Artificial intelligence, creativity and education: finding a new perspective
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https://doi.org/10.24368/jates353
Abstract
This review study aims to clarify the relationship between creativity development and artificial intelligence in education. Although this is a media-emphasised topic and individual technology projects (ChatGPT, Dalee-2, Midjourney) are part of educational activities, a more comprehensive analysis of the specific emphasis on creativity still needs to be provided. The study's novelty lies in synthesising current knowledge and forming recommendations about the relationship between creativity and AI in education. The study analyses 16 documents from the Web of Science database and, based on these, identifies six broad categories for critical reflection on the phenomenon of educational practice: the need to rethink the educational environment, goals and objectives, the emphasis on AI literacy, the focus on topics related to the future and its problems, the importance of developing theoretical conceptualisation of problems and abstract models in the curriculum, the connection with computational thinking, and the integration into the whole curriculum instead of isolated courses.
References
Aho, A. V. (2012). Computation and computational thinking. The computer journal, 55(7), 832-835.
Alberts, L. (2022). Not Cheating on the Turing Test: Towards Grounded Language Learning in Artificial Intelligence. arXiv preprint arXiv:2206.14672.
Ali, S., Payne, B. H., Williams, R., Park, H. W., & Breazeal, C. (2019, June). Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education. In International workshop on education in artificial intelligence k-12 (eduai’19) (Vol. 2, pp. 1-4).
Bao, J., & Xie, Q. (2022). Artificial intelligence in animal farming: A systematic literature review. Journal of Cleaner Production, 331, 129956.
Beck, J., Stern, M., & Haugsjaa, E. (1996). Applications of AI in Education. XRDS: Crossroads, The ACM Magazine for Students, 3(1), 11-15.
Becker, B. A., Denny, P., Finnie-Ansley, J., Luxton-Reilly, A., Prather, J., & Santos, E. A. (2023, March). Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (pp. 500-506).
Bini, S. A. (2018). Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care? The Journal of Arthroplasty, 33(8), 2358-2361. https://doi.org/10.1016/j.arth.2018.02.067
Borji, A. (2022). Generated faces in the wild: Quantitative comparison of stable diffusion, midjourney and dall-e 2. arXiv preprint arXiv:2210.00586.
Burkholder, C. (2022). Teaching Geography Education in the Anthropocene: focusing on settler Colonialism, slow Violence, and solidarity Building in New Brunswick through dIY Art Production. Teaching in the Anthropocene: Education in the Face of Environmental Crisis, 256.
Byrne, U. (2023). A Parochial Comment on Midjourney. International Journal of Architectural Computing, 14780771231170271.
Cambridge Dictionary. (2023). https://dictionary.cambridge.org/dictionary/english/creativity
Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education, 10(1), 29.
Creely, E. (2023). Conceiving creativity and learning in a world of artificial intelligence: A thinking model. In Creative provocations: Speculations on the future of creativity, technology & learning (pp. 35-50). Cham: Springer International Publishing.
Černý, M. (2022). Proměna filozofie edukace v infosférické době [Disertační práce, Masarykova univerzita]. Institucionální repozitář MU. https://is.muni.cz/th/iuy5y/
Danziger, S. (2022). Intelligence as a social concept: a socio-technological interpretation of the turing test. Philosophy & Technology, 35(3), 68.
Davidson, J., Jones, C., Johnson, M., Yildiz, D., & Prahalad, V. (2023). Renewing the purpose of geography education: Eco‐anxiety, powerful knowledge, and pathways for transformation. Geographical Research.
Davis, A. E. (2020). The Future of Law Firms (and Lawyers) in the Age of Artificial Intelligence. Revista Direito GV, 16(1), e1945. https://doi.org/10.1590/2317-6172201945
DeNero, J., & Klein, D. (2010, July). Teaching introductory artificial intelligence with pac-man. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 24, No. 3, pp. 1885-1889).
Deng, J., & Lin, Y. (2022). The benefits and challenges of ChatGPT: An overview. Frontiers in Computing and Intelligent Systems, 2(2), 81-83.
Dobrev, D. (2012). A definition of artificial intelligence. arXiv preprint arXiv:1210.1568.
Dwivedi, U., Gandhi, J., Parikh, R., Coenraad, M., Bonsignore, E., & Kacorri, H. (2021). Exploring Machine Teaching with Children. 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 1–11. https://doi.org/10.1109/VL/HCC51201.2021.9576171
Eaton, E., Koenig, S., Schulz, C., Maurelli, F., Lee, J., Eckroth, J., ... & Williams, T. (2018). Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program. AI Matters, 3(4), 23-31.
Elkins, K., & Chun, J. (2020). Can GPT-3 pass a writer’s Turing test?. Journal of Cultural Analytics, 5(2).
Eriksson, T., Bigi, A., & Bonera, M. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The TQM Journal, 32(4), 795-814.
Feyerabend, K. P. (1984) Science as Art. Laterza.
Floridi, L. (2014). The fourth revolution: How the infosphere is reshaping human reality. OUP Oxford.
Floridi, L. (2019). The logic of information: A theory of philosophy as conceptual design. Oxford University Press.
García, J. D. R., León, J. M., González, M. R., & Robles, G. (2019, November). Developing computational thinking at school with machine learning: an exploration. In 2019 International Symposium on Computers in Education (SIIE) (pp. 1-6). IEEE.
Gloor, P., Fronzetti Colladon, A., & Grippa, F. (2022). Measuring ethical behavior with AI and natural language processing to assess business success. Scientific Reports, 12(1), 10228. https://doi.org/10.1038/s41598-022-14101-4
González-Pérez, L. I., & Ramírez-Montoya, M. S. (2022). Components of Education 4.0 in 21st century skills frameworks: systematic review. Sustainability, 14(3), 1493.
Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational researcher, 42(1), 38-43.
Haase, J., & Hanel, P. H. (2023). Artificial muses: Generative artificial intelligence chatbots have risen to human-level creativity. arXiv preprint arXiv:2303.12003.
Helm, J. M., Swiergosz, A. M., Haeberle, H. S., Karnuta, J. M., Schaffer, J. L., Krebs, V. E., ... & Ramkumar, P. N. (2020). Machine learning and artificial intelligence: definitions, applications, and future directions. Current reviews in musculoskeletal medicine, 13, 69-76.
Henze, J., Schatz, C., Malik, S., & Bresges, A. (2022). How Might We Raise Interest in Robotics, Coding, Artificial Intelligence, STEAM and Sustainable Development in University and On-the-Job Teacher Training? Frontiers in Education, 7, 872637. https://doi.org/10.3389/feduc.2022.872637
Hu, R., Rizwan, A., Hu, Z., Li, T., Chung, A. D., & Kwan, B. Y. (2023). An artificial intelligence training workshop for diagnostic radiology residents. Radiology: Artificial Intelligence, 5(2), e220170.
Hutson, J., & Cotroneo, P. (2023). Generative AI tools in art education: Exploring prompt engineering and iterative processes for enhanced creativity. Metaverse, 4(1).
Chang, C. H., & Kidman, G. (2023). The rise of generative artificial intelligence (AI) language models-challenges and opportunities for geographical and environmental education. International Research in Geographical and Environmental Education, 32(2), 85-89.
Chun, H. (2021). A Study on the Impact of 3D Printing and Artificial Intelligence on Education and Learning Process. Scientific Programming, 2021, 1–5. https://doi.org/10.1155/2021/2247346
Iskender, A. (2023). Holy or Unholy? Interview with Open AI’s ChatGPT. European Journal of Tourism Research, 34, 3414. https://doi.org/10.54055/ejtr.v34i.3169
Israel-Fishelson, R., & Hershkovitz, A. (2022). Studying interrelations of computational thinking and creativity: A scoping review (2011–2020). Computers & Education, 176, 104353.
Jia, N., Luo, X., Fang, Z., & Liao, C. (2023). When and how artificial intelligence augments employee creativity. Academy of Management Journal, (ja).
Jia, Z., & Yang, Y. (2022). Research on Promoting Visual Communication of Local Folk Culture by Using Digital Technology. Scientific Programming, 2022, 1–12. https://doi.org/10.1155/2022/8058390
Kampylis, P. G., & Valtanen, J. (2010). Redefining creativity—analyzing definitions, collocations, and consequences. The Journal of Creative Behavior, 44(3), 191-214.
Kang, Y., Zhang, Q., & Roth, R. (2023). The ethics of AI-Generated maps: A study of DALLE 2 and implications for cartography. arXiv preprint arXiv:2304.10743.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
Kim, G. (2023). Geography education professionals’ understanding of global citizenship: Insights for a more just geography curriculum. Theory & Research in Social Education, 1-26.
Kim, J., & Lee, S.-S. (2023). Are Two Heads Better Than One?: The Effect of Student-AI Collaboration on Students’ Learning Task Performance. TechTrends, 67(2), 365–375. https://doi.org/10.1007/s11528-022-00788-9
Koestler, A. (1981). The three domains of creativity. In The concept of creativity in science and art (pp. 1-17). Dordrecht: Springer Netherlands.
Koestler, A. (2014). The act of creation. Last Century Media.
Lesia Viktorivna, K., Andrii Oleksandrovych, V., Iryna Oleksandrivna, K., & Nadia Oleksandrivna, K. (2022). Artificial Intelligence in Language Learning: What Are We Afraid of. Arab World English Journal, 8, 262–273. https://doi.org/10.24093/awej/call8.18
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410.
Marrone, R., Taddeo, V., & Hill, G. (2022). Creativity and Artificial Intelligence—A Student Perspective. Journal of Intelligence, 10(3), 65. https://doi.org/10.3390/jintelligence10030065
Mazzone, M., & Elgammal, A. (2019, February). Art, creativity, and the potential of artificial intelligence. In Arts (Vol. 8, No. 1, p. 26). MDPI.
McGovern, A., Tidwel, Z., & Rushing, D. (2011). Teaching introductory artificial intelligence through java-based games. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 25, No. 3, pp. 1729-1736).
McNutt, A. M., Wang, C., Deline, R. A., & Drucker, S. M. (2023, April). On the design of ai-powered code assistants for notebooks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-16).
Miller, A. I. (2019). The artist in the machine: The world of AI-powered creativity. Mit Press.
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021a). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.
Noddings, N. (2018). Philosophy of education. Routledge.
Olari, V., & Romeike, R. (2021, October). Addressing ai and data literacy in teacher education: A review of existing educational frameworks. In The 16th Workshop in Primary and Secondary Computing Education (pp. 1-2).
Oliveira, K. K. D. S., & de Souza, R. A. (2022). Digital transformation towards education 4.0. Informatics in Education, 21(2), 283-309.
Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27(6), 7893-7925.
Palouš, R. (2008). Heretická škola: o filosofii výchovy ve světověku a Patočkově pedagogice čili filipika proti upadlé škole. Oikoymenh.
Pan, Y., & Froese, F. J. (2023). An interdisciplinary review of AI and HRM: Challenges and future directions. Human Resource Management Review, 33(1), 100924.
Pelletier, K., McCormack, M., Reeves, J., Robert, J., Arbino, N., Dickson-Deane, C., ... & Stine, J. (2022). 2022 EDUCAUSE Horizon Report Teaching and Learning Edition (pp. 1-58). EDUC22.
Perchik, J. D., Smith, A. D., Elkassem, A. A., Park, J. M., Rothenberg, S. A., Tanwar, M., ... & Sotoudeh, H. (2023). Artificial intelligence literacy: developing a multi-institutional infrastructure for AI education. Academic radiology, 30(7), 1472-1480.
Riekki, J., & Mammela, A. (2021). Research and Education Towards Smart and Sustainable World. IEEE Access, 9, 53156–53177. https://doi.org/10.1109/ACCESS.2021.3069902
Ritchie, G. (2009). Can Computers Create Humor? AI Magazine, 30(3), 71–81. https://doi.org/10.1609/aimag.v30i3.2251
Rodés Paragarino, V., & Gewerc, A. (2022). Educational innovation, open educational resources, and gender in latin american universities. Education Sciences, 13(1), 19.
Rong, Q., Lian, Q., & Tang, T. (2022). Research on the Influence of AI and VR Technology for Students’ Concentration and Creativity. Frontiers in Psychology, 13, 767689. https://doi.org/10.3389/fpsyg.2022.767689
Sadler-Smith, E. (2015). Wallas’ four-stage model of the creative process: More than meets the eye?. Creativity Research Journal, 27(4), 342-352.
Setiawani, S., Fatahillah, A., Oktavianingtyas, E., & Wardani, D. Y. (2019, March). The students’ creative thinking process in solving mathematics problem based on wallas’ stages. In IOP Conference Series: Earth and Environmental Science (Vol. 243, No. 1, p. 012052). IOP Publishing.
Shafique, R., Aljedaani, W., Rustam, F., Lee, E., Mehmood, A., & Choi, G. S. (2023). Role of Artificial Intelligence in Online Education: A Systematic Mapping Study. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2023.3278590
Shahriar, S., & Hayawi, K. (2023). Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations. arXiv preprint arXiv:2302.13817.
Shidiq, M. (2023, May). The use of artificial intelligence-based chat-gpt and its challenges for the world of education; from the viewpoint of the development of creative writing skills. In Proceeding of International Conference on Education, Society and Humanity (Vol. 1, No. 1, pp. 353-357).
Southworth, J., Migliaccio, K., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127.
Tang, T., Li, P., & Tang, Q. (2022). New Strategies and Practices of Design Education Under the Background of Artificial Intelligence Technology: Online Animation Design Studio. Frontiers in Psychology, 13, 767295. https://doi.org/10.3389/fpsyg.2022.767295
Tedre, M. (2022, October). Computational Thinking 2.0. In Proceedings of the 17th Workshop in Primary and Secondary Computing Education (pp. 1-2).
Treve, M. (2021). What COVID-19 has introduced into education: Challenges Facing Higher Education Institutions (HEIs). Higher Education Pedagogies, 6(1), 212–227. https://doi.org/10.1080/23752696.2021.1951616
Walia, C. (2019). A dynamic definition of creativity. Creativity Research Journal, 31(3), 237-247.
Wong, G. K., Ma, X., Dillenbourg, P., & Huan, J. (2020). Broadening artificial intelligence education in K-12: where to start?. ACM Inroads, 11(1), 20-29.
Zarifhonarvar, A. (2023). Economics of chatgpt: A labor market view on the occupational impact of artificial intelligence. Available at SSRN 4350925.
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 1-18.
Zhang, C., Khan, I., Dagar, V., Saeed, A., & Zafar, M. W. (2022). Environmental impact of information and communication technology: Unveiling the role of education in developing countries. Technological Forecasting and Social Change, 178, 121570.
Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2022). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 1-35.
Zheng, L., Dong, Y., Chen, J., Li, Y., Li, W., & Su, M. (2022). Impact of Crisis on Sustainable Business Model Innovation—The Role of Technology Innovation. Sustainability, 14(18), 11596.
Alberts, L. (2022). Not Cheating on the Turing Test: Towards Grounded Language Learning in Artificial Intelligence. arXiv preprint arXiv:2206.14672.
Ali, S., Payne, B. H., Williams, R., Park, H. W., & Breazeal, C. (2019, June). Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education. In International workshop on education in artificial intelligence k-12 (eduai’19) (Vol. 2, pp. 1-4).
Bao, J., & Xie, Q. (2022). Artificial intelligence in animal farming: A systematic literature review. Journal of Cleaner Production, 331, 129956.
Beck, J., Stern, M., & Haugsjaa, E. (1996). Applications of AI in Education. XRDS: Crossroads, The ACM Magazine for Students, 3(1), 11-15.
Becker, B. A., Denny, P., Finnie-Ansley, J., Luxton-Reilly, A., Prather, J., & Santos, E. A. (2023, March). Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (pp. 500-506).
Bini, S. A. (2018). Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care? The Journal of Arthroplasty, 33(8), 2358-2361. https://doi.org/10.1016/j.arth.2018.02.067
Borji, A. (2022). Generated faces in the wild: Quantitative comparison of stable diffusion, midjourney and dall-e 2. arXiv preprint arXiv:2210.00586.
Burkholder, C. (2022). Teaching Geography Education in the Anthropocene: focusing on settler Colonialism, slow Violence, and solidarity Building in New Brunswick through dIY Art Production. Teaching in the Anthropocene: Education in the Face of Environmental Crisis, 256.
Byrne, U. (2023). A Parochial Comment on Midjourney. International Journal of Architectural Computing, 14780771231170271.
Cambridge Dictionary. (2023). https://dictionary.cambridge.org/dictionary/english/creativity
Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education, 10(1), 29.
Creely, E. (2023). Conceiving creativity and learning in a world of artificial intelligence: A thinking model. In Creative provocations: Speculations on the future of creativity, technology & learning (pp. 35-50). Cham: Springer International Publishing.
Černý, M. (2022). Proměna filozofie edukace v infosférické době [Disertační práce, Masarykova univerzita]. Institucionální repozitář MU. https://is.muni.cz/th/iuy5y/
Danziger, S. (2022). Intelligence as a social concept: a socio-technological interpretation of the turing test. Philosophy & Technology, 35(3), 68.
Davidson, J., Jones, C., Johnson, M., Yildiz, D., & Prahalad, V. (2023). Renewing the purpose of geography education: Eco‐anxiety, powerful knowledge, and pathways for transformation. Geographical Research.
Davis, A. E. (2020). The Future of Law Firms (and Lawyers) in the Age of Artificial Intelligence. Revista Direito GV, 16(1), e1945. https://doi.org/10.1590/2317-6172201945
DeNero, J., & Klein, D. (2010, July). Teaching introductory artificial intelligence with pac-man. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 24, No. 3, pp. 1885-1889).
Deng, J., & Lin, Y. (2022). The benefits and challenges of ChatGPT: An overview. Frontiers in Computing and Intelligent Systems, 2(2), 81-83.
Dobrev, D. (2012). A definition of artificial intelligence. arXiv preprint arXiv:1210.1568.
Dwivedi, U., Gandhi, J., Parikh, R., Coenraad, M., Bonsignore, E., & Kacorri, H. (2021). Exploring Machine Teaching with Children. 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 1–11. https://doi.org/10.1109/VL/HCC51201.2021.9576171
Eaton, E., Koenig, S., Schulz, C., Maurelli, F., Lee, J., Eckroth, J., ... & Williams, T. (2018). Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program. AI Matters, 3(4), 23-31.
Elkins, K., & Chun, J. (2020). Can GPT-3 pass a writer’s Turing test?. Journal of Cultural Analytics, 5(2).
Eriksson, T., Bigi, A., & Bonera, M. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The TQM Journal, 32(4), 795-814.
Feyerabend, K. P. (1984) Science as Art. Laterza.
Floridi, L. (2014). The fourth revolution: How the infosphere is reshaping human reality. OUP Oxford.
Floridi, L. (2019). The logic of information: A theory of philosophy as conceptual design. Oxford University Press.
García, J. D. R., León, J. M., González, M. R., & Robles, G. (2019, November). Developing computational thinking at school with machine learning: an exploration. In 2019 International Symposium on Computers in Education (SIIE) (pp. 1-6). IEEE.
Gloor, P., Fronzetti Colladon, A., & Grippa, F. (2022). Measuring ethical behavior with AI and natural language processing to assess business success. Scientific Reports, 12(1), 10228. https://doi.org/10.1038/s41598-022-14101-4
González-Pérez, L. I., & Ramírez-Montoya, M. S. (2022). Components of Education 4.0 in 21st century skills frameworks: systematic review. Sustainability, 14(3), 1493.
Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational researcher, 42(1), 38-43.
Haase, J., & Hanel, P. H. (2023). Artificial muses: Generative artificial intelligence chatbots have risen to human-level creativity. arXiv preprint arXiv:2303.12003.
Helm, J. M., Swiergosz, A. M., Haeberle, H. S., Karnuta, J. M., Schaffer, J. L., Krebs, V. E., ... & Ramkumar, P. N. (2020). Machine learning and artificial intelligence: definitions, applications, and future directions. Current reviews in musculoskeletal medicine, 13, 69-76.
Henze, J., Schatz, C., Malik, S., & Bresges, A. (2022). How Might We Raise Interest in Robotics, Coding, Artificial Intelligence, STEAM and Sustainable Development in University and On-the-Job Teacher Training? Frontiers in Education, 7, 872637. https://doi.org/10.3389/feduc.2022.872637
Hu, R., Rizwan, A., Hu, Z., Li, T., Chung, A. D., & Kwan, B. Y. (2023). An artificial intelligence training workshop for diagnostic radiology residents. Radiology: Artificial Intelligence, 5(2), e220170.
Hutson, J., & Cotroneo, P. (2023). Generative AI tools in art education: Exploring prompt engineering and iterative processes for enhanced creativity. Metaverse, 4(1).
Chang, C. H., & Kidman, G. (2023). The rise of generative artificial intelligence (AI) language models-challenges and opportunities for geographical and environmental education. International Research in Geographical and Environmental Education, 32(2), 85-89.
Chun, H. (2021). A Study on the Impact of 3D Printing and Artificial Intelligence on Education and Learning Process. Scientific Programming, 2021, 1–5. https://doi.org/10.1155/2021/2247346
Iskender, A. (2023). Holy or Unholy? Interview with Open AI’s ChatGPT. European Journal of Tourism Research, 34, 3414. https://doi.org/10.54055/ejtr.v34i.3169
Israel-Fishelson, R., & Hershkovitz, A. (2022). Studying interrelations of computational thinking and creativity: A scoping review (2011–2020). Computers & Education, 176, 104353.
Jia, N., Luo, X., Fang, Z., & Liao, C. (2023). When and how artificial intelligence augments employee creativity. Academy of Management Journal, (ja).
Jia, Z., & Yang, Y. (2022). Research on Promoting Visual Communication of Local Folk Culture by Using Digital Technology. Scientific Programming, 2022, 1–12. https://doi.org/10.1155/2022/8058390
Kampylis, P. G., & Valtanen, J. (2010). Redefining creativity—analyzing definitions, collocations, and consequences. The Journal of Creative Behavior, 44(3), 191-214.
Kang, Y., Zhang, Q., & Roth, R. (2023). The ethics of AI-Generated maps: A study of DALLE 2 and implications for cartography. arXiv preprint arXiv:2304.10743.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
Kim, G. (2023). Geography education professionals’ understanding of global citizenship: Insights for a more just geography curriculum. Theory & Research in Social Education, 1-26.
Kim, J., & Lee, S.-S. (2023). Are Two Heads Better Than One?: The Effect of Student-AI Collaboration on Students’ Learning Task Performance. TechTrends, 67(2), 365–375. https://doi.org/10.1007/s11528-022-00788-9
Koestler, A. (1981). The three domains of creativity. In The concept of creativity in science and art (pp. 1-17). Dordrecht: Springer Netherlands.
Koestler, A. (2014). The act of creation. Last Century Media.
Lesia Viktorivna, K., Andrii Oleksandrovych, V., Iryna Oleksandrivna, K., & Nadia Oleksandrivna, K. (2022). Artificial Intelligence in Language Learning: What Are We Afraid of. Arab World English Journal, 8, 262–273. https://doi.org/10.24093/awej/call8.18
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410.
Marrone, R., Taddeo, V., & Hill, G. (2022). Creativity and Artificial Intelligence—A Student Perspective. Journal of Intelligence, 10(3), 65. https://doi.org/10.3390/jintelligence10030065
Mazzone, M., & Elgammal, A. (2019, February). Art, creativity, and the potential of artificial intelligence. In Arts (Vol. 8, No. 1, p. 26). MDPI.
McGovern, A., Tidwel, Z., & Rushing, D. (2011). Teaching introductory artificial intelligence through java-based games. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 25, No. 3, pp. 1729-1736).
McNutt, A. M., Wang, C., Deline, R. A., & Drucker, S. M. (2023, April). On the design of ai-powered code assistants for notebooks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-16).
Miller, A. I. (2019). The artist in the machine: The world of AI-powered creativity. Mit Press.
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021a). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.
Noddings, N. (2018). Philosophy of education. Routledge.
Olari, V., & Romeike, R. (2021, October). Addressing ai and data literacy in teacher education: A review of existing educational frameworks. In The 16th Workshop in Primary and Secondary Computing Education (pp. 1-2).
Oliveira, K. K. D. S., & de Souza, R. A. (2022). Digital transformation towards education 4.0. Informatics in Education, 21(2), 283-309.
Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27(6), 7893-7925.
Palouš, R. (2008). Heretická škola: o filosofii výchovy ve světověku a Patočkově pedagogice čili filipika proti upadlé škole. Oikoymenh.
Pan, Y., & Froese, F. J. (2023). An interdisciplinary review of AI and HRM: Challenges and future directions. Human Resource Management Review, 33(1), 100924.
Pelletier, K., McCormack, M., Reeves, J., Robert, J., Arbino, N., Dickson-Deane, C., ... & Stine, J. (2022). 2022 EDUCAUSE Horizon Report Teaching and Learning Edition (pp. 1-58). EDUC22.
Perchik, J. D., Smith, A. D., Elkassem, A. A., Park, J. M., Rothenberg, S. A., Tanwar, M., ... & Sotoudeh, H. (2023). Artificial intelligence literacy: developing a multi-institutional infrastructure for AI education. Academic radiology, 30(7), 1472-1480.
Riekki, J., & Mammela, A. (2021). Research and Education Towards Smart and Sustainable World. IEEE Access, 9, 53156–53177. https://doi.org/10.1109/ACCESS.2021.3069902
Ritchie, G. (2009). Can Computers Create Humor? AI Magazine, 30(3), 71–81. https://doi.org/10.1609/aimag.v30i3.2251
Rodés Paragarino, V., & Gewerc, A. (2022). Educational innovation, open educational resources, and gender in latin american universities. Education Sciences, 13(1), 19.
Rong, Q., Lian, Q., & Tang, T. (2022). Research on the Influence of AI and VR Technology for Students’ Concentration and Creativity. Frontiers in Psychology, 13, 767689. https://doi.org/10.3389/fpsyg.2022.767689
Sadler-Smith, E. (2015). Wallas’ four-stage model of the creative process: More than meets the eye?. Creativity Research Journal, 27(4), 342-352.
Setiawani, S., Fatahillah, A., Oktavianingtyas, E., & Wardani, D. Y. (2019, March). The students’ creative thinking process in solving mathematics problem based on wallas’ stages. In IOP Conference Series: Earth and Environmental Science (Vol. 243, No. 1, p. 012052). IOP Publishing.
Shafique, R., Aljedaani, W., Rustam, F., Lee, E., Mehmood, A., & Choi, G. S. (2023). Role of Artificial Intelligence in Online Education: A Systematic Mapping Study. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2023.3278590
Shahriar, S., & Hayawi, K. (2023). Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations. arXiv preprint arXiv:2302.13817.
Shidiq, M. (2023, May). The use of artificial intelligence-based chat-gpt and its challenges for the world of education; from the viewpoint of the development of creative writing skills. In Proceeding of International Conference on Education, Society and Humanity (Vol. 1, No. 1, pp. 353-357).
Southworth, J., Migliaccio, K., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127.
Tang, T., Li, P., & Tang, Q. (2022). New Strategies and Practices of Design Education Under the Background of Artificial Intelligence Technology: Online Animation Design Studio. Frontiers in Psychology, 13, 767295. https://doi.org/10.3389/fpsyg.2022.767295
Tedre, M. (2022, October). Computational Thinking 2.0. In Proceedings of the 17th Workshop in Primary and Secondary Computing Education (pp. 1-2).
Treve, M. (2021). What COVID-19 has introduced into education: Challenges Facing Higher Education Institutions (HEIs). Higher Education Pedagogies, 6(1), 212–227. https://doi.org/10.1080/23752696.2021.1951616
Walia, C. (2019). A dynamic definition of creativity. Creativity Research Journal, 31(3), 237-247.
Wong, G. K., Ma, X., Dillenbourg, P., & Huan, J. (2020). Broadening artificial intelligence education in K-12: where to start?. ACM Inroads, 11(1), 20-29.
Zarifhonarvar, A. (2023). Economics of chatgpt: A labor market view on the occupational impact of artificial intelligence. Available at SSRN 4350925.
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 1-18.
Zhang, C., Khan, I., Dagar, V., Saeed, A., & Zafar, M. W. (2022). Environmental impact of information and communication technology: Unveiling the role of education in developing countries. Technological Forecasting and Social Change, 178, 121570.
Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2022). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 1-35.
Zheng, L., Dong, Y., Chen, J., Li, Y., Li, W., & Su, M. (2022). Impact of Crisis on Sustainable Business Model Innovation—The Role of Technology Innovation. Sustainability, 14(18), 11596.
Published
2023-10-05
How to Cite
Černý, M. (2023). Artificial intelligence, creativity and education: finding a new perspective. Journal of Applied Technical and Educational Sciences, 13(3), ArtNo: 353. https://doi.org/10.24368/jates353
Section
Cikkek és Tanulmányok
Copyright (c) 2023 Journal of Applied Technical and Educational Sciences
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