References
- Thurzo A, Strunga M, Urban R, Surovkova J, Afrashtehfar KI: Impact of artificial intelligence on dental education: a review and guide for curriculum update. Education Sciences 13: 150, 2023. https://doi.org/10.3390/educsci13020150
- Jeong H, Han SS, Kim KE, Park IS, Choi Y, Jeon KJ: Korean dental hygiene students' perceptions and attitudes toward artificial intelligence: an online survey. J Dent Educ 87: 804-812, 2023. https://doi.org/10.1002/jdd.13189
- Gilster P: Digital literacy. Wiley Computer Pub., New York, pp.40-45, 1997.
- Seo S, Ok H: Development of self assessment tool for digital literacy competence. Soc Digit Policy Manag 18: 1-8, 2020. https://doi.org/10.14400/JDC.2020.18.7.001
- Yi Y: New paradigm and literacy in the digital era: focusing on digital literacy and ai literacy. J Gen Educ 20: 35-60, 2022. https://doi.org/10.24173/jge.2022.07.20.2
- Park SY, Shim YS: Based on dental hygiene students' use of social media digital literacy convergence competence. J Next-Gen Converg Technol Assoc 6: 2376-2385, 2022. https://doi.org/10.33097/JNCTA.2022.06.12.2376
- Wang B, Rau PLP, Yuan T: Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behav Inf Technol 42: 1324-1337, 2023. https://doi.org/10.1080/0144929X.2022.2072768
- Nguyen TT, Larrivee N, Lee A, Bilaniuk O, Durand R: Use of artificial intelligence in dentistry: current clinical trends and research advances. J Can Dent Assoc 87: l7, 2021.
- Abou Hashish EA, Alnajjar H: Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students. BMC Med Educ 24: 508, 2024. https://doi.org/10.1186/s12909-024-05482-3
- Kim SW, Lee Y: Attitudes toward artificial intelligence of high school students' in Korea. J Korea Converg Soc 11: 1-13, 2020. https://doi.org/10.15207/JKCS.2020.11.12.001
- Holm P: Impact of digital literacy on academic achievement: evidence from an online anatomy and physiology course. E-Learn Digit Media 2024. [Epub ahead of print] https://doi.org/10.1177/20427530241232489
- Kim EJ: A study on the relationship between digital literacy and major satisfaction of nursing students: intermediary role of lms learning effects. J Converg Cult Technol 8: 27-35, 2022. https://doi.org/10.17703/JCCT.2022.8.4.27
- Wild D, Kydd A, Szczepura A: Implementing digital skills training in care homes: a literature review. Nurs Older People 28: 26-29, 2016. https://doi.org/10.7748/nop.28.4.26.s22
- Bennett S, Maton K, Kervin L: The 'digital natives' debate: a critical review of the evidence. Br J Educ Technol 39: 775-786, 2008. https://doi.org/10.1111/j.1467-8535.2007.00793.x
- Leung L, Lee PSN: The influences of information literacy, internet addiction and parenting styles on internet risks. New Media Soc 14: 117-136, 2012. https://doi.org/10.1177/1461444811410406
- Kim HC, Lim JY, Park I, Kim M: A study on the development and validation of digital literacy measurement for middle school students. J Korea Soc Comput Inf 28: 177-188, 2023. https://doi.org/10.9708/jksci.2023.28.09.177
- Ryu EJ, Jang KS, Kim EA: Influence of learning presence of non-face-to-face class experience in nursing students on academic achievement: mediating effect of learning flow and moderated mediation of digital literacy. J Korean Acad Nurs 52: 278-290, 2022. https://doi.org/10.4040/jkan.21241
- Saxena P, Gupta SK, Mehrotra D, et al.: Assessment of digital literacy and use of smart phones among Central Indian dental students. J Oral Biol Craniofac Res 8: 40-43, 2018. https://doi.org/10.1016/j.jobcr.2017.10.001
- Han S, Ma E, Choi S, Hong D: Analysis on the impact of using smart-phone to subjective quality of life. Korean Assoc Inf Soc 20: 49-89, 2011.
- Twenge JM, Campbell WK: Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Prev Med Rep 12: 271-283, 2018. https://doi.org/10.1016/j.pmedr.2018.10.003
- Celik I: Exploring the determinants of artificial intelligence (AI) literacy: digital divide, computational thinking, cognitive absorption. Telemat Inform 83: 102026, 2023. https://doi.org/10.1016/j.tele.2023.102026
- Nomura T, Kanda T, Suzuki T, Kato K: Prediction of human behavior in human--robot interaction using psychological scales for anxiety and negative attitudes toward robots. IEEE Trans Rob 24: 442-451, 2008. https://doi.org/10.1109/TRO.2007.914004
- Buchanan JA: Use of simulation technology in dental education. J Dent Educ 65: 1225-1231, 2001. https://doi.org/10.1002/j.0022-0337.2001.65.11.tb03481.x
- Al-Saud LM, Mushtaq F, Allsop MJ, et al.: Feedback and motor skill acquisition using a haptic dental simulator. Eur J Dent Educ 21: 240-247, 2017. https://doi.org/10.1111/eje.12214
- Fabbrizio A, Fucarino A, Cantoia M, et al.: Smart devices for health and wellness applied to tele-exercise: an overview of new trends and technologies such as IoT and AI. Healthcare (Basel) 11: 1805, 2023. https://doi.org/10.3390/healthcare11121805
- Tay JRH, Ng E, Chow DY, Sim CPC: The use of artificial intelligence to aid in oral hygiene education: a scoping review. J Dent 135: 104564, 2023. https://doi.org/10.1016/j.jdent.2023.104564
- Kong SC, Cheung WMY, Tsang O: Evaluating an artificial intelligence literacy programme for empowering and developing concepts, literacy and ethical awareness in senior secondary students. Educ Inf Technol 28: 4703-4724, 2023. https://doi.org/10.1007/s10639-022-11408-7
- Araujo T, Helberger N, Kruikemeier S, de Vreese CH: In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI Soc 35: 611-623, 2020. https://doi.org/10.1007/s00146-019-00931-w