Workshop: Benefits and Limitations: Machine Learning Applications in PISA Data Analysis

Benefits and Limitations: Machine Learning Applications in PISA Data Analysis

Prof. ZHAO Ningning

Associate Professor, Beijing Normal University

Date: March 26, 2024 (Tuesday)
Time: 13:00 – 15:00
Mode: Online mode by Zoom

Language: English

Registration:https://hku.zoom.us/meeting/register/tJIkduuhrz4pH9Sm3MXKkVA5TTEQnxHh9kLL#/registration

Abstract:

Machine Learning (ML) techniques have revolutionized various fields, demonstrating their effectiveness in applications such as data mining for the Programme for International Student Assessment (PISA). This workshop aims to delve into the benefits and limitations of ML methods. It will showcase the impact achieved through the fusion of ML and education while addressing the remaining challenges. Attendees will engage in running ML experiments using Python and participate in discussions to gain a comprehensive understanding of the subject. The workshop seeks to explore challenges, propose potential solutions, and chart future directions for Machine Learning in education.
 

About the speaker:

Ningning Zhao is a Professor in the Department of Chinese Language Educational Studies at Beijing Normal University. With expertise in educational assessment and research, she holds a Ph.D. in Curriculum and Instruction. Her research interests include curriculum development, instructional strategies, and quantitative analysis in social science. Professor Zhao has actively participated in various research projects, including textbook evaluation and education quality assessment. Her commitment to improving educational practices is evident through her diverse experiences and involvement in social work.
 

Inquiry: cacler@hku.hk