This unique workbook promotes an active, hands-on, constructivist approach to the study of the Psychology of Learning, one that follows Bloom's (1956) taxonomy of instructional objectives. The constructivist approach encourages the reader to discover the answers to problems rather than simply look up solutions in a book. This approach assumes that, for information to be remembered, the reader must discover information and manipulate it by checking new information against old information, revising assumptions, beliefs, and knowledge when the old information no longer seems to work. This workbook replaces the passivity of memorizing definitions and procedures with the activities of graphing and interpreting of functional relations—the pillars of theory. Learning and Variables; Functions and Graphs; Basic Principles of Pavlovian Conditioning; Complexities of Pavlovian Conditioning; The Rescorla-Wagner Model; Principles of Operant Conditioning; "Creating" Behavior (Shaping); Schedules of Reinforcement; What Is a Reinforcer?; Punishment and Avoidance; "Simple" Stimulus Control; "Complex" Stimulus Control (Cognitive Processes); Choice and Self-Control (Allocation of Behavior).
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Historically, the study of learning has been at the center of American and British psychology. Thousands of books and research articles have been written on the subject. Even to the casual reader, it is clear that there is no shortage of published materials on learning.
With regard to textbooks, however, we believe the currently available choices fall short in two major ways. First, the goal of condensing the large domain of learning into a textbook of manageable size often results in a dense, encyclopedic, and overwhelmingly passive presentation of historical and contemporary findings. Inevitably, perhaps, the most common remark we have heard from students of learning concerning their textbook is, "Boring!" Second, functional relations, when presented at all, are buried under a pile of facts and experimental procedures. As a consequence, students' learning is impoverished because the variation of functions is overshadowed by the variety of facts; the primary is overshadowed by the secondary. Worst of all, the skills required to understand and use functional relations—skills crucial in learning as in any other experimental science—are simply not taught.
One of the goals of the present workbook is to reduce or eliminate these two shortcomings. Although we do not deny the necessity of surveying the vast field of learning, or of learning basic definitions, procedures, and experimental outcomes, we believe that a course's content must also illuminate and animate the core ideas of the corresponding discipline. To that end, our workbook promotes an active, hands-on, constructivist approach to the study of learning by generally following Bloom's (1956) taxonomy of instructional objectives. Without a more active means of learning the content of learning, students are likely to resort to rote memorization alone, which results in little lasting knowledge of the fundamental ideas of learning or of the many ways to use them. In this case, the benefit of having taken a learning course is ephemeral at best, null at worst, for as Keller and Schoenfeld (1995/1950) wrote in their landmark textbook, a person who takes away from a "course nothing more than a large body of disconnected and sketchily examined items of fact, method, or theory has only a superficial and temporary advantage over the person who never attended the course" (p. LXIII).
To supplement the passive and encyclopedic content of many learning textbooks, our workbook relies heavily on the use of functional relations and their visual representation. Our work with students at a large public university (Indiana University), a small private liberal arts college (University of Redlands), and a foreign university (University of Minho) suggests that guessing, drawing, interpreting, and revising functional relations are excellent exercises to learn about learning and many aspects of the scientific approach, such as how variables are manipulated, controlled, and interrelated; how transient and steady-state analyses, or rates of change and asymptotes, point to different processes; and how theories progress from qualitative to quantitative stages. Moreover, as a take-home message, the visual representation of functional relations may be worth a thousand verbal definitions. It is one thing for students to memorize the definition of feedback function in the study of reinforcement schedules, but it is quite another thing for students to draw a picture that matches the definition, to identify the important properties of the picture, and then to change the picture to deal with a new problem.
To the Instructor
No book can be all things to all people. This workbook is no different. As William James (1890) remarked, "the art of being wise is the art of knowing what to overlook" (p. 369). We have chosen to overlook specialized topics and theories that are of limited utility in understanding the fundamental phenomena of learning. We have also chosen to overlook controversial or poorly specified interpretations, concepts, and theories whose illumination are better suited to face-to-face interchanges between students and instructors than by completing exercises in a workbook. In contrast, what we have done is select those topics that we would want all of our students—not just those who will take more advanced courses in learning—to remember long after a course is over. T o increase the likelihood of this happening, we have replaced the passivity of memorizing definitions and procedures with the activities of graphing and interpreting functional relations -- the pillars of theory. We hope that we have chosen wisely.
Each chapter in the workbook corresponds roughly to a chapter or major sections of a chapter found in most primary learning textbooks, and begins with a brief review of the subject matter of the chapter. The introductory notes do not replace the content of students' primary learning textbooks or lecture notes, nor do they necessarily provide a summary of these textbooks or all the information needed to complete the exercises that follow. For that, students must use their textbooks and, perhaps more importantly, consult with their invaluable instructor and/or teaching assistant. When more extensive background information than is typically presented in textbooks is needed to solve an exercise, that information is usually presented in the exercise itself rather than in the introductions. The primary purpose of the introductions is to remind students of some of the topics that they read in their textbook or discussed in class. The secondary purpose is to, where appropriate, use the introductions to tutor students further about information that is presented in their textbooks. For example, information about cumulative records is routinely presented in learning textbooks, but detailed information teaching students on how to read these important indicators is typically absent. Similarly, most learning textbooks summarize the Rescorla-Wagner equation and the matching law, but few teach students how to use and understand these important equations. Finally, the tertiary purpose of the introductions is to stimulate and motivate students t o reread their textbooks and/or speak with their instructors. Then, following Bloom's (1956) taxonomy of instructional objectives, exercises are generally organized in the following manner:
As much as possible, we tried to develop exercises from a constructivist approach. This approach assumes that, for information to be remembered long after a course is over, students must discover information and manipulate it by checking new information against old information, revising assumptions, beliefs, and knowledge when the old information no longer seems to work. Such student-centered instruction is the basis for the active learning we try to promote with the workbook. There is no doubt that some questions are challenging. By its very nature, discovery is difficult.
Based upon previous use with our students, the exercises are ranked roughly in order of difficulty (which tends to follow Bloom's taxonomy of instructional objectives). For undergraduates, individual instructors can assign as many or as few questions from a chapter as they wish. We can say that we have assigned every question in the workbook to undergraduates. With some help—sometimes a lot of help—most undergraduates in our courses have been able to solve the exercises. For graduate students, our experience suggests that they will benefit from doing all questions, even those that are seemingly easy. These questions work well for review. No student has ever accused us of not challenging them, and many comment positively about being challenged and on the usefulness of the exercises for helping them learn the course material.
How could you use this workbook? We have used it in several ways with undergraduate students. For example:
For graduate students, the more challenging exercises in the latter half of each chapter are appropriate for an introductory graduate-level course in learning or for teaching assistants wanting a deeper understanding of learning. A Solutions Manual with answers to all exercises and additional thoughts about the problems is available from the publisher.
To the Student
In this workbook, we invite you to summarize, integrate, extend, and evaluate the most important facts, principles, and theories of learning. We challenge you to generate verbal hypotheses, to then draw them in a graph, to revise them, to consider data from various perspectives, to ponder a puzzle for five, ten, fifteen, twenty minutes and more, to relate concepts included in different chapters from your course's primary textbook, to criticize theories, to compare the content of your textbook with your common sense, and to delve into the rich subject of learning by talking with your instructor. In short, we invite you to be intellectually active.
Every exercise in the workbook has been class-tested by our students over the years. Yet, every time we teach another section of learning, new students manage to provide invaluable feedback for how to further improve the exercises. In this same tradition, we welcome any comments.
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Book Description Prentice Hall. Book Condition: New. Brand New. Bookseller Inventory # 0130917680
Book Description Pearson, 2004. Paperback. Book Condition: New. Bookseller Inventory # DADAX0130917680
Book Description Pearson, 2004. Paperback. Book Condition: New. book. Bookseller Inventory # 0130917680
Book Description Pearson, 2004. Book Condition: New. Brand new! Please provide a physical shipping address. Bookseller Inventory # 9780130917683
Book Description Pearson, 2004. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Module 1: Learning and Variables. Module 2: Graphs and Functions. Module 3: Habituation and Its Properties. Module 4: Basic Principles of Pavlovian Conditioning. Module 5: Complexities of Pavlovian Conditioning. Module 6: The Rescorla-Wagner Model: The Basics. Module 7: The Rescorla-Wagner Model: Advanced Issues. Module 8: Reinforcement. Module 9: "Creating" Behavior: Shaping. Module 10: Schedules of Reinforcement. Module 11: Punishment, Escape, and Avoidance. Module 12: "Simple" Stimulus Control. Module 13: "Complex" Stimulus Control. Module 14: Choice and Preference: The Basics of Matching Law. Module 15: Extensions of the Matching Law. Bookseller Inventory # ABE_book_new_0130917680
Book Description Pearson. PAPERBACK. Book Condition: New. 0130917680 New Condition. Bookseller Inventory # NEW4.0045379
Book Description Prentice Hall, 2003. Paperback. Book Condition: Brand New. workbook edition. 150 pages. 11.00x8.75x0.25 inches. In Stock. Bookseller Inventory # 0130917680
Book Description Pearson, 2004. Paperback. Book Condition: New. Bookseller Inventory # P110130917680