 (Industrial Engineering, Faculty of Engineering, Universitas Negeri Yogyakarta, Indonesia)
 (Industrial Engineering, Faculty of Engineering, Universitas Negeri Yogyakarta, Indonesia)(2) Heri Nurdiyanto
 (Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Indonesia)
 (Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Indonesia)*corresponding author
| AbstractIn the contemporary landscape of education, integrating informatics into vocational education has emerged as a crucial strategy for enhancing student competence and preparing them for the demands of the modern workforce. This paper explores the role of informatics-based vocational education in developing the technical and cognitive skills required in today’s technology-driven industries. By embedding informatics into vocational curricula, students gain hands-on experience with advanced technologies, fostering a deeper understanding of computational thinking, problem-solving, and data analysis. The study outlines the theoretical framework for informatics-based education, emphasising its significance in vocational training. It highlights the importance of aligning educational programs with industry standards and technological advancements to ensure graduates have relevant and up-to-date skills. Through an extensive literature review, the paper identifies key components of effective informatics-based vocational education, including curriculum design, pedagogical approaches, and assessment methodologies. Several case studies illustrate the practical benefits of informatics in vocational education. For instance, a technical school incorporating coding and data analytics into its curriculum reported a significant increase in student engagement and achievement. Similarly, a vocational college that adopted simulation-based learning for industrial automation saw enhanced proficiency among students in operating complex machinery. The paper also addresses the challenges associated with implementing informatics-based vocational education. These include the need for continuous professional development for educators, investment in up-to-date technological infrastructure, and creating partnerships with industry to provide real-world learning opportunities. To overcome these challenges, the paper suggests a multifaceted approach that involves policy support, stakeholder collaboration, and ongoing research into best practices. In conclusion, informatics-based vocational education holds substantial potential for improving student competence by equipping them with essential skills for the digital age. By fostering a learning environment that integrates technology and industry relevance, vocational education can produce a workforce that is proficient in technical skills and adaptable to the evolving demands of the job market. This paper underscores the necessity of embracing informatics in vocational training to ensure that students are prepared for the complexities of the future workplace. KeywordsInformatics-based education, Vocational training, Student competence, Technical skills, Computational thinking | 
| DOIhttps://doi.org/10.29099/ijair.v7i2.1180 | Article metrics10.29099/ijair.v7i2.1180 Abstract views : 753 | PDF views : 135 | Cite | Full Text Download | 
References
T. Seyman-Guray and B. Kismet, “Drivers and barriers on implementing XR technologies in the construction industry in Turkey,” Int. J. Constr. Manag., vol. 24, no. 9, pp. 959–974, 2024, doi: 10.1080/15623599.2023.2239498.
A. H. Rakha, “Reflections on augmented reality codes for teaching fundamental defensive techniques to boxing beginners,” PLoS One, vol. 19, no. 4 April, Apr. 2024, doi: 10.1371/JOURNAL.PONE.0301728.
A. Sakr and T. Abdullah, “Virtual, augmented reality and learning analytics impact on learners, and educators: A systematic review,” Educ. Inf. Technol., 2024, doi: 10.1007/S10639-024-12602-5.
M. A. Feijoo-Garcia, M. S. Holstrom, A. J. Magana, and B. A. Newell, “Simulation-Based Learning and Argumentation to Promote Informed Design Decision-Making Processes within a First-Year Engineering Technology Course,” Sustain. , vol. 16, no. 7, Apr. 2024, doi: 10.3390/SU16072633.
C. Y. Charalambous and A. K. Praetorius, “Synthesizing collaborative reflections on classroom observation frameworks and reflecting on the necessity of synthesized frameworks,” Stud. Educ. Eval., vol. 75, Dec. 2022, doi: 10.1016/j.stueduc.2022.101202.
J. A. Rosen, Y. Hong, S. Rutledge, M. Cannata, S. Rotermund, and K. Leu, “Improving SEL outcomes for US 9th graders: Results from a District Wide School Reform,” Stud. Educ. Eval., vol. 75, Dec. 2022, doi: 10.1016/j.stueduc.2022.101212.
E. A. Mamaeva, V. V. Utemov, I. V. Abramova, and L. G. Shestakova, “Enhancing research skills of schoolchildren through 3D modeling,” Perspect. Sci. Educ., vol. 68, no. 2, pp. 595–613, May 2024, doi: 10.32744/PSE.2024.2.36.
M. Berndt, J. W. Strijbos, and F. Fischer, “Impact of sender and peer-feedback characteristics on performance, cognitive load, and mindful cognitive processing,” Stud. Educ. Eval., vol. 75, Dec. 2022, doi: 10.1016/j.stueduc.2022.101197.
M. Zahid Iqbal and A. G. Campbell, “AGILEST approach: Using machine learning agents to facilitate kinesthetic learning in STEM education through real-time touchless hand interaction,” Telemat. Informatics Reports, vol. 9, Mar. 2023, doi: 10.1016/j.teler.2022.100034.
X. Wu, X. Ma, and X. Luo, “Can less be more? Effects of study load on science achievement among Chinese eighth-grade students,” Stud. Educ. Eval., vol. 75, Dec. 2022, doi: 10.1016/j.stueduc.2022.101219.
B. Díaz-Lauzurica and D. Moreno-Salinas, “Applying Design Thinking to Enhance Programming Education in Vocational and Compulsory Secondary Schools,” Appl. Sci., vol. 13, no. 23, Dec. 2023, doi: 10.3390/APP132312792.
I. Zvarych, I. Tonkonoh, I. Bopko, S. Melnychuk, K. Mehela, and T. Shyrmova, “The effectiveness of using simulation in learning a foreign language,” Forum Linguist. Stud., vol. 5, no. 3, 2023, doi: 10.59400/FLS.V5I3.1916.
M. Sailer et al., “Adaptive feedback from artificial neural networks facilitates pre-service teachers’ diagnostic reasoning in simulation-based learning,” Learn. Instr., vol. 83, Feb. 2023, doi: 10.1016/J.LEARNINSTRUC.2022.101620.
M. Yang, D. She, Q. Xu, W. Zhang, C. Qu, and X. Hu, “Inefficiencies of augmented reality for different sexes and grades in Chinese vocational education,” Sci. Rep., vol. 13, no. 1, Dec. 2023, doi: 10.1038/S41598-023-48727-9.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
________________________________________________________
The International Journal of Artificial Intelligence Research
Organized by: Prodi Teknik Informatika Fakultas Teknologi Bisnis dan Sains
Published by: Universitas Dharma Wacana
Jl. Kenanga No. 03 Mulyojati 16C Metro Barat Kota Metro Lampung
Email: jurnal.ijair@gmail.com

This work is licensed under  Creative Commons Attribution-ShareAlike 4.0 International License.
 







 
  
  
  
  
  Email this article
			Email this article 




