Research in AI in Education, Educational Data Mining, Educational Data Visualization, HCI
I am currently an assistant professor in the Instructional Technology Program at College of Education at the University of South Florida, Tampa, USA. I do interdisciplinary research in Computer Science and Education, seeking how to support an inclusive and effective teaching and learning experience with AI teachnologies.
I am passionate about solving educational problems with data-driven approaches and telling educational stories engaging and effective visualization strategies. I investigate analytical models/approaches to better model students' learning processes within large-scale, heterogenous learning data to promote personalized learning. I also closely examine the ethical issues such as data privacy and security, algorithmic transparency, trustworthiness and fariness while applying the cutting-edge techniques like AI in educational settings to support decision-making processes.
An Interpretable Pipeline for Identifying At-Risk Students
Journal of Educational Computing Research
Pei, B., Xing, W.
Academic development of multimodal learning analytics: a bibliometric analysis
Interactive Learning Environments
Pei, B., Xing, W., Wang, M.
Using Automatic Image Processing to Analyze Visual Artifacts Created by Students in Scientific Argumentation
British Journal of Educational Technology
Pei, B., Xing, W., Lee, H. S.
Using learning analytics to support students’ engineering design: The angle of prediction
Interactive Learning Environments
Xing, W., Pei, B., Li, S., Chen, G., Xie, C.