DEVELOPMENT OF THE CRITICAL THINKING CATEGORICAL SYLLOGISM LEARNING MODEL IN ELEMENTARY STUDENTS

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Sri Tiatri
Mei Ie
Clement Hussy
Ida Bagus Aditya Vyad Tirtha
Lygia Teresa Timoria Natan
Malvin Tanoto
Yuli Rindarningsi
Jap Tji Beng

Abstract

In dealing with the development of society as a technology user, categorical syllogism critical thinking is a skill needed by students starting from primary school. This study aims to find learning methods that develop categorical syllogism critical thinking, as well as developing measuring instruments used to measure these abilities. The research method is quasi-experimentation. The study involved fourth-grade students in two elementary schools in Salatiga totaling 24 students and Yogyakarta totaling 34 students divided into 6 groups. In addition, the research also involved 6 MBKM students who functioned as mentors of each learning group. The activity was designed and conducted based on previous research. The first task includes finding the most appropriate shutter to produce the best photo quality ten times. As for the second task, they were instructed to take 3-5 photos that describe a category. The result of measurement of Categorical Syllogism Critical Thinking showed that categorical syllogism critical thinking learning could increase student engagement in the learning process of critical thinking. Engagement is an important part of the learning process. In addition, based on worksheet data, it was found that the average group managed to find the right answer after 9 tries, and students can assign the right categories for the objects they found. Meanwhile, the measuring device for categorical syllogism critical thinking must be refined to be able to measure changes in critical thinking skill before and after treatment more precisely. Based on this research, this Categorical Syllogism Critical Thinking Learning Model can be a reference for teachers to develop critical thinking learning methods in accordance with the situation and conditions of each school.

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References

Balwant, P. T. (2018). The meaning of student engagement and disengagement in the classroom context: Lessons from organizational behavior. Journal of Further and Higher Education, 42(3), 389-401. https://doi.org/10.1080/0309877X.2017.1281887.

Brosseau-Liard, P. E. (2017). The roots of critical thinking: Selective learning strategies in childhood and their implications. Canadian Psychology/Psychologie Canadienne, 58(3), 263. https://doi.org/10.1037/CAP0000114.

Carter, A. G., Müller, A., Gray, M., Bloxsome, D., Graham, K., Dooley, D., & Sweet, L. (2022). Critical thinking development in undergraduate midwifery students: An Australian validation study using Rasch analysis. BMC Pregnancy And Childbirth, 22(1), 972. https://doi.org/10.1186/s12884-022-05303-9.

Collins, M. F. (2016). Supporting inferential thinking in preschoolers: Effects of discussion on children’s story comprehension. Early Education and Development. https://doi.org/10.1080/10409289.2016.1170523.

Fernández, S. M., & Feliu, T. M. (2020). Developing critical thinking in early childhood through the philosophy of Reggio Emilia. Thinking Skills and Creativity, 37(4). 1-31. https://doi.org/10.1016/j.tsc.2020.100686.

Ifenthaler, D., & Seel, N. M. (2005). The measurement of change: Learning-dependent progression of mental models. Technology, Instruction, Cognition and Learning, 2(4), 317–336.

Leicester, M., & Taylor, D. (2010). Critical thinking across the curriculum: Developing critical thinking skills, literacy, and philosophy in the primary classroom. Open University Press.

Liu, H., Sheng, J., & Zhao, L. (2022). Innovation of teaching tools during robot programming learning to promote middle school students’ critical thinking. Sustainability, 14, 6625. https://doi.org/10.3390/su14116625.

Tiatri, S., & Jap, T. B. (2015). Preliminary investigation on the effectiveness of thinking skill training in Indonesia: Thinking skills training with digital technology. Journal of Psychological & Educational Research, 23(2).

Verner, I. M., Perez, H., & Lavi, R. (2022). Characteristics of student engagement in high-school robotics courses. International Journal of Technology and Design Education, 32(4), 2129-2150. https://doi.org/10.1007/s10798-021-09688-0.

Wang, F., Leung, S. O., & Jiang, C. (2021). Psychometric properties of cognitive and metacognitive learning strategies scale among Chinese senior secondary school students. Journal of Psychoeducational Assessment, 39(6), 761-771. https://doi.org/10.1177/07342829211011806.

Wang, Y., & Ji, Y. (2021). How do they learn: types and characteristics of medical and healthcare student engagement in a simulation-based learning environment. BMC Medical Education, 21(1), 1-13. https://doi.org/10.1186/s12909-021-02858-7.

Wasielewski, J., Rydzewska, K., & Sedek, G. (2021) Effects of depressed mood on syllogistic reasoning: The buffering role of high working memory span. Frontiers in Psychology, 12, 645751. https://doi.org/10.3389/fpsyg.2021.645751.