Artificial intelligence to develop outcomes for critical thinking: A helping start and still up to the educator to develop the final outcome

IF 1.7 4区 教育学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE European Journal of Dental Education Pub Date : 2024-05-10 DOI:10.1111/eje.13017
David C. Johnsen, Leonardo Marchini
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Dental education faces similar challenges in articulating learning outcomes, learning guides, performance assessments for different perspectives on critical thinking, including ethics, treatment planning, risk assessment for caries, periodontitis and Geriatrics, Interprofessional Practice, Evidence-based Dentistry, social responsibility, empathy projection, technology decision making.<span><sup>1-11</sup></span></p><p>The purpose of this essay is to begin a discussion on ways AI can facilitate the development of outcomes for critical thinking—followed by learning guides and assessments. The selection of critical thinking can precede similar discussions on AI and outcomes for other domains beyond knowledge and technical. A starter question is, ‘How can AI help professors to articulate learning outcomes beyond knowledge and technical, selecting critical thinking as a starting point?’ The authors have prompted the AI model ChatGPT 3.5 (OpenAI Inc.) with the following prompt ‘What are appropriate learning outcomes for critical thinking?’ The details about the prompt and the AI model responses are in Table 1. A rich assortment of perspectives appears that serve as strong background for the educator developing an understanding of the complexities of critical thinking in general. Several of these have been addressed with more explicit articulation of outcomes related to specific dental education goals as well as learning guidance and performance assessments (References on treatment planning, IPP, EBD, Literature search and critique, risk assessment for caries and geriatrics, technology decision making, etc.) This level of analysis falls short of articulating the explicit learning outcomes—what the student is to <i>do</i>—to lead to learning guidance and performance assessment. 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Johnsen and Leonardo Marchini participated proactively and equally in developing the concept for the paper, developing the methods, executing the methods, interpreting the results and drafting the manuscript.</p><p>No external funding.</p><p>The authors have no conflicts of interest.</p><p>Not human subject research.</p>","PeriodicalId":50488,"journal":{"name":"European Journal of Dental Education","volume":"28 4","pages":"877-879"},"PeriodicalIF":1.7000,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/eje.13017","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Dental Education","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/eje.13017","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
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Abstract

Artificial intelligence (AI) is widely seen as a big part of the future of education with many areas already affected, for example, data mining, data retrieval and diagnostics, particularly radiology. Critical thinking is widely seen as an essential skill for a successful dentist. While critical thinking has received much thematic attention, the literature on explicit learning outcomes is sparse and the literature for learning guidance end performance assessment is sparser. Dental education faces similar challenges in articulating learning outcomes, learning guides, performance assessments for different perspectives on critical thinking, including ethics, treatment planning, risk assessment for caries, periodontitis and Geriatrics, Interprofessional Practice, Evidence-based Dentistry, social responsibility, empathy projection, technology decision making.1-11

The purpose of this essay is to begin a discussion on ways AI can facilitate the development of outcomes for critical thinking—followed by learning guides and assessments. The selection of critical thinking can precede similar discussions on AI and outcomes for other domains beyond knowledge and technical. A starter question is, ‘How can AI help professors to articulate learning outcomes beyond knowledge and technical, selecting critical thinking as a starting point?’ The authors have prompted the AI model ChatGPT 3.5 (OpenAI Inc.) with the following prompt ‘What are appropriate learning outcomes for critical thinking?’ The details about the prompt and the AI model responses are in Table 1. A rich assortment of perspectives appears that serve as strong background for the educator developing an understanding of the complexities of critical thinking in general. Several of these have been addressed with more explicit articulation of outcomes related to specific dental education goals as well as learning guidance and performance assessments (References on treatment planning, IPP, EBD, Literature search and critique, risk assessment for caries and geriatrics, technology decision making, etc.) This level of analysis falls short of articulating the explicit learning outcomes—what the student is to do—to lead to learning guidance and performance assessment. A comment from the AI is, ‘Learning outcomes for critical thinking can vary depending on the specific context…’ A question arises as to who determines the context?

A further question can be, ‘How can the articulation of learning outcomes lead to learning guidance and performance assessment – what the student is to do and how do we know if the student did it?’ The authors have prompted the same AI model using the following prompt: ‘How can the articulation of learning outcomes lead to learning guidance and performance assessment – what the student is to do and how do we know if the student did it?’ The narrative response of GTP is ‘The articulation of learning outcomes is a crucial step in educational design and assessment. Learning outcomes define what students are expected to know, understand, and be able to do by the end of a learning experience. When well-articulated, learning outcomes serve as a foundation for effective learning guidance and performance assessment. Here's how this process works’. The details about this second prompt and the AI model responses are in Table 2. As in Table 1, a rich array of subcategories appears that will benefit the dental educator in adding depth to a culture of critical thinking. Yet, the explicit learning guidance on ways the student can think and what the student is to do remains elusive. Without an explicit learning guide, an outcomes-based assessment similarly remains elusive.

In conclusion, AI can offer a rich background on critical thinking (also available in the current literature) and falls short of offering explicit learning guidance and performance assessment. The ‘context-specific’ part means that (for the time being) development of critical thinking learning guidance and performance assessment will still call on the active mind of the dental educator.

David C. Johnsen and Leonardo Marchini participated proactively and equally in developing the concept for the paper, developing the methods, executing the methods, interpreting the results and drafting the manuscript.

No external funding.

The authors have no conflicts of interest.

Not human subject research.

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人工智能开发批判性思维成果:这是一个有益的开端,但最终成果仍取决于教育者。
人工智能(AI)被广泛视为未来教育的重要组成部分,许多领域已经受到影响,例如数据挖掘、数据检索和诊断,尤其是放射学。批判性思维被广泛视为成功牙医的一项基本技能。虽然批判性思维受到了很多专题的关注,但有关明确的学习成果的文献却很少,而有关学习指导最终绩效评估的文献则更少。口腔医学教育在阐述学习成果、学习指南、对批判性思维的不同视角进行绩效评估方面面临着类似的挑战,这些视角包括伦理、治疗计划、龋病、牙周炎和老年病学的风险评估、跨专业实践、循证口腔医学、社会责任、移情投射、技术决策等。在选择批判性思维之前,可以先对人工智能和知识与技术以外的其他领域的成果进行类似的讨论。一个开头的问题是:"人工智能如何帮助教授们明确提出知识和技术以外的学习成果,并选择批判性思维作为起点? 作者用人工智能模型 ChatGPT 3.5(OpenAI 公司)提示 "批判性思维的适当学习成果是什么?有关提示和人工智能模型回答的详情见表 1。表 1 列出了丰富的观点,为教育者了解批判性思维的复杂性提供了有力的背景资料。其中有几个问题已经通过更明确地阐述与具体口腔医学教育目标相关的成果以及学习指导和成绩评估(关于治疗计划、IPP、EBD、文献检索和评论、龋病和老年病风险评估、技术决策等方面的参考文献)得到了解决,但这一层面的分析还不足以阐明明确的学习成果--学生要做什么--从而引导学习指导和成绩评估。人工智能的一个评论是:"批判性思维的学习成果可能因具体环境的不同而不同...... "这就产生了一个问题,即谁来决定环境?进一步的问题可以是:"学习成果的阐述如何引导学习指导和绩效评估--学生要做什么,我们如何知道学生是否做到了?"作者用下面的提示对相同的人工智能模型进行了提示:学习成果的阐述如何导致学习指导和绩效评估--学生要做什么,我们如何知道学生是否做到了?"GTP的叙述性回答是:"阐明学习成果是教育设计和评估的关键步骤。学习成果定义了学生在学习结束时应该知道、理解和能够做到的事情。如果阐述得当,学习成果将成为有效的学习指导和成绩评估的基础。这个过程是这样的有关第二个提示和人工智能模型回答的详情见表 2。与表 1 一样,表 2 中出现了丰富的子类别,这将有利于口腔教育者增加批判性思维文化的深度。然而,关于学生思考的方式以及学生应该做什么的明确的学习指导仍然是难以捉摸的。总之,人工智能可以提供批判性思维的丰富背景(也可在现有文献中找到),但却无法提供明确的学习指导和绩效评估。大卫-C-约翰森(David C. Johnsen)和莱昂纳多-马尔基尼(Leonardo Marchini)积极主动、平等地参与了论文的概念开发、方法开发、方法实施、结果解释和手稿起草。
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来源期刊
CiteScore
4.10
自引率
16.70%
发文量
127
审稿时长
6-12 weeks
期刊介绍: The aim of the European Journal of Dental Education is to publish original topical and review articles of the highest quality in the field of Dental Education. The Journal seeks to disseminate widely the latest information on curriculum development teaching methodologies assessment techniques and quality assurance in the fields of dental undergraduate and postgraduate education and dental auxiliary personnel training. The scope includes the dental educational aspects of the basic medical sciences the behavioural sciences the interface with medical education information technology and distance learning and educational audit. Papers embodying the results of high-quality educational research of relevance to dentistry are particularly encouraged as are evidence-based reports of novel and established educational programmes and their outcomes.
期刊最新文献
Spatial Abilities and Endodontic Access Cavity Preparation: Implications for Dental Education. Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey. Factors Influencing the Selection of Dentistry as a Career Among Prospective Candidates: A Multicentre Cross-Sectional Study. Impact of COVID-19 on Depression, Anxiety and Stress of Dental Students: A Systematic Review. Effectiveness of a New Broadrick Flag Support for Assisting Students With the Design of an Occlusal Plane.
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