Identifying Best Practices for Teaching Machine Learning

确定机器学习教学的最佳实践

• 批准号: 2137136
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2137136
• 关键词: Identifying; Best; Practices; Teaching; Machine

There is currently a distinct shortage of individuals skilled in machine learning to fill the increasing demand within the job market. To counteract this issue the Higher Education (HE) sector are offering more courses in machine learning and Artificial Intelligence (AI). However, there is a lack of research pertaining to best practices for teaching in this complex domain. This research aims to identify the threshold concepts within the topic of machine learning and AI along with identifying if two perceived cognitive barriers of maths anxiety and low self-efficacy hold true. We achieve this through the use of qualitative research methods such as questionnaires and observations. Counteracting strategies will be developed based on the analysis of the qualitative research. The outcome of this study will be creation of an online learning tool encompassing methods to alleviate the barriers students face when undertaking a machine learning or AI course.

目前，为了满足就业市场日益增长的需求，具备机器学习技能的个人明显短缺。为了应对这个问题，高等教育(HE)部门正在开设更多机器学习和人工智能(AI)课程。然而，关于这一复杂领域的教学最佳做法的研究还很匮乏。本研究旨在确定机器学习和人工智能主题中的阈值概念，并确定数学焦虑和低自我效能感这两个感知认知障碍是否成立。我们通过使用问卷和观察等定性研究方法来实现这一点。在定性研究分析的基础上，制定应对策略。这项研究的结果将是创建一个包含各种方法的在线学习工具，以减轻学生在进行机器学习或人工智能课程时面临的障碍。

项目成果

Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience

建立向高等教育受众教授人工智能的框架

• DOI: 10.1145/3485062
• 发表时间: 2021
• 期刊: ACM Transactions on Computing Education
• 影响因子: 2.4
• 作者: Allen B

Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses

使用一分钟论文深入了解人工智能课程中的潜在阈值概念

• DOI: 10.1145/3437914.3437974
• 发表时间: 2021
• 作者: Allen B