Feifei Han

According to our database, Feifei Han authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

Advancements in Q-learning meta-heuristic optimization algorithms: A survey.

Yang Yang, Yuchao Gao, Zhe Ding, Jinran Wu, Shaotong Zhang, Feifei Han, Xuelan Qiu, Shangce Gao, You-Gan Wang

WIREs Data. Mining. Knowl. Discov., 2024

Phase Encoding of Fractional Orbital Angular Momentum for high-capacity Optical Communication.

Jialong Zhu, Feifei Han, Le Wang, Shengmei Zhao

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs.

Feifei Han, Robert A. Ellis

Educ. Inf. Technol., October, 2023

The relations between self-reported perceptions of learning environment, observational learning strategies, and academic outcome.

Feifei Han, Robert A. Ellis

J. Comput. High. Educ., April, 2023

Patterns of students' collaborations by variations in their learning orientations in blended course designs: How is it associated with academic achievement?

Feifei Han, Robert A. Ellis, Enjing Guan

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

Using Large Language Models to Provide Explanatory Feedback to Human Tutors.

Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger

Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

2022

The Descriptive Features and Quantitative Aspects of Students' Observed Online Learning: How Are They Related to Self-Reported Perceptions and Learning Outcomes?

Feifei Han, Robert A. Ellis, Abelardo Pardo

IEEE Trans. Learn. Technol., 2022

2020

Correction to: FastMM: an efficient toolbox for personalized constraint-based metabolic modeling.

Gong-Hua Li, Shaoxing Dai, Feifei Han, Wenxin Li, Jingfei Huang, Wenzhong Xiao

BMC Bioinform., December, 2020

Students' self-report and observed learning orientations in blended university course design: How are they related to each other and to academic performance?

Feifei Han, Abelardo Pardo, Robert A. Ellis

J. Comput. Assist. Learn., 2020

Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning.

Jun Zhan, Wen Chen, Longsheng Cheng, Qiong Wang, Feifei Han, Yubao Cui

Comput. Intell. Neurosci., 2020

FastMM: an efficient toolbox for personalized constraint-based metabolic modeling.

Gong-Hua Li, Shaoxing Dai, Feifei Han, Wenxin Li, Jingfei Huang, Wenzhong Xiao

BMC Bioinform., 2020

2019

When Does Collaboration Lead to Deeper Learning? Renewed Definitions of Collaboration for Engineering Students.

Robert A. Ellis, Feifei Han, Abelardo Pardo

IEEE Trans. Learn. Technol., 2019

Identifying consistent patterns of quality learning discussions in blended learning.

Feifei Han, Robert A. Ellis

Internet High. Educ., 2019

Service Proactive Caching Based Computation Offloading for Mobile Edge Computing.

Zhaokun Zhou, Feifei Han

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

2017

Combining University Student Self-Regulated Learning Indicators and Engagement with Online Learning Events to Predict Academic Performance.

Abelardo Pardo, Feifei Han, Robert A. Ellis

IEEE Trans. Learn. Technol., 2017

Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning.

Robert A. Ellis, Feifei Han, Abelardo Pardo

J. Educ. Technol. Soc., 2017

2016

Quality in blended learning environments - Significant differences in how students approach learning collaborations.

Robert A. Ellis, Abelardo Pardo, Feifei Han

Comput. Educ., 2016

Exploring the relation between self-regulation, online activities, and academic performance: a case study.

Abelardo Pardo, Feifei Han, Robert A. Ellis

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Factors Affecting Customer Satisfaction and Intentions to Adopt m-Service in China.

Fahad Asmi, Rongting Zhou, Tongliang He, Feifei Han

Proceedings of the 13th IEEE International Conference on e-Business Engineering, 2016

2015

The LISS - A Public Database of Common Imaging Signs of Lung Diseases for Computer-Aided Detection and Diagnosis Research and Medical Education.

Guanghui Han, Xiabi Liu, Feifei Han, I. Nyoman Tenaya Santika, Yanfeng Zhao, Xinming Zhao, Chunwu Zhou

IEEE Trans. Biomed. Eng., 2015