Transforming Students’ Pseudo-Thinking Into Real Thinking in Mathematical Problem Solving

Kusmaryono I., Nizaruddin

Abstract

This exploratory and descriptive study aims to theoretically promote the schema of pseudo-thinking processes in mathematical problem-solving by students. The participants in this study were 36 eighth graders and one math teacher. The researchers collected the data using tests and interviews. The results showed that the structure of pseudo-thinking based on the processes of assimilation and accommodation is theoretically composed of five hierarchical components, namely (a) the structure of the problem, (b) the structure of the subject's thinking, (c) the analytic process, (d) the integration of structures or substructures, and (e) the complete integration of structures. When the subject integrates incomplete substructures into existing thinking schemes, assimilation or accommodation becomes imperfect, resulting in cognitive disequilibrium. The results of such a thought process are called pseudo-thinking. Pseudo-thinking processes can be refined and improved into actual thinking processes through reflection and scaffolding. Assimilation and accommodation occur through defragmentation or organization to rearrange the internal schema so that full structural integration occurs. In the end, the subject experiences cognitive equilibrium so that it becomes an actual student thought process.

Journal
International Journal of Educational Methodology
Page Range
477-491
Publication date
2023
Total citations
The cognitive perspective on learning: Its theoretical underpinnings and implications for classroom practices

Yilmaz K.

Cognitive structure determination of prospective science teacher via word association test

Yilmaz E.

Interview protocol refinement: Fine-tuning qualitative research interview questions for multi-racial populations in Malaysia

Hamzah M.I., Ismail N.H., Ismail R., Yeong M.L., Hamzah M.I., Ismail N.H., Ismail R., Yeong M.L.

Defragmentation of Student's Thinking Structures in Solving Mathematical Problems based on CRA Framework

Nengah Parta I., Nusantara T., Subanji, Wibawa K.A., Wibawa K.A., Nengah Parta I., Nusantara T., Subanji, Wibawa K.A., Wibawa K.A.

The pseudo-conceptual and the pseudo-analytical thought processes in mathematics learning

Vinner S., Vinner S.

Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine

Royse C.F., Royse C.F., Terkawi A.S., Terkawi A.S., Terkawi A.S., Tsang S.

Sampling methods in research methodology: How to choose a sampling technique for research

Taherdoost H.

No Title

Taber K. S.

Study of test for significance of pearson’ s correlation coefficient

Raju K. N., Suresh P. L.

Diagnosis of students zone proximal development on math design instruction: A Rasch analysis

Alizamar A., Ardi Z., Daharnis D., Erlinda L., Ifdil I., Prasetyaningtyas W.E., Rahim R., Rangka I.B., Suranata K., Susiani K., Alizamar A., Ardi Z., Daharnis D., Erlinda L., Ifdil I., Prasetyaningtyas W.E., Rahim R., Rangka I.B., Suranata K., Susiani K.

Access to Document