人工智能(AI):尼日利亚大学在教育评估中对人工智能技术的认识和利用

Abdul-Wahab Ibrahim, Ali Abdullahi Taura, A. Iliyasu, Yusuf Olayinka Shogbesan, Shehu Adaramaja Lukman
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引用次数: 0

摘要

人工智能(AI)的普及使人们对其在尼日利亚大学教育评估中的作用产生了不同的看法和观点。本研究确定了学术诚信和创新评估问题是否会影响大学教师如何在教育评估中使用各种人工智能工具。本研究还调查了大学教师对使用人工智能工具的看法是否可能与他们在尼日利亚大学个性化使用人工智能的倾向有关。研究采用了推论式研究设计。研究对象包括 3,083 名大学教师,其中随机抽取了 322 名来自公立和私立大学的教授、副教授和高级讲师作为样本。研究工具是一份名为 "大学教师对人工智能的认知和使用情况问卷(UTPUAIQ)"的 4 点量表问卷。数据分析采用独立 t 检验、皮尔逊乘积矩相关和奇偶校验统计,百分位数分析采用简单的百分比统计程序。结果表明,学术诚信问题对大学教师如何看待人工智能在评估中的应用有影响;对大学创新评估问题的看法会显著影响大学教师如何在教育评估中使用多样化的人工智能工具;大学教师对使用人工智能工具的看法可能与他们在大学个性化使用人工智能的倾向有关。结论是,在教育评估中使用人工智能本身并无害处,但在尼日利亚的大学将其用于学生评估时,必须降低其中的潜在风险。因此,有必要确保在尼日利亚大学的教育评估中以合乎道德、包容和公平的方式使用人工智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence (AI): Perception and Utilization of AI Technologies in Educational Assessment in Nigerian Universities
The ubiquity of Artificial Intelligence (AI) has generated different perceptions and views regarding its usefulness in conducting educational assessment in Nigerian universities. This study determined whether academic integrity and innovative assessment concerns affect how university teachers utilize diverse AI tools in educational assessment. It also investigated if university teachers’ perception of using AI tools is likely to be associated with their tendency to personalize AI use at universities in the country. The study adopted inferential research design. 3,083 university teachers comprised the population in the study, out of which the sample of 322 participants who are professors, associate professors, and senior lecturers from government and privately-owned universities, were randomly selected for the study. The instrument was a 4-point scale questionnaire titled: “University Teachers’ Perception and Utilization of AI Questionnaire (UTPUAIQ).” The data were analyzed using independent t-test, Pearson Product Moment Correlation and Chi-Square statistics, as percentile analysis was explored using simple percentage statistical procedure. The results revealed that academic integrity concerns have an influence on how university teachers perceive AI use in assessment; that perception for innovative assessment concerns at university significantly affects how university teachers utilize diverse AI tools in educational assessment; and that university teachers’ perception of using AI tools is likely to be associated with their tendency to personalize AI use at universities. It was concluded that AI use in educational assessment is in itself not harmful but the potential risks involved must be mitigated as it is deployed for use for students’ assessment at universities in Nigeria. Hence, there is a need to ensure the ethical, inclusive and equitable use of AI in educational assessment at universities in the country.
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