UID:
almahu_9949385313702882
Format:
1 online resource (xxxviii, 232 pages)
Edition:
First edition.
ISBN:
9781003194620
,
1003194621
,
9781000539004
,
1000539008
,
9781000538939
,
1000538931
Series Statement:
Data Analytics Applications
Content:
"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
Note:
1 Leveraging Learning Analytics for Assessment and FeedbackDirk Ifenthaler and Samuel Greiff2 Desperately Seeking the Impact of Learning Analytics in Education at Scale: Marrying Data Analysis with Teaching and LearningOlga Viberg and Åke Grönlund3 Designing for Insights: An Evidenced-Centered Approach to Learning AnalyticsKara N. McWilliams, Kristen Herrick, K. Becca Runyon, and Andreas Oranje4 Implementing Learning Analytics at Scale in an Online World: Lessons Learned from the Open University UKBart Rienties5 Realizing the Potential of Learning Analytics: Reflections from a PandemicMohammad Khalil, Paul Prinsloo, and Sharon Slade6 Using Learning Analytics and Instructional Design to Inform, Find, and Scale Quality Online LearningJohn Fritz, Mariann Hawken, and Sarah Shin7 Democratizing Data at a Large R1 Institution: Supporting Data-Informed Decision Making for Advisers, Faculty, and Instructional DesignersChris Millet, Jessica Resig, and Bart Pursel8 The Benefits of the 'New Normal': Data Insights for Improving Curriculum Design, Teaching Practice, and LearningDeborah West and Pablo Munguia9 Learning Information, Knowledge, and Data Analysis in Israel: A Case StudyMoria Levy and Ronit Nehemia10 Scaling Up Learning Analytics in an Evidence-Informed WayJustian Knobbout and Esther van der Stappen11 The Role of Trust in Online LearningJoanna Paliszkiewicz and Edyta Skarzyńska12 Face Detection with Applications in EducationJuan Carlos Bonilla-Robles, José Alberto Hernández Aguilar, and Guillermo Santamaría-Bonfil
Additional Edition:
Print version: Online Learning Analytics. [Place of publication not identified] : Auerbach Publications, 2021 ISBN 1032047771
Additional Edition:
ISBN 9781032047775
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9781003194620
URL:
https://www.taylorfrancis.com/books/9781003194620
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