Analysis of Teacher and Student Readiness in Implementing Coding-Based Learning and  Artificial Intelligence at Vocational  High School 1 Mempawah Timur

Danar Santoso; Chandra Lesmana; Muhamad Arpan

doi:10.26737/jetl.v10i2.9000

Analysis of Teacher and Student Readiness in Implementing Coding-Based Learning and Artificial Intelligence at Vocational High School 1 Mempawah Timur

Danar Santoso, Chandra Lesmana, Muhamad Arpan

Abstract

This study aimed to analyze the readiness of teachers and students in implementing coding-based learning at SMK Negeri 1 Mempawah Timur. The research employed a quantitative descriptive approach with the research respondents were 10 teachers and 45 students. Data collection techniques including questionnaires, interviews, and documentation. The results indicate that both teacher and student readiness were categorized as moderately ready. Teachers showed positive attitudes toward coding-based learning; however, limitations remain in terms of technical skills and school facility support. Similarly, students demonstrate adequate motivation and positive attitudes toward technology, yet they still require guidance in the use of digital learning tools. Therefore, strategic efforts such as continuous teacher training, improvement of school facilities, and enhanced student learning support are necessary to ensure the effective and sustainable implementation of coding-based learning in vocational high schools.

Keywords

coding-based learning; teacher readiness; student readiness; artificial intelligence; vocational education.

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References

Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2021). Mapping research in student engagement and educational technology in higher education: A systematic evidence map. International Journal of Educational Technology in Higher Education, 18(1), 1–30. doi:10.1186/s41239-021-00249-1

Chiu, T. K. F. (2021). Digital support for student engagement in blended learning based on self-determination theory. Computers in Human Behavior, 124, 106909. doi:10.1016/j.chb.2021.106909

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1–22. doi:10.1186/s41239-023-00392-3

Instefjord, E. J., & Munthe, E. (2017). Educating digitally competent teachers: A study of integration of professional digital competence in teacher education. Teaching and Teacher Education, 67, 37–45. doi:10.1016/j.tate.2017.05.016

Kemendikbud. (2022). Policy on strengthening technology- and coding-based learning in educational units. Jakarta, Indonesia: Ministry of Education, Culture, Research, and Technology. Retrieved from https://www.kemdikbud.go.id/

Lai, J. W. M., & Bower, M. (2019). How is the use of technology in education evaluated? A systematic review. Computers & Education, 133, 27–42. doi:10.1016/j.compedu.2019.01.010

Mulyasa, E. (2017). Becoming a professional teacher: Creating creative and enjoyable learning. Bandung, Indonesia: Remaja Rosdakarya.

OECD. (2019). OECD learning compass 2030. Paris, France: OECD Publishing. Retrieved from https://www.oecd.org/education/2030-project/

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. doi:10.1016/j.caeai.2021.100020

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. doi:10.1016/j.edurev.2017.09.003

Sugiyono. (2022). Educational research methods: Quantitative, qualitative, and R&D approaches. Bandung, Indonesia: Alfabeta.

Tikva, C., & Tambouris, E. (2021). A systematic mapping study on teaching and learning computational thinking through programming in higher education. Thinking Skills and Creativity, 41, 100849. doi:10.1016/j.tsc.2021.100849

Tondeur, J., van Braak, J., Siddiq, F., & Scherer, R. (2017). Time for a new approach to prepare future teachers for educational technology use: Its meaning and measurement. Computers & Education, 94, 134–150. doi:10.1016/j.compedu.2015.11.009

DOI: http://dx.doi.org/10.26737/jetl.v10i2.9000

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