most citedBeware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance

621 citations · 650 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20251 cited

Beyond Self-Regulated Learning Processes: Unveiling Hidden Tactics in Generative AI-Assisted Writing

Kaixun Yang, Yizhou Fan, Luzhen Tang +4

The integration of Generative AI (GenAI) into education is reshaping how students learn, making self-regulated learning (SRL) - the ability to plan, monitor, and adapt one's learni…

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.AI2024621 cited

Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance

Yizhou Fan, Luzhen Tang, Huixiao Le +6

With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of support from agents such as teachers, peers, education techno…

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.HC20242 cited

Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding Chatbots

Yueqiao Jin, Kaixun Yang, Lixiang Yan +8

Learning analytics dashboards (LADs) simplify complex learner data into accessible visualisations, providing actionable insights for educators and students. However, their educatio…