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Active Learning Exercises for Research Methods in Social Sciences

Based on the premise that when students do something instead of simply reading about it, they understand it better, this book is composed of 29 hands-on, active learning activities for use in research methods courses in the social sciences. Research Methods can be a daunting class for students and Beth P. Skott's and Masjo Ward's book is designed to help alleviate that stress and help them become active learners. The activities in Active Learning Exercises for Research Methods in Social Sciences were created by instructors throughout the country and demonstrated to be effective in their classrooms. A variety of activities is included: group activities, solo activities, some that take a lot of time and others that take less time. Each one of them is directly related to a concept of research methods and aims to help students become better researchers.

Instruction and Training for Enhanced Reference Service Using Hands-On Active Learning Techniques

Categories of Fact and Finding Reference Resources

The training session for library databases will work best if done in conjunction
with or following a general training session on the reference interview process.
See also the chapter on "Keyword Searching" for a follow-up training session on
 ...

Active Learning

The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations

Recall that in machine learning parlance, a “hypothesis” is a particular
computational model which attempts to generalize or explain the training data,
and make predictions on new data instances. Let H denote the hypothesis space:
the set ofall hypotheses under consideration. For example,H could be comprised
of all possible weights assigned to parameters in a perceptron or a given neural
network structure, or all possible decision trees that use the input and output
variables as ...

The Principles of Learning and Behavior: Active Learning Edition

This active learning edition includes a new, built-in workbook that provides examples and exercises to help students practice and remember what they read in the text. In addition, students read graphs and make their own interpretations of what the information yields about behavior. Each exercise begins with a short lesson, and then has short assignments that range from 1 minute to 30 minutes worth of work -- some are short answer, some are projects, and some are more involved. The workbook also incorporates students exercises for SNIFFY THE VIRTUAL RAT, VERSION 2.0. Known for its currency and clear writing style, PRINCIPLES OF LEARNING AND BEHAVIOR provides a comprehensive and systematic introduction to elementary forms of learning that have been the focus of research for much of the twentieth century. The book covers habituation, classical conditioning, instrumental conditioning, stimulus control, aversive control, and their applications to the study of cognition and to the alleviation of behavior problems. Biological constraints on learning are integrated throughout the text, as are applications boxes that relate animal research to human learning and behavior. The book closely reflects the field of research it represents in terms of topics covered, theories discussed, and experimental paradigms described. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

MICHAEL DOMJAN is a Professor of Psychology at the University of Texas at
Austin, where he has taught learning to undergraduate and graduate students
since 1973. He also served as Department Chair from 1999–2005 and was the
Founding Director of the Imaging Research Center from 2005–2008. Professor
Domjan is noted for his functional approach to classical conditioning, which he
has pursued in studies of sexual conditioning and taste aversion learning. His
research was ...

41 Active Learning Strategies for the Inclusive Classroom, Grades 6–12

Keys to engaging secondary students Research shows that all students—regardless of learning style, disability category, or language difference—learn more effectively when they are engaged in active learning. This book shows teachers how to help all students achieve positive learning outcomes. The authors provide a compilation of strategies that serve as blueprints for instructional design and directions for using them across a variety of content areas. The many benefits of active learning include: A more engaged and interactive classroom Increased self-directed learning Development of higher-order thinking skills such as analysis, synthesis, evaluation Improved reading, discussion, and writing competencies

Explanation Throughout this book, we have explored interactive strategies
designed to engage students in their own learning. We freely acknowledge that
different types of lessons lend themselves best to different strategies. Listening
Teams ...

Social Studies Strategies for Active Learning

Encourages history teachers to adopt a highly participatory form of instruction in which students learn through activities such as simulations, debates, discussions, and research using primary sources. Contains links to other subjects in the curriculum.

Activity: Talking. and. Listening. to. One. Another. 1. Explain the type of primary
strategy being used: a debate, a lobbyist ... You can choose from among the
strategies discussed in this chapter or one that you have designed yourself. 2.
Pair the ...

Penggunaan Strategi active Learning Tipe Learning Strats With A Question Dalam Pembelajaran Matematika Di Kelas X SMAN 2 Sungai Tarab