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Treffer: Analysis of Relationships between Prior Knowledge, Approaches to Learning, and Mathematics Performance among Engineering Students

Title:
Analysis of Relationships between Prior Knowledge, Approaches to Learning, and Mathematics Performance among Engineering Students
Language:
English
Authors:
Zakariya, Yusuf Feyisara (ORCID 0000-0002-5266-8227), Nilsen, Hans Kristian (ORCID 0000-0002-8345-8935), Bjørkestøl, Kirsten (ORCID 0000-0001-6627-3552), Goodchild, Simon (ORCID 0000-0002-7015-9936)
Source:
International Journal of Mathematical Education in Science and Technology. 2023 54(6):1015-1033.
Availability:
Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed:
Y
Page Count:
19
Publication Date:
2023
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Higher Education
Postsecondary Education
Geographic Terms:
DOI:
10.1080/0020739X.2021.1984596
ISSN:
0020-739X
1464-5211
Entry Date:
2023
Accession Number:
EJ1387284
Database:
ERIC

Weitere Informationen

Approaches to learning have been identified as crucial factors that influence students' mathematics performance. However, there have been mixed findings on which of the different approaches improve performance in undergraduate mathematics. Thus, this study aimed to unravel the specific effects of prior mathematics knowledge and approaches to learning on performance in mathematics among first-year engineering students. The design is cross-sectional, and the data are analysed with some structural equation modelling techniques. The findings show a positive effect of prior mathematics knowledge on performance. The effect of surface approaches to learning on performance is significant, negative, and surface approaches to learning mediate the effect of prior mathematics knowledge on performance. There are no substantial relations between prior mathematics knowledge, deep approaches to learning, and performance. Students who adopt surface approaches performed poorly but we found no evidence to claim that students who adopt deep approaches perform better in the course. By implication, our findings underscore the importance of discouraging engineering students from capitalizing on surface approaches to learning mathematics.

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