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ERIC Number: ED562935
Record Type: Non-Journal
Publication Date: 2013
Pages: 258
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-3034-7855-0
Assessing Conceptual Knowledge for the Physics of Semiconductors
Ene, Emanuela
ProQuest LLC, Ph.D. Dissertation, Oklahoma State University
Following the trend in science and engineering education generated by the visible impact created by the Force Concept Inventory (FCI), the investigator developed a Physics of Semiconductors Concept Inventory (PSCI). PSCI fills the need of standardized concept tests for undergraduate education in photonics and electrical engineering. The structure of the PSCI test followed a concept map reflecting the input from a panel of experts from different universities and from a survey of textbooks currently used in engineering schools in the United States. Based on the statistical analysis of the scores and response patterns, the test was calibrated as an instrument to measure participants' cognitive ability independent of items' difficulty. The models employed were the Rasch Model and the Rasch Partial Credit Model. The estimation procedure employed was Conditional Maximum Likelihood. The analysis was carried on using algorithms written in the open-source language R. The current PSCI BETA test contains eighteen calibrated items covering six concepts of the physics of semiconductors. PSCI BETA may be used for three purposes: individual student diagnostic if applied at the beginning of a physics of semiconductors course; predictor for students' academic performance in the field of semiconductors if applied at the end of instruction; assessment instrument for instructional strategies if applied both for pre- and post-instruction. The PSCI BETA instrument can be applied in any English speaking college setting. The main results of the PSCI research are: ranking persons' ability related to the physics of semiconductors on an objective linear scale, building a diagnose matrix that may be utilized by instructors for choosing an optimal teaching approach and by students for remediation, and demonstrating a calibration method for small sample size. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page:]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site:
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A