Analysis of Factors Affecting Students' Mathematics Learning Difficulties Using SEM as Information for Teaching Improvement

Autor/inn/en	Elastika, Rahmi Wiganda; Sukono; Dewanto, Stanley Pandu
Titel	Analysis of Factors Affecting Students' Mathematics Learning Difficulties Using SEM as Information for Teaching Improvement
Quelle	In: International Journal of Instruction, 14 (2021) 4, S.281-300 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1694-609X
Schlagwörter	Mathematics Education; Mathematics Achievement; Learning Problems; Environmental Influences; Family Environment; College Environment; Campuses; Educational Facilities; Sense of Community; Self Efficacy; Educational Environment; College Students; Foreign Countries; Indonesia + Suchen Sie Ihr Suchwort? Mathematische Bildung; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Lernproblem; Environmental influence; Umwelteinfluss; Familienmilieu; Hochschulumwelt; Bildungsstätte; Self-efficacy; Selbstwirksamkeit; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Collegestudent; Ausland; Indonesien
Abstract	Students' learning math difficulties are influenced by various factors, both internal factors (themselves) and external factors (from outside the students themselves). One of the external factors that can affect student achievement is the campus facilities and infrastructure where they study. This paper aims to estimate structural equation models, which can represent the relationship between latent variables, and the relationship between latent and indicator variables. Besides, it is also to determine which construct has the most influence on the achievement of four indicators, which include: Campus Environment (KPS), Family Environment (LK), Community Environment (LM), and Seating (TD) towards Self (DS). The research data was obtained through a survey using a questionnaire to Universitas Padjadjaran students in the Mathematics Study Program. Data were measured using a Likert scale and using a simple random sampling technique. Data analysis was performed using Structural Equation Modelling (SEM). The results of the data analysis show that the parameter estimators of the four indicators are 0.29, 0.34, 0.14, and 0.12 respectively, with the R-squared coefficient of determination of 0.90. So that SEM is an analysis that can provide information that is used to support the learning process policymaking. (As Provided).
Anmerkungen	Gate Association for Teaching and Education. e-mail: iji@ogu.edu.tr; Web site: http://e-iji.net/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01