most citedThe FLoRA Engine: Using Analytics to Measure and Facilitate Learners' own Regulation Activities

18 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC202418 cited

The FLoRA Engine: Using Analytics to Measure and Facilitate Learners' own Regulation Activities

Xinyu Li, Yizhou Fan, Tongguang Li +8

The focus of education is increasingly set on learners' ability to regulate their own learning within technology-enhanced learning environments (TELs). Prior research has shown tha…

cs.HC20248 cited

Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures

Yixin Cheng, Rui Guan, Tongguang Li +7

While the capacity to self-regulate has been found to be crucial for secondary school students, prior studies often rely on self-report surveys and think-aloud protocols that prese…

cs.HC20243 cited

Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality

Kaixun Yang, Mladen Raković, Zhiping Liang +5

Students are increasingly relying on Generative AI (GAI) to support their writing-a key pedagogical practice in education. In GAI-assisted writing, students can delegate core cogni…

cs.HC20242 cited

Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing

Kaixun Yang, Yixin Cheng, Linxuan Zhao +4

The advent of Generative Artificial Intelligence (GAI) has revolutionized the field of writing, marking a shift towards human-AI collaborative writing in education. However, the dy…

cs.CL20242 cited

Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability

Kaixun Yang, Mladen Raković, Yuyang Li +3

Automatic Essay Scoring (AES) is a well-established educational pursuit that employs machine learning to evaluate student-authored essays. While much effort has been made in this a…