Determinasi Keterampilan dan Motivasi Teknologi terhadap Kreativitas Mahasiswa PGSD dalam Mendesain Worksheet Joyful learning

  • Zuhra Meiliza Universities Sulawesi Barat,  Indonesia
  • Eli Meivawati Universitas Sulawesi Barat, Majene, Sulawesi Barat,  Indonesia
  • Husnul Khatimah Universitas Sulawesi Barat, Majene, Sulawesi Barat,  Indonesia

Abstract

The advancement of digital technology requires pre-service teachers to possess both the skills and motivation to utilize technology. They should not be passive users but rather active developers of instructional media that incorporate technological elements. This study aims to analyze the influence of technological skills and technological motivation on students’ creativity in designing joyful learning-based worksheets. The research was conducted in July 2025, involving 118 students from the Elementary Teacher Education (PGSD) program at Universitas Sulawesi Barat. Data were collected using a four-point Likert scale questionnaire comprising 17 items, of which 8 were validated. Data analysis employed Structural Equation Modeling-Partial Least Squares (SEM-PLS) using SmartPLS software. Descriptive analysis revealed that the majority of respondents were 20 years old (53%) and predominantly female (82.2%). The measurement model (outer model) confirmed the validity and reliability of the instrument, while the structural model (inner model) yielded an R² value of 0.752 for the student creativity construct, indicating a strong effect. Bootstrapping analysis showed that both technological skills (p = 0.000) and technological motivation (p = 0.000) had a positive and significant influence on student creativity. These findings affirm that the higher the students’ technological skills and motivation, the greater their creativity in developing innovative instructional media. This study expands the theoretical understanding of the integration between technology and pedagogical creativity, and offers practical implications for curriculum development that responds to the demands of the digital era.

Keywords: technological skills, technological motivation, student creativity, joyful learning, SEM-PLS

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Published
2025-12-23
How to Cite:
Meiliza, Z., Meivawati, E., & Khatimah, H. (2025). Determinasi Keterampilan dan Motivasi Teknologi terhadap Kreativitas Mahasiswa PGSD dalam Mendesain Worksheet Joyful learning . Ideguru: Jurnal Karya Ilmiah Guru, 10(3), 2104-2113. https://doi.org/10.51169/ideguru.v10i3.2122
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Research Articles
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References

Aesaert, K., & van Braak, J. (2020). Digital skills: An update and clarification. Computers & Education, 148.

Aisyah, S., Prasetyo, T., & Handayani, F. (2023). Digital motivation and creativity in higher education: Exploring students’ adoption of emerging technologies. International Journal of Emerging Technologies in Learning, 18(5), 45–48.

Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology Acceptance Model in M-learning context: A systematic review. Computers & Education, 125, 389–412.

Agustina, A., Ramayani, C., & Putri, R. D. (2023). Pengaruh penggunaan media pembelajaran berbasis teknologi terhadap motivasi belajar siswa sekolah dasar. Jurnal Basicedu

Aziz, A., Fauzi, M., & Jannah, R. (2023). The role of lecturers in shaping students’ creativity in higher education. In Proceedings of the 3rd International Conference on Linguistics and Language Education (AICOLLIM-22) (pp. 41–47). Atlantis Press.

Charyton, C. (2021). Creativity in college students: A review of assessment, correlates, and interventions. Journal of Creative Behavior, 55(2), 295–309. https://doi.org/10.1002/jocb.466

Chen, H. C., & Yang, Y. C. (2019). Revisiting the four-criterion framework of creativity: An empirical study of college students. Thinking Skills and Creativity, 34, 100584. https://doi.org/10.1016/j.tsc.2019.100584

Egwutvongsa, S. (2023). Students’ creativity in product design: An empirical structural model. Journal of Educational and Social Research, 13(5), 161–174. https://doi.org/10.36941/jesr-2023-0135

G. C., S. B., Bhandari, P., Gurung, S. K., Srivastava, E., Ojha, D., & Dhungana, B. R. (2024). Examining the role of social influence, learning value and habit on students’ intention to use ChatGPT: The moderating effect of information accuracy in the UTAUT2 model. Cogent Education, 11(1), 2403287. https://doi.org/10.1080/2331186X.2024.2403287

Groeneveld, R., Scherz, M., Snijders, R., & Doorn, E. (2023). Students’ and professionals’ perspectives on creativity in software engineering. arXiv preprint. https://arxiv.org/abs/2312.12014

Hair, J. F. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). sage.

Henriksen, D., Mishra, P., & Fisser, P. (2021). Infusing creativity in teacher education: Learning and innovation for 21st-century classrooms. Journal of Technology and Teacher Education, 29(1), 5–22.

Henriksen, D., Mishra, P., & Mehta, R. (2018). Creativity and technology in teaching and learning: A literature review of the uneasy space of implementation. Educational Technology Research and Development, 66(4), 1051–1073.

Henriksen, D., Woo, L. J., & Mishra, P. (2024). Working with constraints: Creativity through repurposing. In Exploring Perspectives on Creativity Theory and Research in Education (pp. 3–22). Springer.

Huang, L., Liu, F., & Xie, J. (2024). A systematic review of technology-enabled teacher professional development during COVID-19. Computers & Education, 212, 105082. https://doi.org/10.1016/j.compedu.2024.105082

Ifenthaler, D., Mah, D.-K., & Yau, J. Y.-K. (2019). Utilising learning analytics for study success: Reflections on current empirical findings. In Utilizing learning analytics to support study success (pp. 27–36). Springer.

Ishaq, M., & Alvi, A. (2023). The role of personalized gamification in enhancing student motivation and engagement in programming education: A systematic review. Education and Information Technologies, 28(5), 5123–5147.

Khairo, A., & Hairani, L. (2024). Pemanfaatan e-learning dan flipped classroom untuk meningkatkan motivasi belajar siswa. Jurnal Inovasi Pendidikan, 14(1), 55–68.

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.

Marwiyah, S., Sofwan, A., & Hayati, L. (2023). Motivasi guru penggerak dalam merancang perangkat pembelajaran berbasis teknologi informasi dan komunikasi. Jurnal Pendidikan Guru, 8(2), 200–212.

Meivawati, E., Khatimah, H., & Shilla, R. A. (2025). Perceptions, Attitudes, and AI Adoption Readiness: A Study of Madrasah Ibtidaiyah Teachers in Polewali Mandar, Indonesia. Indonesian Journal of Educational Science (IJES), 7(2), 274-287.

Müller, J. M., Buliga, O., & Voigt, K.-I. (2021). The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models-A comparison between SMEs and large enterprises. European Management Journal, 39(3), 333–343.

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.

Nikolopoulou, K., Gialamas, V., & Lavidas, K. (2021). Habit, hedonic motivation, performance expectancy and technological pedagogical knowledge affect teachers’ intention to use mobile internet. Computers and Education Open, 2, 100041.

Putra, A. Y., & Santosa, A. (2022). Motivation in adopting educational technology: Its effect on student creativity and learning performance. Journal of Educational Research and Evaluation, 11(2), 234–245.

Rahman, A., & Pratiwi, I. (2020). The role of digital literacy and technology motivation on students’ creativity in higher education. Journal of Educational Technology, 4(3), 101–110.

Rahmana Sari, N. (2023). Penerapan teknologi digital dalam pembelajaran multimedia untuk meningkatkan motivasi dan kreativitas siswa SMA. Jurnal Pendidikan Teknologi, 6(3), 145–156.

Sari, D. K., Wibowo, A., & Rahayu, E. (2023). Measuring creativity in higher education: Development and validation of a new scale. Thinking Skills and Creativity, 49.

Stumbrienė, D., Jevsikova, T., & Kontvainė, V. (2024). Key factors influencing teachers’ motivation to transfer technology-enabled educational innovation. Education and Information Technologies, 29(2), 1697–1731.

Sutopo, A. H. (2024). HORISON DIGITAL: Mengubah Keterlibatan Mahasiswa di Kampus Global. Topazart.

Tonhão, J., Pereira, A., & Souza, R. (2024). Gamification in software engineering education: Effects on motivation, engagement, and learning outcomes. Computer Applications in Engineering Education, 32(2), 678–690.

Vuorikari, R., Kluzer, S., Punie, Y., & others. (2022). DigComp 2.2: The Digital Competence Framework for Citizens-With new examples of knowledge, skills and attitudes.

Wang, C. (2023). Research on the Artistic Derivation and Inheritance of Dunhuang’s Intangible Cultural Heritage Under the Influence of IP. In M. F. B. S. M. Dom, P. T. Zabielskis, X. Liu, & X. Liu (Eds.), Proceedings of the 2nd International Conference on Culture, Design and Social Development (CDSD 2022) (pp. 52–60). Atlantis Press SARL. https://doi.org/10.2991/978-2-38476-018-3_6

Widodo, S., & Slamet, S. (2021). Exploring the effect of motivation and digital literacy on students’ creative thinking. International Journal of Instruction, 14(4), 333–348.

Xu, S., Chen, P., & Zhang, G. (2024). Exploring Chinese University Educators’ Acceptance and Intention to Use AI Tools: An Application of the UTAUT2 Model. Sage Open, 14(4), 21582440241290013. https://doi.org/10.1177/21582440241290013

Yeh, Y. C., Chang, S. C., & Hsu, Y. S. (2022). Self-efficacy, creativity, and engagement in project-based learning. Educational Technology Research and Development, 70(2), 611–629. https://doi.org/10.1007/s11423-022-10090-7

Yildiz, Y., & Yildiz, E. (2019). The impact of creativity, emotional intelligence, and self-directed learning on student retention in higher education. International Journal of Educational Management, 34(3), 453–467. https://doi.org/10.1108/IJEM-12-2019-0421

Zacharis, G., & Nikolopoulou, K. (2022). Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: An UTAUT2 approach with ‘Learning Value.’ Education and Information Technologies, 27(9), 12065–12082.