Innovative Learning Analytics For Evaluating Instruction
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Innovative Learning Analytics for Evaluating Instruction
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.
Contemporary Technologies in Education
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.
Handbook of Research in Online Learning
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.