Claims

Manual content analysis of reflective writing is time-consuming, constraining pedagogical use and large-scale research

Claim · All claims
Evidence · 1 study · design r2 · q2
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 i? The manual analysis of reflective writing is a time-consuming task whose cost constrains the frequency and intensity of its pedagogical use and limits large-scale research. → Thomas Daniel Ullmann 2019

Evidence

Thomas Daniel Ullmann 2019

Thomas Daniel Ullmann. (2019). Automated Analysis of Reflection in Writing: Validating Machine Learning Approaches. International Journal of Artificial Intelligence in Education (2019) 29:217–257. https://doi.org/10.1007/s40593-019-00174-2

q2 · i? · design · r2

Motivational argument in the introduction, supported by cited content-analysis practice; the article states manual analysis "constrains the frequency and intensity of its pedagogical use" and limits large-scale research explorations and immediacy-of-feedback designs.

"The manual analysis of reflective writing is a time-consuming task, adding a cost that constrains the frequency and intensity of its pedagogical use."

Discussion

Page metadata
Field Value
type claim
id manual-reflection-analysis-costly-constrains-use
title Manual content analysis of reflective writing is time-consuming, constraining pedagogical use and large-scale research
description Manual content analysis of reflective writing is time-consuming, constraining pedagogical use and large-scale research
status review
evidence_strength weak
newest_evidence 2019
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — thomas-daniel-ullmann-2019

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