TRV-2026-1892Certified recordPeer-reviewed

Using AI to Build Student Feedback Literacy and Leverage Assessment as a Learning Tool

This conceptual article explores practical ways in which college and university instructors can leverage artificial intelligence (AI) to support assessment as learning and develop students’ feedback literacy. Traditional assessment practices often focus on assessment for learning (informing instruction) or of learning (measuring outcomes), while assessment as learning—when students actively monitor and reflect on their own learning—receives less attention. AI can help instructors leverage assessment as a learnin…

Education · Good Space — documented gain · certified 2026-10-19 · v1 · article view · machine-readable

Current reading — gain

The article argues instructors can use AI to generate work samples and give timely feedback, which, with scaffolds, may build students' metacognition and self-directed learning.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1892, v1: “Using AI to Build Student Feedback Literacy and Leverage Assessment as a Learning Tool.” Truvace, 2026-10-19. /record/TRV-2026-1892 (accessed at citation time). sha256 115e9030f64b40bd…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv1115e9030f64b…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-1892 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.