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Praise for Effective Instruction for STEM Disciplines "The world of today's learners is a multimode, information-intensive universe of interactive bursts and virtual exchanges, yet our teaching methods retain the outdated characteristics of last generation's study-and-drill approach. New pedagogical methods, detailed and justified in this groundbreaking work, are essential to prepare students to confront the concerns of the future. The book challenges our traditional assumptions and informs the science, technology, engineering, and mathematics (STEM) community of the latest research on how the brain learns and retains information, how enhanced student engagement with subject material and its context is essential to deep learning, and how to use this knowledge to structure STEM education approaches that work." --DAVID V. KERNS, JR., Franklin and Mary Olin Distinguished Professor of Electrical and Computer Engineering, and founding provost, Olin College "Every STEM faculty member should have this book. It provides a handy introduction to the 'why and how' of engaging students in the learning process." --DAVID VOLTMER, professor emeritus, Rose-Hulman Institute of Technology, and American Society for Engineering Education Fellow "The poor quality of math and science education and the shortage of well-qualified graduates are acknowledged almost daily in the U.S. press. Here the authors provide much-needed insights for educators seeking to improve the quality of STEM education as well as to better prepare students to solve the problems they will confront in our increasingly technology-driven world." --KEITH BUFFINTON, interim dean of engineering, Bucknell University
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Seitenzahl: 385
Veröffentlichungsjahr: 2011
Cover
Title
Copyright
Series
Dedication
Foreword
Preface
Acknowledgments
About the Authors
1 Is There a Problem?
Some Evidence for the Problem
What Do Others Think?
Summary
What’s Coming Up
2 Learning and Memory
What Happens in a Typical Class Period?
Models of the Learning Process
A Historical Note
The Process of Constructing Knowledge
The Overall Model
What Happens to Material in Working Memory?
Working Memory Has Limited Capacity
What Is Long-Term Memory?
How Is Material Stored in Long-Term Memory?
What Happens as Students Learn?
An Analogy Between Schemata and Web Pages
Perception, Processing, and Schemata
Building Schemata
What Is the Present State?
Visualizing Schemata Using Concept Maps
Summary
What’s Coming Up
3 Perception
What Do We Want Students to Get from the Perception Stage?
The Presentation
Some Further Points
Summary
What’s Coming Up
4 Processing and Active Learning
Integrating Perceptions into Long-Term Memory—Processing
What Could Happen as Learners Process Material?
Getting to the Evidence
The Evidence for Active Learning
Reflections on the Evidence for the Effectiveness of Active Learning
Questions About the Meaning of the Evidence
Summary
What’s Coming Up
5 Bloom’s Taxonomy of Educational Objectives
Do We Understand What’s Wrong?
Getting to Know Bloom’s Taxonomy
Summary
What’s Coming Up
6 Interactive Engagement and Active Learning
The Testing Phenomenon
What Is a Retrieval Event?
Testing Phenomenon Active Learning Techniques
Desirable Difficulties
Some Active Learning Techniques—Ways to Practice Retrieval
Summary
What’s Coming Up
7 Some Active Learning Techniques
Reciprocal Teaching
The Method of Contrasting Cases
Making Lecturing Interactive
Contextual Interference
What Kinds of Text Materials Are Good?
Summary
What’s Coming Up
8 Problem-Based Learning
A Historical Note
What Is the Problem?
The Problem Is the Problems
What Makes a Good Problem?
Putting It All together
Collaborative and Cooperative Learning
Summary
What’s Coming Up
9 Transfer
Robust Learning
Working Toward Transfer
Summary
What’s Coming Up
10 Teaching for Transfer
Long-Term Retention
Decontextualization
Some Other Observations
Hugging and Bridging
Using Analogies
Summary
What’s Coming Up
11 Applications
Some Reflections
Some Things to Consider
Working Through the Learning Sequence
Addressing Misconceptions
Perception
Processing
And Then There’s Transfer
Collaborative Learning
Our Final Reflections
Some Final Words
Appendix Bloom’s Taxonomy and Educational Outcomes
Course Outcomes
Knowledge Representations Depend on the Level in Bloom’s Taxonomy
Glossary
References
Index
End User License Agreement
cover
content
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Cover
Table of Contents
Begin Reading
2 Learning and Memory
Figure 2.1 The Simplified Atkinson–Shiffren Memory Model (1968)
Figure 2.2 A More Complete Memory Model
Figure 2.3 Simple Expression of Kirchhoff’s Current Law
Figure 2.4 Complex Structure of Kirchhoff’s Current Law
Figure 2.5 Concept Map
Figure 2.6 Initial Concept Map for Chemical Reaction Engineering
Figure 2.7 Final Concept Map for Chemical Reaction Engineering
4 Processing and Active Learning
Figure 4.1. Two Channel Model of the Memory System
8 Problem-Based Learning
Figure 8.1 A Simple Operational Amplifier Circuit
Figure 8.2 An Operational Amplifier Weighted Summation Circuit
9 Transfer
Figure 9.1 Abstract Schema Linked to Several Applications
6 Interactive Engagement and Active Learning
Table 6.1 Some Experiments Comparing Studying and Testing
7 Some Active Learning Techniques
Table 7.1 Levels Attained in Bloom’s Taxonomy
Edward J. Mastascusa
William J. Snyder
Brian S. Hoyt
Maryellen Weimer
Consulting Editor
Copyright © 2011 by John Wiley & Sons, Inc. All rights reserved.
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Library of Congress Cataloging-in-Publication Data
Mastascusa, E. J.
Effective instruction for STEM disciplines: from learning theory to college teaching / Edward J. Mastascusa, William J. Snyder, Brian S. Hoyt.
p. cm. -- (The Jossey-Bass higher and adult education series)
Includes bibliographical references and index.
ISBN 978-0-470-47445-7 (hardback)
9781118025925 (ebk)
9781118025932 (ebk)
9781118025949 (ebk)
1. College teaching. 2. Effective teaching. 3. Learning. I. Snyder, William J., 1941- II. Hoyt, Brian S., 1963- III. Title.
LB2331.E41 2011
378.1'25--dc22
2011002096
The Jossey-Bass Higher and Adult Education Series
We dedicate this book to our parents, families, and all our students.
When I first read this book as a manuscript, I was impressed. Here was a group of engineers willing to say that teachers in the science, technology, engineering, and math (STEM) disciplines ought to be looking at the research on learning and implementing it in their classrooms. They deliver this message clearly, unequivocally, and with compelling logic.
They aren’t the first or only ones to point out the need for change. In a review of the research on active learning, Joel Michael (2006) of the Department of Molecular Biophysics and Physiology at Rush Medical College writes
As scientists, we would never think of writing a grant proposal without a thorough knowledge of the relevant literature, nor would we go into the laboratory to actually do an experiment without knowing about the most current methodologies being employed in the field. Yet, all too often, when we go into the classroom to teach, we assume that nothing more than our expert knowledge of the discipline and our accumulated experiences as students and teachers are required to be a competent teacher. But this makes no more sense in the classroom than it would in the laboratory. The time has come for all of us to practice ‘evidence-based’ teaching. (p. 165)
Engineers are precise and systematic, and these authors are no exception. They move through the research carefully, explaining in readable prose what has been documented and what those who teach in these disciplines ought to do about it. The changes they advocate are sensible and doable. The authors write cognizant of the realities of higher education—increasing class sizes, students not as well prepared as they once were, and students beset with pressures that often diminish the time and energy they can devote to study. They write knowing about those aspects of instruction teachers can control (like when and how to use PowerPoint) and those beyond their control (like the configuration of the rooms and labs where they teach). They also write with the voice of experience. They have tried the changes they recommend, and they are willing to admit that some of their first attempts were not as successful as subsequent ones.
It is unusual, but highly appropriate, in books on teaching and learning to hear the voice of experience coupled with careful study of the literature. The book then becomes what Michael calls for in his quote—a description of what “evidence-based teaching” looks like in the STEM disciplines. The description of teaching laid out in this book is encouraging because, although it calls for change, many of the changes are not all that radical. For example, these authors point to research documenting that taking an exam can be a significant learning experience. That requires faculty to reconsider the design of exam experiences and help students see their learning potential beyond how many points exams are worth. In another chapter, based on research, they recommend against telling stories when presenting concepts. Anecdotes may interest the students, but stories can distract and muddle the mental models students need to be creating. They offer sanguine advice illustrated with examples showing how problems currently assigned can be reformulated and used in problem-based learning activities. After reading the book, it’s hard to understand why more faculty aren’t making the changes consistent with research findings.
You will find this an eminently readable book. It makes educational research understandable—no small accomplishment, given that educational research, like research in so many of our fields, is written to inform research more often than practice. The authors write with voice—you can hear them talking, you can tell that they’re college teachers themselves. They make their way through the topics in a conversational style with an occasional interjection of humor.
It is a book written by engineers who imagine that learning can be built much like the structures and circuits they construct. Even though learning construction may not be quite as definitive as electrical engineering, teaching can be designed so that it more directly and systematically promotes learning. This book shows how that happens and how to make changes in your teaching to better facilitate learning for students.
Maryellen WeimerProfessor Emeritus, Penn State University
Michael, J. “Where’s the Evidence That Active Learning Works?” Advances in Physiology Education, 30, 159–167, 2006
Think back to when you were a new college professor—or ahead to that time if you are just starting. You have just finished your PhD, have accepted a teaching position at a college, and are about to face your first class. What do you do?
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