Increasing Student Learning Motivation in Mathematics Learning: Literatur Review

DOI:

https://doi.org/10.58421/misro.v3i3.277

Authors

Keywords:

Academic achievement, Intrinsic motivation, Learning environment, Motivation, Teaching methods

Abstract

Motivation is a crucial factor influencing student performance in the Mathematics learning process. This research aims to identify strategies to enhance student motivation in Mathematics, addressing the common issue of low enthusiasm and reduced classroom activity. The objective is to develop effective teaching methods that increase student perseverance and independent learning in Mathematics. The study applied a mixed-methods approach, combining quantitative surveys to measure student motivation levels and qualitative interviews with teachers to explore successful motivational strategies. Data was collected from 200 high school students and 20 Mathematics teachers in Jakarta. Statistical analysis was used to identify significant factors affecting Motivation, while thematic analysis provided insights into effective teaching practices. The results indicate interactive teaching methods, personalized feedback, and real-world problem-solving activities significantly boost student motivation. Students reported higher engagement and better performance when these strategies were implemented. The study concludes that adopting these methods can effectively address low Motivation in Mathematics, improving student outcomes.

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References

J. Ferrer, A. Ringer, K. Saville, M. A. Parris, and K. Kashi, “Students’ motivation and engagement in higher education: The importance of attitude to online learning,” High Educ (Dordr), 2022, doi: 10.1007/s10734-020-00657-5.

I. O. Panisoara, I. Lazar, G. Panisoara, R. Chirca, and ..., “Motivation and continuance intention towards online instruction among teachers during the COVID-19 pandemic: The mediating effect of burnout and …,” … of Environmental …, 2020, [Online]. Available: https://www.mdpi.com/1660-4601/17/21/8002

M. Esra and Ç. Sevilen, “Factors influencing EFL students’ motivation in online learning: A qualitative case study,” Journal of Educational Technology and Online …, 2021, [Online]. Available: https://dergipark.org.tr/en/pub/jetol/issue/60134/817680?utm_medium=email&utm_source=transaction

Z. Dörnyei and E. Ushioda, Teaching and researching motivation. taylorfrancis.com, 2021. doi: 10.4324/9781351006743/teaching-researching-motivation-zolt%C3%A1n-d%C3%B6rnyei-ema-ushioda.

D. H. Schunk and M. K. DiBenedetto, “Motivation and social cognitive theory,” Contemp Educ Psychol, 2020, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0361476X19304370

F. Gabriel, S. Buckley, and ..., “The impact of mathematics anxiety on self-regulated learning and mathematical literacy,” Australian Journal of …, 2020, doi: 10.1177/0004944120947881.

A. J. Moreno-Guerrero, I. Aznar-Díaz, P. Cáceres-Reche, and ..., “E-learning in the teaching of mathematics: An educational experience in adult high school,” Mathematics, 2020, [Online]. Available: https://www.mdpi.com/2227-7390/8/5/840

J. Filgona, J. Sakiyo, D. M. Gwany, and ..., “Motivation in learning,” Asian Journal of …, 2020, [Online]. Available: http://eprints.go4mailburst.com/id/eprint/334/

M. R. Lepper and T. W. Malone, “Intrinsic motivation and instructional effectiveness in computer-based education,” Aptitude, learning, and instruction, 2021, doi: 10.4324/9781003163244-11.

T. Garcia and P. R. Pintrich, “Regulating motivation and cognition in the classroom: The role of self-schemas and self-regulatory strategies,” Self-regulation of learning and …, 2023, [Online]. Available: https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.4324/9780203763353-6&type=chapterpdf

A. Muchyidin, “Pengaruh Strategi Pembelajaran Generatif Terhadap Kemampuan Penalaran Matematika Siswa,” Eduma : Mathematics Education Learning and Teaching, vol. 3, no. 1, 2014, doi: 10.24235/eduma.v3i1.10.

A. Muchyidin, “Model Matematika Kearifan Lokal Masyarakat Desa Trusmi Dalam Menjaga Eksistensi Kerajinan Batik Tulis,” JES-MAT (Jurnal Edukasi dan Sains Matematika), vol. 2, no. 1, Mar. 2016, doi: 10.25134/jes-mat.v2i1.268.

L. Mafruhah and A. Muchyidin, “Analisis Kesalahan-Kesalahan Siswa Dalam Tes Kemampuan Berpikir Kreatif Materi Pecahan Berdasarkan Analisis Newman,” PYTHAGORAS: Jurnal Pendidikan Matematika, vol. 15, no. 1, pp. 24–35, 2020, doi: 10.24127/ajpm.v10i2.3462.

T. Toheri and A. Muchyidin, “Panduan Pelatihan Penyusunan soal HOTS Matematika,” 2019, CV. CONFIDENT.

C. S. Dweck, Mindset: The new psychology of success. New York: Random House, 2016.

A. Bandura, Self-efficacy: The exercise of control. New York, NY, US: W H Freeman/Times Books/ Henry Holt & Co, 1997.

P. R. Pintrich, D. A. F. Smith, T. Duncan, and W. Mckeachie, A manual for the use of the motivated strategies for learning questionnaire (MSLQ). Ann Arbor, Michigan, 1991.

R. M. Ryan and E. L. Deci, “Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions,” Contemp Educ Psychol, vol. 25, no. 1, pp. 54–67, 2000, doi: https://doi.org/10.1006/ceps.1999.1020.

A. Ahmad, D. Etmy, and G. Primajati, “Upaya mengatasi problema pembelajaran matematika siswa pada materi teorema phythagoras melalui bimbingan belajar kelas VIII di MTs. Nurul Yaqin Kelanjur,” JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter, vol. 2, no. 1, pp. 60–70, 2019.

M. Safitri and H. Koeswanti, “Pengembangan Media Pembelajaran ‘KELAS BANGTAR’ untuk Meningkatkan Hasil BelajarMatematika Siswa Kelas IV Sekolah Dasar,” Jurnal Cendekia : Jurnal Pendidikan Matematika, vol. 5, no. 2, Apr. 2021, doi: 10.31004/cendekia.v5i2.580.

J. Filgona, J. Sakiyo, D. Gwany, and A. Okoronka, “Motivation in Learning,” Asian Journal of Education and Social Studies, vol. 10, pp. 16–37, Sep. 2020, doi: 10.9734/AJESS/2020/v10i430273.

P. R. Pintrich and E. V De Groot, “Motivational and self-regulated learning components of classroom academic performance,” J Educ Psychol, vol. 82, no. 1, pp. 33–40, 1990.

A. E. Gottfried, “Chapter Three - Academic Intrinsic Motivation: Theory, Assessment, and Longitudinal Research,” in Advances in Motivation Science, vol. 6, A. J. Elliot, Ed., Elsevier, 2019, pp. 71–109. doi: https://doi.org/10.1016/bs.adms.2018.11.001.

J. S. Eccles, “Expectancies, values and academic behaviors,” 1983. [Online]. Available: https://api.semanticscholar.org/CorpusID:204609980

B. J. Zimmerman, “Self-Regulated Learning and Academic Achievement: An Overview,” Educ Psychol, vol. 25, no. 1, pp. 3–17, Jan. 1990, doi: 10.1207/s15326985ep2501_2.

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Published

2024-08-21

How to Cite

[1]
S. Rahayu, W. Warsinih, and R. Rasilah, “Increasing Student Learning Motivation in Mathematics Learning: Literatur Review”, J.Math.Instr.Soc.Res.Opin., vol. 3, no. 3, pp. 311–318, Aug. 2024.

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Articles