ERIC Number: EJ1236653
Record Type: Journal
Publication Date: 2019
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2469-9896
EISSN: N/A
Exploring Student Preferences When Calculating Expectation Values Using a Computational Features Framework
Physical Review Physics Education Research, v15 n2 Article 020144 Jul-Dec 2019
Undergraduate quantum mechanics (QM) uses a variety of notations, each with their own advantages and constraints, for representing quantum states and carrying out individual calculations. An example of this can be seen when calculating expectation values, which can be solved using several different methods. Analysis of written exam data given at three universities (teaching spins-first QM) showed students were more likely to use matrix or integral calculation in situations where it is much simpler to use a summation method. By adapting the structural features framework by Gire and Price, we are able to answer questions regarding how and why students use different methods. We analyze student responses to expectation value problems administered in interviews conducted at two universities in the middle and end of the semester to highlight specific areas of difficulty and features of the methods which led to students' choices of one method over another.
Descriptors: Preferences, Student Attitudes, Computation, Quantum Mechanics, Mechanics (Physics), Science Instruction, College Science, Matrices, Undergraduate Students, Self Efficacy
American Physical Society. One Physics Ellipse 4th Floor, College Park, MD 20740-3844. Tel: 301-209-3200; Fax: 301-209-0865; e-mail: assocpub@aps.org; Web site: http://prst-per.aps.org
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 1626280; 1626594; 1626482