Abbaspour, F., & Hoseingholizadeh, R., & (2025). Professional learning capacities of elementry school teachers: From individual development to networked learning. Journal of Studies in Learning & Instruction, 16(2), 115-138. https://doi.org/10.22099/jsli.2025.7901 [In Persian]
Afthanorhan, A., Ghazali, P. L., & Rashid, N. (2021). Discriminant validity: A comparison of CBSEM and consistent PLS using Fornell & Larcker and HTMT approaches. In Journal of Physics: Conference Series (Vol. 1874, No. 1, p. 012085). IOP Publishing. https://doi.org/10.1088/1742-6596/1874/1/012085
Akin, A., Alkan, S., & Sezgin, H. S. (2024, September). Exploring the potential of artificial intelligence in supporting problem-solving and problem posing skills: Insights from an extensive review. In International Congress on 3D Printing (Additive Manufacturing) Technologies and Digital Industry (pp. 599-610). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-84873-5_45
Arkan, B., Dallı, Ö. E., & Varol, B. (2025). The impact of ChatGPT training in the nursing process on nursing students' problem-solving skills, attitudes towards artificial intelligence, competency, and satisfaction levels: Single-blind randomized controlled study. Nurse Education Today, Article 106765. https://doi.org/10.1016/j.nedt.2025.106765
Bakker, A., & Demerouti, E. (2013). Job demands-resources model. Revista de Psicologia del Trabajo y de las Organizaciones, 29(3), 107-115. https://doi.org/10.5093/tr2013a16
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47.
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., et al. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41, 745-783. https://doi.org/10.1007/s10490-023-09871-y
Daher, A. I., & David, S. A. (2025). The impact of middle leaders empowering teachers towards visible learning: A study among teachers and leaders at a selected private school in Dubai. Int. J. Ped. Inn, 10(1). https://doi.org/10.12785/ijpi/100102
Dehghani, M. , Salehi, S. , Azimi Yancheshmeh, E. , Javadipour, M. , Salehi, K., & Narenji Sani, F. (2025). The Exploration of Factors Related to Teachers’ Digital Competency and Teaching Quality. Journal of Studies in Learning & Instruction, 17(1), 17-36. https://doi.org/10.22099/jsli.2025.8119 [In Persian]
Duy, D. N. (2025). The impact of artificial intelligence tools on problem-solving skills. In S. S. Gopalkrishnan & J. J. Gonzalez III (Eds.), The World remade by artificial intelligence: Perspectives on applications, impacts and ethics (Advances in public planning). McFarland
Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226. https://doi.org/10.1037/0003-066X.56.3.218
Hair, J., & Alamer, A. (2022). Partial least squares structural equation modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), Article 100027. https://doi.org/10.1016/j.rmal.2022.100027
Han, X., Chen, F., Wang, H., & Xu, S. (2025). Unlocking innovation: Artificial intelligence usage and innovative behavior in the workplace. Social Behavior and Personality: An International Journal, 53(3), 1-13. https://doi.org/10.2224/sbp.13851
Hong, S.-J., Kim, S.-W., & Lee, Y. (2023). The effect of design thinking–based artificial intelligence education programs on middle school students’ creative problem-solving ability . Journal of the Korea Society of Computer and Information, 28(2), 227–234. https://doi.org/10.9708/jksci.2023.28.02.227
Huang, W., Xu, H., Wu, J., Ren, M., Ke, Y., & Qiao, J. (2024). Toward cleaner air and better health: Current state, challenges, and priorities. Science, 385(6707), 386-390. https://doi.org/10.1126/science.adp783
Jalali, M., & Baraei, M. (2026). Transversal competencies and student employability: An analysis of the moderating role of artificial intelligence in the modern labor market landscape. Journal of Academic Management, 4(4). https://doi.org/10.22034/jam.2026.145848.1151 [In Persian]
Jooss, S., Collings, D. G., McMackin, J., & Dickmann, M. (2024). A skills‐matching perspective on talent management: Developing strategic agility. Human Resource Management, 63(1), 141-157. https://doi.org/10.1002/hrm.22192
Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28, 563-575. http://dx.doi.org/10.1111/j.1744-6570.1975.tb01393.x
Lim, J., Lee, U., Koh, J., Jeong, Y., Lee, Y., Byun, G., Jung. H., Jang, Y., Lee, S., & Moon, J. (2025). Development and implementation of a generative artificial intelligence-enhanced simulation to enhance problem-solving skills for pre-service teachers. Computers & Education, 232, Article 105306. https://doi.org/10.1016/j.compedu.2025.105306
Polit, D. F., & Beck, C. T. (2006). The content validity index: are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489-497. https://doi.org/10.1002/nur.20147
Promma, W., Imjai, N., Usman, B., & Aujirapongpan, S. (2025). The influence of AI literacy on complex problem-solving skills through systematic thinking skills and intuition thinking skills: An empirical study in Thai gen Z accounting students. Computers and Education: Artificial Intelligence, 8, 100382. https://doi.org/10.1016/j.caeai.2025.100382
Redondo, R., Sparrow, P., & Hernández-Lechuga, G. (2021). The effect of protean careers on talent retention: examining the relationship between protean career orientation, organizational commitment, job satisfaction and intention to quit for talented workers. The International Journal of Human Resource Management, 32(9), 2046-2069. https://doi.org/10.1080/09585192.2019.1579247
Yanamala, K. K. R. (2024). Strategic implications of AI integration in workforce planning and talent forecasting. Journal of Advanced Computing Systems, 4(1), 1-9. https://doi.org/10.69987/JACS.2024.40101
Yin, M., Jiang, S., & Niu, X. (2024). Can AI really help? The double-edged sword effect of AI assistant on employees’ innovation behavior. Computers in Human Behavior, 150, 107987. https://doi.org/10.1016/j.chb.2023.107987
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