October 31, 2025EMTEKA Jurnal Pendidikan Matematika

Hypothetical Learning Trajectory Computational Thinking Learning Based on Scratchrogramming LCM Material Class V

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Authors

IIIna InayahIndonesia University of Education DDDindin Abdul Muiz Dindin IAIka Fitri AprianiIndonesia University of Education

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Implication

Design research methodology identifies instructional needs for teaching LCM, suggesting technology-enhanced instruction may boost computational thinking levels.

Key Points

Learned retrospective overview on model development integrates technology and pedagogical strategies for LCM teaching.
Findings indicate that combining curriculum analysis and literature review can enhance instructional practices for teachers.
Application of a structured learning trajectory focuses on seven distinct activities to improve understanding of LCM concepts emotionally.
Emerging models highlight the necessity for contextual learning frameworks in enhancing elementary mathematics education.

Cite This Study

Inayah et al. (2025) studied this question.

synapsesocial.com/papers/6903feedb25c631a426600aa https://doi.org/10.24127/emteka.v6i2.8670

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Implication

Design research methodology identifies instructional needs for teaching LCM, suggesting technology-enhanced instruction may boost computational thinking levels.

Hypothetical Learning Trajectory Computational Thinking Learning Based on Scratchrogramming LCM Material Class V

Discussion

Member takes

Implication

Key Points

Cite This Study

Hypothetical Learning Trajectory Computational Thinking Learning Based on Scratchrogramming LCM Material Class V

Discussion

Member takes

Implication

Key Points

Cite This Study

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