Yizhou Fan

发表

Teachers’ networked professional learning with MOOCs

Bodong Chen, Yizhou Fan, Guogang Zhang, 2020, PloS one.

The Dynamics Between Self-Regulated Learning and Learning Outcomes: an Exploratory Approach and Implications

D. Gašević, I. Molenaar, M. Bannert, 2022, Metacognition and Learning.

MOOCs as an Alternative for Teacher Professional Development. Examining Learner Persistence in One Chinese MOOC

Bodong Chen, Yizhou Fan, Guogang Zhang, 2018 .

Towards investigating the validity of measurement of self-regulated learning based on trace data

D. Gašević, I. Molenaar, M. Bannert, 2022, Metacognition and Learning.

Dissecting learning tactics in MOOC using ordered network analysis

D. Gašević, D. Shaffer, Yizhou Fan, 2022, J. Comput. Assist. Learn..

Improving the measurement of self-regulated learning using multi-channel data

D. Gašević, I. Molenaar, M. Bannert, 2022, Metacognition and Learning.

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

D. Gašević, I. Molenaar, M. Bannert, 2022, Comput. Hum. Behav..

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

D. Gašević, I. Molenaar, M. Bannert, 2022, J. Comput. Assist. Learn..

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

Dragan Gasevic, Nora'ayu Ahmad Uzir, Wannisa Matcha, 2021, International Journal of Artificial Intelligence in Education.

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

Nora'ayu Ahmad Uzir, D. Gašević, Yizhou Fan, 2021, International Journal of Artificial Intelligence in Education.

Temporal Assessment of Self-Regulated Learning by Mining Students’ Think-Aloud Protocols

D. Gašević, I. Molenaar, M. Bannert, 2021, Frontiers in Psychology.

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

Qiong Wang, Bodong Chen, Guogang Zhang, 2017, LAK.

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

D. Gašević, A. Pardo, Yizhou Fan, 2022, Comput. Educ. Artif. Intell..

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

Dragan Gašević, John Saint, Jelena Jovanović, 2022, Comput. Educ..

Do Instrumentation Tools Capture Self-Regulated Learning?

Dragan Gasevic, Maria Bannert, Inge Molenaar, 2021, LAK.

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

Dragan Gasevic, Abelardo Pardo, Yizhou Fan, 2021, LAK.

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

Johanna D. Moore, D. Gašević, I. Molenaar, 2022, LAK.

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

D. Gašević, I. Molenaar, M. Bannert, 2023, Journal of Computer Assisted Learning.

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

Dragan Gasevic, Jelena Jovanovic, Yizhou Fan, 2021, LAK.

Analytics of self-regulated learning scaffolding: effects on learning processes

D. Gašević, I. Molenaar, M. Bannert, 2023, Frontiers in psychology.

How to design and evaluate personalized scaffolds for self-regulated learning

D. Gašević, M. Bannert, Yizhou Fan, 2023, Metacognition and Learning.

Introduction to special issue on facilitating self-regulated learning with scaffolds: Recent advances and future directions

Yizhou Fan, Joep van der Graaf, Michelle Taub, 2023, Metacognition and Learning.

Towards prescriptive analytics of self‐regulated learning strategies: A reinforcement learning approach

D. Gašević, M. Bannert, Yizhou Fan, 2024, British Journal of Educational Technology.

Reinforcement learning for automatic detection of effective strategies for self-regulated learning

D. Gašević, M. Bannert, Yizhou Fan, 2023, Computers and Education: Artificial Intelligence.