Exploring the Multifaceted Roles of Mathematics Learning in Predicting Students' Computational Thinking Competency

Autor/inn/en	Lee, Silvia Wen-Yu; Tu, Hsing-Ying; Chen, Guang-Lin; Lin, Hung-Ming
Titel	Exploring the Multifaceted Roles of Mathematics Learning in Predicting Students' Computational Thinking Competency
Quelle	In: International Journal of STEM Education, 10 (2023), Artikel 64 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Lee, Silvia Wen-Yu)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1186/s40594-023-00455-2
Schlagwörter	Grade 8; Middle School Students; High School Students; Mathematics Education; Learning; Computation; Thinking Skills; Competence; Prediction; Grade 9 + Suchen Sie Ihr Suchwort? School year 08; 8. Schuljahr; Schuljahr 08; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; High school; High schools; Oberschule; Studentin; Mathematische Bildung; Lernen; Denkfähigkeit; Kompetenz; Vorhersage; School year 09; 9. Schuljahr; Schuljahr 09
Abstract	Background: There exist shared competencies between computational thinking (CT) and mathematics, and these two domains also mutually benefit from various teaching approaches. However, the linkages between mathematics and computational thinking lack robust empirical support, particularly from student-centered learning perspectives. Our study aimed to enhance our understanding of the connections between students' mathematics learning and computational thinking. To assess students' mathematics learning, we measured their beliefs about mathematics learning and their level of mathematical literacy (ML). Our hypothesis posited that students' beliefs concerning mathematics learning, encompassing their views on the nature of mathematics and their attitude towards the subject, can both directly and indirectly influence their CT, with ML serving as a mediating factor. Our data were gathered through surveys and tests administered to eighth- and ninth-grade students. Data were analyzed using partial least squares--structural equation modeling (PLS-SEM). Results: The evaluation of the measurement model indicated strong internal consistency for each construct. Both convergent and discriminant validity were also established. Upon assessing the structural model, it was found that beliefs about the nature of mathematics positively predicted attitudes towards mathematics, and this belief also indirectly predicted ML through positive attitudes towards mathematics. In addition, ML directly and positively predicted both CT subscales. Notably, a comprehensive mediating effect of ML on beliefs about mathematics learning and CT was identified in the analysis. Conclusions: This study advances the understanding of the relationships between mathematics learning and CT. We have further confirmed the importance of mathematical literacy in predicting CT and its mediating role between beliefs about mathematics learning and CT. It is suggested that teachers could promote students' CT competence by enhancing their mathematical literacy or integrating mathematics and CT into the same learning activities. Finally, we propose that upcoming investigations treat CT assessments as formative constructs, diverging from their reflective counterparts. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01