All AI applications and tools predominantly influence the performance phase of SRL, particularly by facilitating monitoring and control¶

Claim · All claims
Evidence · 1 study · review r? · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Across application types, all AI tools predominantly influence the performance phase, especially monitoring and control; evaluation systems focus more on forethought and evaluation while chatbots primarily support the performance phase. → Min Lan & Xiaofeng Zhou 2025

Evidence¶

Min Lan & Xiaofeng Zhou 2025¶

Min Lan & Xiaofeng Zhou. (2025). A qualitative systematic review on AI empowered self-regulated learning in higher education. npj Science of Learning. https://doi.org/10.1038/s41539-025-00319-0

q3 · i? · review · r?

The review's cross-application synthesis (Fig. 3). It reports that "Evaluation systems are more focused on the forethought and evaluation phases... whereas chatbots primarily support the performance phase by providing real-time interaction and guidance".

"As illustrated in Fig. 3, all applications and tools predominantly influence the perfor-mance phase, particularly by facilitating monitoring and control."

Discussion¶

Related Claims¶

• A qualitative review reports that AI applications supported learners' attitudes, motivation and self-efficacy in the forethought phase, but self-efficacy gains were inconsistent across studies, and students with initially low self-efficacy often struggled to use the tools — related
• Only 3 of 14 AI applications in the reviewed studies provided comprehensive support across all three phases of Zimmerman's SRL model — related
• Chatbots were the most frequently used AI application type for supporting SRL, followed by evaluation systems — related
• Identified SRL interventions all focused on goal setting and monitoring and none on supporting self-evaluation — related