Literaturnachweis - Detailanzeige
Autor/inn/en | Ataei Zahra; Chorami, Maryam |
---|---|
Titel | Predicting Academic Emotions Based on Spiritual Well-Being and Life Satisfaction in Students of Shahrekord Girls' Technical and Vocational School |
Quelle | In: Journal of Educational Psychology - Propositos y Representaciones, 9 (2021), (12 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Ataei Zahra) ORCID (Chorami, Maryam) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 2307-7999 |
Schlagwörter | Foreign Countries; Single Sex Schools; Vocational Schools; Females; Life Satisfaction; Well Being; Spiritual Development; Emotional Response; Predictor Variables; Student Attitudes; Psychological Patterns; Anxiety; Postsecondary Education; Iran; Satisfaction With Life Scale Ausland; Single-sex schools; Single-sex classes; Single sex classes; Getrenntgeschlechtliche Erziehung; Schule; Vocational school; Berufsbildende Schule; Berufsschule; Fachschule; Weibliches Geschlecht; Lebensvollendung; Well-being; Wellness; Wohlbefinden; Emotionales Verhalten; Prädiktor; Schülerverhalten; Angst; Post-secondary education; Tertiäre Bildung |
Abstract | The aim of this study was to predict the academic emotions based on spiritual well-being and life satisfaction in students of Shahrekord Girls' Technical and Vocational School. This was a descriptive correlational study. The study population consisted of all students of Shahrekord Girls' Technical and Vocational School in the 2018-2019 school year. A total of 210 students were selected by the stratified random sampling. The data were collected using the achievement emotions questionnaire (AEQ) (Pekrun, 2005), the spiritual well-being (SWB) scale (Paloutzian and Ellison, 1983) and The Satisfaction With Life Scale (SWLS) (Diener, 1985). Statistical methods and multivariate regression analysis were applied to analyze the data. The results showed that spiritual well-being could predict the academic emotions like pride ([beta] = 20%) and life satisfaction could predict the academic emotions such as enjoyment ([beta] = 26%), anxiety ([beta] = 24%), anger ([beta] = 20%), hopelessness (? = 31%) and boredom ([beta] = 41%). (As Provided). |
Anmerkungen | Universidad San Ignacio de Loyola S.A. Avenue La Fontana 550, Urbanizacion San Cesar de La Molina, Lima 12, Peru. Tel: 511-317-1000, Ext. 3139; e-mail: propositosyrepresentaciones@usil.edu.pe; Web site: http://revistas.usil.edu.pe/index.php/pyr |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |