Angco, Robert Jay Naigar
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The Use of Gamification in Teaching and Learning Mathematics: A Meta-Synthesis Angco, Robert Jay Naigar
Jurnal Pendidikan Progresif Vol 13, No 3 (2023): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

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The Use of Gamification in Teaching and Learning Mathematics: A Meta-Synthesis. Objectives: This study aimed to explore and synthesize the use of gamification in teaching and learning mathematics. Methods: A meta-synthesis was used in this systematic review to focus on the use of gamification in teaching and learning mathematics. The final 13 articles in this study were developed using the Critical Appraisal Skills Programme (CASP) checklist and structured using the PRISMA 2020 flow diagram. Findings: Four themes emerged from the thematic analysis, namely: time element, positive attitude, collaboration and engagement, and feedback and assessment. A meta-theme emerged as Futures Thinking: Gamifying Mathematics Education for Engaged Learning. Conclusion: The findings provide significant insights for educators and curriculum designers looking for novel techniques to improve mathematics teaching and learning. It should be noted that the effectiveness of gamification in mathematics teaching and learning is dependent on the careful design and implementation of the gamified features. Clear learning objectives, adequate feedback methods, and a balance of challenge and support are all critical considerations. Keywords: Gamification, meta-synthesis, systematic review, teaching mathematicsDOI: http://dx.doi.org/10.23960/jpp.v13.i3.202304
Predictors of Mathematics Performance: An Inductive Approach Towards Theory Generation Angco, Robert Jay Naigar
Jurnal Pendidikan Progresif Vol 13, No 1 (2023): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

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Predictors of Mathematics Performance: An Inductive Approach Towards Theory Generation. Objectives: This study aimed to examine the predictive factors that affect the mathematics performance of the students towards developing a theory. Methods: Quantitative non-experimental method employing correlational approach was used in the study and inductive approach as basis for the theory development. Multiple regression was the main analysis in this study. Random sample students from the English and Communication Department participated in the study. The researcher used three standardized questionnaires, Mathematics and Technology Attitudes Scale (MTAS) and Revised Mathematics Anxiety Rating Scale (RMARS). Findings: The findings exposed that of the 15 domains, effective communication has the highest mean while self-efficacy has the lowest. This study also discovered that there was a significant difference between the sex and students’ level of anxiety in terms of numerical test anxiety and mathematics course anxiety. The multiple regression also further revealed that of the 15 domains, only instructional planning strategies and effective communication were the best predictors of mathematics performance with regression equations of Y= 1.563 + 0.358X and Y= 1.563 – 0.556X, respectively. Conclusion: This study concluded The level of mathematics performance of the students is multi-factorial in nature which depends on teachers’ delivery, pedagogies, and coping with assessment anxiety. Keywords: mathematics performance, predictive factors, students’ attitude, teachers’ effectiveness, theory generationDOI: http://dx.doi.org/10.23960/jpp.v13.i1.202303