DBagent

Product or Programme · All products and programmes
Evidence · 3 claims (1 for, 2 mixed) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

DBagent is a course-specific LLM-based educational agent developed by Li et al. on a university-wide educational AI infrastructure for supporting database-course learning through retrieval, tool use, memory, and ReAct reasoning.

Components

Claims

• An LLM-based educational agent-enriched learning context improved task performance in most experimental classes but not all, with one experimental class underperforming the control on the complex task [+W]
• Student-agent interaction produced far more help-seeking but a non-uniform cognitive distribution dominated by lower-order engagement (54.52%), unlike the balanced distribution of student-instructor interaction [~W]
• Student-agent interaction featured a significant Query-Evaluation-Query verification loop (RM-QR-EA), distinct from the linear QR-UN path of student-instructor interaction [~W]

Related Products and Programmes

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Key Sources

• Li, X., Liu, Z., Jiang, S., Chen, J., & Chen, W. (2026). The impact of an LLM-based educational agent on learning achievement, cognitive dynamics, and student perceptions in computer science education. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00641-y

Page metadata

Field	Value
type	product
id	dbagent
title	DBagent
description	DBagent is a course-specific LLM-based educational agent developed by Li et al.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

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