Theoretical quality of both theory-based and non-theory agents remains stable across Easy, Medium, and Hard scenario difficulty levels¶
Claim · All claims
Evidence · 1 study · causalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Theory-based agents scored consistently across difficulty (Easy: 2.58, Medium: 2.58, Hard: 2.58), as did non-theory agents (Easy: 2.55, Medium: 2.54, Hard: 2.53). → YoungHoon Jeon 2026
Evidence¶
YoungHoon Jeon 2026¶
YoungHoon Jeon, Suwan Kim, Haein Son, Sookbun Lee, Yeil Jeong, Unggi Lee. (2026). ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents. Preprint. https://arxiv.org/abs/2602.10620 doi:10.48550/arxiv.2602.10620
q2 · i? · causal · r2
Robustness analysis across Easy, Medium, and Hard scenarios (Figure 3 middle) showing theoretical quality scores for both agent groups; the printed means are 2.58/2.58/2.58 for theory-based and 2.55/2.54/2.53 for non-theory agents.
"Theory-based agents show consistent scores (Easy: 2.58, Medium: 2.58, Hard: 2.58), as do non-theory agents (Easy: 2.55, Medium: 2.54, Hard: 2.53)."
Discussion¶
Related Claims¶
- Coarse-grained tool design (5 phase-level tools) outperforms fine-grained decomposition (14 tools) for LLM-based ISD agents — related
- Theoretical quality of agent outputs strongly correlates with benchmark performance (r = 0.656) — related
- In the agent-based model, task difficulty and AI quality set the baseline level of overreliance, with difficulty the dominant global factor — related
- In the model, high-quality AI on hard tasks produces the highest regret despite moderate overreliance, because agents over-defer and rarely self-rely — related
- Across frontier LLMs, Counseling is the easiest educational activity center (average 8.78) while Assessment and Research are hardest (8.42), and performance degrades from Easy to Hard difficulty — related
- LLMs help bridge the gap between theoretical curricula and real-world skills by creating simulated scenarios, cases and problem contexts that are hard to reproduce in traditional classrooms — related
- Theory-based agents significantly outperform non-theory agents on Problem-centered design (d = 0.28) and Activation (d = 0.29), but non-theory agents score higher on Demonstration (d = -0.23) — related
- Task difficulty increases error counts, with significantly more errors on Medium and Hard tasks than Easy tasks — related
- Easy tasks showed a floor effect across all participants and were excluded from hypothesis testing — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
theoretical-quality-stable-across-difficulty |
title |
Theoretical quality of both theory-based and non-theory agents remains stable across Easy, Medium, and Hard scenario difficulty levels |
description |
Theoretical quality of both theory-based and non-theory agents remains stable across Easy, Medium, and Hard scenario difficulty levels |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — younghoon-jeon-2026 |
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