Student Creativity Through Animated Cartoon Images Using Artificial Intelligence: Does It Affect Indirect Creativity Indicators?


  • Aminah Zb Universitas Negeri Malang
  • Wasim Khan Gomal University



Animated Cartoon Images, Artificial Intelligence, Student Creativity, Indirect Creativity


This research aims to see the influence of cartoon animation media on student creativity in nutrition and food courses. This research uses quantitative descriptive methods. This research was carried out at UIN Sulthan Thaha Saifuddin Jambi, with a research population of 47 students who took nutrition and food courses in semester V. The sample in this study used a total sampling technique, namely, the entire population that was the research subject. The data collection technique uses an indirect creativity questionnaire survey on five indicators using a Likert scale with a total of 20 questions. Based on the research results, data was obtained that the use of Artificial Intelligence-based cartoon media can influence student learning creativity in nutrition and food courses with an average score of 4.46 in the good category, where in detail, each indicator, such as the Investigation Group, has an average score of 4.44 in the good category, the Pre-Knowledge Indicator with an average value of 4.13 in the Good category, then the Influence of Culture and Values ​​indicator with an average value of 4.83 in the good category, the Motivation indicator with an average value of 4.95 in the good category and the Self-Esteem indicator with an average value of 3.87 in the pretty good category. The highest creativity indicator in this research is Motivation in the good category, while the lowest in this research is the Self-Esteem creativity indicator in the quite good category.


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Akamca, G. Ö., Ellez, A. M., & Hamurcu, H. (2009). Effects of computer aided concept cartoons on learning outcomes. Procedia - Social and Behavioral Sciences, 1, 296–301.

Arikan, A., & Ulas Taraf, H. (2010). Contextualizing young learners ’ English lessons with cartoons : Focus on grammar and vocabulary. Procedia - Social and Behavioral Sciences, 2, 5212–5215.

Bahrudin, A. D., & Yogihati, C. I. (2022). Development of Interactive Learning Media as an Alternative to Improve Students ’ Conceptual Understanding and Motivation on the Temperature and Heat Topics. International Journal of Education and Teaching Zone, 1(2), 8–10.

Boulianne, S., & Theocharis, Y. (2020). Young People, Digital Media, and Engagement: A Meta-Analysis of Research. Social Science Computer Review, 38(2), 111–127.

Canonico, L. B., Mcneese, N. J., & Duncan, C. (2018). Machine Learning as Grounded Theory : Human-Centered Interfaces for Social Network Research through Artificial Intelligence. 1252–1256.

Chin, C., & Chia, L. (2004). Work in Biology through Problem-based Learning. Journal of Biological Education, 38(2), 69–75.

Commons, C., License, A., Wang, G., & Wei, N. (2023). Retracted : Motion Capture Technology of Digital Animation Art. International Transactions on Electrical Energy Systems, 2022, 1–13.

Cook, M., & Cowan, M. (2023). Useful Animation : Iconography , Infrastructure and Impact. Animation: An Interdisciplinary Journal, 18(3), 196–226.

Craft, A. (2003). The limits to creativity in education: Dilemmas for the educator. British Journal of Educational Studies, 51(2), 113–127.

Creel, S. C., & Frye, C. I. (2024). Journal of Experimental Child Minimal gains for minimal pairs : Difficulty in learning similar-sounding words continues into preschool. Journal of Experimental Child Psychology, 240, 105831.

Dereli, M. (2010). Does instruction of “ Integers ” subject with cartoons effect students ’ mathematics anxiety ? Procedia - Social and Behavioral Sciences, 2, 2176–2180.

Divanji, R. A., Bindman, S., Tung, A., Chen, K., Castaneda, L., & Scanlon, M. (2023). A one stop shop ? Perspectives on the value of adaptive learning technologies in K-12 education. Computers and Education Open, 5(August), 100157.

Eagles, P. F. J., & Demare, R. (1999). Factors influencing children’s environmental attitudes. Journal of Environmental Education, 30(4), 33–37.

El-mashad, S. Y., & Hamed, E. S. (2022). Automatic creation of a 3D cartoon from natural language story. Ain Shams Engineering Journal, 13(3), 101641.

Gökçearslan, A. (2010). The effect of cartoon movies on children's gender development. Procedia - Social and Behavioral Sciences, 2(2), 5202-5207.

Guo, S. (2018). “ Occupying ” the Internet : State media and the reinvention of official culture online. Communication and the Public, 3(I), 19–33.

Hapke, H., Lee-Post, A., & Dean, T. (2020). 3-in-1 Hybrid Learning Environment. Marketing Education Review, 00(00), 1–8.

Hayes, D. (2015). Against critical thinking pedagogy. Arts and Humanities in Higher Education, 14(4), 318–328.

Iftene, A., Iftene, A., & Trandab, D. (2018). Enhancing the of through Augmented the Attractiveness Attractiveness of Learning Learning through Augmented Reality Reality Enhancing the Attractiveness of Learning through Augmented. Procedia Computer Science, 126, 166–175.

Ilin, V. (2022). The role of user preferences in engagement with online learning. E-Learning and Digital Media, 19(2), 189–208.

Jumaat, N. F., & Tasir, Z. (2013). Integrating Project Based Learning Environment into the Design and Development of Mobile Apps for Learning. Procedia - Social and Behavioral Sciences, 103, 526–533.

Kagerbauer, M., & Magdolen, M. (2024). Workshop synthesis: Measuring attitudes and perceptions in large scale (quantitative) surveys. Transportation Research Procedia, 76(2022), 617–623.

Kong, S. (2021). Delivery and evaluation of an e-Learning framework through computer-aided analysis of learners ’ reflection text in a teacher development course. Research and Practice in Technology Enhanced Learning, 16(1), 1–22.

Kozma, R. B. (1991). Review of Educational. Review of Educational Research, 61(2), 179–211.

Kritt, D. W. (2018). Constructivist Education in an Age of Accountability (D. W. Kritt (ed.)). Palagrave macmillan.

Leak, A. E., Rothwell, S. L., Olivera, J., Zwickl, B., Vosburg, J., & Martin, K. N. (2017). Examining problem solving in physics-intensive Ph.D. research. Physical Review Physics Education Research, 13(2), 1–13.

Lijanporn, S., & Khlaisang, J. (2015). The development of an activity-based learning model using educational mobile application to enhance discipline of elementary school students. Procedia - Social and Behavioral Sciences, 174, 1707–1712.

Lovat, T. (2023). Gifted education and Islamic educational philosophy : A neat convergence. Gifted Education Internationa, 39(1), 47–60.

Madakam, S., Uchiya, T., Mark, S., & Lurie, Y. (2022). Artificial Intelligence , Machine Learning and Deep Learning ( Literature : Review and Metrics ). Asia-Pacific Journal of Management Research and Innovation, 18(1), 7–23.

Madden, S., & Alt, R. A. (2021). Know Her Name : Open Dialogue on Social Media as a Form of Innovative Justice. Social Media + Society, 1–10.

Miller, K. A., Deci, E. L., & Ryan, R. M. (1988). Intrinsic Motivation and Self-Determination in Human Behavior. Contemporary Sociology.

Mohammadi, F., & Heidari, M. (2014). The Effect of Intersemiotic Translation on Vocabulary Learning. Procedia - Social and Behavioral Sciences, 98, 1165–1173.

Mou, T. (2023). International Journal of Educational Research Open Science learning with designed animation : Investigation of primary school children ’ s attitudes toward science learning , animation integration , and understanding level. International Journal of Educational Research Open, 4(September 2022), 100246.

Newhouse, N. (1990). Implications of attitude and behavior research for environmental conservation. Journal of Environmental Education, 22(1), 26–32.

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2(April), 100020.

Patall, E. A., Vasquez, A. C., Steingut, R. R., Trimble, S. S., & Pituch, K. A. (2017). Supporting and Thwarting Autonomy in the High School Science Classroom. Cognition and Instruction, 35(4), 337–362.

Pe’er, S., Goldman, D., & Yavetz, B. (2007). Environmental literacy in teacher training: Attitudes, knowledge, and environmental behavior off beginning students. Journal of Environmental Education, 39(1), 45–59.

Schmidt, H. G. (2012). A Brief History of Problem-based Learning. In One-Day, One-Problem: An Approach to Problem-based Learning (pp. 21–40). Springer Science Business Media Singapore.

Sezen, G., & B, A. C. (2012). Designing computer assisted problem based learning environment in the subject of endocrine system in human beings for high school biology. Procedia - Social and Behavioral Sciences, 47, 303–310.

Shute, V. J., & Rahimi, S. (2021). Stealth assessment of creativity in a physics video game. Computers in Human Behavior, 116, 106647.

Skulmowski, A. (2023). Computers & Education : X Reality Shape distinctness and segmentation bene fi t learning from realistic visualizations , while dimensionality and perspective play a minor role. Computers & Education: X Reality, 2(December 2022), 100015.

Sungur, S., Tekkaya, C., & Geban, O. (2006). Improving achievement through problem-based learning. Journal of Biological Education, 40(4), 155–160.

Turan, B. (2014). Smart Board İ n Mathematics Education , The Use Of Cartoon Characters İ mpact On Student Success. Procedia - Social and Behavioral Sciences, 143, 809–815.

Vandeleur, S., Ankiewics, P. ., de Swardt, A. ., & Gross, E. . (2006). Indicators of creativity in a technology class : a case study. South African Journal OfEducation, 21(4), 268–273.

Yerushalmi, E., Cohen, E., Heller, K., Heller, P., & Henderson, C. (2010). Instructors’ reasons for choosing problem features in a calculus-based introductory physics course. Physical Review Special Topics - Physics Education Research, 6(2), 1–11.

Yoon, Y., Kyung, B., Jin, S., Oh, J., & Chae, H. (2017). Analysis of seven animation characters in Pororo the Little Penguin with Sasang typology. Integrative Medicine Research, 6(2), 156–164.

Zb, A., Novalian, D., Rozal, E., Sulman, F., & Habibi, M. (2021). STEM Approach in Online Lectures: How Does it Contribute to Cognitive Aspects? Indonesian Journal of Science and Education, 5(2), 88–97.

Zb, A., Setiawan, M. E., Rozal, E., & Sulman, F. (2021). Investigating Hybrid Learning Strategies: Does it Affect Creativity? Jurnal Kependidikan: Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan, Pengajaran Dan Pembelajaran, 7(4), 868–875.

Zhang, Y., Li, G., & Shan, G. (2022). Visual Informatics Time analysis of regional structure of large-scale particle using an interactive visual system. Visual Informatics, 6(2), 14–24.

Zhang, Y., & Zhang, Z. (2018). ‘Kexue Wenhua’ in Chinese and ‘Scientific Culture’, ‘Science Culture’, ‘Culture of Science’ and ‘Science as Culture’ in English: The Meanings and the Structure. Cultures of Science, 1(1), 25–37.

Zheng, Y., Zhang, J., Li, Y., Wu, X., Ding, R., Luo, X., Liu, P., & Huang, J. (2024). Effects of digital game-based learning on students ’ digital etiquette literacy , learning motivations , and engagement. Heliyon, 10(1), e23490.




How to Cite

Aminah Zb, & Wasim Khan. (2024). Student Creativity Through Animated Cartoon Images Using Artificial Intelligence: Does It Affect Indirect Creativity Indicators?. International Journal of Education and Teaching Zone, 3(2), 182–195.