Presentation Schedule
Revealing PISA Research Trends: A Bibliometric Analysis from 2000 to 2024 (85568)
Session Chair: Astrid Schmied
Wednesday, 27 November 2024 17:35
Session: Session 5
Room: Room 708 (7F)
Presentation Type: Oral Presentation
With the release of the latest results from the Programme for International Student Assessment (PISA 2022), analyzing past research trends and hotspots on PISA helps us better analyze and apply the new data, ultimately promoting global education development. This study uses bibliometric analysis, leveraging the Web of Science database with the search terms "Programme for International Student Assessment" and "PISA", covering the period from 2000 to 2024, and includes 628 journal articles. CiteSpace software was used to visualize the data and create scientific knowledge maps.
The results show that the USA, China, Germany, the UK, and Australia have significant influence in PISA research, with key institutions including the University of London, University College London, Institute of Education, and Beijing Normal University. Current major research directions include student achievement, socioeconomic composition, affective characteristics, growth mindset, and high motivation. Research hotspots are academic achievement, motivation, and educational engagement, while emerging topics include scientific literacy, achievement, schools, engagement, culture, and ICT use. Future research should explore PISA's multifaceted impacts, particularly in digital education and socioeconomic disparities. This study offers a comprehensive overview of PISA research, providing valuable insights for educators, policymakers, and researchers to enhance global educational equity and performance.
Authors:
Yurou Song, National Tsing Hua University, Taiwan
Chuan-Chung Hsieh, National Tsing Hua University, Taiwan
About the Presenter(s)
Song Yurou. Doctoral student in the Department of Education and Learning Technology at National Tsing Hua University.
See this presentation on the full schedule – Wednesday Schedule
Comments
Powered by WP LinkPress