Yizhou Fan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Network Analysis

Linguistic Analysis

Top Venues

J. Comput. Assist. Learn.

Br. J. Educ. Technol.

Int. J. Artif. Intell. Educ.

Publications

Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Lyn Lim, Joep van der Graaf, Johanna D. Moore, Inge Molenaar, Maria Bannert, Alexander Whitelock-Wainwright, Dragan Gasevic
Towards prescriptive analytics of self-regulated learning strategies: A reinforcement learning approach. Br. J. Educ. Technol. 55 (4) (2024)
Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran
CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. LAK (2024)
John Saint, Yizhou Fan, Dragan Gasevic
Analytics of scaffold compliance for self-regulated learning. LAK (2024)
Hanyu Su, Yixin Tong, Xinyi Zhang, Yizhou Fan
Uncovering Students' Processing Tactics Towards ChatGPT's Feedback in EFL Education Using Learning Analytics. ICBL (2024)
Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic
Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing. LAK (2024)
Lyn Lim, Maria Bannert, Joep van der Graaf, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Inge Molenaar, Dragan Gasevic
How do students learn with real-time personalized scaffolds? Br. J. Educ. Technol. 55 (4) (2024)
Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic
Dissecting learning tactics in MOOC using ordered network analysis. J. Comput. Assist. Learn. 39 (1) (2023)
Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani, Dragan Gasevic
Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy. LAK (2023)
Tongguang Li, Jionghao Lin, Sehrish Iqbal, Zachari Swiecki, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic
Do Learners Appreciate Adaptivity? An Epistemic Network Analysis of How Learners Perceive Adaptive Scaffolding. ICQE (2023)
Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna Moore, Dragan Gasevic
Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning. Comput. Hum. Behav. 139 (2023)
Mladen Rakovic, Sehrish Iqbal, Tongguang Li, Yizhou Fan, Shaveen Singh, Surya Surendrannair, Jonathan Kilgour, Joep van der Graaf, Lyn Lim, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic
Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task. J. Comput. Assist. Learn. 39 (3) (2023)
Yizhou Fan, Mladen Rakovic, Joep van der Graaf, Lyn Lim, Shaveen Singh, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic
Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data. J. Comput. Assist. Learn. 39 (4) (2023)
John Saint, Yizhou Fan, Dragan Gasevic, Abelardo Pardo
Temporally-focused analytics of self-regulated learning: A systematic review of literature. Comput. Educ. Artif. Intell. 3 (2022)
Yizhou Fan, Jelena Jovanovic, John Saint, Yuhang Jiang, Qiong Wang, Dragan Gasevic
Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study. Comput. Educ. 178 (2022)
Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen
Measuring Inconsistency in Written Feedback: A Case Study in Politeness. AIED (1) (2022)
Mladen Rakovic, Yizhou Fan, Joep van der Graaf, Shaveen Singh, Jonathan Kilgour, Lyn Lim, Johanna Moore, Maria Bannert, Inge Molenaar, Dragan Gasevic
Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources. LAK (2022)
Namrata Srivastava, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Jelena Jovanovic, Joep van der Graaf, Lyn Lim, Surya Surendrannair, Jonathan Kilgour, Inge Molenaar, Maria Bannert, Johanna Moore, Dragan Gasevic
Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study. LAK (2022)
Joep van der Graaf, Lyn Lim, Yizhou Fan, Jonathan Kilgour, Johanna Moore, Maria Bannert, Dragan Gasevic, Inge Molenaar
Do Instrumentation Tools Capture Self-Regulated Learning? LAK (2021)
Yizhou Fan, Wannisa Matcha, Nora'Ayu Ahmad Uzir, Qiong Wang, Dragan Gasevic
Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning. Int. J. Artif. Intell. Educ. 31 (4) (2021)
John Saint, Yizhou Fan, Shaveen Singh, Dragan Gasevic, Abelardo Pardo
Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms. LAK (2021)
Yizhou Fan, John Saint, Shaveen Singh, Jelena Jovanovic, Dragan Gasevic
A learning analytic approach to unveiling self-regulatory processes in learning tactics. LAK (2021)
Joep van der Graaf, Inge Molenaar, Kia Puay Lim, Yizhou Fan, Katharina Engelmann, Dragan Gasevic, Maria Bannert
Facilitating Self-Regulated Learning with Personalized Scaffolds on Student's own Regulation Activities. CrossMMLA@LAK (2020)
Bodong Chen, Yizhou Fan, Guogang Zhang, Qiong Wang
Examining motivations and self-regulated learning strategies of returning MOOCs learners. LAK (2017)
Yizhou Fan, Nobuki Yoda, Takeo Igarashi, Hongbing Ma
Path-based image sequence interpolation guided by feature points. ICIP (2016)