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A Living Lab Model for Elementary Informatics Education: Enhancing Sustainability Competencies Through Collaborative Problem-Solving, Computational Thinking, and Communication

Author

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  • Jungmyoung Son

    (Elementary School Affiliated with Korea National University of Education, Cheongju 28172, Republic of Korea)

  • Seulki Kim

    (Department of Computer Education, Korea National University of Education, Cheongju 28173, Republic of Korea)

Abstract

Rapid digital transformation demands educational approaches that effectively equip students with competencies crucial for addressing real-world sustainability challenges. This study introduces and evaluates a Living Lab-based collaborative problem-solving educational model explicitly designed to enhance collaborative problem-solving (CPS), computational thinking (CT), and collaborative communication (CC) within elementary informatics education. Aligned with South Korea’s 2022 revised curriculum, this quasi-experimental research involved 196 elementary students, divided into experimental and control groups. Both groups participated in pre- and post-tests measuring CPS, CC, and CT competencies. The experimental group actively engaged in structured, community-based tasks integrating informatics concepts with authentic, real-world problems, whereas the control group experienced traditional instruction methods. Statistical analysis demonstrated significant improvements in the experimental group’s CPS and CT competencies (e.g., applying problem-solving strategies increased from 3.44 to 3.93, p < 0.001; ICT usage from 3.40 to 3.82, p = 0.002). However, advancements in CC were comparatively modest (creative communication increased from 3.31 to 3.81, p = 0.006), highlighting the necessity for explicit and structured communication interventions within collaborative frameworks. This study confirms the effectiveness of the Living Lab-based collaborative problem-solving educational model in cultivating comprehensive competencies essential for sustainable development, while underscoring the need for further integration of targeted communication strategies to maximize educational impact. Future implementations should prioritize structured communication training to fully leverage the model’s interdisciplinary potential.

Suggested Citation

  • Jungmyoung Son & Seulki Kim, 2025. "A Living Lab Model for Elementary Informatics Education: Enhancing Sustainability Competencies Through Collaborative Problem-Solving, Computational Thinking, and Communication," Sustainability, MDPI, vol. 17(13), pages 1-22, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5811-:d:1686144
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    References listed on IDEAS

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    1. Zhenzhen He & Xuemei Wu & Qiyun Wang & Changqin Huang, 2021. "Developing Eighth-Grade Students’ Computational Thinking with Critical Reflection," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    2. Jun Peng & Bei Yuan & Meng Sun & Meilin Jiang & Minhong Wang, 2022. "Computer-Based Scaffolding for Sustainable Project-Based Learning: Impact on High- and Low-Achieving Students," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    3. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    4. Ayşegül Tongal & Fatih Serdar Yıldırım & Yasin Özkara & Serkan Say & Şükran Erdoğan, 2024. "Examining Teachers’ Computational Thinking Skills, Collaborative Learning, and Creativity Within the Framework of Sustainable Education," Sustainability, MDPI, vol. 16(22), pages 1-18, November.
    5. Temitayo Shenkoya & Euiseok Kim, 2023. "Sustainability in Higher Education: Digital Transformation of the Fourth Industrial Revolution and Its Impact on Open Knowledge," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    6. Alba Lozano & Roberto López & Fernando J. Pereira & Carolina Blanco Fontao, 2022. "Impact of Cooperative Learning and Project-Based Learning through Emotional Intelligence: A Comparison of Methodologies for Implementing SDGs," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
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