The Art Of Interactive Teaching
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The Art of Interactive Teaching
In this book, Selma Wassermann, international expert on classroom interactions, sets the stage for the relevance of the interactive teaching method, provides data and classroom examples that support its effectiveness at all student learning levels and in different subject areas, and offers detailed and specific help for teachers who are considering embarking on this approach to teaching. Coverage includes "teaching to the big ideas," preparing students, and the basics of developing good listening, responding, and questioning skills in an interactive discussion. A chapter on learning to become reflective practitioners deals with how teachers may become more aware of what they are saying and in better control of framing responses and questions in the art of interactive teaching. The book draws from the author’s long experience and study of interactive teaching using the case method rooted in the Harvard Business School’s approach to large class instruction.
The Art of Interactive Teaching
Interdisciplinary, International, Intercultural CONTRIBUTIONS from around the world EXPLORE & DISCUSS THE LATEST DEVELOPMENTS IN DESIGN, PRODUCTION, IMPLEMENTATION, RESEARCH, EVALUATION, & PEDAGOGICAL INNOVATIONS USING CASES, SIMULATIONS, GAMES, VIDEOS & OTHER INTERACTIVE TEACHING METHODS. Topics included: A Dialogue of the Deaf - Deepening Cultural Competence Through International, Live, Case-based Teaching - Compressing the Cultural Adaptation Learning Curve - Strategic Management: Evaluating the Case Method - Teaching Interrelationships Among Disciplines - Development of Reflective Thought Processes - Problem Solving & the Core Curriculum - Criteria for Case Selection - Learning Effects on Students - Interaction-based Self-Assessment - Teamwork Among Social Work Students - Service Learning in Higher Ed - Managing Across Cultural Boundaries - International Management of Change - Contingency & Case-design - Managing & Coaching Critical Thinking - Effective Case-writing - Case Research in a Global Environment - Case Development & Case-teaching in the Context of Scarce Resources. Other volumes: CASE METHOD RESEARCH & APPLICATION: INNOVATION THROUGH COOPERATION (ISBN 1-877868-05-1), FORGING NEW PARTNERSHIPS (ISBN 1-877868-04-3), MANAGING CHANGE (ISBN 1-877868-03-5), PROBLEM SOLVING (ISBN 1-877868-02-7), NEW VISTAS (ISBN 1-877868-01-9). Contact: World Association for Case Method Research & Application, 23 Mackintosh Ave., Needham, MA 02191; 617-444-8982; FAX 617-444-1548; [email protected].
Interactive Task Learning
Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King