HAL (France)
open access
Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A mixed-methods study on the interplay between AI-assisted dynamic assessment, reading comprehension, and psychological adaptivity.#242483
- The Eight-Mode AI Engagement Typology: Differential Cognitive Signatures and a Self-Report–Behavior Gap#469690
- I Have a Stream: Making Self-Supervised Learning Work on Continuous Video#1154593
- VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing#793695
- VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing#789691
Record · ID 1299120
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive