Motivational Climate Predicts Effort and Achievement in a Large Computer Science Course: Examining Differences across Sexes, Races/Ethnicities, and Academic Majors

Autor/inn/en	Jones, Brett D.; Ellis, Margaret; Gu, Fei; Fenerci, Hande
Titel	Motivational Climate Predicts Effort and Achievement in a Large Computer Science Course: Examining Differences across Sexes, Races/Ethnicities, and Academic Majors
Quelle	In: International Journal of STEM Education, 10 (2023), Artikel 65 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Jones, Brett D.) ORCID (Ellis, Margaret) ORCID (Gu, Fei) ORCID (Fenerci, Hande)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1186/s40594-023-00457-0
Schlagwörter	Student Motivation; Computer Science Education; Gender Differences; Racial Differences; Ethnicity; Majors (Students); Academic Achievement; Student Attitudes; Difficulty Level; Student Empowerment; Value Judgment; Student Interests; Caring; Success; Expectation; Grades (Scholastic); College Students + Suchen Sie Ihr Suchwort? Schulische Motivation; Computer science lessons; Informatikunterricht; Geschlechterkonflikt; Rassenunterschied; Ethnizität; Schulleistung; Schülerverhalten; Schwierigkeitsgrad; Studienberechtigung; Werturteil; Studieninteresse; Care; Pflege; Sorge; Betreuung; Erfolg; Expectancy; Erwartung; Notenspiegel; Collegestudent
Abstract	Background: The motivational climate within a course has been shown to be an important predictor of students' engagement and course ratings. Because little is known about how students' perceptions of the motivational climate in a computer science (CS) course vary by sex, race/ethnicity, and academic major, we investigated these questions: (1) To what extent do students' achievement and perceptions of motivational climate, cost, ease, and effort vary by sex, race/ethnicity, or major? and (2) To what extent do the relationships between students' achievement and perceptions of motivational climate, cost, and effort vary by sex, race/ethnicity, and major? Participants were enrolled in a large CS course at a large public university in the southeastern U.S. A survey was administered to 981 students in the course over three years. Path analyses and one-way MANOVAs and ANOVAs were conducted to examine differences between groups. Results: Students' perceptions of empowerment, usefulness, interest, and caring were similar across sexes and races/ethnicities. However, women and Asian students reported lower success expectancies. Students in the same academic major as the course topic (i.e., CS) generally reported higher perceptions of the motivational climate than students who did not major or minor in the course topic. Final grades in the course did not vary by sex or race/ethnicity, except that the White and Asian students obtained higher grades than the Black students. Across sex, race/ethnicity, and major, students' perceptions of the motivational climate were positively related to effort, which was positively related to achievement. Conclusions: One implication is that females, Asian students, and non-CS students may need more support, or different types of support, to help them believe that they can succeed in computer science courses. On average, these students were less confident in their abilities to succeed in the course and were more likely to report that they did not have the time needed to do well in the course. A second implication for instructors is that it may be possible to increase students' effort and achievement by increasing students' perceptions of the five key constructs in the MUSIC Model of Motivation: eMpowerment, Usefulness, Success, Interest, and Caring. (As Provided).
Anmerkungen	Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01