Optimizing Teaching And Learning
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Optimizing Higher Education Learning Through Activities and Assessments
Author: Yukiko Inoue
language: en
Publisher: Information Science Reference
Release Date: 2020
"This book discusses ways of optimizing learning in higher education through learning activities and assessment strategies"--
Optimizing Teaching and Learning
Author: Regan A. R. Gurung
language: en
Publisher: John Wiley & Sons
Release Date: 2011-08-26
The scholarship of teaching and learning (SoTL) is one of the most dynamic areas of research in the field of higher education today in which faculty continuously evaluate the quality of their teaching and its affect on student learning. Faculty are being held accountable for the effectiveness of their teaching and in turn they are starting to engage in SoTL-related intellectual exchanges not only in their research agendas but also in the ways in which they teach their students in the classroom. At the heart of this new movement, there is a simple idea: take a close look at how you teach and how your students learn, use the same methodology that you would use for formal investigations (be it in the humanities or sciences), and hold your research to the same standards most notably peer review. Optimizing Teaching and Learning will serve as a guide for anyone who is interested in improving their teaching, the learning of their students, and at the same time contribute to the scholarship of teaching and learning. It bridges the gap between the research and practice of SoTL, with explicit instructions on how to design, conduct, analyze, and write-up pedagogical research, including samples of actual questionnaires and other materials (e.g., focus group questions) that will jumpstart investigations into teaching and learning. It also explores the advantages and disadvantages of various pedagogical practices and present applications of SoTL using case studies from a variety of disciplines. This book will serve as an invaluable resource for both seasoned faculty and new faculty who are just beginning to assess their teaching methods and learn how to think beyond the content.
Teaching Learning Based Optimization Algorithm
Describing a new optimization algorithm, the “Teaching-Learning-Based Optimization (TLBO),” in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners’ results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.