Ibis paint to improve digital design skills, creativity, and visual communication in vocational fashion education: a systematic review

Journal of Counseling, Education and Society November 04, 2026 Volume 7, Number 1 3 authors

Abstract

Digital tools are increasingly used in vocational fashion education to support technical design skills, creative exploration, and the communication of design concepts. This systematic literature review synthesizes 25 studies mapped in the submitted manuscript and reported through a PRISMA 2020 flow diagram. The review examines digital fashion-design practices, creativity, and visual communication, with Ibis Paint X treated as one application-specific case rather than the sole theoretical focus. The synthesis indicates three connected processes: application skills support the production and refinement of digital illustrations; creative thinking supports originality, flexibility, and elaboration; and visual communication depends on how clearly the resulting illustration conveys design concepts. Evidence directly concerning Ibis Paint is concentrated in a small group of studies, while other publications address broader digital design, artificial intelligence, and vocational learning. One reported one-group study involving nine students showed an increase in mean scores from 51.1 to 91.1, but its design and small sample do not establish a causal effect. The review therefore proposes a conceptual pathway linking technical execution, creative development, and visual message clarity. The findings support teaching that combines guided application practice, iterative design exploration, and assessment of both process and visual outcomes.

Authors

  1. Emha Basma Lazuwara Hasbi Nabila

    Master’s Program in Vocational and Technical Education, Graduate School, State University of Surabaya

  2. Ratna Suhartini

    Master’s Program in Vocational and Technical Education, Graduate School, State University of Surabaya

  3. Deny Arifiana

    Master’s Program in Vocational and Technical Education, Graduate School, State University of Surabaya

Keywords

Ibis paint XFashion design skillsCreativityVisual communicationVocational educationSystematic literature review

References

  1. Abrusci, L., Dabaghi, K., D’Urso, S., & Sciarrone, F. (2025). AI4Design: A generative AI-based system to improve creativity in design–A field evaluation. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100401
  2. Balloni, E., Stacchio, L., Mancini, A., Frontoni, E., Zingaretti, P., & Paolanti, M. (2025). A Neural Rendering system for fashion design process. Engineering Applications of Artificial Intelligence. https://doi.org/https://doi.org/10.1016/j.engappai.2025.110773
  3. Cao, Y. (2025). Constructing a future-skills talent training mechanism for vocational undergraduate fashion design in the age of digital intelligence. Vocation Technology Education, 2. https://doi.org/mber 2025; Acchttps://doi.org/10.54844/vte.2025.1076
  4. Cong, X., & Zhang, W. (2024). The application of hierarchical perception technology based on deep learning in 3D fashion design. Heliyon, 10. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e29983
  5. Ernawati, E., Ferdian, F., & Zur, R. (2023). Improving fashion design learning outcomes by problem based learning model in Vocational High School. Jurnal Pendidikan Teknologi Kejuruan, 6(3). https://doi.org/th 2023; Revised June 13rd 2023; Accepted Juhttps://doi.org/10.24036/jptk.v6i3.2522
  6. Fadhilah, D. N., Sari, L., & Nurahman, A. (2023). Vocational school students’ perceptions toward science learning activities in the context of fashion design. Research in Phyiscs Education, 2(1).
  7. Farkhatun, F., Wahyuningsih, E., & Supraptono, E. (2021). Increasing Fashion Design Creativity by Using the Ibis Paint X Application Module. Journal of Vocational Career Education, 6(2), 150–157. https://journal.unnes.ac.id/nju/index.php/jvce
  8. Fauziyyah, J., Putri, E. Y., & Suci, P. H. (2026). PENGEMBANGAN E-JOBSHEET PADA PENGGUNAAN APLIKASI IBIS PAINT X TANPA STYLUS SEBAGAI BAHAN AJAR DESAIN TATA BUSANA MAN 1 KOTA BUKITTINGGI DEVELOPMNET OF AN E-JOBSHEET FOR THE USE OF IBIS PAINT X APPLICATION WITHOUT A STYLUS AS TEACHING MATERIAL FOR FASHION. Jurnal Balitbang Lampung, 14(1), 1–9.
  9. Held, T., & Mejeh, M. (2024). Students’ motivational trajectories in vocational education: Effects of a self-regulated learning environment. Heliyon, 10. https://doi.org/10.1016/j.heliyon.2024.e29526
  10. Indriati, D. N., Suhartini, R., & Soeryanto, S. (2026). The effects of digital fashion literacy, critical thinking, and perseverance on students’ creative thinking ability in fashion design education. Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan, 6(7), Article 7. https://doi.org/10.17977/um065.v6.i7.2026.7
  11. Indriati, D. N., Suhartini, R., Nurlaela, L., Ramdhani, R. M., & Buditjahjanto, I. G. P. A. (2025). Penggunaan Aplikasi Ibis Paint untuk Meningkatkan Kreativitas Murid Kelas XI Desain Dan Produksi Busana SMKN 2 Magetan. Jurnal Edueco Universitas Balikpapan, 8(2), 655–666.
  12. Jannah, R., Fitriati, I., Irawati, I., Fitrianingsih, N., Informasi, P. T., & Samawa, U. (2025). Implementation Of Ibis Pain X Application in Fashion Design Learning Based on Students ’ Learning Interests Implementasi Aplikasi Ibis Pain X Dalam. Jurnal Invotek Polbeng-Seri Informatika, 10(2), 1035–1044.
  13. Kholifah, N., Nurtanto, M., Sutrisno, V. L. P., Majid, N. W. A., Subakti, H., Daryono, R. W., & Achmadi., A. (2025). Unlocking workforce readiness through digital employability skills in vocational education Graduates: A PLS-SEM analysis based on human capital Theory. Social Sciences & Humanities Open. https://doi.org/https://doi.org/10.1016/j.ssaho.2025.101625
  14. Ki, C.-W. (Chloe), Lee, H. (Aiden), Lam, M., Aw, E. C.-X., & Wong, C. W. Y. (2025). How is NFT fashion distinct from digital fashion? insights from mixed-methods research combining social listening and Consumer surveys. Journal of Retailing and Consumer Services. https://doi.org/https://doi.org/10.1016/j.jretconser.2025.104379
  15. Li, H., Wu, J., Chen, Z., Xu, W., & He, L. (2025). FS-control: Artistic fashion design with discriminated and conditional diffusion model. Computers & Graphics. https://doi.org/https://doi.org/10.1016/j.cag.2025.104304
  16. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., & Mulrow, C. D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
  17. Pan, H., Ismail, A. I. bin, Alwi, A., & Mahmuddin, M. (2025). The application and optimization of style transfer neural network based on deep learning in fashion design. Systems and Soft Computing, 7. https://doi.org/https://doi.org/10.1016/j.sasc.2025.200277
  18. Ruhidawati, C., Karmila, M., Katiah, K., Wiana, W. W., & Sakti, A. W. (2025). Pengembangan kompetensi guru dan peserta didik keahlian busana dalam mendesain busana digital dengan Ibis Paint X di SMK Sukapura Tasikmalaya. Jurnal Abmas, 24(2), 169–174. https://doi.org/https://doi.org/10.17509/abmas.v24i2.75894
  19. Shi, Y., Gao, T., Jiao, X., & Cao, N. (2023). Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature Review. Association for Computing Machinery, 7(2). https://doi.org/https://doi.org/10.1145/3610217
  20. Sholikhah, R., Widowati, W., & Nurmasitah, S. (2023). Development of Digital Fashion Illustration Media Using Ibis Paint X Software to Improve The Competence of UNNES Fashion Students. International Journal of Active Learning, 8(2), 130–140.
  21. Soomro, S. A., Nanjappan, V., Casakin, H., & Georgiev, G. V. (2025). Fostering technical skills and creativity in the digital fabrication spaces: an open-ended prototyping approach. International Journal of Technology and Design Education, 35(3), 1081–1102. https://doi.org/10.1007/s10798-024-09940-3
  22. Sudiarsana, I. G. N. A., Rediasa, I. N., & Sudarmawan, A. (2023). Penggunaan Aplikasi Ibis Paint X pada Pembelajaran Kelas Fase F Seni Lukis Digital di SMK Negeri 1 Sukasada. Jurnal Pendidikan Seni Rupa Undiksha, 13(3). https://doi.org/https://doi.org/10.23887/jjpsp.v13i3.73307
  23. Sun, S., Zur, R. B., Su, D., Li, Q., & Yang, H. (2026). A data-driven study of cultural radiation and transformation in fashion design through artificial intelligence. Journal of Radiation Research and Applied Sciences. https://doi.org/https://doi.org/10.1016/j.jrras.2026.102460
  24. Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 4. https://doi.org/https://doi.org/10.1186/1471-2288-8-45
  25. Wati, W. R., Sariyatun, S., & Sudiyanto, S. (2024). Advancing Fashion Design Education: Evaluating the Eligibility of Video Tutorial Media for Basic Pattern Content in Vocational High School. Journal of Educational Research and Evaluation, 8(3). https://doi.org/https://doi.org/10.23887/jere.v8i3.76069
  26. Weems, J. (2026). Productive negative emotions in creative studio-practice in higher education fashion design programmes. Thinking Skills and Creativity. https://doi.org/Contents lists available at ScienceDirect Thinking Skills and Creativity journal homepage: www.elsevier.com/locate/tsc https://doi.org/10.1016/j.tsc.2025.102123
  27. Wu, Z., Wang, Y., & Long, X. (2025). Reform path and empirical exploration of visual communication design education based on graph neural network. Systems and Soft Computing, 7. https://doi.org/https://doi.org/10.1016/j.sasc.2025.200413
  28. Xie, C., Lai, F., Zhang, J., & Huang, S. (Sam). (2025). Transforming intangible cultural heritage in destinations: A fashion communication perspective. Tourism Management. https://doi.org/https://doi.org/10.1016/j.tourman.2025.105161
  29. Yang, M., & Jin, J. (2026). The adoption behavior of fashion designers toward AIGC: The interaction of psychological motivation and perceived risk. Acta Psychologica. https://doi.org/https://doi.org/10.1016/j.actpsy.2025.106194
  30. Yu, Q., Yongfeng, M., Jiaheng, H., & Yunci, Y. (2024). Solar space thermal energy utilization and AI navigation based on light sensors in museum visual communication design. Thermal Science and Engineering Progress. https://doi.org/https://doi.org/10.1016/j.tsep.2024.102874