Claims

Review reports TAs sharing the same agenda provided different meta-level learning opportunities through object-level adaptations

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2022 · 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? In Pinto's (2019) study as reviewed, two teaching assistants with the same agenda differed in meta-level learning opportunities: one emphasized that every word counts in mathematics, the other highlighted how experienced students do mathematics, while their preparation communication occurred only at the object level. → Karavi 2022

Evidence

Karavi 2022

Karavi, Mali, & Avraamidou. (2022). Commognition as an approach to studying proof teaching in university mathematics lectures. EURASIA Journal of Mathematics, Science and Technology Education. https://doi.org/10.29333/ejmste/12173

q2 · i? · review · r2

The review reports, citing Pinto (2019), a study of two TAs' tutorial discourse on real analysis, using transcripts and end-of-semester interviews. The review states adaptations at object-level learning "appeared to provide different opportunities for students' meta-level learning".

"with regard to students' meta-level learning, one emphasized the narrative that "each and every word counts in mathematics" whereas the other highlighted "how more experienced mathematics students, such as himself, do mathematics"."

Discussion

Page metadata
Field Value
type claim
id ta-agenda-object-meta-level-opportunities
title Review reports TAs sharing the same agenda provided different meta-level learning opportunities through object-level adaptations
description Review reports TAs sharing the same agenda provided different meta-level learning opportunities through object-level adaptations
status review
evidence_strength weak
newest_evidence 2022
generated by process:wiki-ingest on 2026-09-25
trust unverified — no one has confirmed this page's content
sources 1 — karavi-2022

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