Applying Data Science and Learning Analytics Throughout a Learner?s Lifespan
Language: English
Published by Igi Global Scientific Publishing, 2022
- Softcover
- Used
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- Title
- Applying Data Science and Learning Analytics Throughout a Learner?s Lifespan
- Author
- Trajkovski, Goran (EDT); Demeter, Marylee (EDT); Hayes, Heather (EDT)
- Publisher
- Igi Global Scientific Publishing
- Publication year
- 2022
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1799896455
- ISBN 13
- 9781799896456
Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.
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About the Author
Marylee Demeter possesses administrative and academic experience in higher education serving in assessment leadership and adjunct positions at Rutgers University and Middlesex County College. She championed efforts as Chair of the Professional Development Committee for the Student Affairs Assessment Leaders, where she collaboratively developed the MOOC “Developing and Leading Assessment in Student Affairs.” She currently serves as a Senior Assessment Developer at Western Governors University.
Heather Hayes , PhD, is a psychometrician for the Colleges of Information Technology and Business at Western Governors University. She has been involved in the construction and validation of both cognitive ability and personality assessments for over 20 years. Her research interests center on the conjoint use of cognitive theory and Item Response Theory to aid in the construct validation of test scores as well as to improve the test experience itself through computer adaptive testing and automatic item generation. Her current focus is application of this line of research to developing and validating educational tests for online, competency-based education programs.
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