Yizhou Fan

According to our database, Yizhou Fan authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analytics of scaffold compliance for self-regulated learning.

John Saint, Yizhou Fan, Dragan Gasevic

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning.

Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing.

Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task.

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

J. Comput. Assist. Learn., June, 2023

Dissecting learning tactics in MOOC using ordered network analysis.

Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic

J. Comput. Assist. Learn., February, 2023

Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data.

Yizhou Fan, Mladen Rakovic, Joep van der Graaf, Lyn Lim, Shaveen Singh, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic

J. Comput. Assist. Learn., 2023

Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning.

Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna D. Moore, Dragan Gasevic

Comput. Hum. Behav., 2023

Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom's Taxonomy.

Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Rafael Ferreira Mello, Yizhou Fan, Giuseppe Fiorentino, Naif Radi Aljohani, Dragan Gasevic

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Do Learners Appreciate Adaptivity? An Epistemic Network Analysis of How Learners Perceive Adaptive Scaffolding.

Tongguang Li, Jionghao Lin, Sehrish Iqbal, Zachari Swiecki, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

2022

Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study.

Yizhou Fan, Jelena Jovanovic, John Saint, Yuhang Jiang, Qiong Wang, Dragan Gasevic

Comput. Educ., 2022

Temporally-focused analytics of self-regulated learning: A systematic review of literature.

John Saint, Yizhou Fan, Dragan Gasevic, Abelardo Pardo

Comput. Educ. Artif. Intell., 2022

Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study.

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 D. Moore, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources.

Mladen Rakovic, Yizhou Fan, Joep van der Graaf, Shaveen Singh, Jonathan Kilgour, Lyn Lim, Johanna D. Moore, Maria Bannert, Inge Molenaar, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Measuring Inconsistency in Written Feedback: A Case Study in Politeness.

Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning.

Yizhou Fan, Wannisa Matcha, Nora'ayu Ahmad Uzir, Qiong Wang, Dragan Gasevic

Int. J. Artif. Intell. Educ., 2021

Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms.

John Saint, Yizhou Fan, Shaveen Singh, Dragan Gasevic, Abelardo Pardo

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Do Instrumentation Tools Capture Self-Regulated Learning?

Joep van der Graaf, Lyn Lim, Yizhou Fan, Jonathan Kilgour, Johanna D. Moore, Maria Bannert, Dragan Gasevic, Inge Molenaar

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

A learning analytic approach to unveiling self-regulatory processes in learning tactics.

Yizhou Fan, John Saint, Shaveen Singh, Jelena Jovanovic, Dragan Gasevic

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

2020

Facilitating Self-Regulated Learning with Personalized Scaffolds on Student's own Regulation Activities.

Joep van der Graaf, Inge Molenaar, Kia Puay Lim, Yizhou Fan, Katharina Engelmann, Dragan Gasevic, Maria Bannert

Proceedings of CrossMMLA in practice: Collecting, 2020

2017

Examining motivations and self-regulated learning strategies of returning MOOCs learners.

Bodong Chen, Yizhou Fan, Guogang Zhang, Qiong Wang

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

2016

Path-based image sequence interpolation guided by feature points.

Yizhou Fan, Nobuki Yoda, Takeo Igarashi, Hongbing Ma

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016