Only 11.1% of interactions pair mastery-oriented aims with advanced strategies such as epistemic justification¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr1·q2
Currency · newest study 2026 · checked against its sources 2026-10-21 (automated, 2 of 2 entries) · 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? Profiles in which mastery-oriented aims co-occur with epistemic justification (and explanation seeking) account for only 11.1% of observed interactions. → Menggian Wu 2026
q2 i? Mastery-oriented aims correlate positively with epistemic justification, and outsourcing correlates negatively with explanation seeking, in the phi correlation matrix. → Menggian Wu 2026 (2)
Evidence¶
Menggian Wu 2026¶
Menggian Wu. (2026). Constructing Epistemic AI Literacy: Detecting Epistemic Aims and Processes in Student-AI Co-Programming. 2nd International Workshop on AI Literacy Education For All (ALIT4ALL 2026), co-located with AIED 2026, Seoul, Republic of Korea. https://arxiv.org/abs/2607.00211 doi:10.48550/arxiv.2607.00211
q2 · i? · associational · r1
Profile analysis of student-GPT conversations (Figures 3b and 4) identifies the sixth and seventh most frequent profiles combining Inquiry relevance, Mastery Aims, Epistemic Justification, and/or Explanation Seeking; the authors associate these with 'more reliable epistemic processes' and genuine learning.
"Although these profiles account for only 11.1% of observed interactions, they suggest that when learners explicitly adopt mastery-oriented aims, they are more likely to engage in more reliable epistemic processes"
Menggian Wu 2026 (2)¶
Menggian Wu. (2026). Constructing Epistemic AI Literacy: Detecting Epistemic Aims and Processes in Student-AI Co-Programming. 2nd International Workshop on AI Literacy Education For All (ALIT4ALL 2026), co-located with AIED 2026, Seoul, Republic of Korea. https://arxiv.org/abs/2607.00211
q2 · i? · associational · r1
The phi correlation matrix among the seven binary labels (Figure 3a) shows generally weak-to-moderate associations, with the printed highlight being the positive mastery-justification link and negative outsourcing-explanation-seeking link; no coefficients beyond matrix values are reported in text.
"a strong positive correlation between mastery-oriented aims and epistemic justification and a notable negative correlation between outsourcing and explanation seeking"
Discussion¶
Learner Variables¶
- Achievement Goal Orientation — predictor: learners who differ on it differ in outcomes
Related Claims¶
- Mastery-approach, performance-approach, and performance-avoidance goals positively predict engagement, while mastery-avoidance goals do not, in AI-assisted English learning — the general claim this finding bears on, with the studies behind it
- 78.8% of student-GenAI turns lack mastery-oriented aims and reliable epistemic strategies — related
- The three collaboration behavior sub-scales are strongly intercorrelated, and mastery correlates with ego-social orientation — related
- Adding regex-based rules to few-shot LLM labeling improves agreement with human annotation (0.818 to 0.852 overall) — related
- In unguided GenAI collaboration, ethnic minority preparatory students’ strategy talk co-occurred with passive sharing and uncritical acceptance, forming a plan-and-paste loop — related
- A secondary ENA adding ICAP engagement codes showed proactive interactions linked constructive engagement with adequate reasoning, while reactive dialogues emphasised procedural pairings — related
- Empirical studies across diverse learner populations show that people's epistemic aims, ideals, and processes are tailored to the information sources and tasks they engage in — related
- Goal profiles differ between effective and ineffective CL teams: mastery and social responsibility goals prevail in effective teams, entertainment, certificate and work avoidance goals in ineffective teams — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
high-epistemic-engagement-111-percent-mastery-justification |
title |
Only 11.1% of interactions pair mastery-oriented aims with advanced strategies such as epistemic justification |
description |
Only 11.1% of interactions pair mastery-oriented aims with advanced strategies such as epistemic justification |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-21 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — menggian-wu-2026, menggian-wu-2026-2 |
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