Research Article

Prioritizing software development skill needs for Thai pre-service computer technology teachers

Surachai Pimsalee 1 , Aukkapong Sukkamart 1 * , Paitoon Pimdee 1 , Chontawat Meedee 1
More Detail
1 School of Industrial Education and Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, THAILAND* Corresponding Author
Contemporary Educational Technology, 18(2), April 2026, ep638, https://doi.org/10.30935/cedtech/18039
Published: 04 March 2026
OPEN ACCESS   36 Views   38 Downloads
Download Full Text (PDF)

ABSTRACT

This study aimed to evaluate the current and desired software development skills within the context of Thai undergraduate teacher education. Specifically, the study investigated pre-service computer technology students’ perceptions of secondary learners’ software skill needs in authentic classroom contexts. Seventy-nine participants, including pre-service students, instructors, and teaching mentors, were selected via simple random sampling in June 2025. Data were collected using a 5-point Likert-scale questionnaire measuring current (D) and ideal (I) skill levels, with internal consistency coefficients of 0.87 and 0.96, respectively. The PNImodified (priority needs index modified) method and paired t-tests were used to analyze the gaps. Results showed that participants perceived actual skill levels as generally ‘competent’, while the desired levels were rated as ‘proficient’. The highest training needs were observed in deployment & maintenance (GSA6), followed by programming (GSA4), requirements analysis (GSA2), testing (GSA5), design (GSA3), and planning (GSA1), respectively. These findings highlight the need to align educational curricula with real-world software development practices, including DevOps, secure coding, and testing frameworks.
Keywords: PNI, pre-service ICT teachers, priority needs assessment, software development life cycle, software development skills, perception gap

CITATION (APA)

Pimsalee, S., Sukkamart, A., Pimdee, P., & Meedee, C. (2026). Prioritizing software development skill needs for Thai pre-service computer technology teachers. Contemporary Educational Technology, 18(2), ep638. https://doi.org/10.30935/cedtech/18039

REFERENCES

  1. Aithal, P. S., & Maiya, A. K. (2023). Innovations in higher education industry–Shaping the future. International Journal of Case Studies in Business, IT, and Education, 7(4), 283-311. https://doi.org/10.47992/IJCSBE.2581.6942.0321
  2. Al-Ismail, M. S., Naseralallah, L. M., Hussain, T. A., Stewart, D., Alkhiyami, D., Abu Rasheed, H. M., Daud, A., Pallivalapila, A., & Nazar, Z. (2023). Learning needs assessments in continuing professional development: A scoping review. Medical Teacher, 45(2), 203-211. https://doi.org/10.1080/0142159X.2022.2126756
  3. Borriraklert, A., & Kiattisin, S. (2021). User experience design (UXD) competency model: Identifying well-rounded proficiency for user experience designers in the digital age. Archives of Design Research, 34(3), 61-79. https://doi.org/10.15187/adr.2021.08.34.3.61
  4. Chimnoy, W., Xupravati, P., & Siribanpitak, P. (2023). Academic management strategies of private elementary schools based on the concept of quality citizenship attributes in the 21st century. Kasetsart Journal of Social Sciences, 44(4), 1039-1050. https://doi.org/10.34044/j.kjss.2023.44.4.08
  5. Chompoowong, P., Nilsook, P., & Piriyasurawong, P. (2025). Exploratory factor analysis of digital culture leadership within world-class standard schools in Thailand. Pakistan Journal of Life & Social Sciences, 23(1), 4680-4691. https://doi.org/10.57239/PJLSS-2025-23.1.00371
  6. Civaner, M. M., Uncu, Y., Bulut, F., Chalil, E. G., & Tatli, A. (2022). Artificial intelligence in medical education: A cross-sectional needs assessment. BMC Medical Education, 22(1), Article 772. https://doi.org/10.1186/s12909-022-03852-3
  7. Garcia, P. S., Ferreira, J., Gonçalves, M., Carneiro, T., Figueiredo, E., & Pereira, I. M. (2024). Current DevOps teaching techniques: A systematic literature review. Simpósio Brasileiro de Engenharia de Software, 38. https://doi.org/10.5753/sbes.2024.3503
  8. Gartner Forecasts Worldwide IT Spending. (2024). Gartner forecasts worldwide IT spending to grow 9.3% in 2025. Seeking Apha. https://tinyurl.com/ye8536ur
  9. Gartner. (2025). Gartner predicts that in 68, “Thai IT spending” will be nearly 996,000 million baht, with data centers growing the most. Bank Finance. https://en.moneyandbanking.co.th/2025/153234/
  10. Hao, L., & Kenikasahmanworakhun, P. (2023). A confirmatory factor analysis of competency model of software developers: A case of INTO company. AU-GSB e-JOURNAL, 16(2), 67-75. https://doi.org/10.14456/augsbejr.2023.28
  11. Janpirom, C., Tuntiwongwanich, S., Pimdee, P., Kulworatit, C., & Moto, S. (2025). Lecturers’ perspectives on undergraduate students’ innovative thinking skills and creative problem-solving skills: A comparative needs analysis. International Journal of Instruction, 18(3), 121-140. https://doi.org/10.29333/iji.2025.1837a
  12. Julkaew, T., & Buaraphan, K. (2025). The development of STREAM teaching unit for enhancing students’ creative and engineering design process skills in the motion topic. Anatolian Journal of Education, 10(1), 117-126. https://doi.org/10.29333/aje.2025.1019a
  13. Kaliraj, P., & Devi, T. (Eds.). (2022). Industry 4.0 technologies for education: Transformative technologies and applications. CRC Press. https://doi.org/10.1201/9781003318378
  14. Khamcharoen, N., Kantathanawat, T., & Sukkamart, A. (2022). Developing student creative problem-solving skills (CPSS) using online digital storytelling: A training course development method. International Journal of Emerging Technologies in Learning, 17(11), 17-34. https://doi.org/10.3991/ijet.v17i11.29931
  15. Klinbumrung, K., Surpare, K., & Sukmak, P. (2025). The development of modern learning activities and strengthening training model to promote digital skills for vocational teachers in Thailand. International Journal of Industrial Education and Technology, 7(1), 59-71. https://doi.org/10.55003/IJIET.7107
  16. Nagmoti, N. S., Srivastava, I., & Damle, M. (2025). AI-driven enhancements in cloud-native DevOps boosting automation, deployment, and monitoring. In P. R. Chelliah, R. Venkatesh, N. A. Natraj, & R.Jeyaraj (Eds.), Artificial intelligence for cloud-native software engineering (pp. 203-236). IGI Global. https://doi.org/10.4018/979-8-3693-9356-7.ch008
  17. Phuangsuwan, P., Limna, P., & Siripipatthanakul, S. (2024). Ethics in the social sciences research. Advance Knowledge for Executives, 3(4), Article 49.
  18. Prasittichok, P., & Klaykaew, K. K. (2022). Meta-skills development needs assessment among undergraduate students. Heliyon, 8(1), Article e08787. https://doi.org/10.1016/j.heliyon.2022.e08787
  19. Sahai, A. K., & Rath, N. (2021). Artificial intelligence and the 4th Industrial Revolution. In S. K. Panda, V. Mishra, R. Balamurali, & A. A. Elngar (Eds.), Artificial intelligence and machine learning in business management (pp. 127-143). CRC Press. https://doi.org/10.1201/9781003125129
  20. Singh, A. S., & Masuku, M. B. (2014). Sampling techniques & determination of sample size in applied statistics research: An overview. International Journal of Economics, Commerce and Management, 2(11), 1-22.
  21. Singh, C., Gaba, N. S., Kaur, M., & Kaur, B. (2019). Comparison of different CI/CD tools integrated with cloud platform. In Proceedings of the 2019 9th International Conference on Cloud Computing, Data Science & Engineering (pp. 7-12). IEEE. https://doi.org/10.1109/CONFLUENCE.2019.8776985
  22. Singh, G., Kaul, P., & Tiwari, G. N. (2025). Exploring middle school students’ attitudes and engagement in coding: An analysis of interest, motivation, confidence, and anxiety. International Journal of Environmental Sciences, 11(3), 688-697.
  23. Sureeyatanapas, P., Srisawasdi, N., & Sureeyatanapas, P. (2024). A need analysis of English proficiency in engineering graduates: Perspectives of the world’s leading companies in Thailand. European Journal of Engineering Education, 49(6), 1179-1202. https://doi.org/10.1080/03043797.2024.2377314
  24. Wuttikamonchai, O., Pimdee, P., Ployduangrat, J., & Sukkamart, A. (2024). A needs assessment evaluation of information technology student mobile website design skills. Contemporary Educational Technology, 16(1), Article ep494. https://doi.org/10.30935/cedtech/14173
  25. Yurayat, P., & Seechaliao, T. (2021). Needs assessment to develop online counseling program. International Education Studies, 14(7), 59-71. https://doi.org/10.5539/ies.v14n7p59