1. Wanli,XING, Bo,PEI,Charles,XIE.(2018). Xing, W., Pei, B., Li, S., Chen, G., & Xie, C. (2019). Using learning analytics to support students’ engineering design: the angle of prediction. Interactive Learning Environments, 1-18.[Link]
  2. Bo, PEI, Wanli, XING, Hee-Sun, LEE. (2018). Using automatic image processing to analyze visual artifacts created by students in scientific argumentation. British Journal of Educational Technology50(6), 3391-3404.[Link]
  3. Bo, PEI, Wanli, XING, Sharon OVIATT, Feng, LIN. (2018). Understanding gestures in collaborative problem solving through video analytics. Computer & Education.(under review)
  4. HengTao, Tang, Wanli, XING, Bo, PEI. (2018).Exploring the temporal dimension of forum participation in MOOCs. Distance Education39(3), 353-372. [Link]
  5. HengTao, Tang, Wanli, XING, Bo, PEI. (2018). Time really matters: Understanding the temporal dimension of online learning using educational data mining. Journal of Educational Computing Research57(5), 1326-1347. [Link]
  • Analyzing the associations between the learning motivations and outcomes in online learning settings from a quantitative perspective,2020, AECT, Jacksonville, Florida, Nov.
  • Students Online Learning Performance Prediction based on the Recurrent Neural Network Inferred Logistic Regression,2020, AECT, Jacksonville, Florida, Nov.
  • Identifying the At-risk Students Based on Recurrent Neural Network Informed Logistic Regression Model(Accepted), 2020, AERA, San Francisco, California, April 17-21
  • Quantifying the Effect of Emotional Contagion on Learner Commitment in Massive Open Online Courses (Accepted), 2020, AERA, San Francisco, California, April 17-21
  • Student Performance Prediction in Engineering Design (Accepted), 2020, AERA, San Francisco, California, April 17-21
  • Understanding the Role of Gestures in Collaborative Learning Using Automatically Video Processing Approach,2019, AECT, Las Vegas, USA, Oct. 21-25
  • Understanding Visual Artifacts Using Image Analytics in Students’ Scientific Argumentation,2019 AERA, Toronto, Canada, April 5-9
  • DELT-Image-based Learning Analytics in Science Learning, 2018 AECT International Convention, Kansas City Marriott Downtown, Oct. 23-27,2018
  • Featured Research-Quantifying the Effect of Achievement Emotions on Student’s Survival in Discussion Forums of MOOCs,2018 AECT International Convention,Kansas City Marriott Downtown, Oct. 23-27,2018
  • A Model to Analyze Factors Related to Learning Achievements in MOOCs. EGSO. Texas Tech University, April 2018
  • The Dynamic Scheduling Algorithm based on Human-Computer Interactive in the Hadoop Platform, The 10th Joint Conference on Harmonious Human Machine Environment (HHME 2014), Beijing, Sep.13-14, 2014
  • A cloud scheduling strategy based on the combination of Fuzzy Quotient Space Cluster and an Improved Genetic Algorithm, 2013 Seminar on Soft Computing (SSC2013), Dalian, Dec. 25-26, 2013