ANALISIS KESIAPAN PEDAGOGICAL DIGITAL INTELLIGENCE PADA CALON GURU TEKNOLOGI INFORMASI DI ERA PEMBELAJARAN BERBANTUAN AI

Authors

  • Amelia Putri Universitas Putra Indonesia YPTK Padang
  • Doni Pernanda Universitas Putra Indonesia YPTK Padang
  • Bilal Al Misbar Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.46306/jion.v2i2.305

Keywords:

pedagogical digital intelligence, prospective information technology teachers, AI-supported learning, pedagogical readiness, digital intelligence

Abstract

The development of artificial intelligence (AI)–supported learning requires prospective Information Technology teachers not only to possess technical digital skills but also to demonstrate pedagogical digital intelligence in making reflective and ethical instructional decisions. This study aims to analyze the level of Pedagogical Digital Intelligence (PDI) readiness among prospective Information Technology teachers in the era of AI-supported learning. The research employed a quantitative approach using a descriptive-analytical survey method. The participants were prospective Information Technology teachers who had completed pedagogical and technology-related courses. Data were collected through a PDI readiness questionnaire encompassing four dimensions: digital technology mastery, basic AI understanding, AI-based pedagogical decision-making, and ethical considerations and digital responsibility. Data analysis was conducted descriptively by examining mean scores and readiness categories for each dimension. The results indicate that the overall level of pedagogical digital intelligence readiness among prospective Information Technology teachers falls within the moderately ready category. The dimensions of digital technology mastery and basic AI understanding demonstrate higher readiness levels compared to AI-based pedagogical decision-making and ethical considerations in AI use. These findings suggest that prospective teachers tend to be more technically prepared than pedagogically and reflectively prepared. The study highlights the importance of strengthening pedagogical digital intelligence in Information Technology teacher education programs to ensure the critical, ethical, and responsible integration of AI in educational practice

Downloads

Download data is not yet available.

References

Bond, M., Zawacki-Richter, O., & Nichols, M. (2019). Revisiting five decades of educational technology research: A content and authorship analysis of the British Journal of Educational Technology. British Journal of Educational Technology, 50(1), 12–63. https://doi.org/10.1111/bjet.12730

DigCompEdu. (2017). European framework for the digital competence of educators. Publications Office of the European Union. https://doi.org/10.2760/159770

Floridi, L., Cowls, J., Beltrametti, M., et al. (2018). AI4People—An ethical framework for a good AI society. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5

Koehler, M. J., Mishra, P., & Cain, W. (2013). What is technological pedagogical content knowledge (TPACK)? Journal of Education, 193(3), 13–19. https://doi.org/10.1177/002205741319300303

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu. Publications Office of the European Union. https://doi.org/10.2760/159770

Scherer, R., Tondeur, J., Siddiq, F., & Baran, E. (2018). The importance of attitudes toward technology for pre-service teachers’ technological, pedagogical, and content knowledge. Computers in Human Behavior, 80, 25–35. https://doi.org/10.1016/j.chb.2017.11.032

Selwyn, N. (2019). What’s the problem with learning analytics? Journal of Learning Analytics, 6(3), 11–19. https://doi.org/10.18608/jla.2019.63.3

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235.

https://doi.org/10.1080/17439884.2020.1798995

Downloads

Published

2025-11-30

How to Cite

Putri, A. ., Pernanda, D. ., & Misbar, B. A. . (2025). ANALISIS KESIAPAN PEDAGOGICAL DIGITAL INTELLIGENCE PADA CALON GURU TEKNOLOGI INFORMASI DI ERA PEMBELAJARAN BERBANTUAN AI. Journal Intech and Education, 2(2), 90–97. https://doi.org/10.46306/jion.v2i2.305