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Planning for Deep Learning Using TPACK-based Learning Activity Types
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, , School of Education, College of William & Mary, United States

Society for Information Technology & Teacher Education International Conference, in Savannah, GA, United States ISBN 978-1-939797-13-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

Teaching for students’ deep learning, while rooted in venerable 20th-century educational research and theory contributed by Vygotsky, Dewey, and others, is taking on a new urgency as heretofore theoretical depictions of 21st-century learning are being operationalized in K-12 classrooms. What is the nature of deep learning? What are the pedagogical roles and practices that encourage it? How can we help teachers to plan learning experiences for and with their students that encourage and support deep learning, incorporating the use of digital tools and resources in maximally effective ways? This chapter uses extant literature on deep learning, teaching for deep learning, and recent calls for teachers’ enhanced “pedagogical capacities” (Fullan & Langworthy, 2014) to argue for a reconceptualized use of TPACK-based learning activity types in educational planning for students’ deep learning.

Citation

Harris, J. & Hofer, M. (2016). Planning for Deep Learning Using TPACK-based Learning Activity Types. In G. Chamblee & L. Langub (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 2864-2871). Savannah, GA, United States: Association for the Advancement of Computing in Education (AACE). Retrieved April 22, 2019 from .

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