Assessing Conceptual Knowledge for the Physics of Semiconductors

Autor/in	Ene, Emanuela
Titel	Assessing Conceptual Knowledge for the Physics of Semiconductors
Quelle	(2013), (258 Seiten) PDF als Volltext Verfügbarkeit Ph.D. Dissertation, Oklahoma State University
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	978-1-3034-7855-0
Schlagwörter	Hochschulschrift; Dissertation; Science Education; Engineering Education; Physics; Standardized Tests; Undergraduate Study; Textbooks; Surveys; Higher Education; Statistical Analysis; Scores; Test Construction; Cognitive Ability; Difficulty Level; Models; Computation; Maximum Likelihood Statistics; Scientific Concepts; Science Achievement; College Students; Knowledge Level; Concept Formation + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Naturwissenschaftliche Bildung; Ingenieurausbildung; Physik; Standadised tests; Standardisierter Test; Grundstudium; Textbook; Text book; Schulbuch; Lehrbuch; Survey; Umfrage; Befragung; Hochschulbildung; Hochschulsystem; Hochschulwesen; Statistische Analyse; Testaufbau; Denkfähigkeit; Schwierigkeitsgrad; Analogiemodell; Collegestudent; Wissensbasis; Concept learning; Begriffsbildung
Abstract	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: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
Anmerkungen	ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01