Anna Y. Q. Huang

发表

Predicting students’ academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs

Chengjiu Yin, Stephen J. H. Yang, Anna Y. Q. Huang, 2020, Interact. Learn. Environ..

Can Self-Regulated Learning Intervention Improve Student Reading Performance in Flipped Classrooms?

Hiroaki Ogata, Irene Y. L. Chen, Anna Y. Q. Huang, 2020, Int. J. Online Pedagog. Course Des..

Predicting Students' Academic Performance Using Multiple Linear Regression and Principal Component Analysis

Hiroaki Ogata, Stephen J. H. Yang, Anna Y. Q. Huang, 2018, J. Inf. Process..

MOOCs for K-12 and Higher Education in Taiwan

Stephen J. H. Yang, Irene Y. L. Chen, Anna Y. Q. Huang, 2016, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning

Hiroaki Ogata, Stephen J. H. Yang, Anna Y. Q. Huang, 2018, J. Educ. Technol. Soc..

Evaluating e-portfolio Using by Learning Stages: A Case Study in an Interdisciplinary Program

Stephen J. H. Yang, Jeff J.S. Huang, Anna Y. Q. Huang, 2012 .

Exploring the effects of online learning behaviors on short-term and long-term learning outcomes in flipped classrooms

Chengjiu Yin, Stephen J. H. Yang, Anna Y. Q. Huang, 2018, Interact. Learn. Environ..

Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course

Stephen J. H. Yang, Anna Y. Q. Huang, Owen H. T. Lu, 2017, Interact. Learn. Environ..

Automatic Question Generation for Repeated Testing to Improve Student Learning Outcome

Anna Y. Q. Huang, Owen H. T. Lu, Stephen J. H. Yang, 2021, 2021 International Conference on Advanced Learning Technologies (ICALT).

Exploring Learning Strategies by Sequence Clustering and Analysing their Correlation with Student's Engagement and Learning Outcome

Anna Y. Q. Huang, Owen H. T. Lu, Stephen J. H. Yang, 2021, 2021 International Conference on Advanced Learning Technologies (ICALT).

Impact of teachers' grading policy on the identification of at-risk students in learning analytics

Anna Y. Q. Huang, Owen H. T. Lu, Stephen J. H. Yang, 2021, Comput. Educ..

Considering Temporal Features in Early Prediction of at-risk students

Anna Y. Q. Huang, Owen H. T. Lu, Stephen J. H. Yang, 2021, 2021 International Conference on Advanced Learning Technologies (ICALT).

MOOCs in Taiwan: The Movement and Experiences

Anna Y. Q. Huang, Jeff C. H. Huang, Stephen J. H. Yang, 2017 .

Effects of artificial Intelligence-Enabled personalized recommendations on learners' learning engagement, motivation, and outcomes in a flipped classroom

Anna Y. Q. Huang, Owen H. T. Lu, Stephen J. H. Yang, 2023, Comput. Educ..

A Review of AI-Driven Conversational Chatbots Implementation Methodologies and Challenges (1999–2022)

Anna Y. Q. Huang, Chien-Chang Lin, Stephen J. H. Yang, 2023, Sustainability.

Mining Time-Interval Sequential Patterns with High Utility from Transaction Databases

Wen-Yen Wang, Anna Y. Q. Huang, Anna Y.-Q. Huang, 2016, J. Adv. Comput. Intell. Intell. Informatics.

Considering high utilities for time interval sequential pattern mining

Wen-Yen Wang, Anna Y. Q. Huang, Anna Y.-Q. Huang, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

DNA of learning behaviors: A novel approach of learning performance prediction by NLP

Anna Y. Q. Huang, Chien-Chang Lin, Eddie S.J. Cheng, 2024, Computers and Education: Artificial Intelligence.

The Implementation of Precision Education for Learning Analytics

Anna Y. Q. Huang, Owen H. T. Lu, Stephen J. H. Yang, 2020, 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).