Claims

Students perceive conversational-agent interventions as disruptive and react to the automatic disruptions differently

Claim · All claims
Evidence · 1 study · causal r? · 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? Students perceived the agent's interventions as having a disruptive aspect, and students experienced and reacted to the automatic disruptions differently. → Sten Ludvigsen 2016

Evidence

Sten Ludvigsen 2016

Sten Ludvigsen, Ulrike Cress, Nancy Law, Carolyn P. Rosé, & Gerry Stahl. (2016). Collaboration scripts and scaffolding. International Journal of Computer-Supported Collaborative Learning, 11, 381–385. https://doi.org/10.1007/s11412-016-9247-1

q2 · i? · causal · r?

The editors report this as a secondary finding of the Tegos et al. conversational-agent experiment, describing "the students' perception of the disruptive aspect of the agent's interventions" and heterogeneity in student reactions. No effect sizes are printed.

"Another interesting finding is the students’ perception of the disruptive aspect of the agent ’s interventions, and that the students experience and react to the automatic disruptions differently."

Discussion

Page metadata
Field Value
type claim
id agent-interruptions-perceived-disruption-varies
title Students perceive conversational-agent interventions as disruptive and react to the automatic disruptions differently
description Students perceive conversational-agent interventions as disruptive and react to the automatic disruptions differently
status review
evidence_strength weak
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — sten-ludvigsen-2016

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