Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866929451311300608 |
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| author | Qu, Xiaodong Key, Matthew Luo, Eric Qiu, Chuhui |
| author_facet | Qu, Xiaodong Key, Matthew Luo, Eric Qiu, Chuhui |
| contents | This study explores the integration of real-world machine learning (ML) projects using human-computer interfaces (HCI) datasets in college-level courses to enhance both teaching and learning experiences. Employing a comprehensive literature review, course websites analysis, and a detailed case study, the research identifies best practices for incorporating HCI datasets into project-based ML education. Key f indings demonstrate increased student engagement, motivation, and skill development through hands-on projects, while instructors benefit from effective tools for teaching complex concepts. The study also addresses challenges such as data complexity and resource allocation, offering recommendations for future improvements. These insights provide a valuable framework for educators aiming to bridge the gap between |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_03472 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study Qu, Xiaodong Key, Matthew Luo, Eric Qiu, Chuhui Machine Learning Computers and Society Human-Computer Interaction This study explores the integration of real-world machine learning (ML) projects using human-computer interfaces (HCI) datasets in college-level courses to enhance both teaching and learning experiences. Employing a comprehensive literature review, course websites analysis, and a detailed case study, the research identifies best practices for incorporating HCI datasets into project-based ML education. Key f indings demonstrate increased student engagement, motivation, and skill development through hands-on projects, while instructors benefit from effective tools for teaching complex concepts. The study also addresses challenges such as data complexity and resource allocation, offering recommendations for future improvements. These insights provide a valuable framework for educators aiming to bridge the gap between |
| title | Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study |
| topic | Machine Learning Computers and Society Human-Computer Interaction |
| url | https://arxiv.org/abs/2408.03472 |