Assessing Curriculum Efficiency through Monte Carlo Simulation

Autor/inn/en	Torres, David; Crichigno, Jorge; Sanchez, Carmella
Titel	Assessing Curriculum Efficiency through Monte Carlo Simulation
Quelle	In: Journal of College Student Retention: Research, Theory & Practice, 22 (2021) 4, S.597-610 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Torres, David)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1521-0251
DOI	10.1177/1521025118776618
Schlagwörter	Curriculum Evaluation; Efficiency; Monte Carlo Methods; Time to Degree; Graduation Rate; Prerequisites; Required Courses; Mathematics Education + Suchen Sie Ihr Suchwort? Curriculum; Evaluation; Curriculumevaluation; Lehrplan; Rahmenplan; Evaluierung; Effectiveness; Effektivität; Wirkungsgrad; Monte-Carlo-Methode; Voraussetzung; Pflichtkurs; Mathematische Bildung
Abstract	A Monte Carlo algorithm is designed to predict the average time to graduate by enrolling virtual students in a degree plan. The algorithm can be used to improve graduation rates by identifying bottlenecks in a degree plan (e.g., low pass rate courses and prerequisites). Random numbers are used to determine whether students pass or fail classes by comparing them to institutional pass rates. Courses cannot be taken unless prerequisites and corequisites are satisfied. The output of the algorithm generates a relative frequency distribution which plots the number of students who graduate by semester. Pass rates of courses can be changed to determine the courses that have the greatest impact on the time to graduate. Prerequisites can also be removed to determine whether certain prerequisites significantly affect the time to graduate. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01