Development of an Artificial Intelligence Teaching Assistant System for Undergraduate Nursing Students: A Field Testing Study.

IF 1.3 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yanika Kowitlawakul, Jocelyn Jie Min Tan, Siriwan Suebnukarn, Hoang D Nguyen, Danny Chiang Choon Poo, Joseph Chai, Devi M Kamala, Wenru Wang
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引用次数: 0

Abstract

Keeping students engaged and motivated during online or class discussion may be challenging. Artificial intelligence has potential to facilitate active learning by enhancing student engagement, motivation, and learning outcomes. The purpose of this study was to develop, test usability of, and explore undergraduate nursing students' perceptions toward the Artificial Intelligence-Teaching Assistant System. The system was developed based on three main components: machine tutor intelligence, a graphical user interface, and a communication connector. They were included in the system to support contextual machine tutoring. A field-testing study design, a mixed-method approach, was utilized with questionnaires and focus group interview. Twenty-one undergraduate nursing students participated in this study, and they interacted with the system for 2 hours following the required activity checklist. The students completed the validated usability questionnaires and then participated in the focus group interview. Descriptive statistics were used to analyze quantitative data, and thematic analysis was used to analyze qualitative data from the focus group interviews. The results showed that the Artificial Intelligence-Teaching Assistant System was user-friendly. Four main themes emerged, namely, functionality, feasibility, artificial unintelligence, and suggested learning modality. However, Artificial Intelligence-Teaching Assistant System functions, user interface, and content can be improved before full implementation.

护理本科生人工智能助教系统的开发:实地测试研究。
在网上或课堂讨论中保持学生的参与度和积极性可能具有挑战性。人工智能有可能通过提高学生的参与度、积极性和学习效果来促进主动学习。本研究旨在开发和测试人工智能助教系统的可用性,并探讨护理专业本科生对该系统的看法。该系统的开发基于三个主要组成部分:机器智能辅导、图形用户界面和通信连接器。系统中包含这些组件是为了支持情境机器辅导。该系统采用了实地测试研究设计、混合方法、问卷调查和焦点小组访谈。21 名护理专业本科生参与了这项研究,他们按照规定的活动清单与系统进行了 2 个小时的互动。学生们填写了经过验证的可用性问卷,然后参加了焦点小组访谈。描述性统计用于分析定量数据,主题分析用于分析焦点小组访谈的定性数据。结果表明,人工智能助教系统对用户友好。出现了四大主题,即功能性、可行性、人工非智能性和建议的学习模式。然而,人工智能助教系统的功能、用户界面和内容在全面实施前还有待改进。
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来源期刊
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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