学习者与人工智能交互感知量表的开发与验证

IF 4.8 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Education and Information Technologies Pub Date : 2024-08-31 DOI:10.1007/s10639-024-12963-x
Feifei Wang, Alan C. K. Cheung, Ching Sing Chai, Jin Liu
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引用次数: 0

摘要

学习者在传统学习环境中与教师或同伴学习者互动时能够感知到互动性,同样,学习者在人工智能支持的学习环境中与人工智能(AI)互动时也能够感知到互动性。人工智能的进步,如包括 ChatGPT 和 Midjourney 在内的生成式人工智能,增强了学习者感知到的互动性,从而通过人工智能支持的互动促进了学习。然而,教育领域还没有一个量表来测量学习者与人工智能交互的感知交互性。本研究开发了一个 17 个项目的量表,从响应性、个性化、学习者控制和学习参与四个维度评估学习者对人工智能交互性的感知程度。第一次应用的样本组包括 422 名中国大学生,第二次应用的样本组包括 306 名大学生。探索性因子分析和确认性因子分析均验证了量表的因子结构。整个量表的 Cronbach's alpha 值为 0.948,而四个维度的 Cronbach's alpha 值介于 0.820 和 0.915 之间。结果表明,该量表是一个可靠有效的工具。本研究还发现,学习者与人工智能交互的感知交互性与人工智能工具、学习者在学习中使用人工智能的行为意向、在学习中使用人工智能的月数、每次在学习中使用人工智能的平均持续时间显著相关,而与年龄、性别、教育水平和教育领域无关。最后,讨论了理论和实践意义。
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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Development and validation of the perceived interactivity of learner-AI interaction scale

As learners are able to perceive interactivity when interacting with instructors or peer learners in traditional learning environments, learners are similarly able to perceive interactivity when interacting with artificial intelligence (AI) in AI-supported learning environments. Advancements in AI, such as generative AI including ChatGPT and Midjourney, enhance learners’ perceived interactivity, thereby facilitating learning through AI-enabled interaction. However, there is no scale in education for measuring perceived interactivity of learner-AI interaction. This study develops a 17-item scale to assess the extent to which a learner perceives interactivity with AI from four dimensions: responsiveness, personalization, learner control, and learning engagement. The sample group included 422 Chinese university students for the first application and 306 university students for the second application. Both the exploratory factor analysis and the confirmatory factor analysis verified the factor structure of the scale. The Cronbach’s alpha value for the whole scale was 0.948, whereas the Cronbach’s alpha values for the four dimensions ranged between 0.820 and 0.915. Results suggested that this scale was a reliable and valid instrument. This study also found that perceived interactivity of learner-AI interaction was significantly associated with AI tools, learners’ behavioral intentions to use AI in learning, months of using AI in learning, and average duration of using AI in learning each time, and not associated with ages, genders, education levels, and fields of education. Finally, theoretical and practical implications are discussed.

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来源期刊
Education and Information Technologies
Education and Information Technologies EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
10.00
自引率
12.70%
发文量
610
期刊介绍: The Journal of Education and Information Technologies (EAIT) is a platform for the range of debates and issues in the field of Computing Education as well as the many uses of information and communication technology (ICT) across many educational subjects and sectors. It probes the use of computing to improve education and learning in a variety of settings, platforms and environments. The journal aims to provide perspectives at all levels, from the micro level of specific pedagogical approaches in Computing Education and applications or instances of use in classrooms, to macro concerns of national policies and major projects; from pre-school classes to adults in tertiary institutions; from teachers and administrators to researchers and designers; from institutions to online and lifelong learning. The journal is embedded in the research and practice of professionals within the contemporary global context and its breadth and scope encourage debate on fundamental issues at all levels and from different research paradigms and learning theories. The journal does not proselytize on behalf of the technologies (whether they be mobile, desktop, interactive, virtual, games-based or learning management systems) but rather provokes debate on all the complex relationships within and between computing and education, whether they are in informal or formal settings. It probes state of the art technologies in Computing Education and it also considers the design and evaluation of digital educational artefacts.  The journal aims to maintain and expand its international standing by careful selection on merit of the papers submitted, thus providing a credible ongoing forum for debate and scholarly discourse. Special Issues are occasionally published to cover particular issues in depth. EAIT invites readers to submit papers that draw inferences, probe theory and create new knowledge that informs practice, policy and scholarship. Readers are also invited to comment and reflect upon the argument and opinions published. EAIT is the official journal of the Technical Committee on Education of the International Federation for Information Processing (IFIP) in partnership with UNESCO.
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