Learning Sciences Research for Teaching
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Learning Sciences Research for Teaching

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Description

Often, required research methods courses seem tangential or distant from the goal of teaching Masters programs. This well-organized volume from learning sciences addresses this issue, introducing methods in a thorough but approachable way specifically meant to help teachers use research to augment their teaching. Identifying qualitative and quantitative approaches, analyzing key methods, and describing how teachers can use these tools to effectively adapt research for their own classrooms, this is a practical toolkit grounded in a deep understanding of both the present and future of the field.show more

Product details

  • Paperback
  • Taylor & Francis Ltd
  • ROUTLEDGE
  • London, United Kingdom
  • English
  • 113890290X
  • 9781138902909

About Crina Damsa

Jan Van Aalst is Associate Professor in the Faculty of Education at the University of Hong Kong. Crina Damsa is on the Faculty of Educational Sciences in the Department of Education at the University of Oslo. Jin Mu is a Guest Scholar in the Department of Philosophy at the University of Passau. Sydney Msonde is a teacher educator in the College of Education at the University of Dodoma.show more

Table of contents

SECTION A: FOUNDATIONS. Chapter 1: Introduction. Chapter 2: Understanding and Locating Research Publications. Chapter 3: The Empirical Research Article. Chapter 4: Research Methodology. Chapter 5: Research Validity and Ethics. Chapter 6: Measuring Variables Related to Learning. SECTION B: SELECTED APPROACHES. Chapter 7: Experiments. Chapter 8: Case Studies. Chapter 9: Educational Design Research. Chapter 10: Survey Research. SECTION C: SELECTED METHODS. Chapter 11: Collecting and Processing Data in Qualitative Research. Chapter 12: Coding and data Analysis in Qualitative Research. Chapter 13: Quantitative Analysis of Discourse. Chapter 14: Elementary Statistical Analysis of Categorical Data. Chapter 15: Analysis of Means and Variability in Two-sample Quantitative Data. Chapter 16: Analysis of Variance. Chapter 17: Correlation, Regression Analysis, and Beyond. SECTION D: PROPOSING RESEARCH. Chapter 18: The Research Proposal.show more