Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Active learning in intermediate optics through class tutorials and concept building laboratories

Open Access Open Access

Abstract

We have been modifying our intermediate optics class and laboratory with a focus on improving student learning through the use of active engagement. To facilitate this process we developed a two pronged solution. For the classroom we created a series of tutorials to help the students use the mathematics and techniques of derivations, apply these solutions to other problems, and develop a stronger conceptual foundation in intermediate optics class. In the optics laboratories we developed an approach that relies upon direct confrontation of misconceptions, predictions, collection of data to support or refute the predictions, reconciliation, discussion, and leading questions rather than a series of detailed, cookbook-like instructions as might be found in a traditional laboratory. Through the class and laboratory we build conceptual understanding in subjects like image formation by lenses and mirrors, ray optics, and ultimately elliptical polarization while fostering laboratory independence and helping students erect a new paradigm for learning.

© 2009 Optical Society of America

PDF Article
More Like This
Using Concept Building in Optics to Improve Student Research Skills

Mark F. Masters and Timothy T. Grove
EFD1 Education and Training in Optics and Photonics (ETOP) 2013

Engaging colleagues in active learning pedagogies through mentoring and co-design

Rhys Adams and Kevin Lenton
104522D Education and Training in Optics and Photonics (ETOP) 2017

Creating and Using Industry-Based Problem-Based Learning Challenges in Photonics: Lessons Learned

Judith Donnelly, Michele Dischino, Fenna Hanes, and Nicholas Massa
ETB1 Education and Training in Optics and Photonics (ETOP) 2009

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.