Mobile-application TE-DCTs capture nonverbal attention-getters in the large majority of both L1 and L2 responses across all scenarios¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2023: tool and model accuracy changes quickly

Subclaims¶

q2 i? Between 83% and 100% of participants used at least one nonverbal attention-getter per scenario, with an overall mean of 91.3% across all scenarios. → Catherine Rockey 2020

Evidence¶

Catherine Rockey 2020¶

Catherine Rockey, Jessica Tiegs, and Julieta Fernández. (2020). Mobile Application Use in Technology-Enhanced DCTs. CALICO Journal. https://doi.org/10.1558/cj.38773

q2 · i? · design · r2

Descriptive analysis of video responses from 13 participants (8 L1, 5 L2 Spanish speakers) completing eight Flipgrid-based TE-DCT scenarios. The article reports the mean of participants using at least one nonverbal attention-getter across all scenarios was "91.3%"; only descriptive statistics were reported given the sample size.

"the percentage of overall participants that used nonverbal devices in their video responses was between 83%–100%, depending on the scenario."

Discussion¶

Related Claims¶

• Facial expression was the most common nonverbal attention-getting device, and the open hand the most common hand gesture — a narrower finding that bears on this claim
• L1 and L2 speakers differed in types of nonverbal devices used, with no significant overall difference in use between groups — related
• Participants showed little metapragmatic awareness of their own nonverbal attention-getting devices in immediate recall — related
• Scenario type (social distance and power differential) did not appear to affect the overall number of nonverbal devices used — related
• Attention plays a major role in L2 learning because a task-relevant knowledge base is built in memory through attention — related