Overview
- Links educational research and practice through examples of theory-driven, data-driven, and practice-oriented research
- Applies concepts and methods from a range of social and health science areas into an interdisciplinary methodological approach
- Provides methodological and statistical analysis plans for a wide range of research questions and designs
- Unites research approaches that tend to have different units of analysis
- Provides examples from a wide variety of statistical software
Part of the book series: Springer Texts in Education (SPTE)
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Table of contents (17 chapters)
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Common Questions
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Variable Types
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Variable Networks
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Time Series
Keywords
- Learning Process(es)
- Educational Research
- Experimental Research in Education
- Small-sample Research in Education
- Case Studies in Education
- Statistical Learning in Education
- Statistical Testing and Estimation
- Decision-making in Education
- Assessment in Education
- Longitudinal Assessment
- Educational Measurement
- Social Network Analysis
- Dynamic Networks in Education
- Progress Testing
- Time Series Analysis
- learning and instruction
About this book
By uniting key concepts and methods from education, psychology, statistics, econometrics, medicine, language, and forensic science, this textbook provides an interdisciplinary methodological approach to study human learning processes longitudinally. This longitudinal approach can help to acquire a better understanding of learning processes, can inform both future learning and the revision of educational content and formats, and may help to foster self-regulated learning skills.
The initial section of this textbook focuses on different types of research questions as well as practice-driven questions that may refer to groups or to individual learners. This is followed by a discussion of different types of outcome variables in educational research and practice, such as pass/fail and other dichotomies, multi-category nominal choices, ordered performance categories, and different types of quantifiable (i.e., interval or ratio level of measurement) variables. For each of these typesof outcome variables, single-measurement and repeated-measurements scenarios are offered with clear examples. The book then introduces cross-sectional and longitudinal interdependence of learning-related variables through emerging network-analytic methods and in the final part the learned concepts are applied to different types of studies involving time series. The book concludes with some general guidelines to give direction to future (united) educational research and practice. This textbook is a must-have for all applied researchers, teachers and practitioners interested in (the teaching of) human learning, instructional design, assessment, life-long learning or applications of concepts and methods commonly encountered in fields such as econometrics, psychology, and sociology to educational research and practice.Reviews
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About the author
Bibliographic Information
Book Title: The Art of Modelling the Learning Process
Book Subtitle: Uniting Educational Research and Practice
Authors: Jimmie Leppink
Series Title: Springer Texts in Education
DOI: https://doi.org/10.1007/978-3-030-43082-5
Publisher: Springer Cham
eBook Packages: Education, Education (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-43081-8Published: 07 April 2020
eBook ISBN: 978-3-030-43082-5Published: 06 April 2020
Series ISSN: 2366-7672
Series E-ISSN: 2366-7680
Edition Number: 1
Number of Pages: XXVII, 264
Number of Illustrations: 14 b/w illustrations, 55 illustrations in colour
Topics: Educational Psychology, Learning & Instruction, Research Methods in Education, Applied Statistics, Medical Education