- Using an AI-powered chatbot for improving L2 Korean grammar: A comparison between proficiency levels and task types
-
...Timpe-Laughlin & Dombi, 2020) and fewer instances of turn-taking, clarification,
and backchanneling (Timpe-Laughlin et al., 2024). Similar implications might apply to comparisons with
synchronous co...
by Ji-young Shin, Yujeong Choi
in Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
- Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse
-
...Timpe-Laughlin et al., 2022). Studies also have demonstrated that scripted
dialog systems can be used effectively in setting up role plays for pragmatic language learning (Dombi et
al., 2022; Timpe-...
by Robert Godwin-Jones
in Volume 27 Number 2, February 2023 Special Issue: Semiotics in CALL
- L2 pragmatics and CALL
-
...Timpe-Laughlin et al.
(2017), these SDS provide environments effective for L2 pragmatic learning because they allow for the
design of specific pragmatic foci, provide learners with authentic and rel...
by Marta González-Lloret
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL
- Computer-assisted pronunciation training for foreign language learning of grammatical features
-
...Timpe-Laughlin et
al., 2020; Tsai, 2019), highlighting the necessity for conversational agents, pronunciation scoring
systems, mispronunciation detection tools, and CAPT systems.
With the rapid de...
by Elsayed Issa, Gus Hahn-Powell
in Volume 29 Number 1, 2025
- Teacher role in synchronous oral interaction: Young learner telecollaboration
-
...Timpe-Laughlin, 2021, p.28-9). Such findings support a
widespread move to the action-based approach adopted in the Common European Framework of Reference
for Languages (CEFR, Council of Europe, 2001...
by Ciara R. Wigham, Shona Whyte
in Volume 28 Number 1, 2024