MARATTO

article · PLoS ONE

Effects of students’ mathematics learning strategy and perceived task difficulty on their achievement of mathematics

20251 citationOpen accessWolaita Sodo University

Abstract

This study examined effects of Mathematics learning strategy and perceived-task-difficulty on their achievement. Post-positivism paradigm, quantitative approach and correlations design were employed. Out of 2893 total student population, 351 were sampled using systematic random sampling. Whilst learning strategy and perceived-difficulty were measured using questionnaire, Mathematics achievement was measured teacher-made tests. Pilot study was conducted on 140 samples and the result revealed that Cronbach alpha for both scales appeared above 0.7. The structural equation modeling (SEM) was employed to analyze the data. The path analysis indicated that 22% of variance in mathematics achievement was significantly explained by the joint effects of learning strategy and perceived task difficulty. The result also indicated that the standardized regression weights of (β = .186) and (β = -.374) for learning-strategy and perceived task-difficulty, respectively, were found statistically significant. In conclusion, the effect of Mathematics learning strategy and perceived task difficulty on students' Mathematics achievement is significant, and positive actions on improving task difficulty and Mathematics learning strategy can enhance Math achievement. Hence, setting tasks with proper level of difficulty and assuring students' implementation of learning strategy suitable to contents are essential for enhancing students' achievement in Mathematics.

Research topics

  • E-Learning and COVID-19
  • Mathematics Education and Pedagogy
  • Education Practices and Evaluation

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1371/journal.pone.0337115

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.