College of Computer and Information Systems, Umm Al-Qura University, Mecca, Saudi Arabia.
J Healthc Eng. 2021 Oct 25;2021:7197224. doi: 10.1155/2021/7197224. eCollection 2021.
During the COVID-19 pandemic, this study sought to determine the impact of AI-supported infographic templates (static versus animated) on academic achievement, visual thinking skills, and willingness to learn among a sample of university students. The researcher created two distinct AI-supported instructional infographic templates to determine the effect of such an independent variable on his three other primary dependent variables, namely, academic accomplishment, visual thinking skills, and willingness to learn, in order to meet his study goals. An achievement exam, a visual thinking test, and a willingness to learn scale were among the research methods used. The quasiexperimental method was used to provide the research instruments, and experimental therapy was used to a select group of students at Umm Al-Qura University. According to the findings, AI-assisted static and animated infographic templates had a favorable impact on the development of all learning aspects studied. AI-assisted animated infographics, on the other hand, had a more significant impact than AI-assisted static infographics. In light of this, the researcher concluded his research by making a number of recommendations and suggesting additional research, such as maximizing the use of AI emerging technologies and their practical application in an adaptive manner suitable for education.
在 COVID-19 大流行期间，本研究旨在确定人工智能支持的信息图模板（静态与动画）对大学生样本的学术成就、视觉思维技能和学习意愿的影响。研究人员创建了两个不同的人工智能支持的教学信息图模板，以确定这种自变量对他的其他三个主要因变量（即学术成就、视觉思维技能和学习意愿）的影响，从而实现他的研究目标。研究方法包括成就考试、视觉思维测试和学习意愿量表。准实验方法用于提供研究工具，实验疗法用于吉达的阿卜杜勒阿齐兹国王大学的一组学生。根据研究结果，人工智能辅助的静态和动画信息图模板对所研究的所有学习方面的发展都有积极的影响。然而，人工智能辅助的动画信息图比人工智能辅助的静态信息图产生了更显著的影响。鉴于此，研究人员在提出了一些建议并提出了进一步的研究，如最大限度地利用人工智能新兴技术，并以适合教育的自适应方式进行实际应用。
