Xiaoyi Tian

Ph.D. Student, Human-Centered Computing, University of Florida
tianx@ufl.edu

Xiaoyi Tian is a Ph.D. student advised by Dr. Kristy Boyer. Her research interests include artificial intelligence in education, multimodal learning analytics and human-computer interaction. Through her research, Xiaoyi aims to design social and collaborative learning environments to improve student motivation and provide personalized learning experiences. In the LearnDialogue group, she is part of the Camp DIALOGS project and is working on modeling learner’s collaboration behaviors and learning performances using multimodal data streams (facial expression, speech, etc).

Personal Website: https://txiaoyi.com/

education

Ph.D., Human-Centered Computing (Expected 2025)
   University of Florida

M.S., Information Science (2020)
   University of Pittsburgh

B.Mgmt., Management Science (2018)
   Anhui University, China

publications

journal articles
2021
[1]Let's Talk It Out: A Chatbot for Effective Study Habit Behavioral Change. Xiaoyi Tian, Zak Risha, Ishrat Ahmed, Arun Balajiee Lekshmi Narayanan, Jacob Biehl. Proceedings of the ACM on Human-Computer Interaction (HCI), vol. 5 no. CSCW1, 2021. [bib]
conference papers
2023
[6]AI Made By Youth: A Conversational AI Curriculum for Middle School Summer Camps. Yukyeong Song, Gloria Ashiya Katuka, Joanne Barrett, Xiaoyi Tian, Amit Kumar, Tom McKlin, Mehmet Celepkolu, Kristy Elizabeth Boyer, Maya Israel. Proceedings of the 37TH AAAI Conference on Artificial Intelligence, 2023, pp. To appear. [bib]
[5]A Summer Camp Experience to Engage Middle School Learners in AI through Conversational App Development. Gloria Ashiya Katuka, Yvonika Auguste, Yukyeong Song, Xiaoyi Tian, Amit Kumar, Mehmet Celepkolu, Kristy Elizabeth Boyer, Joanne Barrett, Maya Israel, Tom McKlin. Proceedings of the 54th ACM Technical Symposium on Computer Science Education, 2023, pp. To appear. [bib]
2022
[4]Early Design of a Conversational AI Development Platform for Middle Schoolers. Amit Kumar, Xiaoyi Tian, Mehmet Celepkolu, Maya Israel, Kristy Elizabeth Boyer. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2022, pp. 1-3. [bib] [doi]
2021
[3]Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science. Xiaoyi Tian, Joseph B. Wiggins, Fahmid Morshed Fahid, Andrew Emerson, Dolly Bounajim, Andy Smith, Kristy Elizabeth Boyer, Eric Wiebe, Bradford Mott, James Lester. Proceedings of the International Conference on Artificial Intelligence in Education, 2021, pp. 355-360. [bib]
[2]Progression Trajectory-Based Student Modeling for Novice Block-Based Programming. Fahmid Morshed Fahid, Xiaoyi Tian, Andrew Emerson, Joseph B. Wiggins, Dolly Bounajim, Andy Smith, Eric Wiebe, Bradford Mott, Kristy Elizabeth Boyer, James Lester. Proceedings of the 29th Conference on User Modeling Adaptation and Personalization (UMAP), 2021, pp. 189-200. [bib]
[1]Applying Cognitive Load Theory to Examine STEM Undergraduate Students’ Experiences in An Adaptive Learning Environment: A Mixed-Methods Study. Dolly Bounajim, Arif Rachmatullah, Madeline Hinckle, James Lester, Bradford Mott, Andy Smith, Andrew Emerson, Fahmid Fahid, Xiaoyi Tian, Joseph Wiggins, Kristy Elizabeth Boyer, Eric Wiebe. In the Proceedings of 65th International Annual Meeting on Human Factors and Ergonomics Society (HFES), 2021, pp. 556-560. [bib]