Strong visual memory for object recall predicted non-responsiveness, suggesting poor auditory working memory is a less significant predictor than strong visual memory¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? All non-responder subgroups except Non-Responder Subgroup 4 were positively predicted by high immediate recall of object scores, and the authors conclude auditory working memory may matter less than visual memory for non-responsiveness. → Tan 2026

Evidence¶

Tan 2026¶

Tan, A.S.-C., & Ali, F. (2026). Uncovering subgroup heterogeneity in dyslexia intervention outcomes using explainable machine learning. npj Science of Learning. https://doi.org/10.1038/s41539-026-00429-3

q2 · i? · associational · r1

LIME profile analysis of non-responder subgroups. "Non -responder subgroups 1 to 4 exhibit good memory for recall of objects, with the worst performing subgroup, NRSG1, demonstrating the strongest visual memory scores." NRSG4 alone had poor baseline auditory working memory with good object recall.

"These profiles suggest that poor auditory working memory may not be as significant a predictor of non -responsiveness as compared to strong visual memory."

Discussion¶

Learner Variables¶

• Working Memory — predictor: learners who differ on it differ in outcomes

Related Claims¶

• K-Means clustering of LIME feature-importance profiles identifies 2 responder and 4 non-responder subgroups within binary intervention-response classes — possibly the same claim (merge candidate)
• A meta-analysis attributes the strongest predictors of nonresponsiveness to rapid naming and problem behavior — related