Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
<|reference_start|>Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study: 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<|reference_end|>
@article{qu2024integrating,
    title={Integrating HCI Datasets in Project-Based Machine Learning Courses: A
  College-Level Review and Case Study},
    author={Xiaodong Qu, Matthew Key, Eric Luo and Chuhui Qiu},
    journal={International Conference on Human-Computer Interaction (HCII 2024)},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.03472},
    primaryClass={cs.LG cs.CY cs.HC}
}