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Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review

Cilt: 34 Sayı: 1 31 Ocak 2026
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Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review

Öz

Purpose: The purpose of this systematic review is to methodically investigate the pedagogical effects of visual and block-based programming tools used in K–12 artificial intelligence (AI) education. Method: A systematic review was conducted following the PRISMA 2020 guidelines, analyzing 91 articles published between 2019 and 2024 that met the inclusion criteria. The studies were evaluated considering the block-based tools used at various educational levels (elementary, middle, high school, K–12), the AI topics taught, their pedagogical effects, and recommendations for future research. Results: The results show that visual and block-based programming tools are useful for improving students' comprehension of AI principles, problem-solving ability, computational thinking skills, and ethical awareness. The use of these technologies varies across different countries and educational levels; specifically, more advanced applications are observed in OECD member countries due to their superior infrastructure and resources. Highlights: To increase the efficacy of AI education, the study emphasizes the need to strengthen teacher preparation, integrate ethical and social concerns into the curriculum, and develop real-world learning environments. It concludes that block-based and visual programming tools are essential components of K–12 AI instruction, holding significant potential to enhance students' cognitive, affective, and psychomotor skills.

Anahtar Kelimeler

Artificial Intelligence Education, Block-Based Programming, K-12 Education, Pedagogical Impact, Computational Thinking

Kaynakça

  1. Alam, A. (2022). A digital game based learning approach for effective curriculum transaction for teaching-learning of artificial intelligence and machine learning. In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 473–478). IEEE. https://doi.org/10.1109/ICSCDS54817.2022.9760932
  2. Alturayeif, N., Alturaief, N., & Alhathloul, Z. (2020). DeepScratch: Scratch programming language extension for deep learning education. International Journal of Advanced Computer Science and Applications, 11(7). https://doi.org/10.14569/IJACSA.2020.0110777
  3. Andersen, R., Mørch, A. I., & Litherland, K. T. (2022). Collaborative learning with block-based programming: Investigating human-centered artificial intelligence in education. Behaviour & Information Technology, 41(9), 1830–1847. https://doi.org/10.1080/0144929x.2022.2083981
  4. Baldoni, M., Baroglio, C., Bucciarelli, M., Capecchi, S., Gandolfi, E., Gena, C., Ianì, F., Marengo, E., Micalizio, R., Rapp, A., & Ras, I. N. (2024). Does any AI-based activity contribute to develop AI conception? A case study with Italian fifth and sixth grade classes. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 21, pp. 23060–23068). AAAI Press. https://doi.org/10.1609/aaai.v38i21.30350
  5. Basu, S. (2019). Using rubrics integrating design and coding to assess middle school students' open-ended block-based programming projects. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 372–378). ACM. https://doi.org/10.1145/3287324.3287412
  6. Broll, B., & Grover, S. (2023). Beyond black-boxes: Teaching complex machine learning ideas through scaffolded interactive activities. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 13, pp. 15990–15998). AAAI Press. https://doi.org/10.1609/aaai.v37i13.26898
  7. Carrisi, M. C., Marras, M., & Vergallo, S. (2025). A structured unplugged approach for foundational AI literacy in primary education [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2505.21398
  8. Casal-Otero, L., Català, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K–12: A systematic literature review. International Journal of STEM Education, 10(1), Article 29. https://doi.org/10.1186/s40594-023-00418-7
  9. Chiu, T. K. F., Meng, H., Chai, C.-S., King, I., Wong, S., & Yam, Y. (2022). Creation and evaluation of a pre-tertiary artificial intelligence (AI) curriculum. IEEE Transactions on Education, 65(1), 30–39. https://doi.org/10.48550/arXiv.2101.07570
  10. Druga, S., & Ko, A. J. (2021). How do children’s perceptions of machine intelligence change when training and coding smart programs? In Proceedings of the 20th Annual ACM Interaction Design and Children Conference (pp. 416–427). ACM. https://doi.org/10.1145/3459990.3460712

Kaynak Göster

APA
Sıhat, H., & Ocak, M. A. (2026). Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review. Kastamonu Education Journal, 34(1), 186-206. https://doi.org/10.24106/kefdergi.1878127
AMA
1.Sıhat H, Ocak MA. Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review. Kastamonu Eğitim Dergisi. 2026;34(1):186-206. doi:10.24106/kefdergi.1878127
Chicago
Sıhat, Hüseyin, ve Mehmet Akif Ocak. 2026. “Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review”. Kastamonu Education Journal 34 (1): 186-206. https://doi.org/10.24106/kefdergi.1878127.
EndNote
Sıhat H, Ocak MA (01 Ocak 2026) Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review. Kastamonu Education Journal 34 1 186–206.
IEEE
[1]H. Sıhat ve M. A. Ocak, “Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review”, Kastamonu Eğitim Dergisi, c. 34, sy 1, ss. 186–206, Oca. 2026, doi: 10.24106/kefdergi.1878127.
ISNAD
Sıhat, Hüseyin - Ocak, Mehmet Akif. “Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review”. Kastamonu Education Journal 34/1 (01 Ocak 2026): 186-206. https://doi.org/10.24106/kefdergi.1878127.
JAMA
1.Sıhat H, Ocak MA. Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review. Kastamonu Eğitim Dergisi. 2026;34:186–206.
MLA
Sıhat, Hüseyin, ve Mehmet Akif Ocak. “Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review”. Kastamonu Education Journal, c. 34, sy 1, Ocak 2026, ss. 186-0, doi:10.24106/kefdergi.1878127.
Vancouver
1.Hüseyin Sıhat, Mehmet Akif Ocak. Pedagogical Impacts of Block-Based Artificial Intelligence Applications: A Systematic Review. Kastamonu Eğitim Dergisi. 01 Ocak 2026;34(1):186-20. doi:10.24106/kefdergi.1878127