Teaching Method for Non-technical Adult Learners to Gain an Authentic Understanding of AI within a Day

Keisuke Seya, Nobuyuki Kobayashi, S. Shirasaka
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Abstract

This study proposes and evaluates an effective teaching method for non-technical adults who want to gain an authentic understanding of artificial intelligence (AI) within a short time budget. Recent studies have revealed the existence of non-technical business professionals who want to improve their participation in technical discussions and identified their needs for learning technologies effectively using real programming tools. The proposed teaching method utilizes the story aligned with the history of AI, visual feedback, and agile practices to overcome the challenges the non-technical adults face. In this study, we evaluated the effectiveness of the proposed teaching method by the open coding method and by the paired t-test over the responses to the questions based on the expectancy-value theory before and after the lecture. We found that this teaching method effectively supported the learners to understand the core technical concepts of AI using authentic tools within a day. We also confirmed that the non-technical adult learners had significantly changed their attitude from initially negative to positive in terms of expected success and value in understanding AI, which is one of the essential outcomes for the learners as they predict the learner’s performance on understanding AI in the future.
让非技术成人学习者在一天内真正了解人工智能的教学方法
本研究为希望在短时间内获得对人工智能(AI)的真实理解的非技术成人提出并评估了一种有效的教学方法。最近的研究表明,存在非技术业务专业人员,他们希望提高技术讨论的参与度,并确定他们需要使用真正的编程工具有效地学习技术。建议的教学方法利用与人工智能历史、视觉反馈和敏捷实践相结合的故事来克服非技术成年人面临的挑战。在本研究中,我们通过开放编码法和配对t检验对基于期望值理论的问题在讲座前后的回答进行了有效性评估。我们发现这种教学方法可以有效地支持学习者在一天内使用真实的工具理解AI的核心技术概念。我们还证实,在理解人工智能的预期成功和价值方面,非技术成人学习者的态度从最初的消极转变为积极,这是学习者预测学习者未来理解人工智能的表现时的重要结果之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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