- Automatic pronunciation assessment vs. automatic speech recognition: A study of conflicting conditions for L2-English
-
...Coniam, 1999; Derwing et al., 2000; McCrocklin &
Edalatishams, 2020). Humans tend to understand accented speech better than ASR systems, although the
latter are getting better at it. ASR systems hav...
by Enrique Cámara-Arenas, Cristian Tejedor-García, Cecilia Judith Tomas-Vázquez, David Escudero-Mancebo
in Volume 27 Number 1, 2023
- A meta-synthesis of empirical research on the effectiveness of computer-mediated communication (CMC) in SLA
-
...Coniam & Wong 2004 ICQ JA S AF N/A IH
Fellner & Apple 2006 Blog JA S IN N/A IH
Fitze 2006 WebCT JA S IN C IH
Fuente 2003 Mixed JA S N/A P IH
González-Bueno & Pérez 2000 E-mail JA M AF C IH
Hua...
by Huifen Lin
in Volume 19 Number 2, June 2015
- SMART Teacher Lab: A learning platform for the professional development of EFL teachers
-
...Coniam, D., Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now:
Current and future directions. Language Learning & Technology, 24(2), 8–22.
http://hdl.handle.net/10125/44719
Haj...
by Heyoung Kim, Jang Ho Lee
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- Computer-Assisted Pronunciation Training (CAPT): An empirical evaluation of EPSS Multimedia Lab
-
...Coniam, 2002), intonation (Cauldwell, 2012; Hardison, 2004; Levis & Pickering, 2004), and speech
rate and fluency (Hincks, 2005). These studies generally conclude that learners who use CAPT materials...
by María de los Ángeles Gómez González, Alfonso Lago Ferreiro
in Volume 28 Number 1, 2024
- Bridging the communication divide: CMC and deaf individuals’ literacy skills
-
...Coniam & Wong, 2004; Sullivan
& Pratt, 1996), greater syntactic and lexical complexity (Kern, 1995; Warschauer, 1996), and
conversational skills including oral proficiency (Chun, 1994; Kern, 1995; K...
by Carrie Lou Garberoglio, Duncan Dickson, Stephanie Cawthon, Mark Bond
in Volume 19 Number 2, June 2015
- Big data and language learning: Opportunities and challenges
-
...Coniam, D., Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now:
Current and future directions. Language Learning & Technology, 24(2), 8–22.
http://hdl.handle.net/10125/44719
Gel...
by Robert Godwin-Jones
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research
- Using an AI-powered chatbot for improving L2 Korean grammar: A comparison between proficiency levels and task types
-
...Coniam, D., Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now:
Current and future directions. Language Learning & Technology, 24(2), 8–22.
http://hdl.handle.net/10125/44719
Ge...
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
- Evolving technologies for language learning
-
...Coniam, D., Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now:
Current and future directions. Language Learning & Technology, 24(2), 8–22.
http://hdl.handle.net/10125/44719
Fu...
by Robert Godwin-Jones
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL
- Integrating ChatGPT for vocabulary learning and retention: A classroom-based study of Saudi EFL learners
-
...Coniam, D., Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now:
Current and future directions. Language Learning & Technology, 24(2), 8–22.
http://hdl.handle.net/10125/44719
G...
by Safaa Mahmoud Abdelhalim, Raniya Alsehibany
in Volume 29 Number 1, 2025
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