Teaching web scraping with AI: a library workshop for non-tech researchers
VALA2024 POSTER SESSION 07
Wednesday 10th July 2024, 1.15-1.30pm
Aster Zhao
- Research Support Librarian
- Hong Kong University of Science and Technology
Presentation: (coming soon)
Link
Abstract
Web scraping is a useful technique for researchers to quickly extract data from the web. However, it can be a hurdle for those with limited programming skills. Librarians can help researchers bridge the gap by providing workshops that leverage no-code tools and AI-assisted coding. This poster presents the design process of a web scraping workshop aimed at non-technical researchers, detailing the tools used, such as Power Query, Web Scraper, Constellate, and ChatGPT, along with the outcome and feedback received from participants.
Biography
Aster Zhao is a passionate research support and engineering librarian at the Hong Kong University of Science and Technology. She takes great pleasure in collaborating with faculty and students to support their academic pursuits. Her enthusiasm for teaching is evident when she shares new insights and tools with students, fostering their growth and development. With a strong interest in emerging trends, she actively explores topics like open science, AI literacy, and bibliometrics to enhance the library’s services and support the university community in navigating the landscape of academic research.
This work is licensed under Attribution-NonCommercial-NoDerivs 4.0 International.