Claims

TimeOnTask threshold values computed by ToTCompute explain up to 76.2% of the variance in engagement change

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2016 · 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 an experimental case study, regression analysis indicated that TimeOnTask explains up to 76.2% of the variance in engagement change. → Ghergulescu 2016

Evidence

Ghergulescu 2016

Ghergulescu, I. & Muntean, C. H. (2016). ToTCompute: A Novel EEG-Based TimeOnTask Threshold Computation Mechanism for Engagement Modelling and Monitoring. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-016-0111-2

q2 · i? · design · r2

Experimental case study with 50 participants playing the Fire Protocol educational game while wearing an Emotiv EPOC headset; regression analysis indicated TimeOnTask "explains up to 76.2 % of the variance in engagement change."

"The results of an experimental case study show that the proposed ToTCompute mechanism can be used to automatically compute threshold values for the TimeOnTask generic engagement metric, with regression analysis indicating that TimeOnTask explains up to 76.2 % of the variance in engagement change."

Discussion

Page metadata
Field Value
type claim
id totcompute-threshold-explains-engagement-change-variance
title TimeOnTask threshold values computed by ToTCompute explain up to 76.2% of the variance in engagement change
description TimeOnTask threshold values computed by ToTCompute explain up to 76.2% of the variance in engagement change
status review
evidence_strength moderate
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — ghergulescu-2016

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