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Investigating Physics and Engineering Students' Understanding of AC Biasing Networks

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Assessment II: Learning Gains and Conceptual Understanding

Tagged Division

Educational Research and Methods

Page Count

15

DOI

10.18260/p.25478

Permanent URL

https://peer.asee.org/25478

Download Count

223

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Paper Authors

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Kevin Lewis Van De Bogart University of Maine Orcid 16x16 orcid.org/0000-0003-0647-5085

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Kevin Van De Bogart is a Ph.D. candidate in the department of Physics and Astronomy at the University of Maine. He received his B.S. in Physics from the University of Idaho. He is a member of the UMaine Physics Education Research Laboratory. His research interests are student understanding of analog electronics, student troubleshooting in the laboratory, and students' use of metacognition.

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biography

MacKenzie R. Stetzer University of Maine

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MacKenzie R. Stetzer is an Assistant Professor of Physics at the University of Maine. He received an A.B. from Bowdoin College and a Ph.D. in experimental condensed matter physics from the University of Pennsylvania (2000). He has been developing research-based instructional materials for undergraduates and K-12 teachers since 2001, while working with the Physics Education Group at the University of Washington. A primary focus of his work has been an in-depth, multi-institutional investigation of student understanding of analog electronics. Other areas of research interest include the development of student reasoning abilities in university physics courses and efforts to assess and promote student metacognition in physics.

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Abstract

This research paper describes a targeted investigation of student understanding of ac biasing networks, which has been conducted as part of a larger, ongoing project focused on the learning and teaching of canonical bipolar junction transistor (BJT) circuits (e.g., the common-emitter amplifier). Biasing networks are critical for signal processing via BJT circuits, yet coverage of such networks in physics and electrical engineering courses and texts is sparse and frequently secondary to coverage of the amplifier circuits themselves. In this cross-disciplinary project, we have been examining how students reason about biasing networks across a variety of courses including a junior-level electronics course for Electrical and Computer Engineering (ECE) majors, a junior-level electronics course for physics majors, and two introductory ECE courses on circuits for majors and non-majors.

In this investigation, which was designed and conducted through the lens of the specific difficulties empirical framework, free-response questions were administered to introductory students after all instruction on RC circuits in both time and frequency and to junior-level students after all instruction on BJT amplifier circuits. This paper focuses on a particular task that requires students to predict both the dc and ac behavior of the biasing network. Written responses to the task were subsequently coded and analyzed according to the reasoning articulated, using modified grounded theory.

The findings from the investigation indicate that many students fail to apply foundational circuits concepts (e.g., Kirchhoff’s current law) when analyzing ac biasing networks. In this paper, we describe the most prevalent conceptual and reasoning difficulties identified. In addition, we document variations in student performance between courses, and examine the extent to which observed trends may be ascribed to specific populations or generalized across disciplines and course levels. Specific examples will be used to illustrate the implications for instruction emerging from this investigation.

Van De Bogart, K. L., & Stetzer, M. R. (2016, June), Investigating Physics and Engineering Students' Understanding of AC Biasing Networks Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25478

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