Optimizing Citizenship Education: Boosting Student Motivation through Make A Match Cooperative Learning Model

  • Iin Rahayu Universitas Jambi
Keywords: Citizenship Education, Cooperative Learning Model, Make A Match, Motivation to Learn

Abstract

Purpose of the study: This research aims to evaluate the implementation of the Make A Match Type Cooperative Learning Model and its impact on student learning motivation in citizenship education subjects.

Methodology: This research is classroom action research, with research time from March 2022 to April 2022. The subjects in this research were class VIII students at One Roof State Junior High School, Baru Village. The instruments in this research consisted of questionnaires and observation sheets. This research procedure consists of several stages which include planning, action, observation and reflection. Data analysis in this research uses descriptive statistics.

Main Findings: Based on the recapitulation table of research results, it can be seen that students' learning motivation for citizenship education increases with each cycle. With a value for Cycle I 69.93, Cycle II 80.7 and Cycle III 95.03. At the end of cycle III, it reached a significant increase from the previous two cycles. Therefore, the researcher concluded that one effort to increase the learning motivation of class VIII students at One Roof State Middle School, Baru Village, was to implement the Type Make A Match cooperative learning model.

Novelty/Originality of this study: The research highlights the efficacy of the Make A Match Type Cooperative Learning Model in enhancing learning motivation among junior high school students. Utilizing descriptive statistics as an analytical tool, the findings reveal a consistent and significant improvement in student motivation, emphasizing the model's relevance at the junior high school level.

References

J. Maldonado-Mahauad, M. Pérez-Sanagustín, R. F. Kizilcec, N. Morales, and J. Munoz-Gama, “Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses,” Comput. Human Behav., vol. 80, pp. 179–196, 2018, doi: 10.1016/j.chb.2017.11.011.

N. H. Adnan and A. D. Ritzhaupt, “Software Engineering Design Principles Applied to Instructional Design: What can we Learn from our Sister Discipline?,” Educ. Technol. Res. Dev., vol. 62, pp. 77–94, 2018, doi: 10.1007/s11528-017-0238-5.

W. L. Chang and V. Benson, “Jigsaw teaching method for collaboration on cloud platforms,” Innov. Educ. Teach. Int., vol. 00, no. 00, pp. 1–13, 2020, doi: 10.1080/14703297.2020.1792332.

L. Bjørke and K. Mordal Moen, “Cooperative learning in physical education: a study of students’ learning journey over 24 lessons,” Phys. Educ. Sport Pedagog., vol. 25, no. 6, pp. 600–612, 2020, doi: 10.1080/17408989.2020.1761955.

A. Abramczyk and S. Jurkowski, “Cooperative learning as an evidence-based teaching strategy: what teachers know, believe, and how they use it,” J. Educ. Teach., pp. 1–13, 2020, doi: 10.1080/02607476.2020.1733402.

F. Erdogan, “Effect of cooperative learning supported by reflective thinking activities on students’ critical thinking skills,” Eurasian J. Educ. Res., vol. 2019, no. 80, pp. 89–112, 2019, doi: 10.14689/ejer.2019.80.5.

J. Bobis et al., “Instructional moves that increase chances of engaging all students in learning mathematics,” Mathematics, vol. 9, no. 6, pp. 1–19, 2021, doi: 10.3390/MATH9060582.

C. P. Trinter and H. E. Hughes, “Teachers as Curriculum Designers: Inviting Teachers into the Productive Struggle,” RMLE Online, vol. 44, no. 3, pp. 1–16, 2021, doi: 10.1080/19404476.2021.1878417.

A. Freudiger et al., “Ecological variation drives morphological differentiation in a highly social vertebrate,” Funct. Ecol., vol. 35, no. 10, pp. 2266–2281, 2021, doi: 10.1111/1365-2435.13857.

A. Jungwirth, P. Nührenberg, and A. Jordan, “On the importance of defendable resources for social evolution: Applying new techniques to a long-standing question,” Ethology, vol. 127, no. 10, pp. 872–885, 2021, doi: 10.1111/eth.13143.

S. Y. Lin, S. Y. Chien, C. L. Hsiao, C. H. Hsia, and K. M. Chao, “Enhancing Computational Thinking Capability of Preschool Children by Game-based Smart Toys,” Electron. Commer. Res. Appl., vol. 44, p. 101011., 2020, doi: 10.1016/j.elerap.2020.101011.

U. Kale and J. Yuan, “Still a New Kid on the Block? Computational Thinking as Problem Solving in Code.org,” J. Educ. Comput. Res., vol. 59, no. 4, 2020, doi: 10.1177/0735633120972050.

É. Lavoué, Q. Ju, S. Hallifax, and A. Serna, “Analyzing the relationships between learners’ motivation and observable engaged behaviors in a gamified learning environment,” Int. J. Hum. Comput. Stud., vol. 154, pp. 1–40, 2021, doi: 10.1016/j.ijhcs.2021.102670.

A. Bhutoria, “Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model,” Comput. Educ. Artif. Intell., vol. 3, no. January, p. 100068, 2022, doi: 10.1016/j.caeai.2022.100068.

V. D. Pratiwi and W. Wuryandani, “Effect of Problem Based Learning (PBL) Models on Motivation and Learning Outcomes in Learning Civic Education,” JPI (Jurnal Pendidik. Indones., vol. 9, no. 3, p. 401, 2020, doi: 10.23887/jpi-undiksha.v9i3.21565.

K. Messiou and M. Ainscow, “Inclusive Inquiry: Student–teacher dialogue as a means of promoting inclusion in schools,” Br. Educ. Res. J., vol. 46, no. 3, pp. 670–687, 2020, doi: 10.1002/berj.3602.

B. Divjak, B. Rienties, F. Iniesto, P. Vondra, and M. Žižak, “Flipped classrooms in higher education during the COVID-19 pandemic: findings and future research recommendations,” Int. J. Educ. Technol. High. Educ., vol. 19, no. 1, 2022, doi: 10.1186/s41239-021-00316-4.

I. P. Canlas and M. Karpudewan, “Blending the Principles of Participatory Action Research Approach and Elements of Grounded Theory in a Disaster Risk Reduction Education Case Study,” Int. J. Qual. Methods, vol. 19, pp. 1–13, 2020, doi: 10.1177/1609406920958964.

R. Cammock, C. Conn, and S. Nayar, “Strengthening Pacific voices through Talanoa participatory action research,” AlterNative, vol. 17, no. 1, pp. 120–129, 2021, doi: 10.1177/1177180121996321.

Q. Xu, “Applying MALL to an EFL Listening and Speaking Course: An Action Research Approach,” Turkish Online J. Educ. Technol., vol. 19, no. 4, pp. 24–34, 2020.

S. Korucu-Kış, “Preparing student teachers for real classrooms through virtual vicarious experiences of critical incidents during remote practicum: A meaningful-experiential learning perspective,” Educ. Inf. Technol., vol. 26, no. 6, pp. 6949–6971, 2021, doi: 10.1007/s10639-021-10555-7.

O. Dakhi, J. Jama, D. Irfan, Ambiyar, and Ishak, “Blended Learning: a 21St Century Learning Model At College,” Internatinal J. Multiscience, vol. 1, no. 7, pp. 50–65, 2020.

C. Rapanta, L. Botturi, P. Goodyear, L. Guàrdia, and M. Koole, “Online University Teaching During and After the Covid-19 Crisis: Refocusing Teacher Presence and Learning Activity,” Postdigital Sci. Educ., vol. 2, no. 3, pp. 923–945, 2020, doi: 10.1007/s42438-020-00155-y.

C. Skaalvik, “School principal self-efficacy for instructional leadership: relations with engagement, emotional exhaustion and motivation to quit,” Soc. Psychol. Educ., vol. 23, no. 2, pp. 479–498, 2020, doi: 10.1007/s11218-020-09544-4.

R. Capone and M. Lepore, From Distance Learning to Integrated Digital Learning: A Fuzzy Cognitive Analysis Focused on Engagement, Motivation, and Participation During COVID-19 Pandemic, vol. 27, no. 4. Springer Netherlands, 2021. doi: 10.1007/s10758-021-09571-w.

S. Lippke, “Self-Efficacy Theory,” Encycl. Personal. Individ. Differ., pp. 4722–4727, 2020, doi: 10.1007/978-3-319-24612-3_1167.

X. Li, J. Liu, and X. Su, “Effects of motivation and emotion on experiential value and festival brand equity: The moderating effect of self-congruity,” J. Hosp. Tour. Manag., vol. 49, no. 601–611, 2021, doi: 10.1016/j.jhtm.2021.11.015.

M. Leenknecht, L. Wijnia, M. Köhlen, L. Fryer, R. Rikers, and S. Loyens, “Formative assessment as practice: the role of students’ motivation,” Assess. Eval. High. Educ., vol. 46, no. 2, pp. 236–255, 2021, doi: 10.1080/02602938.2020.1765228.

A. A. G. K. Pramana and N. M. A. Wilani, “Hubungan Dukungan Sosial Dengan Motivasi Belajar Siswa Di Sma Negeri Bali Mandara,” J. Psikol. Udayana, vol. 5, no. 01, p. 189, 2018, doi: 10.24843/jpu.2018.v05.i01.p17.

M. Markowski, H. Bower, R. Essex, and C. Yearley, “Peer learning and collaborative placement models in health care: a systematic review and qualitative synthesis of the literature,” J. Clin. Nurs., vol. 30, no. 11–12, pp. 1519–1541, 2021, doi: 10.1111/jocn.15661.

A. A. M. H. Al-Ahdal and M. A. Alharbi, “MALL in Collaborative Learning as a Vocabulary-Enhancing Tool for EFL Learners: A Study Across Two Universities in Saudi Arabia,” SAGE Open, vol. 11, no. 1, 2021, doi: 10.1177/2158244021999062.

S. Sulistyorini, D. Setiawan, and K. W. Haryono, “The Application Of Make A Match As A Model Of Cooperative Learning To Improve Students Learning Achievement In The Learning Of Locomotor Organs In Animals And Human Beings To Grade V Students Of Sekolah Dasar Lab School UNNES,” in International Conference of Primary Education Research Pivotal Literature and Research UNNES 2018 (IC PEOPLE UNNES 2018), 2019, pp. 273–276. doi: 10.2991/icpeopleunnes-18.2019.55.

J. J. McIntyre-Mills, P. Lethole, M. Makaulule, R. Wirawan, I. Widianingsih, and N. Romm, “Towards eco-systemic living: learning with Indigenous leaders in Africa and Indonesia through a community of practice: implications for climate change and pandemics,” Syst. Res. Behav. Sci., vol. 40, no. 5, pp. 779–786, 2023, doi: 10.1002/sres.2976.

Published
2022-08-15
How to Cite
[1]
I. Rahayu, “Optimizing Citizenship Education: Boosting Student Motivation through Make A Match Cooperative Learning Model”, Jo. Soc. Know. Ed, vol. 3, no. 3, pp. 59-63, Aug. 2022.
Section
Articles