Claims

Tiredness rose steadily across the four weeks of live online lectures, from 4.93% to 8.24% of recorded time

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · 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? Tiredness exhibited a consistent upward trend across the four-week course, rising from 4.93% in the first week to 8.24% in the fourth week. → Emirhan Gülen 2026

Evidence

Emirhan Gülen 2026

Emirhan Gülen, Yüksel Göktaş. (2026). Facial expression recognition for investigating attention and affective states in synchronous online higher education. Educational technology research and development. https://doi.org/10.1007/s11423-026-10631-0

q2 · i? · design · r2

Descriptive analysis of EATS emotion logs from 40 students over four weekly live lectures; the article reports tiredness "rising from 4.93% in the first week to 8.24%". No test statistic or effect size is printed for this trend.

"Meanwhile, tiredness exhibited a consistent upward trend, rising from 4.93% in the first week to 8.24% in the fourth week."

Discussion

Page metadata
Field Value
type claim
id eats-tiredness-upward-trend-four-weeks
title Tiredness rose steadily across the four weeks of live online lectures, from 4.93% to 8.24% of recorded time
description Tiredness rose steadily across the four weeks of live online lectures, from 4.93% to 8.24% of recorded time
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — emirhan-gülen-2026

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