教育中的生成式人工智能:讨论与预测

Q2 Social Sciences Open Education Studies Pub Date : 2023-03-26 DOI:10.21686/1818-4243-2023-2-36-48
L. Konstantinova, V. Vorozhikhin, A. Petrov, E. S. Titova, D. Shtykhno
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引用次数: 0

摘要

该研究的目的是预测生成式人工智能,特别是ChatGPT技术对教育的影响的可能趋势。预测性估计是在专家讨论在教育中使用这些数字技术的后果的基础上形成的,这些讨论目前正在公共空间和科学界进行。专家意见和科学方法的主要群体正在被识别和比较,这使得有可能呈现将生成式人工智能整合到教育中的过程的远景。分析和预测主要是在高等教育中使用生成式人工智能的实践实例上进行的,然而,主要的规定和结论可以外推到其他教育层面。材料和方法。在研究过程中,使用了对公共空间(媒体、社交网络、教育组织和分析机构网站、公开演讲)中提出的专家意见进行定性分析的方法,以及对科学出版物进行有意义分析的方法。对专家意见和科学方法进行了分组和分类。该分析还使用了一项社会学研究的结果,该研究是通过对普列汉诺夫俄罗斯经济大学的学生进行的在线调查,样本超过3000人。采用社会预测的方法形成预测估计。通过分析可以得出结论,关于在教育中使用生成式人工智能的公共话语是有争议的。就生成式人工智能对教育的影响确定了五组专家意见,这些意见在教育组织使用人工智能的必要性以及在其影响下可能发生的教育变革的范围方面存在差异。对科学讨论的分析表明,科学界并没有最终确定生成式人工智能对教育领域的实际影响的后果。与此同时,正在确定其可能有希望使用的领域和问题领域,以及它在教育方面发起新的改革的潜力。预测了将生成式人工智能融入教育的可能趋势:教育范式逐渐向以创造力为导向的教育转变;增加人工智能技术在教育中的应用份额和范围;制定新的法律和道德标准,规范在教育中使用生成式人工智能;增加讲师的重要性并改变讲师的角色。生成式人工智能具有解决发展教育的长期任务的所有潜力。然而,快速的技术发展不可避免地伴随着许多风险,这需要创造一种在教育中使用生成式人工智能的方法,完善监管框架和解决伦理问题。人类和人工智能在教育领域的融合将达到一个新的质量水平,这是未来的趋势。这种整合将有助于提高人力资本的质量,以适应快速发展的5.0工业革命技术。
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Generative Artificial Intelligence in Education: Discussions and Forecasts
The purpose of the study is to predict possible trends in the impact of generative artificial intelligence, in particular ChatGPT technologies, on education. Predictive estimates are formed on the basis of expert discussions of the consequences of using these digital technologies in education, which are currently going on in the public space and in the scientific community. The main groups of expert opinions and scientific approaches are being identified and compared, which makes it possible to present a perspective vision of the processes of integrating generative artificial intelligence into education. Analysis and forecasting are mostly carried out on the example of the practice by using generative artificial intelligence in higher education, however, the main provisions and conclusions can be extrapolated to other levels of education.Materials and methods. In the course of the study, methods of qualitative analysis of expert opinions presented in the public space (in the media, social networks, on the websites of educational organizations and analytical agencies, in public speeches), as well as methods of meaningful analysis of scientific publications, were used. Grouping and classification of expert opinions and scientific approaches were carried out. The analysis also used the results of a sociological study conducted by means of online survey of students from the Plekhanov Russian University of Economics on a sample of more than 3 thousand people. Methods of social forecasting were used to form predictive estimates.Results. The analysis made it possible to conclude that public discourse on employing generative artificial intelligence in education is controversial. Five groups of expert opinions were identified regarding the impact of generative artificial intelligence on education, which differ as to the need for its use in educational organizations and the scope of educational transformations that can occur under its influence. The analysis of scientific discussions showed that scientific community has not finally determined the consequences of the practical impact of generative artificial intelligence on the field of education. At the same time, possible promising areas and problem areas of its use are being identified, as well as its potential to initiate new reforms in education. The following possible trends in the integration of generative artificial intelligence into education are predicted: gradual change in the paradigm of education towards creativity-oriented education; increase of the share and scope of using artificial intelligence technologies in education; formation of new legal and ethical standards governing the use of generative artificial intelligence in education; increasing the importance and changing the role of the lecturer.Conclusions. Generative artificial intelligence has all the potential for solving long-term tasks of developing education. However, rapid technological development is inevitably associated with numerous risks, which require the creation of a methodology for using generative artificial intelligence in education, improvement of regulatory framework and solution of ethical problems. A new qualitative level of integration of a human being and artificial intelligence in the educational sphere is the thing of the future. Such integration will contribute to improving the quality of human capital in line with rapidly developing technologies of 5.0 Industrial Revolution.
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来源期刊
Open Education Studies
Open Education Studies Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
19
审稿时长
27 weeks
期刊最新文献
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