Hello! I use data to understand, model, predict and improve human learning. I deliver data-driven, actionable insights in various educational technologies. While pursuing a Ph.D. degree at NC State, I authored several journal and conference publications, including best student paper nominees at the International Conferences on Artificial Intelligence in Education, and Educational Data Mining. I am the winner of NC State Computer Science Department's Outstanding Research Award in 2018.
Zhongxiu Peddycord-Liu, Veronica Catete, Jessica Vandenberg, Tiffany Barnes, Collin Lynch, Teomara Rutherford. (2019). A Teacher-focused Field Study to Investigate the Practical Gaps in the Design and Use of a Curriculum-integrated Educational Game. ACM CHI Conference on Human Factors in Computing Systems (CHI). Glasgow, UK. (full paper, upcoming)(23.8% acceptance rate)
Zhongxiu Peddycord-Liu, Rachel Harred, Sarah Karamarkovich, Tiffany Barnes, Collin Lynch, Teomara Rutherford. (2018). Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where is Learning Support Needed?. International Conference on Artificial Intelligence in Education (AIED). London, UK. (full paper)(25% acceptance rate) (Best Student Paper Nominee)
Zhongxiu Peddycord-Liu, Christa Cody, Sarah Karamarkovich, Tiffany Barnes, Collin Lynch, Teomara Rutherford. (2017). Using Serious Game Analytics to Inform Digital Curricular Sequencing: What Math Objective Should Students Play Next? ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI-PLAY), Amsterdam, the Netherlands.(full paper)(25.2% acceptance rate; 45/178 full papers)
Thomas Price, Zhongxiu Liu, Veronica Catete, Tiffany Barnes. (2017). Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors ICER, Tacoma, WA, USA. (27% acceptance rate; 29/108 full papers)
Zhongxiu Liu, Christa Cody, Tiffany Barnes, Collin Lynch, Teomara Rutherford. (2017). The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It? International Conference on Educational Data Mining (EDM), Wuhan, China. (full paper)
Zhongxiu Liu, Rui Zhi, Andrew Hicks, Tiffany Barnes (2017). Understanding Problem Solving Behavior of 6-8 Graders in a Debugging Game. Computer Science Education. 27:1, 1-29. Taylor and Francis, UK. DOI: 10.1080/08993408.2017.1308651. [Pre-print pdf]
Zhongxiu Liu, Rebecca Brown, Collin Lynch, Tiffany Barnes, Ryan Baker, Yoav Bergner and Danielle Mcnamara. (2016). MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis. International Conference on Educational Data Mining (EDM), Raleigh, NC. (full paper) (27.5% acceptance rate; 30/105 full papers) [pptx]
Andrew Hicks, Zhongxiu Liu, and Tiffany Barnes. (2016). Measuring Gameplay Affordances of User-Generated Content in an Educational Game. International Conference on Educational Data Mining (EDM), Raleigh, NC. (full paper) (27.5% acceptance rate; 30/105 full papers) [pptx](Best Student Paper Nominee)
Zhongxiu Liu, Behrooz Mostafavi, and Tiffany Barnes. (2016). Combining Worked Examples and Problem Solving in a Data-driven Logic Tutor. International Conference on Intelligent Tutoring Systems (ITS). Zagreb, Croatia. (short paper) [pptx]
Zhongxiu Liu, Pataranutaporn, V., Ocumpaugh, J., Baker, R.S.J.d. (2013). Sequences of Frustration and Confusion, and Learning>. International Conference on Educational Data Mining (EDM). Memphis, USA. (full paper)
Zhongxiu Liu, Zhang, Y., Kornai, A., Sarkozy, G. (2013). Automated Building of Sentence-Level Parallel Corpus and Chinese-Hungarian Dictionary. Technical Report MQP-CDR-GXS1301, Worcester Polytechnic Institute. Worcester, MA, USA.