An Innovative Evaluation Method for Undergraduate Education: An Approach Based on "BP" Neural Network and Stress Testing

Autor/inn/en	Liu, Chang; Feng, Yongfu; Wang, Yuling
Titel	An Innovative Evaluation Method for Undergraduate Education: An Approach Based on "BP" Neural Network and Stress Testing
Quelle	In: Studies in Higher Education, 47 (2022) 1, S.212-228 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0307-5079
DOI	10.1080/03075079.2020.1739013
Schlagwörter	Evaluation Methods; Artificial Intelligence; Educational Indicators; Teacher Attitudes; Educational Environment; Teaching Methods; Teacher Characteristics; Mastery Learning; Capacity Building; Mathematics; Educational Quality; Teacher Evaluation; Teacher Effectiveness; Undergraduate Study + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Educational indicato; Bildungsindikator; Lehrerverhalten; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Teaching method; Lehrmethode; Unterrichtsmethode; Mathematik; Quality of education; Bildungsqualität; Teacher appraisal; Lehrerbeurteilung; Effectiveness of teaching; Instructional effectiveness; Lehrerleistung; Unterrichtserfolg; Grundstudium
Abstract	In this paper, a new evaluation method for under-graduate education quality is proposed based on Artificial Intelligence Neural Network Back-Propagation (BP) algorithm and stress testing. Using this method, a publically available indicator pool is constructed, consisting of 19 variables in 4 dimensions such as Teaching Attitude, Teaching Content, Teaching Approach, and Basic Characteristic of Teachers, which impact under-graduates' mastery of knowledge and capacity building. After the BP neural network algorithm is used to learn the optimum parameters for this evaluation model, sensitivity test is applied to identify the indicators that have significant effects on the quality of education. Furthermore, scenario analysis is utilized to explore the influence of the quality of education under pre-specified situations, which provides theoretical and empirical support for evaluating under-graduate teaching, improving education quality, and enriching teacher resources. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01