Spin It to Win It’ Approach: Enhancing Student Engagement in Mathematics 8

Maintaining student engagement in mathematics continues to be a significant challenge in many classrooms, as it directly influences learning outcomes and academic performance. This study sought to examine the effectiveness of a game-based instructional strategy, Spin It to Win It, in enhancing the level of students’ engagement in Mathematics 8. This action research utilized a pre-experimental one-group pretest-posttest design. The participants were 35 Grade 8 students from a public secondary school in Ozamiz City, who were selected through purposive sampling based on their low levels of engagement and performance in mathematics. Performance-based assessment data were collected and subsequently analyzed using descriptive statistics and a dependent samples t-test. The results indicate that prior to the implementation of the strategy, all students were classified within the ‘Did not meet expectations’ category for engagement. After the intervention, a notable improvement was observed, with many students reaching higher performance levels, such as Outstanding. A statistically significant difference was found between the pretest and posttest scores, indicating that the strategy effectively enhanced student engagement. The study concludes that game-based strategies like Spin It to Win. It can significantly improve students’ engagement in mathematics by promoting a more interactive and engaging learning environment. It is recommended that teachers incorporate similar strategies into their instruction to support and motivate learners, especially those struggling with low engagement.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Applied Science
Published
2025-01-01
DOI
https://doi.org/10.51584/ijrias.2025.100800167
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Spin It to Win It’ Approach: Enhancing Student Engagement in Mathematics 8

Genelyn R. Baluyos, Mellia Flor L. Lapinid, Bernadette C. Cajigas
International Journal of Research and Innovation in Applied Science
Teaching and Learning Programming
article

Spin It to Win It’ Approach: Enhancing Student Engagement in Mathematics 8

Genelyn R. Baluyos, Mellia Flor L. Lapinid, Bernadette C. Cajigas
article en

Abstract

Maintaining student engagement in mathematics continues to be a significant challenge in many classrooms, as it directly influences learning outcomes and academic performance. This study sought to examine the effectiveness of a game-based instructional strategy, Spin It to Win It, in enhancing the level of students’ engagement in Mathematics 8. This action research utilized a pre-experimental one-group pretest-posttest design. The participants were 35 Grade 8 students from a public secondary school in Ozamiz City, who were selected through purposive sampling based on their low levels of engagement and performance in mathematics. Performance-based assessment data were collected and subsequently analyzed using descriptive statistics and a dependent samples t-test. The results indicate that prior to the implementation of the strategy, all students were classified within the ‘Did not meet expectations’ category for engagement. After the intervention, a notable improvement was observed, with many students reaching higher performance levels, such as Outstanding. A statistically significant difference was found between the pretest and posttest scores, indicating that the strategy effectively enhanced student engagement. The study concludes that game-based strategies like Spin It to Win. It can significantly improve students’ engagement in mathematics by promoting a more interactive and engaging learning environment. It is recommended that teachers incorporate similar strategies into their instruction to support and motivate learners, especially those struggling with low engagement.

International Journal of Research and Innovation in Applied ScienceVol. X(VIII)
Openalex Percentile: Top 69%
Teaching and Learning Programming
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