SavedAdd your journal

Journals / IOJET / 2020 / Cilt: 7 - Sayı: 2

ENGLISH AS A FOREIGN LANGUAGE LEARNER INTERACTIONS WITH CHATBOTS: NEGOTIATION FOR MEANING

Qinghua YIN
Müge SATAR
Journal
IOJET
Pages
1–22
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings of this study indicate that whilelearners with low language levels would benefit most from interactions with pedagogicalagents, high language level learners expressed dissatisfaction with chatbots and a low level ofengagement was observed in their interactions with the pedagogical chatbot.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Chatbots, whose potential for language learning have caused controversy among SecondLanguage Acquisition (SLA) researchers (Atwell, 1999; Fryer & Carpenter, 2006; Fryer &Nakao, 2009; Parker, 2005, Coniam, 2014; Jia, 2004; Chantarotwong, 2005) are intelligentconversational systems stimulating human interlocutors with voice or text.
📊
Key Findings & Data:In this paper, twodifferent types of chatbots (pedagogical chatbot Tutor Mike and conversational chatbotMitsuku) were selected to investigate their potential for foreign language learning byexploring the frequency and patterns of Negotiation for Meaning (NfM) in CMC interactions.8 Chinese EFL leaners were randomly divided into two groups (lower and higher-levellearners), and all learners interacted with both the pedagogical and conversational chatbot ina switching replications research design.
💡
Conclusion & Impact:The findings of this study indicate that whilelearners with low language levels would benefit most from interactions with pedagogicalagents, high language level learners expressed dissatisfaction with chatbots and a low level ofengagement was observed in their interactions with the pedagogical chatbot.
🔬Design:Research Article
📍Scope:2006 Verileri
⚙️Variables:Domain Parameters

Abstract

Chatbots, whose potential for language learning have caused controversy among SecondLanguage Acquisition (SLA) researchers (Atwell, 1999; Fryer & Carpenter, 2006; Fryer &Nakao, 2009; Parker, 2005, Coniam, 2014; Jia, 2004; Chantarotwong, 2005) are intelligentconversational systems stimulating human interlocutors with voice or text. In this paper, twodifferent types of chatbots (pedagogical chatbot Tutor Mike and conversational chatbotMitsuku) were selected to investigate their potential for foreign language learning byexploring the frequency and patterns of Negotiation for Meaning (NfM) in CMC interactions.8 Chinese EFL leaners were randomly divided into two groups (lower and higher-levellearners), and all learners interacted with both the pedagogical and conversational chatbot ina switching replications research design. Data were analysed through content analysis toidentify the number of NfM instances observed, the different stages of NfM, trigger types,modified output and learners’ perceptions. The findings of this study indicate that whilelearners with low language levels would benefit most from interactions with pedagogicalagents, high language level learners expressed dissatisfaction with chatbots and a low level ofengagement was observed in their interactions with the pedagogical chatbot.

🔖

Cite This Article

YIN, Q., SATAR, M. (2022). ENGLISH AS A FOREIGN LANGUAGE LEARNER INTERACTIONS WITH CHATBOTS: NEGOTIATION FOR MEANING. IOJET, Cilt: 7 - Sayı: 2, 1–22. https://ajindex.com/articles/542206

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Akayoglu, S., & Altun, A. (2009). The functions of negotiation of meaning in textbased CMC. In R. de Cassia Veiga Marriott & P. Lupion Torres (Ed.), Handbook of research on e-learning methodologies for language acquisition (pp. 291-306).
  2. Hershey, PA: Information Science Reference. Atwell, E. (1999). The language machine: The impact of speech and language technologies on English language teaching. London: British Council. Berelson, B. (1952). Content Analysis in Communication Research. Glencoe, Ill: Free Press.
  3. Blake, R. (2000). Computer-mediated communication: A window on L2 Spanish interlanguage. Language Learning & Technology, 4(1), 120-136.
  4. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
  5. Can, I., Gelmez-Burakgazi, S., & Celik, I. (2019). An investigation of uses and gratifications for using web 2.0 technologies in teaching and learning processes. International Online Journal of Education and Teaching (IOJET), 6(1), 88-102. http://www.iojet.org/index.php/IOJET/article/view/504
  6. Chantarotwong, B. (2005). The learning chatbot. Final year project. Retrieved from http://courses.ischool.berkeley.edu/i256/f06/projects/bonniejc.pdf.
  7. Chun, D. M. (1994). Using computer networking to facilitate the acquisition of interactive competence. System, 22(1), 17-31.
  8. Coniam, D. (2008a). An evaluation of chatbots as software aids to learning English as a second language. The Eurocall Review, 13, 1-18.
  9. Coniam, D. (2008b). Evaluating the language resources of chatbots for their potential in English as a second language. ReCALL, 20(1), 98-116.
  10. Coniam, D. (2014). The linguistic accuracy of chatbots: usability from an ESL perspective. Text & Talk, 34(5), 545-567. Fernández-García, M., & Martínez-Arbelaiz, A. (2002). Negotiation of meaning in nonnative speaker–non-native speaker synchronous discussions. CALICO Journal, 19, 279-294.
  11. Foster, P. (1998). A classroom perspective on the negotiation of meaning. Applied Linguistics, 19, 1-23.
  12. Fryer, L., & Carpenter, R. (2006). Bots as language learning tools. Language Learning & Technology, 10 (3), 8-14.
  13. Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z. (2017). Stimulating and sustaining interest in a language course: An experimental comparison of chatbot and human task partners. Computers in Human Behavior, 75, 461-468.
  14. Fryer, L., & Nakao, K. (2009). Assessing chatbots for EFL learner use. In A. Stoke (Ed.), Proceedings from JALT2008 Conference. Tok