Embracing artificial intelligence in the arts classroom: understanding student perceptions and emotional reactions to AI tools

References

• Adobe. (2022). Adobe “Future of Creativity” Study: 165M + Creators Joined Creator Economy Since 2020. https://news.adobe.com/news/news-details/2022/Adobe-Future-of-Creativity-Study-165M-Creators-Joined-Creator-Economy-Since-2020/
   Google Scholar
• Ahn, B., & Harley, J. (2020). Facial expressions when learning with a Queer History App: Application of the control value theory of achievement emotions. British Journal of Educational Technology, 51(5), 1563–1576. https://doi.org/10.1111/bjet.12989
   Web of Science ®Google Scholar
• Alharbi, L. A. (2023). A systematic literature review on AI algorithms and techniques adopted by e-learning platforms for psychological and emotional states. International Journal of Advanced Computer Science and Applications, 14(2), 453–464. https://doi.org/10.14569/IJACSA.2023.0140254
   Web of Science ®Google Scholar
• Anderson, T., & y Dron, J. (2011). Three generations of distance education pedagogy. The International Review of Research in Open and Distributed Learning, 12(3), 80–97. https://doi.org/10.19173/irrodl.v12i3.890
   Web of Science ®Google Scholar
• Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500
   Google Scholar
• Baños, R. M., Carrillo, A., Etchemendy, E., & Botella, C. (2017). Positive technologies for understanding and promoting positive emotions. The Spanish Journal of Psychology, 20, E50. https://doi.org/10.1017/sjp.2017.42
   PubMed Web of Science ®Google Scholar
• Bear, M., Connors, B., & Paradiso, M. A. (2020). Neuroscience: exploring the brain, enhanced edition: exploring the brain. Jones & Bartlett Learning.
   Google Scholar
• Bellido García, I., et al. (2022). Neuromarketing Aplicado a la Educación. Análisis de la enseñanza presencial versus la enseñanza online [Paper presentation]. En Libro de Actas: VIII Congreso de Innovación Educativa y Docencia En Red. Valencia, 6 - 8 de julio de 2022. https://doi.org/10.4995/INRED2022.2022.15917
   Google Scholar
• Boden, M. A. (2004). The creative mind: Myths and mechanisms (2nd ed.). Routledge. https://doi.org/10.4324/9780203508527
   Google Scholar
• Boden, M. A. (2018). Artificial intelligence: A very short introduction. Oxford University Press eBooks. https://doi.org/10.1093/actrade/9780199602919.001.0001
   Google Scholar
• Breton (Ed.). (2021). Una Europa adaptada a la era digital: la comisión propone nuevas normas y medidas para favorecer la excelencia y la confianza en la inteligencia artificial. Comisión Europea. https://bit.ly/3xWJvez
   Google Scholar
• Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., … Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877–1190.
   Google Scholar
• Brown, T. A., & Moore, M. T. (2012). Confirmatory factor analysis. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 361–379). Guilford Publications.
   Google Scholar
• Castañeda Quintero, L. J., & Adell, J. (2013). Entornos personales de aprendizaje: claves para el ecosistema educativo en red (pp. 11–27). Editorial Marfil.
   Google Scholar
• Castells, M. (2009). The information age: Economy, society and culture. In the rise of the network society. Vol. II: The power of identity. (Vol. 1). End of Millennium. Blackwell.
   Google Scholar
• Castonguay, A., Farthing, P., Davies, S., Vogelsang, L., Kleib, M., Risling, T., & Green, N. (2023). Revolutionizing nursing education through Ai integration: A reflection on the disruptive impact of ChatGPT. Nurse Education Today, 129, 105916. https://doi.org/10.1016/j.nedt.2023.105916
   PubMed Web of Science ®Google Scholar
• Cave, S., Dihal, K., & Dillon, S. (Eds.). (2020). AI NARRATIVES: A history of imaginative thinking about intelligent machines. Oxford University Press. https://doi.org/10.1093/oso/9780198846666.001.0001
   Google Scholar
• Chiu, T. K. F. (2023). The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2023.2253861
   Web of Science ®Google Scholar
• Chounta, I.-A., Bardone, E., Raudsep, A., & Pedaste, M. (2022). Exploring teachers’ perceptions of artificial intelligence as a tool to support their practice in estonian K-12 education. International Journal of Artificial Intelligence in Education, 32(3), 725–755. https://doi.org/10.1007/s40593-021-00243-5
   Web of Science ®Google Scholar
• Córdova Olivera, P., Gasser Gordillo, P., Naranjo Mejía, H., La Fuente Taborga, I., Grajeda Chacón, A., & Sanjinés Unzueta, A. (2023). Academic stress as a predictor of mental health in university students. Cogent Education, 10(2), 2232686. https://doi.org/10.1080/2331186X.2023.2232686
   Web of Science ®Google Scholar
• D’Errico, F., Paciello, M., Carolis, B. D., Vattanid, A., Palestra, G., & Anzivino, G. (2018, April 1). Cognitive emotions in e-learning processes and their potential relationship with students’ academic adjustment. https://www.semanticscholar.org/paper/Cognitive-Emotions-in-E-Learning-Processes-and-with-D%E2%80%99Errico-Paciello/95b5d107264c7728fe68537796a6cedabb82ff81
   Google Scholar
• Diwan, C., Srinivasa, S., Suri, G., Agarwal, S., & Ram, P. (2023). AI-based learning content generation and learning pathway augmentation to increase learner engagement. Computers and Education: Artificial Intelligence, 4, 100110. https://doi.org/10.1016/j.caeai.2022.100110
   Google Scholar
• Downes, S. (2015). From MOOC to personal learning. FGV Online, 5(1), 69–77. http://www.downes.ca/post/64556
   Google Scholar
• Du, S., Tao, Y., & Martinez, A. M. (2014). Compound facial expressions of emotion. Proceedings of the National Academy of Sciences, 111(15), 1454–1462. https://doi.org/10.1073/pnas.1322355111
   Web of Science ®Google Scholar
• Epstein, Z., Hertzmann, A., Akten, M., Farid, H., Fjeld, J., Frank, M. R., Groh, M., Herman, L., Leach, N., Mahari, R., Pentland, A. S., Russakovsky, O., Schroeder, H., & Smith, A; Investigators of Human Creativity. (2023). Art and the science of generative AI. Science (New York, N.Y.), 380(6650), 1110–1111. https://www.science.org/doi/abs/10.1126/science.adh4451 https://doi.org/10.1126/science.adh4451
   PubMed Web of Science ®Google Scholar
• Flores-Vivar, J. M., & García-Peñalvo, F. J. (2023). Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4). Comunicar, 31(74), 37–47. https://doi.org/10.3916/C74-2023-03
   Web of Science ®Google Scholar
• Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
   Web of Science ®Google Scholar
• Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277–304. https://doi.org/10.1080/15228053.2023.2233814
   Google Scholar
• Goldberg, J. H., & Wichansky, A. M. (2003). Eye tracking in usability evaluation. The Mind’s Eye, 493–516. https://doi.org/10.1016/b978-044451020-4/50027-x
   Google Scholar
• Grájeda, A., Burgos, J., Córdova, P., & Sanjinés, A. (2024). Assessing student-perceived impact of using artificial intelligence tools: Construction of a synthetic index of application in higher education. Cogent Education, 11(1), 2287917. https://doi.org/10.1080/2331186X.2023.2287917
   Web of Science ®Google Scholar
• Hirt, F., Werlen, E., Moser, I., & Bergamin, P. (2019). Measuring emotions during learning: Lack of coherence between automated facial emotion recognition and emotional experience. Open Computer Science, 9(1), 308–317. https://doi.org/10.1515/comp-2019-0020
   Web of Science ®Google Scholar
• Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & Van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures. OUP Oxford.
   Google Scholar
• Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
   Web of Science ®Google Scholar
• Istance, D., & Kools, M. (2013). OECD work on technology and education: Innovative learning environments as an integrating integrating framework. European Journal of Education, 48(1), 43–57. https://doi.org/10.1111/ejed.12017
   Web of Science ®Google Scholar
• Jacobs, R, Western Sydney University, Australia. (2023). Affective and emotional experiences in arts-based service-learning environments. International Journal of Emotional Education, 15(1), 4–20. https://doi.org/10.56300/UANJ1022
   Web of Science ®Google Scholar
• Jeon, I. S., Jun, S. J., & Song, K. S; 한국교원대학교 컴퓨터교육과. (2020). Teacher training program and analysis of teacher’s demands to strengthen artificial intelligence education. Journal of The Korean Association of Information Education, 24(4), 279–289. https://doi.org/10.14352/jkaie.2020.24.4.279
   Google Scholar
• Juárez-Varón, D., Bellido-García, I., & Gupta, B. B. (2023). Analysis of stress, attention, interest, and engagement in onsite and online higher education: A neurotechnological study. Comunicar, 31(76), 21–34. https://doi.org/10.3916/C76-2023-02
   Web of Science ®Google Scholar
• Li, L., Gow, A. D. I., & Zhou, J. (2020). The role of positive emotions in education: A neuroscience perspective. Mind, Brain, and Education, 14(3), 220–234. https://doi.org/10.1111/mbe.12244
   Web of Science ®Google Scholar
• Lipnevich, A. A., Murano, D., Krannich, M., & Goetz, T. (2021). Should I grade or should I comment: Links among feedback, emotions, and performance. Learning and Individual Differences, 89, 102020. https://doi.org/10.1016/j.lindif.2021.102020
   Web of Science ®Google Scholar
• Li, C., & Xing, W. (2021). Natural language generation using deep learning to support MOOC learners. International Journal of Artificial Intelligence in Education, 31(2), 186–214. https://doi.org/10.1007/s40593-020-00235-x
   Web of Science ®Google Scholar
• Li, J., & Zhang, B. (2022). The application of artificial intelligence technology in art teaching taking architectural painting as an example. Computational Intelligence and Neuroscience, 2022, 8803957. https://doi.org/10.1155/2022/8803957
   PubMed Web of Science ®Google Scholar
• Mallik, S., & Gangopadhyay, A. (2023). Proactive and reactive engagement of artificial intelligence methods for education: A review. Frontiers in Artificial Intelligence, 6, 1151391. https://doi.org/10.3389/frai.2023.1151391
   PubMedGoogle Scholar
• Mayer, R. E. (2010). Learning with technology. In H. Dumont, D. Istance, F. Benavides (Eds.), The nature of learning: Using research to inspire practice. OECD Publishing.
   Google Scholar
• Mazzone, M., & Elgammal, A. (2019). Art, creativity, and the potential of artificial intelligence. Arts, 8(1), 26. https://doi.org/10.3390/arts8010026
   Web of Science ®Google Scholar
• Memarian, B., & Doleck, T. (2023). Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review. Computers and Education: Artificial Intelligence, 5, 100152. https://doi.org/10.1016/j.caeai.2023.100152
   Google Scholar
• Meyer, J., Jansen, T., Schiller, R., Liebenow, L. W., Steinbach, M., Horbach, A., & Fleckenstein, J. (2024). Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students’ text revision, motivation, and positive emotions. Computers and Education: Artificial Intelligence, 6, 100199. https://doi.org/10.1016/j.caeai.2023.100199
   Google Scholar
• Milosavljevic, P., Pavlovic, D., Rajic, M., Pavlovic, A., & Fragassa, C. (2018). Implementation of quality tools in higher education process. International Journal of Continuing Engineering Education and Life-Long Learning, 28(1), 24. https://doi.org/10.1504/IJCEELL.2018.090248
   Google Scholar
• Morris, J. E. (2018). The development of a student engagement instrument for the responding strand in visual arts. The Australian Educational Researcher, 46(3), 449–468. https://doi.org/10.1007/s13384-018-0296-5
   Web of Science ®Google Scholar
• Mou, X., Xin, Y., Song, Y., Xiang, J., & Tang, Y. (2023). An empirical study on learners’ learning emotion and learning effect in offline learning environment. PloS One, 18(11), e0294407. https://doi.org/10.1371/journal.pone.0294407
   PubMed Web of Science ®Google Scholar
• Munari, B. (2018). Fantasía. Invención, creatividad e imaginación en las comunicaciones visuales. Gustavo Gili. https://bit.ly/3LVYf3P
   Google Scholar
• Opdahl, A. L., Tessem, B., Dang-Nguyen, D. T., Motta, E., Setty, V., Throndsen, E., Tverberg, A., & Trattner, C. (2023). Trustworthy journalism through AI. Data & Knowledge Engineering, 146, 102182. https://doi.org/10.1016/j.datak.2023.102182
   Web of Science ®Google Scholar
• OpenAI. (2020). ChatGPT: Optimizing language models for dialogue. Recuperado de https://openai.com/blog/chatgpt
   Google Scholar
• Pashler, H., Johnston, J. C., & Ruthruff, E. (2001). Attention and Performance. Annual Review of Psychology, 52(1), 629–651. https://doi.org/10.1146/annurev.psych.52.1.629
   PubMed Web of Science ®Google Scholar
• Pavlik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), 84–93. https://doi.org/10.1177/10776958221149577
   Google Scholar
• Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91–105. https://doi.org/10.1207/S15326985EP3702_4
   Web of Science ®Google Scholar
• Purves, D., Augustine, G. J., Fitzpatrick, D., Hall, W., LaMantia, A. S., & White, L. (2019). Neurosciences. De Boeck Supérieur.
   Google Scholar
• Rodríguez-Abitia, G., Martínez-Pérez, S., Ramirez-Montoya, M. S., & Lopez-Caudana, E. (2020). Digital gap in universities and challenges for quality education: A diagnostic study in Mexico and Spain. Sustainability, 12(21), 9069. https://doi.org/10.3390/su12219069
   Web of Science ®Google Scholar
• Rodway, P., & Schepman, A. (2023). The impact of adopting AI educational technologies on projected course satisfaction in university students. Computers and Education: Artificial Intelligence, 5, 100150. https://doi.org/10.1016/j.caeai.2023.100150
   Google Scholar
• Rozin, P., Lowery, L., & Ebert, R. (1994). Varieties of disgust faces and the structure of disgust. Journal of Personality and Social Psychology, 66(5), 870–881. https://doi.org/10.1037/0022-3514.66.5.870
   PubMed Web of Science ®Google Scholar
• Salinas, J. (2012). La investigación ante los desafíos de los escenarios de aprendizaje futuros. https://revistas.um.es/red/article/view/233091
   Google Scholar
• Salvador, C. C., Arceo, F. D. B., Rocamora, A. E., & Ibáñez, J. S. (2023). Evidencias de aprendizaje en prácticas educativas mediadas por tecnologías digitales. RIED-Revista Iberoamericana de Educación a Distancia, 26(2), 9–25. https://doi.org/10.5944/ried.26.2.37293
   Google Scholar
• Schutte, N. S., Malouff, J. M., Simunek, M., McKenley, J., & Hollander, S. (2002). Characteristic emotional intelligence and emotional well-being. Cognition and Emotion, 16(6), 769–785. https://doi.org/10.1080/02699930143000482
   Web of Science ®Google Scholar
• Selwyn, N., Rivera-Vargas, P., Passeron, E., & Puigcercos, R. M. (2022). ¿Por qué no todo es (ni debe ser) digital? Interrogantes Para pensar sobre digitalización, datificación e inteligencia artificial en educación. https://doi.org/10.31235/osf.io/vx4zr
   Google Scholar
• Sesé, J. (2023). Nuevos retos para el diseño y la comunicación. La inteligencia artificial en los procesos creativos del diseño gráfico. [Doctoral dissertation]. Universitat Politècnica de València. https://doi.org/10.4995/thesis/10251/192876
   Google Scholar
• Shaik, M. (2023). Impact of artificial intelligence on marketing. East Asian Journal of Multidisciplinary Research, 2(3), 993–1004. https://doi.org/10.55927/eajmr.v2i3.3112
   Google Scholar
• Sharma, R., Mohan, M., & Venkat, S. (2023). Positive Emotions as a Tool to Enhance Learning. In Global higher education and the COVID-19 pandemic. Apple Academic Press eBooks (pp. 205–220). https://doi.org/10.1201/9781003328582-13
   Google Scholar
• Song, B., & Koo, A. (2022). Paradigm shift: Artificial intelligence, contemporary art, and implications for gifted arts education. Journal of Gifted Education in Arts, 8, 5–38. https://doi.org/10.22752/KRIGA.2022.08.001
   Google Scholar
• Su, J., Ng, D. T. K., & Chu, S. K. W. (2023). Artificial Intelligence (AI) literacy in early childhood education: The challenges and opportunities. Computers and Education: Artificial Intelligence, 4, 100124. https://doi.org/10.1016/j.caeai.2023.100124
   Google Scholar
• UNESCO. (2022). Recomendación sobre la ética de la inteligencia artificial. https://bit.ly/3KBvPx8
   Google Scholar
• Vicente-Yagüe-Jara, M. I., López-Martínez, O., Navarro-Navarro, V., & Cuéllar-Santiago, F. (2023). Writing, creativity, and artificial intelligence. ChatGPT in the university context. Comunicar, 31(77), 45–54. https://doi.org/10.3916/C77-2023-04
   Web of Science ®Google Scholar
• Wedel, M., & Pieters, R. (2006). Eye tracking for visual marketing. Foundations and Trends® in Marketing, 1(4), 231–320. https://doi.org/10.1561/1700000011
   Google Scholar
• Zhai, C., & Wibowo, S. (2023). A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university. Computers and Education: Artificial Intelligence, 4, 100134. https://doi.org/10.1016/j.caeai.2023.100134
   Google Scholar
• Zhang, W., Shankar, A., & Antonidoss, A. (2022). Modern art education and teaching based on artificial intelligence. Journal of Interconnection Networks, 22(Supp01), 2141005. https://doi.org/10.1142/S021926592141005X
   Web of Science ®Google Scholar
• Zhao, L., Hussam, E., Seong, J. T., Elshenawy, A., Kamal, M., & Alshawarbeh, E. (2024). Revolutionizing art education: Integrating AI and multimedia for enhanced appreciation teaching. Alexandria Engineering Journal, 93, 33–43. https://doi.org/10.1016/j.aej.2024.03.011
   Web of Science ®Google Scholar
• Zotikovna, E., Yuriievna, E., & Aleksandrovich, P. (2019). Artificial intelligence—The space for the new possibilities to train teachers. Espacios, 40, 17.
   Google Scholar