Modeling Addition of Dissimilar Fractions: Misconceptions of Pre-service Teachers
Mary June T. Adalla, Ronato S. Ballado
Asian Research Journal of Mathematics · pp. 30–35 · Published 21 May 2022
10.9734/arjom/2022/v18i630381Abstract
Fractions and learning about them have been consistently difficult for students. This difficulty, grounded on the lack of conceptual knowledge, results in errors in performing operations with fractions. This descriptive study explored the errors in adding dissimilar fractions and misconceptions on modeling fractions among 265 pre-service teachers. The study utilized an open-ended question asking for the procedural computation and the modeling of the addition of two dissimilar fractions as a data-gathering instrument. The findings of the study revealed that the majority of the respondents got the required answer correctly in the question requiring procedural knowledge. In the question requiring the fractions to be modeled, only a few were able to model the fractions correctly. A big percentage of respondents either had no answer to the question or expressed the modeling of fractions in a rule. The study further revealed varied misconceptions on how adding dissimilar fractions are modeled. Recommendations on improving the conceptual knowledge of students as early as elementary grades are promoted.
Cited by 0
No indexed citations yet.
Related research
- ECG Generation Based on Action Potential Using Modified Van Der Pol Equation — shares topic coverage
- Modeling and Optimal Control of Plasmodium Knowlesi Malaria Spread from Infected Humans to Mosquitoes — shares topic coverage
- Testing the Probability of Heart Disease Using Classification and Regression Tree Model — shares topic coverage
- Application of Physiological Traits Related to Plant Water Status for Predicting Yield Stability in Wheat under Drought Stress Condition — shares topic coverage
- New Approach to Understand the Removal Efficiency of Some Anions in Well Water by Slow Sand Filtration — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.