آهنگری، فرزانه، صادقی، علیرضا، یمقانی، محمدرضا و پوشنه، کامبیز. (1403). نقش هوش مصنوعی در طراحی و توسعه برنامه درسی. اولین همایش ملی هوش مصنوعی در آموزش و یادگیری، دانشگاه علامه طباطبائی.
ابطحی، معصومه سادات، داودی شاندیز، رؤیا، مقامی، حمیدرضا و عشاروی، مهدی. (1403). بررسی تأثیر یادگیری هوش مصنوعی بر مهارت یادگیری پایدار دانشآموزان 7 الی 12 سال. اولین همایش ملی هوش مصنوعی در آموزش و یادگیری، دانشگاه علامه طباطبائی.
امیراحمدی، زینب السادات. (1403). بهبود شیوه تدریس و ارزشیابی دروس تعاملی و گفتگو محور در مدارس با استفاده از ابزارهای هوش مصنوعی. اولین همایش ملی هوش مصنوعی در آموزش و یادگیری، دانشگاه علامه طباطبائی.
بوردخانی، سمیرا. (1402). نقش استفاده از هوش مصنوعی و نرمافزارهای نوین آموزشی در خلاقیت و پیشرفت تحصیلی دانشآموزان. دومین همایش بینالمللی علوم تربیتی، مشاوره، روانشناسی و علوم اجتماعی.
پیروی نیا، فائزه و نظری زاده، فرهاد. (1403). شناسایی پیشرانهای مؤثر بر آینده مدارس هوشمند با رویکرد آیندهپژوهی. اولین همایش ملی هوش مصنوعی در آموزش و یادگیری، دانشگاه علامه طباطبائی.
حاجیزاده، سارا و شیروانی، مریم. (1403). تأثیر کاربردهای هوش مصنوعی در آموزش و ارائه پروژههای موفق. اولین همایش ملی هوش مصنوعی در آموزش و یادگیری، دانشگاه علامه طباطبائی.
مسلمی، سید علی. (1403). موضوعات، استراتژیها و نتایج یادگیری در آموزش هوش مصنوعی کلاسهای درس: یک مرور نظاممند. اولین همایش ملی هوش مصنوعی در آموزش و یادگیری، دانشگاه علامه طباطبائی.
محمدی احمدآبادی، ناصر، خاوریان، سعیده و یزدی زاده، فرزانه. (1403) نقش هوش مصنوعی در پرورش خلاقیت کودکان و بهبود یادگیری. فنآوری اطلاعات و ارتباطات در علوم تربیتی، 4(14)، 153-167.
Abtahi, M. S., Davoodi Shandiz, R., Maghami, H. R., & Ashari, M. (2024). Investigating the impact of artificial intelligence learning on sustainable learning skills of students aged 7 to 12. First National Conference on Artificial Intelligence in Education and Learning, Allameh Tabataba'i University. [In Persian]
Agüera, E. I., Sánchez-Hermosín, P., Díz-Pérez, J., Tovar, P., Camacho, R., & Escribano, B. M. (2015). Students integrate knowledge acquisition and practical work in the laboratory.
Advances in Physiology Education, 39(3), 209–213.
https://doi.org/10.1152/advan.00019.2015
Ahangari, F., Sadeghi, A., Yemghani, M. R., & Pushneh, K. (2024). The role of artificial intelligence in curriculum design and development. First National Conference on Artificial Intelligence in Education and Learning, Allameh Tabataba'i University. [In Persian]
Amirahmadi, Z. S. (2024). Improving teaching and assessment methods in interactive and dialogue-based courses in schools using artificial intelligence tools. First National Conference on Artificial Intelligence in Education and Learning, Allameh Tabataba'i University. [In Persian]
Asad, M., Iqbal, K., & Sabir, M. (2015). Effectiveness of problem based learning as a strategy to foster problem solving and critical reasoning skills among medical students. Journal of Ayub Medical College Abbottabad, 27(3), 604–607.
Barman, M., & Jena, A. K. (2021). Effect of interactive video-based instruction on learning performance in relation to social skills of children with intellectual disability.
International Journal of Developmental Disabilities, 69(5), 683–696.
https://doi.org/10.1080/20473869.2021.2004535
Beghetto, R. A., & Madison, E. (2022). Accepting the challenge: Helping schools get smarter about supporting students' creative collaboration and communication in a changing world.
Journal of Intelligence, 10(4), 80.
https://doi.org/10.3390/jintelligence10040080
Bile, A. (2022). Development of intellectual and scientific abilities through game-programming in Minecraft.
Education and Information Technologies, 27(5), 7241–7256.
https://doi.org/10.1007/s10639-022-10894-z
Bodenberg, M. M., & Nichols, K. (2019). Time for an "upgrade:" How incorporating social habits can further boost your writing potential.
Currents in Pharmacy Teaching & Learning, 11(11), 1077–1082.
https://doi.org/10.1016/j.cptl.2019.07.003
Bolock, A. E., Abdennadher, S., & Herbert, C. (2021). An ontology-based framework for psychological monitoring in education during the COVID-19 pandemic.
Frontiers in Psychology, 12, 673586.
https://doi.org/10.3389/fpsyg.2021.673586
Bordkhani, S. (2023). The role of using artificial intelligence and modern educational software in students' creativity and academic achievement. Second International Conference on Educational Sciences, Counseling, Psychology, and Social Sciences. [In Persian]
Borg, M. E., Butterfield, K. M., Wood, E., Zhang, H. H., & Pinto, S. (2021). Investigating the impacts of personality on the use and perceptions of online collaborative platforms in higher education.
SN Social Sciences, 1(1), 40.
https://doi.org/10.1007/s43545-020-00053-x
Bourgeois-Bougrine, S. (2020). What does creativity mean in safety-critical environments?
Frontiers in Psychology, 11, 565884.
https://doi.org/10.3389/fpsyg.2020.565884
Cameron, E., Fleming, H., Mose, R., & Monteiro, S. (2024). Exploring context and culture in clinical reasoning medical education: A qualitative exploratory study.
Journal of Evaluation in Clinical Practice. Advance online publication.
https://doi.org/10.1111/jep.14126
Chafai, N., Bonizzi, L., Botti, S., & Badaoui, B. (2024). Emerging applications of machine learning in genomic medicine and healthcare.
Critical Reviews in Clinical Laboratory Sciences, 61(2), 140–163.
https://doi.org/10.1080/10408363.2023.2259466
Chesire, F., Ochieng, M., Mugisha, M., Ssenyonga, R., Oxman, M., Nsangi, A., Semakula, D., Nyirazinyoye, L., Lewin, S., Sewankambo, N. K., Kaseje, M., Oxman, A. D., & Rosenbaum, S. (2022). Contextualizing critical thinking about health using digital technology in secondary schools in Kenya: A qualitative analysis.
Pilot and Feasibility Studies, 8(1), 227.
https://doi.org/10.1186/s40814-022-01183-0
Chiles, R. M., Ard, K., Teixeira-Poit, S., Flora, C., Williams, R., & Grady, C. (2022). Empowering students to confront environmental injustice: Dialogue, theory, empathy, and partnership.
SN Social Sciences, 2(12), 255.
https://doi.org/10.1007/s43545-022-00564-9
Cromley, J. G., Dai, T., Fechter, T. S., Nelson, F. E., Van Boekel, M., & Du, Y. (2021). Development of a tool to assess inference-making and reasoning in biology.
Journal of Microbiology & Biology Education, 22(2), e00159-21.
https://doi.org/10.1128/jmbe.00159-21
Dhillon, S. K., Ganggayah, M. D., Sinnadurai, S., Lio, P., & Taib, N. A. (2022). Theory and practice of integrating machine learning and conventional statistics in medical data analysis.
Diagnostics, 12(10), 2526.
https://doi.org/10.3390/diagnostics12102526
Eremionkhale, A. E., Eveland, M., Frost, S., & Swarthout, J. T. (2023). Online interactive pedagogical tools for the Principles of Microeconomics curriculum.
Eastern Economic Journal, 49(1), 113–127.
https://doi.org/10.1057/s41302-022-00230-1
Fatima, S. S., Sheikh, N. A., & Osama, A. (2024). Authentic assessment in medical education: Exploring AI integration and student-as-partners collaboration.
Postgraduate Medical Journal, 100(1190), 959–967.
https://doi.org/10.1093/postmj/qgae088
Gao, Y. (2023). Unleashing the mechanism among environmental regulation, artificial intelligence, and global value chain leaps: A roadmap toward digital revolution and environmental sustainability.
Environmental Science and Pollution Research, 30(10), 28107–28117.
https://doi.org/10.1007/s11356-022-23898-6
García-Carrión, R., Molina Roldán, S., & Roca Campos, E. (2018). Interactive learning environments for the educational improvement of students with disabilities in special schools.
Frontiers in Psychology, 9, 1744.
https://doi.org/10.3389/fpsyg.2018.01744
Gencer, G., & Gencer, K. (2024). A comparative analysis of ChatGPT and medical faculty graduates in medical specialization exams: Uncovering the potential of artificial intelligence in medical education.
Cureus, 16(8), e66517.
https://doi.org/10.7759/cureus.66517
Goodhead, L. K., & MacMillan, F. M. (2017). Measuring osmosis and hemolysis of red blood cells.
Advances in Physiology Education, 41(2), 298–305.
https://doi.org/10.1152/advan.00083.2016
Grady, M., & Bell, R. (2021). Critical thinking medication storytelling: A teaching strategy to engage thoughts, emotions, and creativity.
Nursing Education Perspectives, 42(6), E139–E140.
https://doi.org/10.1097/01.NEP.0000000000000739
Graves, J. L., Jr., Reiber, C., Thanukos, A., Hurtado, M., & Wolpaw, T. (2016). Evolutionary science as a method to facilitate higher level thinking and reasoning in medical training.
Evolution, Medicine, and Public Health, 2016(1), 358–368.
https://doi.org/10.1093/emph/eow029
Grayson, K. L., Hilliker, A. K., & Wares, J. R. (2022). R Markdown as a dynamic interface for teaching: Modules from math and biology classrooms.
Mathematical Biosciences, 349, 108844.
https://doi.org/10.1016/j.mbs.2022.108844
Grunberg, N. E., McManigle, J. E., & Barry, E. S. (2021). Applying classic social psychology principles to improve healthcare teams.
MedEdPublish, 9, 251.
https://doi.org/10.15694/mep.2020.000251.2
Hacatrjana, L. (2022). Flexibility to change the solution: An indicator of problem solving that predicted 9th grade students' academic achievement during distance learning, in parallel to reasoning abilities and parental education.
Journal of Intelligence, 10(1), 7.
https://doi.org/10.3390/jintelligence10010007
Hajizadeh, S., & Shirvani, M. (2024). The impact of artificial intelligence applications in education and presenting successful projects. First National Conference on Artificial Intelligence in Education and Learning, Allameh Tabataba'i University. [In Persian]
Heidari, M., & Ebrahimi, P. (2016). Examining the relationship between critical-thinking skills and decision-making ability of emergency medicine students.
Indian Journal of Critical Care Medicine, 20(10), 581–586.
https://doi.org/10.4103/0972-5229.192045
Hemachandran, K., Verma, P., Pareek, P., Arora, N., Kumar, K. V. R., Ahanger, T. A., Pise, A. A., & Ratna, R. (2022). Artificial intelligence: A universal virtual tool to augment tutoring in higher education.
Computational Intelligence and Neuroscience, 2022, 1410448.
https://doi.org/10.1155/2022/1410448
Hershberger, P. J., Pei, Y., Bricker, D. A., Crawford, T. N., Shivakumar, A., Castle, A., Conway, K., Medaramitta, R., Rechtin, M., & Wilson, J. F. (2024). Motivational interviewing skills practice enhanced with artificial intelligence: ReadMI.
BMC Medical Education, 24(1), 237.
https://doi.org/10.1186/s12909-024-05217-4
Horvers, A., Molenaar, I., Van Der West, H., Bosse, T., & Lazonder, A. W. (2024). Multimodal measurements enhance insights into emotional responses to immediate feedback.
Frontiers in Psychology, 14, 1294386.
https://doi.org/10.3389/fpsyg.2023.1294386
Ivancovsky, T., Baror, S., & Bar, M. (2024). A shared novelty-seeking basis for creativity and curiosity: Response to the commentators.
Behavioral and Brain Sciences, 47, e119.
https://doi.org/10.1017/S0140525X24000293
Ji, M., Le, J., Chen, B., & Li, Z. (2024). A predictive model for classifying college students' academic performance based on visual-spatial skills.
Frontiers in Psychology, 15, 1434015.
https://doi.org/10.3389/fpsyg.2024.1434015
Kacperczyk-Bartnik, J., Urban, A., Bartnik, P., Teliga-Czajkowska, J., Janowska, E., Dobrowolska-Redo, A., Romejko-Wolniewicz, E., Czajkowski, K., & Sieńko, J. (2024). Good teaching practices for organizing and conducting clinical classes in obstetrics and gynaecology for medical undergraduate students at the English Division.
BMC Medical Education, 24(1), 1137.
https://doi.org/10.1186/s12909-024-06109-3
Kedar, S., & Khazanchi, D. (2023). Neurology education in the era of artificial intelligence.
Current Opinion in Neurology, 36(1), 51–58.
https://doi.org/10.1097/WCO.0000000000001130
Keir, J. E., Saad, S. L., & Davin, L. (2018). Exploring tutor perceptions and current practices in facilitating diagnostic reasoning in preclinical medical students: Implications for tutor professional development needs.
MedEdPublish, 7, 106.
https://doi.org/10.15694/mep.2018.0000106.1
Klinkosz, W., Iskra, J., & Artymiak, M. (2021). Interpersonal competences of students, their interpersonal relations, and emotional intelligence.
Current Issues in Personality Psychology, 9(2), 125–134.
https://doi.org/10.5114/cipp.2021.105733
Kshirsagar, P. R., Jagannadham, D. B. V., Alqahtani, H., Naveed, Q. N., Islam, S., Thangamani, M., & Dejene, M. (2022). Human intelligence analysis through perception of AI in teaching and learning.
Computational Intelligence and Neuroscience, 2022, 9160727.
https://doi.org/10.1155/2022/9160727
Kuxhaus, L., & Troy, K. L. (2018). Bad to the bone: Multifaceted enrichment of open-ended biomechanics class projects.
Journal of Biomechanical Engineering, 140(8), 081003.
https://doi.org/10.1115/1.4040293
Lai, Y. H. (2023). Multi-ethnic computational thinking and cultural respect in unmanned aerial vehicle-assisted culturally responsive teaching.
Frontiers in Psychology, 14, 1098812.
https://doi.org/10.3389/fpsyg.2023.1098812
Lee, K. W. (2023). Effectiveness of gamification and selection of appropriate teaching methods of creativity: Students' perspectives.
Heliyon, 9(10), e20420.
https://doi.org/10.1016/j.heliyon.2023.e20420
Leufer, T., & Cleary-Holdforth, J. (2020). Senior nursing students' perceptions of their readiness for practice prior to final year internship: Part 2-A qualitative perspective.
Dimensions of Critical Care Nursing, 39(2), 81–90.
https://doi.org/10.1097/DCC.0000000000000407
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
Lin, H., & Chen, Q. (2024). Artificial intelligence (AI)-integrated educational applications and college students' creativity and academic emotions: Students and teachers' perceptions and attitudes.
BMC Psychology, 12(1), 487.
https://doi.org/10.1186/s40359-024-01979-0
Lin, S., Duan, W., Wang, Y., & Duan, H. (2024). Thinking style moderates the impact of the classroom environment on language creativity.
Journal of Intelligence, 12(1), 5.
https://doi.org/10.3390/jintelligence12010005
Liu, S., Zhang, Y., Liu, Y., He, L., & Xiao, Y. (2022). The influence of supervisor creative feedback environment on team creativity: The role of the ambidextrous learning and creative cognitive style.
Frontiers in Psychology, 13, 1007947.
https://doi.org/10.3389/fpsyg.2022.1007947
Liu, Y., Chen, L., & Yao, Z. (2022). The application of artificial intelligence assistant to deep learning in teachers' teaching and students' learning processes.
Frontiers in Psychology, 13, 929175.
https://doi.org/10.3389/fpsyg.2022.929175
Lupton, D., & Maslen, S. (2019). How women use digital technologies for health: Qualitative interview and focus group study.
Journal of Medical Internet Research, 21(1), e11481.
https://doi.org/10.2196/11481
Ma, C. W., Cheng, P. S., Chan, Y. S., & Tipoe, G. L. (2023). Virtual reality: A technology to promote active learning of physiology for students across multiple disciplines.
Advances in Physiology Education, 47(3), 594–603.
https://doi.org/10.1152/advan.00172.2022
Malysheva, O., Tokareva, E., Orchakova, L., & Smirnova, Y. (2022). The effect of online learning in modern history education.
Heliyon, 8(7), e09965.
https://doi.org/10.1016/j.heliyon.2022.e09965
Matlala, S. (2021). Educators' perceptions and views of problem-based learning through simulation.
Curationis, 44(1), e1–e7.
https://doi.org/10.4102/curationis.v44i1.2094
Mohammadi Ahmadabadi, N., Khavarian, S., & Yazdizadeh, F. (2024). The role of artificial intelligence in fostering children's creativity and improving learning. Information and Communication Technology in Educational Sciences, 4(14), 153–167. [In Persian]
Moslemi, S. A. (2024). Topics, strategies, and learning outcomes in artificial intelligence education in classrooms: A systematic review. First National Conference on Artificial Intelligence in Education and Learning, Allameh Tabataba'i University. [In Persian]
Naidoo, K., & Koch, G. G. V. (2024). The journey of service-learning: Perspectives from medical imaging and therapeutic sciences students.
Journal of Medical Imaging and Radiation Sciences, 55(4), 101757.
https://doi.org/10.1016/j.jmir.2024.101757
O'Rourke, P., Haarmann, H. J., George, T., Smaliy, A., Grunewald, K., & Dien, J. (2015). Hemispheric alpha asymmetry and self-rated originality of ideas.
Laterality, 20(6), 685–698.
https://doi.org/10.1080/1357650X.2015.1037309
Oven, A., & Domajnko, B. (2021). Job satisfaction and creativity at work among occupational therapy practitioners: A mixed-methods study.
Work, 69(4), 1351–1362.
https://doi.org/10.3233/WOR-213555
Özçelik, N., & Selimoğlu, İ. (2021). Artificial intelligence applications in pulmonology and its advantages during the pandemic period.
Tuberkuloz ve Toraks, 69(3), 380–386.
https://doi.org/10.5578/tt.20219710
Park, S. H., Kim, K. K., & Hahm, J. (2016). Neuro-scientific studies of creativity.
Dementia and Neurocognitive Disorders, 15(4), 110–114.
https://doi.org/10.12779/dnd.2016.15.4.110
Pavlova, I. V. (2022). Alien Intelligence Research Institute: A perspective-taking activity for a nuanced view on traits and a growth mindset.
Journal of Microbiology & Biology Education, 23(1), e00264-21.
https://doi.org/10.1128/jmbe.00264-21
Pavlovic, Z. J., Jiang, V. S., & Hariton, E. (2024). Current applications of artificial intelligence in assisted reproductive technologies through the perspective of a patient's journey.
Current Opinion in Obstetrics & Gynecology, 36(4), 211–217.
https://doi.org/10.1097/GCO.0000000000000951
Pérez-Fuentes, M. D. C., Molero Jurado, M. D. M., Oropesa Ruiz, N. F., Simón Márquez, M. D. M., & Gázquez Linares, J. J. (2019). Relationship between digital creativity, parenting style, and adolescent performance.
Frontiers in Psychology, 10, 2487.
https://doi.org/10.3389/fpsyg.2019.02487
Petrosyan, L., Poghosyan, S., Stepanyan, L., & Ghazeyan, K. (2024). Manifestation of creativity among modern managers as a factor in promoting personal maturity and mental health. Georgian Medical News, 346, 38–44.
Pham, A. T., & Nguyen, T. B. (2024). English as a foreign language students' acceptance of Google Classroom in writing classes: A case study in Vietnam.
Heliyon, 10(8), e29832.
https://doi.org/10.1016/j.heliyon.2024.e29832
Pirouvinia, F., & Nazarizadeh, F. (2024). Identifying effective drivers on the future of smart schools with a futurology approach. First National Conference on Artificial Intelligence in Education and Learning, Allameh Tabataba'i University. [In Persian]
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education.
Research and Practice in Technology Enhanced Learning, 12(1), 22.
https://doi.org/10.1186/s41039-017-0062-8
Preiss, D. D., Grau, V., Ortiz, D., & Bernardino, M. (2016). What do we know about the development of creativity in South America?
New Directions for Child and Adolescent Development, 2016(152), 85–97.
https://doi.org/10.1002/cad.20157
Ritter, S. M., & Ferguson, S. (2017). Happy creativity: Listening to happy music facilitates divergent thinking.
PLOS ONE, 12(9), e0182210.
https://doi.org/10.1371/journal.pone.0182210
Ritter, S. M., Gu, X., Crijns, M., & Biekens, P. (2020). Fostering students' creative thinking skills by means of a one-year creativity training program.
PLOS ONE, 15(3), e0229773.
https://doi.org/10.1371/journal.pone.0229773
Roberts, T., Jackson, C., Mohr-Schroeder, M. J., Bush, S. B., Maiorca, C., Cavalcanti, M., Schroeder, D. C., Delaney, A., Putnam, L., & Cremeans, C. (2018). Students' perceptions of STEM learning after participating in a summer informal learning experience.
International Journal of STEM Education, 5(1), 35.
https://doi.org/10.1186/s40594-018-0133-4
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
Royal, K. D., & Hedgpeth, M. W. (2018). Think subscores are a helpful form of feedback? Think again.
Journal of Veterinary Medical Education, 45(4), 567–570.
https://doi.org/10.3138/jvme.0117-014r1
Rupp, M. T. (2019). Encouraging students to challenge assumptions.
American Journal of Pharmaceutical Education, 83(5), 7481.
https://doi.org/10.5688/ajpe7481
Russell, R. G., Lovett Novak, L., Patel, M., Garvey, K. V., Craig, K. J. T., Jackson, G. P., Moore, D., & Miller, B. M. (2023). Competencies for the use of artificial intelligence-based tools by health care professionals.
Academic Medicine, 98(3), 348–356.
https://doi.org/10.1097/ACM.0000000000004963
Sampanis, N. (2020). Transitioning knowledge levels through problem solving methods.
Advances in Experimental Medicine and Biology, 1194, 459–474.
https://doi.org/10.1007/978-3-030-32622-7_45
Sánchez, J., Lesmes, M., Azpeleta, C., & Gal, B. (2022). Work station learning activities (WSLA) through the ICAP framework: A qualitative study.
BMC Medical Education, 22(1), 748.
https://doi.org/10.1186/s12909-022-03794-w
Sathe, T. S., L'Huillier, J. C., Moreci, R., Lund, S., Brian, R., Silvestri, C., Gan, C., McDermott, C., Atkinson, A., Navarro, S. M., Broecker, J., Woodward, J. M., Johnston, T., Laconi, N., Williams, J., & Thornton, S. (2024). Reimagining general surgery resident selection: Collaborative innovation through design thinking.
Surgery Open Science, 19, 223–229.
https://doi.org/10.1016/j.sopen.2024.05.006
Scallan Walter, E. J., Mousavi, C. T., Elnicki, J., & Davis, S. (2022). Training public health professionals on adaptive challenges-An innovative approach using remote learning modalities.
Journal of Public Health Management and Practice, 28(5 Suppl 5), S240–S248.
https://doi.org/10.1097/PHH.0000000000001522
Scott, E. E., Anderson, C. W., Mashood, K. K., Matz, R. L., Underwood, S. M., & Sawtelle, V. (2018). Developing an analytical framework to characterize student reasoning about complex processes.
CBE—Life Sciences Education, 17(3), ar49.
https://doi.org/10.1187/cbe.17-10-0225
Snow, F. (2019). Creativity and innovation: An essential competency for the nurse leader.
Nursing Administration Quarterly, 43(4), 306–312.
https://doi.org/10.1097/NAQ.0000000000000367
Su, Y. S., Lin, Y. D., & Liu, T. Q. (2022). Applying machine learning technologies to explore students' learning features and performance prediction.
Frontiers in Neuroscience, 16, 1018005.
https://doi.org/10.3389/fnins.2022.1018005
Suiter, S. V., & Meadows, M. L. (2023). Educational attainment and educational contexts as social determinants of health.
Primary Care, 50(4), 579–589.
https://doi.org/10.1016/j.pop.2023.04.007
Tarsuslu, S., Agaoglu, F. O., & Bas, M. (2024). Can digital leadership transform AI anxiety and attitude in nurses?
Journal of Nursing Scholarship. Advance online publication.
https://doi.org/10.1111/jnu.13008
Taşdelen Baş, M., Özpulat, F., Molu, B., & Dönmez, H. (2022). The effect of decorative arts course on nursing students' creativity and critical thinking dispositions.
Nurse Education Today, 119, 105584.
https://doi.org/10.1016/j.nedt.2022.105584
Tuma, F., & Aljazeeri, J. (2021). Asynchronous group learning in learn from the learner approach: A learning object that enhances and facilitates distance self and shared learning.
Annals of Medicine and Surgery, 67, 102535.
https://doi.org/10.1016/j.amsu.2021.102535
Vedawala, N. P., Thakrar, S. J., Thakrar, J. V., Patel, P. G., & Patel, Y. G. (2024). Six Thinking Hats model of learning-Creative teaching method in physiotherapy-A pilot study.
Journal of Education and Health Promotion, 13, 24.
https://doi.org/10.4103/jehp.jehp_724_23
Venkatesan, S., & Ancy, A. L. (2023). Care as a creative practice: Comics, dementia and graphic medicine.
Journal of Visual Communication in Medicine, 46(2), 75–84.
https://doi.org/10.1080/17453054.2023.2216249
Wang, H. H., & Wang, C. A. (2024). Teaching design students machine learning to enhance motivation for learning computational thinking skills.
Acta Psychologica, 251, 104619.
https://doi.org/10.1016/j.actpsy.2024.104619
Wang, L., & Jiang, N. (2022). Managing students' creativity in music education - The mediating role of frustration tolerance and moderating role of emotion regulation.
Frontiers in Psychology, 13, 843531.
https://doi.org/10.3389/fpsyg.2022.843531
Wang, Y. P. (2021). Effects of online problem-solving instruction and identification attitude toward instructional strategies on students' creativity.
Frontiers in Psychology, 12, 771128.
https://doi.org/10.3389/fpsyg.2021.771128
Wang, Y., & Ji, Y. (2021). How do they learn: Types and characteristics of medical and healthcare student engagement in a simulation-based learning environment.
BMC Medical Education, 21(1), 420.
https://doi.org/10.1186/s12909-021-02858-7
William, S., Hegazi, I., & Peters, K. (2024). A qualitative exploration of transitions, compliance, and onboarding challenges for international students in health professional education degrees.
Contemporary Nurse, 60(4), 395–408.
https://doi.org/10.1080/10376178.2024.2370936
Wolcott, M. D., McLaughlin, J. E., Hubbard, D. K., Rider, T. R., & Umstead, K. (2021). Twelve tips to stimulate creative problem-solving with design thinking.
Medical Teacher, 43(5), 501–508.
https://doi.org/10.1080/0142159X.2020.1807483
Wu, H., & Molnár, G. (2022). Analysing complex problem-solving strategies from a cognitive perspective: The role of thinking skills.
Journal of Intelligence, 10(3), 46.
https://doi.org/10.3390/jintelligence10030046
Yancey, N. R. (2021). Shame in teaching-learning: A humanbecoming perspective.
Nursing Science Quarterly, 34(2), 125–129.
https://doi.org/10.1177/0894318421993171
Yeh, Y. C., & Ting, Y. S. (2023). Comparisons of creativity performance and learning effects through digital game-based creativity learning between elementary school children in rural and urban areas.
British Journal of Educational Psychology, 93(3), 790–805.
https://doi.org/10.1111/bjep.12594
Zhan, Z., He, L., & Zhong, X. (2024). How does problem-solving pedagogy affect creativity? A meta-analysis of empirical studies.
Frontiers in Psychology, 15, 1287082.
https://doi.org/10.3389/fpsyg.2024.1287082
Zhang, J., Yang, Y., Ge, J., Liang, X., & An, Z. (2023). Stimulating creativity in the classroom: Examining the impact of sense of place on students' creativity and the mediating effect of classmate relationships.
BMC Psychology, 11(1), 432.
https://doi.org/10.1186/s40359-023-01479-7
Zhao, J. (2022). Integrating mental health education into French teaching in university based on artificial intelligence technology.
Journal of Environmental and Public Health, 2022, 1046813.
https://doi.org/10.1155/2022/1046813
Zhou, E., Shen, Q., & Hou, Y. (2024). Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: A review.
Frontiers in Pharmacology, 15, 1181183.
https://doi.org/10.3389/fphar.2024.1181183
Zurmehly, J., & Adams, K. (2017). Using quick response codes in the classroom: Quality outcomes.
Computers, Informatics, Nursing, 35(10), 505–511.
https://doi.org/10.1097/CIN.0000000000000363
