Adult learners view AI as a collaborative learning agent for solving complex problems, sharing knowledge, and honing higher-order thinking¶
Claim · All claims
Evidence · 1 study · qualitativer3·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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? Adult learners positioned AI not as a mere automation tool but as a partner to learn from and with, co-creating outputs and shaping the learning environment. → Jinhee Kim 2026
Evidence¶
Jinhee Kim 2026¶
Jinhee Kim, Xi Lin, Seongryeong Yu, Rita Detrick. (2026). Adult learners' perspectives of AI applications in supporting andragogy. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10621-2
q2 · i? · qualitative · r3
Cross-cutting finding reported in the abstract and RQ2 findings: learners directed systems toward human-AI co-creation rather than passive use, wanting to influence the generative process and control parameters of outputs (P1, P20).
"ALs viewed AI as a collaborative learning agent, learning from and with AIs to solve complex problems, share knowledge, enhance understanding, and hone higher order thinking skills."
Discussion¶
Related Claims¶
- GAI-assisted DST creation produced significantly higher collaborative problem-solving skills than traditional methods among university students — the general claim this finding bears on, with the studies behind it
- Adult learners expect AI to support problem-centered learning by activating background knowledge, generating diagnostic insights, and strengthening critical thinking — related
- Students' main AI challenges are content reliability and depth, and most expect AI to serve as tutor, creative partner, and critical thinking partner rather than mere content generator — related
- AI task scaffolding is positively associated with critical thinking and technical problem-solving among AI-using university students — related
- Teachers find ChatGPT a creative, fast, iterative brainstorming partner that adds specific numbers and details when posing math questions from photos — related
- GenAI-assisted education produces significantly higher higher-order thinking abilities than non-GenAI approaches (g = 0.72) — related
- Expert scenarios across educational sectors position students as critical, agentic partners with AI who question and critique AI-generated content — related
- Embodied GenAI agents in mixed reality raised engagement and lowered cognitive load for 26 post-secondary learners during collaborative problem-solving — related
- Pepper has been deployed in three predominant pedagogical roles: tutor/teaching assistant, learning partner or tutored agent, and social mediator in inclusive settings — related
- The main student use of GAI tools consistently in view was supporting language-usage and text production — related
- GAI-assisted DST creation produced significantly better team creativity performance than traditional methods, particularly in novelty and user experience — related
- Anderson's structured cognitive tutoring systems and Papert's constructionist approach embody contrasting positions on control and learner agency — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-as-collaborative-learning-agent |
title |
Adult learners view AI as a collaborative learning agent for solving complex problems, sharing knowledge, and honing higher-order thinking |
description |
Adult learners view AI as a collaborative learning agent for solving complex problems, sharing knowledge, and honing higher-order thinking |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jinhee-kim-2026 |
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