Yingbo Ma

Ph.D. Candidate, Computer Science, University of Florida
yingbo.ma@ufl.edu

Yingbo is a senior Computer Science Ph.D. student in the Department of Computer & Information Science & Engineering at the University of Florida. His broad research interests include speech processing, natural language processing, and multimodal machine learning. Under the supervision of Dr. Kristy Boyer, his research work focuses on how multimodal data mining can empower intelligent systems to understand human learning and support collaboration. He designs and applies multimodal data mining and machine learning to understand students’ dynamic learning processes in classrooms by analyzing their collaborative dialogues, speech, facial expressions, and gestures. Yingbo also engages in interdisciplinary collaboration with researchers and educators to develop intelligent systems that support collaborative learning in computer science. Apart from research, Yingbo has served as sub-reviewer for multiple international conferences, including as the International Conference on Educational Data Mining (EDM), International Conference on Learning Analytics and Knowledge (LAK), and AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI). In Spring 2023, he is serving as instructor for undergraduate course CIS 4930: Intro to Multimodal Machine Learning in Python.

education

Ph.D., Computer Science (Expected 2024)
   University of Florida

M.E., Signal and Information Processing (2019)
   Northwestern Polytechnical University (Xi'an, China)

B.E., Electrical Engineering (2016)
   Northwestern Polytechnical University (Xi'an, China)

publications

journal articles
2024
[2]Investigating the Relationship between Math Literacy and Linguistic Synchrony in Online Mathematical Discussions through Large Scale Data Analytics. Yukyeong Song, Wanli Xing, Chenglu Li, Xiaoyi Tian, Yingbo Ma. British Journal of Educational Technology, 2024, pp. To appear. [bib]
2023
[1]Automatically Predicting Peer Satisfaction During Collaborative Learning with Linguistic, Acoustic, and Visual Features. Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer. Journal of Educational Data Mining, 2023, pp. 86-122. [bib] [doi]
conference papers
2023
[6]How Noisy is Too Noisy? The Impact of Data Noise on Multimodal Recognition of Confusion and Conflict During Collaborative Learning. Yingbo Ma, Mehmet Celepkolu, Kristy Elizabeth Boyer, Eric Wiebe, Collin F. Lynch, Maya Israel. Proceedings of the 25th ACM International Conference on Multimodal Interaction (ICMI23), 2023, pp. 326-335. [bib]
2022
[5]Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School. Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer. Proceedings of the 15th International Conference on Educational Data Mining (EDM22), 2022, pp. 133-144. [bib] [doi]
[4]Detecting Impasse During Collaborative Problem Solving with Multimodal Learning Analytics. Yingbo Ma, Mehmet Celepkolu, Kristy Elizabeth Boyer. Proceedings of the 12th International Learning Analytics and Knowledge Conference (LAK22), 2022, pp. 45-55. [bib] [doi]
[3]It’s Challenging but Doable: Lessons Learned from a Remote Collaborative Coding Camp for Elementary Students. Yingbo Ma, Julianna Martinez Ruiz, Timothy D. Brown, Kiana-Alize Diaz, Adam M. Gaweda, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric Wiebe. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE), 2022, pp. 342-348. [bib] [doi]
[2]Building the Dream Team: Children's Reactions to Virtual Agents That Model Collaborative Talk. Joseph B Wiggins, Toni V Earle-Randell, Dolly Bounajim, Yingbo Ma, Julianna Martinez Ruiz, Ruohan Liu, Mehmet Celepkolu, Maya Israel, Eric Wiebe, Collin F Lynch, Kristy Elizabeth Boyer. Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents, 2022, pp. 1-8. [bib] [doi]
2021
[1]The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students’ Collaborative Dialogue. Yingbo Ma, Joseph B. Wiggins, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin Lynch, Eric Wiebe. Proceedings of the 22nd International Conference on Artificial Intelligence in Education, 2021, pp. 268-281. [bib] [doi]