Claims

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 · associational r2 · q2 · i3 large
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

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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