
Decision-Based Learning
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Decision-Based Learning (DBL) is an innovative instructional strategy that uncovers the 'expert blind spot' to reveal the conditional knowledge that teachers (as experts) use to reason and act within the discipline. Instruction begins by modeling an expert's decision-making process through real-world scenarios, guiding students through the conditions that shape those decisions. Learning occurs through comparison/contrast with other possible conditions at each decision point. Concepts and procedures are learned when they are relevant to the decision. With DBL, students never have to ask, 'When does this apply?'
In this book you will read stories told by faculty who have redesigned their university courses using the Decision-Based Learning pedagogy and the impact this powerful strategy can have on student learning. It should be of use to anyone teaching and designing curricula in higher education.
More details
Other editions
Additional editions

Persons
Kenneth J. Plummer, PhD is a Teaching and Learning Consultant in the Center for Teaching & Learning at Brigham Young University. He also worked as a manager of research, evaluation, and assessment for an international educational organization.
Richard H. Swan, PhD has designed award-winning instructional software and now serves as an Associate Director of the Center for Teaching & Learning at Brigham Young University. He has worked in the field of educational development and instructional design for over 20 years.
Content
Chapter 2. How to use Decision-Based Learning; Kenneth J. Plummer
Chapter 3. I am not a Real Statistician; I Just Play One on TV; Lane Fischer, Kenneth J. Plummer, Heidi A. Vogeler, and Sara Moulton
Chapter 4. Make Thinking Explicit to Support Student Learning; Rebecca L. Sansom
Chapter 5. Creating an Expert Decision Model Designed to Improve Student Learning in First-Year General Chemistry Courses; Steven G. Wood
Chapter 6. Exploring Decision-Based Learning in an Engineering Context; Todd G. Nelson
Chapter 7. Decision-Based Learning in an Information Systems Course; Degan Kettles
Chapter 8. Decision-Based Learning in Multiple Regression and Structural Equation Modeling Courses; Shiloh James Howland and Ross A. A. Larsen
Chapter 9. Using Decision-Based Learning to Teach Qualitative Research Evaluation; Michael A. Owens and Emily R. Mills
Chapter 10. Implementing Decision-Based Learning in an Introductory Religion Course; Stephan Taeger
Chapter 11. Using Decision-Based Learning to Teach Source Evaluation in One-Shot Library Sessions; Ana Katz and Jason Godfrey
Chapter 12. Information Literacy and Decision-Based Learning; David S. Pixton
Chapter 13. Lessons Learned from the Implementation of Decision-Based Learning; Nancy Wentworth
System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePub works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our ebook Help page.