Artificial intelligence and learning environment: Human considerations

IF 5.1 2区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Journal of Computer Assisted Learning Pub Date : 2024-05-21 DOI:10.1111/jcal.13011

Esmaeil Jafari

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引用次数: 0

Abstract

Background

Artificial intelligence (AI) has created new opportunities, challenges, and potentials in teaching; however, issues related to the philosophy of using AI technology in learners' learning have not been addressed and have caused some issues and concerns. This issue is due to the research gap in addressing issues related to ethical and human needs, and even values in AI in learning have become more obvious.

Objectives

This study investigates how human-centered artificial intelligence (HAI) can help learners in a learning environment. In this regard, this article by developing key considerations of HAI in helping students tries to help implement or shift it in the future in learning environments.

Methods

To better understand the key considerations of HAI, qualitative methods and interview techniques were applied in this study. In this regard, 18 samples were interviewed from two groups of experts and faculty members in the fields of technology and computer science and social and humanities sciences. The thematic content analysis method was used to analyse qualitative data.

Results and Conclusions

The results show that AI attempts to integrate ethical and human values in the process of design, development, and research in the fields of recognising and dealing with negative emotions, targeted emotional nature, and access to fairness and justice. It also shows significant promise in understanding feelings and emotions in a learning environment.

Implications

Although AI has been studied in other contexts, HAI has not attracted much attention from researchers. Hence, this study has made worthwhile contributions to the literature as it has specifically focused on HAI in education. In addition, it can resolve some scientific community considerations regarding technological concerns in the field of AI. Furthermore, this article can increase social satisfaction with the use of AI by considering ethical considerations in the learning environment and can particularly benefit researchers, educators, and AI specialists who are involved in the study of HAI applications.

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人工智能和学习环境：人的因素

人工智能（AI）为教学带来了新的机遇、挑战和潜力；然而，在学习者的学习中使用人工智能技术的相关理念问题尚未得到解决，并引发了一些问题和担忧。这一问题是由于在解决与伦理和人类需求相关的问题方面存在研究空白，甚至人工智能在学习中的价值取向也变得更加明显。本研究探讨了以人为本的人工智能（HAI）如何在学习环境中帮助学习者。为了更好地理解人工智能的关键因素，本研究采用了定性方法和访谈技术。为此，研究人员从技术和计算机科学领域以及社会和人文科学领域的两组专家和教师中抽取了 18 个样本进行访谈。研究结果表明，人工智能在设计、开发和研究过程中，在识别和处理负面情绪、有针对性的情感本质以及获得公平和正义等领域，尝试将伦理和人类价值观融入其中。虽然人工智能已在其他背景下得到研究，但人工智能尚未引起研究人员的广泛关注。因此，本研究特别关注教育领域的 HAI，为文献做出了有价值的贡献。此外，它还能解决科学界对人工智能领域技术问题的一些考虑。此外，这篇文章通过考虑学习环境中的伦理因素，可以提高社会对人工智能使用的满意度，尤其可以使参与人机交互应用研究的研究人员、教育工作者和人工智能专家受益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computer Assisted Learning EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

9.70

自引率

6.00%

发文量

116

期刊介绍： The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope