Differential sequence mining shows significant differences in frequencies of SRL process sequences by prior knowledge group while controlling for condition¶
Claim · All claims
Evidence · 1 study · associationalr2·q2·i3large
Currency · newest study 2019 · 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 i3 A MANCOVA on instance support values of eight 2-length sequences revealed a significant multivariate effect (ηp2 = .52), with HPK students higher on accurate cognitive sequences and accurate metacognitive-cognitive transitions and lower on inaccurate metacognitive sequences. → Taub 2019
Evidence¶
Taub 2019¶
Taub, M., & Azevedo, R. (2019). How Does Prior Knowledge Influence Eye Fixations and Sequences of Cognitive and Metacognitive SRL Processes during Learning with an Intelligent Tutoring System? Int J Artif Intell Educ (2019) 29:1-28. https://doi.org/10.1007/s40593-018-0165-4
q2 · i3 · associational · r2
Differential sequence mining (Kinnebrew et al. method) with a MANCOVA comparing instance support values of eight 2-length sequences between prior knowledge groups, condition as covariate (n = 30). Multivariate effect Wilks' λ = .49, F(8, 20) = 2.65, p = .037, ηp2 = .52; univariate ηp2 values .14 to .23.
"participants with high prior knowledge had significantly higher frequencies of sequences 1 ➔ 1[ C o g H u➔ CogHu], 1 ➔ 5 [CogHu ➔ MetacogHu], 5 ➔ 1 [MetacogHu ➔ CogHu], and 1 ➔ 2 [CogHu ➔ CogLu], and significantly lower frequencies of sequence 6 ➔ 6[ M e t a c o g L u➔ MetacogLu] than participants with low prior knowledge."
Discussion¶
Related Claims¶
- Sequence mining detects distinct SRL process sequences by prior knowledge group: high prior knowledge students generated more frequent sequences and predominantly accurate metacognitive judgment sequences — related
- Novices showed marginally higher complexity of SRL phase sequences than experts (frequent but predictable transitions), with no group differences in entropy or transition number — related
- High prior knowledge students show higher frequencies of transitions from text content to diagram, notes, table of contents, SRL palette, sub-goals, and learning goal AOIs — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
differential-sequence-mining-srl-frequencies-by-prior-knowledge |
title |
Differential sequence mining shows significant differences in frequencies of SRL process sequences by prior knowledge group while controlling for condition |
description |
Differential sequence mining shows significant differences in frequencies of SRL process sequences by prior knowledge group while controlling for condition |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2019 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — taub-2019 |
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