扩展UTAUT模型,使用交互式可视化分析虚拟助手建议的接受程度

S. Valtolina, Ricardo Anibal Matamoros Aragon, Elia Musiu, F. Epifania, Mattia Villa
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引用次数: 1

摘要

使用学习对象(LOs)创建数字课程已被学习战略家和从事电子学习领域的教师广泛提倡。将大块学习材料结合起来以满足复杂的教育要求的能力仍然是一个挑战。本文探讨了学习助理为教师提供在线学习模块建议的理念。基于人工智能的数字助理可以提供重要的机会,但也可能被视为一种威胁。本文介绍了教师如何感知虚拟助手更值得信赖,当它应用交互式视觉策略。为了分析教师对数字助理的接受程度,我们的建议旨在扩展技术接受与使用的统一理论(UTAUT)模型,以纳入三个新的构建因素:可沟通性、感知信任和经验。为此,14名教师参与了一次用户测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extended UTAUT model to analyze the acceptance of virtual assistant’s recommendations using interactive visualisations
The use of learning objects (LOs) to create digital courses has been widely advocated by learning strategists and by teachers engaged in the e-learning domain. The ability to combine chunks of learning material as to meet complex educational requirements is still a challenge. This paper explores the idea that a learning assistant advises teachers about the e-learning modules to take into account for their courses. An AI-based digital assistant can provide significant opportunities, but might be perceived as a threat. The paper presents how teacher could perceive a virtual assistant as more trustworthy when it applies interactive visual strategies. To analyze teachers’ acceptance of the digital assistant, our proposal aims at extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model in order to incorporate three new constructors: Communicability, perceived trust and experience. To this end, 14 teachers have been involved in a user tests.
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