Computational Thinking in Elementary School: Analysis of Teacher Readiness and Implementation Strategy in the Indonesian Context

Authors

DOI:

https://doi.org/10.22460/jiml.v8i4.29866

Keywords:

Computational Thinking , Teacher Readiness , Curriculum Implementation , Elementary School , Teacher Expertise

Abstract

Computational thinking (CT) has been recognized globally as a fundamental 21st-century competency essential for elementary students. However, research analyzing teacher readiness and implementation experiences in the Indonesian context remains limited. This research aims to analyze how teachers with different expertise levels understand, implement, and perceive computational thinking instruction at grades 3-4 in Indonesian elementary schools. This study adopted a qualitative phenomenological content analysis approach with 12 semi-structured interview questions administered to three elementary school teachers with varying expertise levels (expert, intermediate, novice). Teachers were selected using purposive sampling from elementary schools in Bandung. The interview data were analyzed systematically using ATLAS.ti 24 software, generating 36 individual codes across five major themes: conceptual understanding, teaching strategies, implementation challenges, perception of effectiveness, and professional development needs. The findings reveal significant expertise stratification among teachers, with distinct patterns of CT understanding and implementation approaches. All three teachers demonstrated genuine commitment to student learning and acknowledged that professional development training alone is insufficient without institutional support. Expert teachers showed comprehensive understanding, intermediate teachers demonstrated practical adaptation, and novice teachers showed foundational approaches with positive agency. This research provides evidence-based insights into teacher readiness essential for formulating systemic recommendations. Successful CT implementation requires differentiated professional development, structured mentoring systems, institutional support mechanisms, and long-term policy commitments.

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2025-12-01

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