1,203
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Chatbot-based learning of logical fallacies in EFL writing: perceived effectiveness in improving target knowledge and learner motivation

ORCID Icon, ORCID Icon & ORCID Icon
Received 03 Aug 2022, Accepted 25 May 2023, Published online: 07 Jun 2023

References

  • Bailey, D., Southam, A., & Costley, J. (2021). Digital storytelling with chatbots: Mapping L2 participation and perception patterns. Interactive Technology and Smart Education, 18(1), 85–103. https://doi.org/10.1108/ITSE-08-2020-0170
  • Bassham, G., Irwin, W., Nardone, H., & Wallace, J. (2010). Logical fallacy. In Maura P. Brown (Ed.), Critical thinking: A student’s introduction (6th ed., pp. 140–178). McGraw-Hill Education.
  • Csikszentmihalyi, M. (2014). Play and intrinsic rewards. In M. Csikszentmihalyi (Ed.), Flow and the foundations of positive psychology: The collected works of Mihaly Csikszentmihalyi (pp. 135–153). Springer. https://doi.org/10.1007/978-94-017-9088-8_10
  • Dent, A. L., & Koenka, A. C. (2016). The relation between self-regulated learning and academic achievement across childhood and adolescence: A meta-analysis. Educational Psychology Review, 28(3), 425–474. https://doi.org/10.1007/s10648-015-9320-8
  • DiCicco-Bloom, B., & Crabtree, B. F. (2006). The qualitative research interview. Medical Education, 40(4), 314–321. https://doi.org/10.1111/j.1365-2929.2006.02418.x
  • El Khoiri, N., & Widiati, U. (2017). Logical fallacies in Indonesian EFL learners’ argumentative writing: Students’ perspectives. Dinamika Ilmu, 17(1), 71–81. https://doi.org/10.21093/di.v17i1.638
  • El Shazly, R. (2021). Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. Expert Systems, 38(3), e12667. https://doi.org/10.1111/exsy.12667
  • 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. https://doi.org/10.1016/j.chb.2017.05.045
  • Heo, M., & Lee, K. J. (2018). Chatbot as a new business communication tool: The case of NaverTalkTalk. Business Communication Research and Practice, 1(1), 41–45. https://doi.org/10.22682/bcrp.2018.1.1.41
  • Hsieh, S. W. (2011). Effects of cognitive styles on an MSN virtual learning companion system as an adjunct to classroom instructions. Journal of Educational Technology & Society, 14(2), 161–174. https://doi.org/10.2307/jeductechsoci.14.2.161
  • Hsu, M. H., Chen, P. S., & Yu, C. S. (2021). Proposing a task-oriented chatbot system for EFL learners speaking practice. Interactive Learning Environments, 1–12. https://doi.org/10.1080/10494820.2021.1960864
  • Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning—Are they really useful? A systematic review of chatbot-supported language learning. Journal of Computer Assisted Learning, 38(1), 237–257. https://doi.org/10.1111/jcal.12610
  • Huang, W., Hew, K. F., & Gonda, D. E. (2019). Designing and evaluating three chatbot-enhanced activities for a flipped graduate course. International Journal of Mechanical Engineering and Robotics Research, 8(5), 813–818. https://doi.org/10.18178/ijmerr.8.5.813-818
  • Johnson, C. M. (2009). Reconsidering the ad hominem. Philosophy, 84(2), 251–266. https://doi.org/10.1017/S0031819109000217
  • Lismay, L. (2020). Logical fallacies on students’ argumentative writing. ELP (Journal of English Language Pedagogy), 5(2), 21–27. https://doi.org/10.36665/elp.v5i2.321
  • Maldonado-Mahauad, J., Pérez-Sanagustín, M., Carvallo-Vega, J., Narvaez, E., & Calle, M. (2022). Miranda: A chatbot for supporting self-regulated learning. In Isabel Hilliger, Pedro J. Muñoz-Merino, Tinne De Laet, Alejandro Ortega-Arranz, & Tracie Farrell (Eds.), European conference on technology enhanced learning (pp. 455–462). Springer.
  • Miller, C., & Poston, M. (2020). Logical fallacies. Exploring Communication in the Real World.
  • Murray, N. (2012). Writing essays in English language and linguistics: Principles, tips and strategies for undergraduates. Cambridge University Press.
  • Nghi, T. T., Phuc, T. H., & Thang, N. T. (2019). Applying AI chatbot for teaching a foreign language: An empirical research. International Journal of Scientific and Technology Research, 8(12), 897–902. https://www.researchgate.net/profile/Tran-Nghi-4/publication/337965319_Applying_Ai_Chatbot_For_Teaching_A_Foreign_Language_An_Empirical_Research/links/5df8434f4585159aa482f4a2/Applying-Ai-Chatbot-For-Teaching-A-Foreign-Language-An-Empirical-Research.pdf
  • Nguyen, Q. N., & Sidorova, A. (2018). “Understanding user interactions with a chatbot: A self-determination theory approach.” In AMCIS 2018 Proceedings, 3. https://aisel.aisnet.org/amcis2018/HCI/Presentations/3
  • Ouatu, B. I., & Gifu, D. (2021). Chatbot, the future of learning?. In Óscar Mealha, Matthias Rehm, & Traian Rebedea (Eds.), Ludic, co-design and tools supporting smart learning ecosystems and smart education (pp. 263–268). Springer.
  • Pengel, N., Martin, A., Meissner, R., Arndt, T., Neumann, A. T., de Lange, P., & Wollersheim, H. W. (2021). TecCoBot: Technology-aided support for self-regulated learning. arXiv preprint arXiv:2111.11881.
  • Perttula, A., Kiili, K., Lindstedt, A., & Tuomi, P. (2017). Flow experience in game based learning – a systematic literature review. International Journal of Serious Games, 4(1), 57–72. https://doi.org/10.17083/ijsg.v4i1.151
  • Petri, H. L., & Govern, J. M. (2012). Motivation: Theory, research, and application. Cengage Learning.
  • Roediger, H. L., III, & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20–27. https://doi.org/10.1016/j.tics.2010.09.003
  • Ruan, S., He, J., Ying, R., Burkle, J., Hakim, D., Wang, A., Yin, Y., Zhou, L., Xu, Q., AbuHashem, A. A., Dietz, G., Murnane, E. L., Brunskill, E. P., & Landay, J. A. (2020, June). Supporting children’s math learning with feedback-augmented narrative technology. In Proceedings of the interaction design and children conference (pp. 567–580). https://doi.org/10.1145/3392063.3394400
  • Ruan, S., Jiang, L., Xu, J., Tham, B. J. K., Qiu, Z., Zhu, Y., & Landay, J. A. (2019a, May). Quizbot: A dialogue-based adaptive learning system for factual knowledge. In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1–13). https://doi.org/10.1145/3290605.3300587
  • Ruan, S., Willis, A., Xu, Q., Davis, G. M., Jiang, L., Brunskill, E., & Landay, J. A. (2019b, June). Book buddy: Turning digital materials into interactive foreign language lessons through a voice chatbot. Proceedings of the sixth (2019) ACM conference on learning@ scale (pp. 1–4). https://doi.org/10.1145/3330430.3333643
  • Saidi, M. (2020). The relationship between Iranian EFL learners’ linguistic and logical intelligences and the frequency of fallacies and evidence in their argumentative writing: A gender-based study. Journal of English Language Pedagogy and Practice, 12(25), 151–169. https://doi.org/10.30495/JAL.2020.675547
  • Song, Y., Chao, S. F., & Attali, Y. (2020). Exploring the effect of a scaffolding design on students’ argument critique skills. Informal Logic, 40(4), 605–628. https://doi.org/10.22329/il.v40i4.6034
  • Song, Y., & Sparks, J. R. (2019). Measuring argumentation skills through a game-enhanced scenario-based assessment. Journal of Educational Computing Research, 56(8), 1324–1344. https://doi.org/10.1177/0735633117740605
  • Tai, T. Y., & Chen, H. H. J. (2020). The impact of Google Assistant on adolescent EFL learners’ willingness to communicate. Interactive Learning Environments, 31, 1485–1502. https://doi.org/10.1080/10494820.2020.1841801
  • Tandy, C., Vernon, R., & Lynch, D. (2017). Teaching note—teaching student interviewing competencies through second life. Journal of Social Work Education, 53(1), 66–71. https://doi.org/10.1080/10437797.2016.1198292
  • Tegos, S., Demetriadis, S., Psathas, G., & Tsiatsos, T. (2019, November). A configurable agent to advance peers’ productive dialogue in MOOCs. In Asbjørn Følstad, Theo Araujo, Symeon Papadopoulos, Effie Lai-Chong Law, Ole-Christoffer Granmo, Ewa Luger, & Petter Bae Brandtzaeg (Eds.), International workshop on chatbot research and design (pp. 245–259). Springer.
  • Wu, T. T. (2018). Improving the effectiveness of English vocabulary review by integrating ARCS with mobile game-based learning. Journal of Computer Assisted Learning, 34(3), 315–323. https://doi.org/10.1111/jcal.12244
  • Yin, J., Goh, T. T., Yang, B., & Xiaobin, Y. (2021). Conversation technology with micro-learning: The impact of chatbot-based learning on students’ learning motivation and performance. Journal of Educational Computing Research, 59(1), 154–177. https://doi.org/10.1177/0735633120952067
  • Zhang, R., & Zou, D. (2022). Self-regulated second language learning: A review of types and benefits of strategies, modes of teacher support, and pedagogical implications. Computer Assisted Language Learning, 1–38. https://doi.org/10.1080/09588221.2022.2055081
  • Zhang, R., Zou, D., & Xie, H. (2021). Spaced repetition for authentic mobile-assisted word learning: Nature, learner perceptions, and factors leading to positive perceptions. Computer Assisted Language Learning, 1–34. https://doi.org/10.1080/09588221.2021.1888752
  • Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 299–315). New York: Routledge.
  • Zou, D., Zhang, R., Xie, H., & Wang, F. L. (2021). Digital game-based learning of information literacy: Effects of gameplay modes on university students’ learning performance, motivation, self-efficacy and flow experiences. Australasian Journal of Educational Technology, 37(2), 152–170. https://doi.org/10.14742/ajet.6682

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.