
Release Date : 2016-09-20
Data Mining And Learning Analytics written by Samira ElAtia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-20 with Computers categories.
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.
Handbook Of Research In Online Learning
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Author :
language : en
Publisher: BRILL
Release Date : 2024-10-02
Handbook Of Research In Online Learning written by and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Education categories.
As we navigate post-pandemic educational recovery and future-oriented design, the Handbook of Research in Online Learning: Insights and Advances emerges as a scholarly authority to illuminate existing questions and catalyze conversations on imperative transformations in education. Tailored for researchers, designers, educators, administrators, and stakeholders, this handbook delves into the nuanced landscape of online learning. Curated by leading experts, each chapter provides a deep exploration of critical online teaching and learning dimensions. Whether you're navigating the complexities of instructional design, exploring the impact of digital learning on diverse student populations, or delving into the transformative potential of AI, each chapter illuminates critical aspects of online education. It merges current significant works with unpublished manuscripts, embodying the interdisciplinary essence of online learning research. Grounded in diverse theoretical frameworks and research methods, it offers theoretical insights and actionable guidance for cutting-edge educational methodologies. This handbook is not just a compendium; it's an indispensable guide for shaping the future of education. Contributors are: Michael Ahlf, Stephen Allen, Tonya Amankwatia, Fatih Ari, Ismahan Arslan-Ari, Michael K. Barbour, Gail Alleyne Bayne, Karen Bellnier, M. Aaron Bond, Victoria Brown, George Bradford, William Cain, Sumie Chan, Lauren Cifuentes, Laura DaVinci, Gina Deckard, Shernette Dunn, Anne Fensie, Holly Fiock, Sara Flowers, Carla Karen Fortune, Theodore Frick, Michael M. Grant, Alexis Guethler, Dan He, Atsusi "2c" Hirumi, Charles B. Hodges, Stephanie Hostetter, Michael Houdyshell, Fethi A. Inan, Frank Jamison, Amir Kalan, Meryl Krieger, Jessica Lantz, Mary Lefaiver, Juhong Christie Liu, Noble Lo, Barbara Lockee, Fatemeh Marzban, Trey Martindale, Sara McNeil, Laura McNeill, Stephanie Moore, Martha Lorena Obermeier, Larisa Olesova, Jennifer Jihae Park, Sanghoon Park, Yujin Park, AnthTony Pina, Drew Polly, Yingxiao Qian, Thomas Reeves, Christiane Reilly, Jennifer Richardson, Aubrey Rogowski, Leanne Rutherford, Kay Seo, Sanga Song, Edwin Teye Sosi, Stefan Stenbom, Sharon Stidham, David Tai, Hengtao Tang, Torrey Trust, Shannon Tucker, Denis Unal, Lucas Vasconcelos, Charles Xiaoxue Wang, Florence Williams, Ying Xie and Fan Xu.
Big Data And Learning Analytics In Higher Education
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Author : Ben Kei Daniel
language : en
Publisher: Springer
Release Date : 2016-08-27
Big Data And Learning Analytics In Higher Education written by Ben Kei Daniel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Education categories.
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.
Embracing Diversity In The Learning Sciences
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Author : Yasmin B. Kafai
language : en
Publisher: Taylor & Francis
Release Date : 2012-10-12
Embracing Diversity In The Learning Sciences written by Yasmin B. Kafai and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-12 with Education categories.
More than a decade has passed since the First International Conference of the Learning Sciences (ICLS) was held at Northwestern University in 1991. The conference has now become an established place for researchers to gather. The 2004 meeting is the first under the official sponsorship of the International Society of the Learning Sciences (ISLS). The theme of this conference is "Embracing Diversity in the Learning Sciences." As a field, the learning sciences have always drawn from a diverse set of disciplines to study learning in an array of settings. Psychology, cognitive science, anthropology, and artificial intelligence have all contributed to the development of methodologies to study learning in schools, museums, and organizations. As the field grows, however, it increasingly recognizes the challenges to studying and changing learning environments across levels in complex social systems. This demands attention to new kinds of diversity in who, what, and how we study; and to the issues raised to develop coherent accounts of how learning occurs. Ranging from schools to families, and across all levels of formal schooling from pre-school through higher education, this ideology can be supported in a multitude of social contexts. The papers in these conference proceedings respond to the call.
Learning Analytics
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Author : Gwo-Jen Hwang
language : en
Publisher: Routledge
Release Date : 2018-12-18
Learning Analytics written by Gwo-Jen Hwang and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Education categories.
Learning analytics is one of the most important research issues in the field of educational technology. By analyzing logs and records in educational databases and systems, it can provide useful information to teachers, learners, and decision makers – information which they can use to improve teaching strategies, learning performances, and educational policies. However, it is a great challenge for most researchers to efficiently analyze educational data in a meaningful way. This book presents various learning analytics approaches and applications, including the process of determining the coding scheme, analyzing the collected data, and interpreting the findings. This book was originally published as a special issue of Interactive Learning Environments.
Innovative Techniques In Instruction Technology E Learning E Assessment And Education
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Author : Magued Iskander
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-20
Innovative Techniques In Instruction Technology E Learning E Assessment And Education written by Magued Iskander and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-20 with Computers categories.
Innovative Techniques in Instruction Technology, E-Learning, E-Assessment and Education is a collection of world-class paper articles addressing the following topics: (1) E-Learning including development of courses and systems for technical and liberal studies programs; online laboratories; intelligent testing using fuzzy logic; evaluation of on line courses in comparison to traditional courses; mediation in virtual environments; and methods for speaker verification. (2) Instruction Technology including internet textbooks; pedagogy-oriented markup languages; graphic design possibilities; open source classroom management software; automatic email response systems; tablet-pcs; personalization using web mining technology; intelligent digital chalkboards; virtual room concepts for cooperative scientific work; and network technologies, management, and architecture. (3) Science and Engineering Research Assessment Methods including assessment of K-12 and university level programs; adaptive assessments; auto assessments; assessment of virtual environments and e-learning. (4) Engineering and Technical Education including cap stone and case study course design; virtual laboratories; bioinformatics; robotics; metallurgy; building information modeling; statistical mechanics; thermodynamics; information technology; occupational stress and stress prevention; web enhanced courses; and promoting engineering careers. (5) Pedagogy including benchmarking; group-learning; active learning; teaching of multiple subjects together; ontology; and knowledge representation. (6) Issues in K-12 Education including 3D virtual learning environment for children; e-learning tools for children; game playing and systems thinking; and tools to learn how to write foreign languages.
Technology And Innovation In Learning Teaching And Education
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Author : Arsénio Reis
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Technology And Innovation In Learning Teaching And Education written by Arsénio Reis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Education categories.
This book constitutes the proceedings of the Third International Conference on Technology and Innovation in Learning, Teaching and Education, TECH-EDU 2022, was held in Lisbon, Portugal, in August/September 2022. The 21 full papers and 18 short paper presented in this volume were carefully reviewed and selected from 80 submissions. The papers are organized in the following topical sections: Emergent technologies in education; Online learning and blended learning; Computer science education and STEM; Digital tools and STEM learning; ICT and critical thinking in higher education; Digital transformation in higher education; Artificial Intelligence in Education.