High School Teachers’ Adoption of Generative AI

E. Elstad, Harald Eriksen
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Abstract

In 2023, the breakthrough of generative artificial intelligence (AI) led to its adoption. While some teachers expressed frustration over pupil misuse of generative AI, others advocated for the availability of a school-relevant chatbot for pupil use. In October 2023, a local chatbot intended to meet that goal was launched by Oslo Municipality. After six weeks, an investigation was conducted to examine how 246 teachers perceived the opportunities and limitations of this new technology. The examination used structural equation modelling to explore antecedents of instructional AI utility. The analysis shows that the pathway between instructional self-efficacy and AI utility has the highest positively charged value, while the pathways between management and AI utility have low numerical value. This last finding can be interpreted as the influence of untapped management potential and must be seen in the context of the fact that no guidelines for the use of AI in schools existed when the survey was conducted. In addition, the pathway between colleague discussion and AI utility has relatively low numerical values. The potential for learning through discussion among colleagues can be utilized to an even greater degree. The pathway between management and colleague discussion is remarkable. Implications are discussed.
高中教师采用生成式人工智能的情况
2023 年,生成式人工智能(AI)取得了突破性进展。一些教师对学生滥用生成式人工智能表示不满,另一些教师则主张提供与学校相关的聊天机器人供学生使用。2023 年 10 月,奥斯陆市政府推出了一个本地聊天机器人,旨在实现这一目标。六周后,进行了一项调查,研究 246 名教师如何看待这项新技术的机遇和局限性。研究采用结构方程模型来探索人工智能教学效用的前因。分析表明,教学自我效能感与人工智能效用之间的路径具有最高的正电荷值,而管理与人工智能效用之间的路径数值较低。最后一个发现可以解释为管理潜力尚未开发的影响,而且必须结合调查时学校还没有使用人工智能的指导方针这一事实来看待。此外,同事讨论与人工智能效用之间的路径数值相对较低。通过同事讨论学习的潜力可以得到更大程度的利用。管理与同事讨论之间的路径非常重要。讨论的意义
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