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探索教师对人工智能驱动的牙科教育的准备情况:一项多中心研究。

Exploring Faculty Preparedness for Artificial Intelligence-Driven Dental Education: A Multicentre Study.

作者信息

Al-Zubaidi Saad M, Muhammad Shaikh Gul, Malik Asma, Zain Ul Abideen Malik, Tareen Jawad, Alzahrani Nada Saeed A, Ahmed Siddiqui Ammar

机构信息

Department of Restorative Dental Sciences, College of Dentistry, University of Hail, Hail, SAU.

Department of Dental Education, Shahida Islam Medical and Dental College, Lodhran, PAK.

出版信息

Cureus. 2024 Jul 11;16(7):e64377. doi: 10.7759/cureus.64377. eCollection 2024 Jul.

Abstract

Introduction In the modern era, technology, including artificial intelligence (AI), is the centre of digital innovation. AI is revolutionising numerous fields, including the healthcare sector, globally. Incorporating AI in dental education may help in improving the diagnostic accuracy, learners' experiences, and effectiveness of the management of dental education institutions. However, successful implementation of AI requires the faculty's willingness to incorporate it into their practices. Thus, this research aims to explore the readiness of faculty members to integrate AI into dental education. Methodology The study employed a qualitative exploratory design to gather in-depth insights into faculty readiness for AI-driven dental education. Purposive sampling was employed, and 21 faculty members from public and private dental colleges in South Punjab participated in semi-structured interviews. The interviews focused on understanding participants' perceptions, experiences, and challenges related to AI integration in dental education. Thematic analysis was conducted utilising Braun and Clarke's framework to identify key themes and subthemes from the qualitative data using inductive coding. Results Five major themes and 14 subthemes emerged from the data analysis. Faculty members had low AI literacy coupled with diverse perceptions; some participants perceived AI as a solution for revolutionising teaching and learning, while others criticised its misuse as academic misconduct by students, an effect on students' critical thinking, and a threat to conventional jobs. However, most of the respondents also considered AI beneficial for students with remote access or from marginalised populations in terms of accessing and learning from limited resources. Concerns that participants highlighted included a lack of training opportunities, limited facilities, ethical concerns pertaining to data privacy, and assessment bias. Some of the recommendations provided by the respondents include the provision of training opportunities, the allocation of resources and infrastructure, and continuous effective support from institutions for the integration of AI in dental education. Conclusions This study emphasised the readiness of the faculty when it comes to the integration of AI in dental education. The faculty considered AI favourable for digitization and innovative education, although there is a lack of awareness of its application. Regarding the benefits of utilising AI, respondents highlighted its quick response, prediction of students' performance, and flexibility in learning. The challenges included lack of awareness regarding its implementation, inadequate training, lack of availability of resources, lack of institutional support, the problem of data confidentiality, and resistance to change. Suggestions included the provision of technical support, skills training, and the provision of required infrastructure. Participants recommended that AI tools must incorporate cultural and contextually specific content, use technical support for problems, and incorporate constant response systems to improve the AI tools for novice users, especially within developing regions such as Pakistan.

摘要

引言 在现代,包括人工智能(AI)在内的技术是数字创新的核心。人工智能正在全球范围内彻底改变众多领域,包括医疗保健领域。将人工智能纳入牙科教育可能有助于提高诊断准确性、学习者的体验以及牙科教育机构管理的有效性。然而,成功实施人工智能需要教师愿意将其融入教学实践。因此,本研究旨在探讨教师将人工智能融入牙科教育的准备情况。

方法 本研究采用定性探索性设计,以深入了解教师对人工智能驱动的牙科教育的准备情况。采用目的抽样法,来自旁遮普邦南部公立和私立牙科学院的21名教师参与了半结构化访谈。访谈重点在于了解参与者对牙科教育中人工智能整合的看法、经验和挑战。使用布劳恩和克拉克的框架进行主题分析,通过归纳编码从定性数据中识别关键主题和子主题。

结果 数据分析得出了五个主要主题和14个子主题。教师的人工智能素养较低,看法各异;一些参与者认为人工智能是彻底改变教学和学习的解决方案,而另一些人则批评学生将其滥用为学术不端行为,认为这会影响学生的批判性思维,并对传统工作构成威胁。然而,大多数受访者也认为人工智能对于远程获取资源或来自边缘化群体的学生在获取有限资源并从中学习方面是有益的。参与者强调的担忧包括缺乏培训机会、设施有限、与数据隐私相关的伦理问题以及评估偏差。受访者提出的一些建议包括提供培训机会、分配资源和基础设施,以及机构为牙科教育中人工智能的整合提供持续有效的支持。

结论 本研究强调了教师在将人工智能融入牙科教育方面的准备情况。教师认为人工智能有利于数字化和创新教育,尽管对其应用缺乏认识。关于使用人工智能的好处,受访者强调了其快速响应、对学生表现的预测以及学习的灵活性。挑战包括对其实施缺乏认识、培训不足、资源匮乏、缺乏机构支持、数据保密问题以及对变革的抵触。建议包括提供技术支持、技能培训以及提供所需的基础设施。参与者建议人工智能工具必须纳入文化和特定情境的内容,针对问题使用技术支持,并纳入持续响应系统,以改进面向新手用户的人工智能工具,特别是在巴基斯坦等发展中地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ff6/11316941/c5f002c3149c/cureus-0016-00000064377-i01.jpg

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