VOlUME 06 ISSUE 06 JUNE 2023
1Margaret BR Tobing,2Fizri Ismaliana SNA,3Nadya Risky Hayrunnisa,4Nur Indah Tika Haswuri,5Cucu Sutarsyah,6Feni Munifatullah
1,2,3,4,5,6Faculty of Teacher Training and Education, University of Lampung, Bandar Lampung, Indonesia
DOI : https://doi.org/10.47191/ijsshr/v6-i6-78Google Scholar Download Pdf
ABSTRACT
The aim of this study is to analyze the technologies which are currently being used in foreign language teaching and learning English as an applied language at the university level based on the findings of the detected experimental studies. The PRISMA criteria for systematic reviews and meta-analyses were compiled in the methodology. The findings of the experimental studies shown the lack of innovative technologies, such as chatbots or virtual reality (VR) devices, which are commonly utilized in foreign language (FL) education. Furthermore, mobile apps are primarily concerned with the acquisition of foreign language vocabulary. The findings shown that foreign language teachers might allegedly understand the latest technology devices, such as neural machine translation, they do not combine them accurately in their teaching process. As a result, this study indicates that teachers should be educated and know how to employ them in their foreign language lessons as well as traditional instruction in order to determine which skills or structures of language could have been created as a result of their use. Additionally, it is suggested that further experimental studies must be conducted to explicate the evidence and how useful it is in teaching a foreign language as an applicable language.
KEYWORDS:English as a foreign language; applied language; artificial intelligence (AI)
REFERENCES
1) Abdelrady, A.H.; Akram, H. An empirical study of ClassPoint tool application in enhancing EFL students’ online
learning satisfaction. Systems 2022, 10, 154. https://doi.org/10.3390/systems10050154
2) Adilbayeva, U.; Mussanova, G.A.; Mombekova, N.B.; Suttibayev, N. (2022) Digital communication technology for
teaching a foreign language and culture through reading. Int. J. Soc. Cult. Lang. 2022, 10, 21–30.
3) Aidinlou, N. A., Alemi, M., Farjami, F., & Makhdoumi, M. (2014). Applications of robot assisted language learning (RALL)
in language learning and teaching. International Journal of Language and Linguistics, 2(3-1), 12–20.
https://doi.org/10.11648/j.ijll.s.2014020301.12
4) Alemi, M., Meghdari, A., & Ghazisaedy, M. (2014). Employing humanoid robots for teaching English language in
Iranian junior high-schools. International Journal of Humanoid Robotics, 11(3), Article 1450022.
5) https://doi.org/10.1142/S0219843614500224
6) Alemi, M., Meghdari, A., & Haeri, N. S. (2017). Young EFL learners’ attitude towards RALL: An observational study
focusing on motivation, anxiety, and interaction. In A. Kheddar, E. Yoshida, S. S. Ge, K. Suzuki, J.-J. Cabibihan, F.
Eyssel, & H. He (Eds.), Proceedings of the International Conference on Social Robotics (pp. 252–261). Springer.
https://doi.org/10.1007/978-3-319-70022-9_25
7) Alenezi, S.; Elias Bensalem, E. (2022).The effect of using Whatsapp on EFL students’ medical English vocabulary
learning during the COVID-19 pandemic. Engl. Stud. NBU 2022, 8, 29–42. https://doi.org/10.33919/esnbu.22.1.2
8) Banaeian, H.; Gilanlioglu, I. (2021). Influence of the NAO robot as a teaching assistant on university students’ vocabulary learning and attitudes.
Australas. J. Educ. Technol. 2021, 37, 71–87. https://doi.org/10.14742/ajet.6130
9) Browne, C., & Culligan, B. (2008). Combining technology and IRT testing to build student knowledge of high frequency
vocabulary. The JALT CALL Journal, 4(2), 3–16.
https://journal.jaltcall.org/storage/articles/JALTCALL%204-2-3.pdf
10) Cameron, D. (2001). Working with spoken discourse. Sage.
11) Cehan, A. (2014). English pedagogical lexicography: A few milestones. The Journal of Linguistic and Intercultural
Education, 7, 69–80. http://jolie.uab.ro/upload/12_126_5cehan_anca.pdf
12) Chen, C., Gao, Q., Song, Z., Liping, O., & Wu, X. (2010). Catering service robot. In Proceedings of WCICA 2010: 8th
World Congress on Intelligent Control and Automation (pp. 599–604). IEEE.
https://doi.org/10.1109/WCICA.2010.5553843
13) Chon, W.Y.; Shin, G.; Kim., D. (2020). Comparing L2 learners’ writing against parallel machine- translated texts:
Raters’ assessment, linguistic complexity and errors. System 2020, 96, 102408.
https://doi.org/10.1016/j.system.2020.102408
14) Chung, B.; Bong, H.K.M. (2022). A study on the intelligibility of Korean-Accented English: Possibilities of
implementing AI applications in English education. J. Asia TEFL 2022, 19, 19.
15) Cleveland-Marwick, K. (Ed.). (2013). Longman collocations dictionary and thesaurus. Pearson Education.
16) Creswell, J. W. (2009). Research design: Qualitative and mixed methods approaches. Sage Publications.
17) Dizon, G. Evaluating intelligent personal assistants for L2 listening and speaking development. Lang. Learn. Technol. 2020,24, 16–26.
18) Dalton, B., & Grisham, D. L. (2011). eVoc strategies: 10 ways to use technology to build vocabulary. The Reading
Teacher, 64(5), 306–317. https://doi.org/10.1598/RT.64.5.1
19) de Wit, J., Schodde, T., Willemsen, B., Bergmann, K., de Haas, M., Kopp, S., Krahmer, E., & Vogt, P. (2018). The effect
of a robot’s gestures and adaptive tutoring on children’s acquisition of second language vocabularies. In Proceedings of
the 2018 ACM/IEEE International Conference on Human- Robot Interaction (pp. 50–58). Association for Computing
Machinery. https://doi.org/10.1145/3171221.3171277
20) Eimler, S., von der Putten, A., & Schachtle, U. (2010). Following the white rabbit—A robot rabbit as vocabulary trainer
for beginners of English. In G. Leitner, M. Hitz, & A. Holzinger (Eds.), HCI in work and learning, life and leisure (pp.
322–339). Springer. https://doi.org/10.1007/978-3-642-16607 - 5_22
21) Gass, S. M. (1997). Input, interaction, and the second language learner. Erlbaum.
22) Gordon, G., Spaulding, S., Westlund, J. K., Lee, J. J., Plummer, L., Martinez, M., Das, M., & Breazeal, C. (2016).
Affective personalization of a social robot tutor for children’s second language skills. In Proceedings of the Thirtieth
AAAI Conference on Artificial Intelligence (pp. 3951–3957). Association for the Advancement of Artificial Intelligence.
https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/download/11759/12184
23) Han, J. (2012). Emerging technologies: Robot assisted language learning. Language Learning & Technology, 16(3), 1–9.
http://llt.msu.edu/issues/october2012/emerging.pdf
24) Herberg, J. S., Feller, S., Yengin, I., & Saerbeck, M. (2015). Robot watchfulness hinders learning performance. In
Proceedings of the 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (pp. 153–
160). IEEE. https://doi.org/10.1109/ROMAN.2015.7333620
25) Hiebert, E. H., & Kamil, M. L. (2005). Teaching and learning vocabulary: Bringing research to practice. Routledge.
https://doi.org/10.4324/9781410612922
26) Hong, Z. W., Huang, Y. M., Hsu, M., & Shen, W. W. (2016). Authoring robot-assisted instructional materials for
improving learning performance and motivation in EFL classrooms. Journal of Educational Technology & Society,
19(1), 337–349. https://www.jstor.org/stable/10.2307/jeductechsoci.19.1.337
27) Hsiao, H. S., Chang, C. S., Lin, C. Y., & Hsu, H. L. (2015). “iRobiQ”: The influence of bidirectional interaction on
kindergarteners’ reading motivation, literacy, and behavior. Interactive Learning Environments, 23(3), 269–292.
https://doi.org/10.1080/10494820.2012.745435
28) Hung, H. T., Yeh, H. C., & Chiang, C. W. (2016). Computer assisted vocabulary learning: Examining English language
learners' vocabulary notebooks. In T. Matsuo (Ed.), Proceedings of the 5th IIAI International Congress on Advanced
Applied Informatics (pp. 381–385). IEEE. https://doi.org/10.1109/IIAI-AAI.2016.158
29) Hunston, S. (2002). Corpora in applied linguistics. Cambridge University
Press.https://doi.org/10.1017/CBO9781139524773
30) Hyun, E. J., Kim, S. Y., Jang, S., & Park, S. (2008). Comparative study of effects of language instruction program using
intelligence robot and multimedia on linguistic ability of young children. In Proceedings of the 17th IEEE International
Symposium on Robot and Human Interactive Communication (pp. 187–192). IEEE.
https://doi.org/10.1109/ROMAN.2008.4600664
31) Iio, T., Maeda, R., Ogawa, K., Yoshikawa, Y., Ishiguro, H., Suzuki, K., Aoki, T., Maesaki, M., & Hama,
32) M. (2018). Improvement of Japanese adults’ English speaking skills via experiences speaking to a robot. Journal of
Computer Assisted Learning, 35(2), 228–245. https://doi.org/10.1111/jcal.12325
33) In, J., & Han, J. (2015). The acoustic-phonetics change of English learners in robot assisted learning. In Proceedings of
the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts (pp. 39–40).
Association for Computing Machinery. https://doi.org/10.1145/2701973.2702003
34) Kennedy, G. (2014). An introduction to corpus linguistics. Routledge. https://doi.org/10.4324/9781315843674
35) Kennedy, J., Baxter, P., Senft, E., & Belpaeme, T. (2016). Social robot tutoring for child second language learning. In
Proceedings of the 11th ACM/IEEE International Conference on Human-Robot Interaction (pp. 231–238). IEEE.
https://doi.org/10.1109/HRI.2016.7451757
36) Krashen, S. (1982). Principles and practice in second language acquisition. Pergamon Press.
http://www.sdkrashen.com/content/books/principles_and_practice.pdf
37) Lee, S., Noh, H., Lee, J., Lee, K., Lee, G. G., Sagong, S., & Kim, M. (2011). On the effectiveness of robot-assisted
language learning. ReCALL, 23(1), 25–58. https://doi.org/10.1017/S0958344010000273
38) Long, M. H. (1983). Native speaker/non-native speaker conversation and the negotiation of comprehensible input.
Applied Linguistics, 4(2), 126–141. https://doi.org/10.1093/applin/4.2.126
39) Long, M. H. (1996). The role of the linguistic environment in second language acquisition. In W. C.
40) Ritchie & T. K. Bhatia (Eds.), Handbook of second language acquisition (Vol. 2, pp. 413–468). Elsevier.
41) McClanahan, L. (2014). Training using technology in the adult ESL classroom. Journal of Adult Education, 43(1), 22–
27. https://doi.org/10.11613/BM.2012.031
42) McHugh, M. L. (2012). Interrater reliability: The kappa statistic. Biochemia Medica, 22(3), 276–282.
https://doi.org/10.11613/BM.2012.031
43) Meghdari, A., Alemi, M., Ghazisaedy, M., Taheri, A. R., Karimian, A., & Zandvakili, M. (2013).
44) Applying robots as teaching assistant in EFL classes at Iranian middle-schools. In P. Dondon (Ed.), Proceedings of the
International Conference on Education and Modern Educational Technologies (pp. 67–73). Institute for Natural Sciences
and Engineering. http://www.inase.org/library/2013/venice/EMET.pdf
45) Meiirbekov, S., Balkibekov, K., Jalankuzov, Z., & Sandygulova, A. (2016). “You win, I lose”: Towards adapting robot’s
teaching strategy. In Proceedings of the 11th ACM/IEEE International Conference on Human-Robot Interaction (pp.
475–476). IEEE. https://doi.org/10.1109/HRI.2016.7451813
46) Motallebzadeh, K., & Ganjali, R. (2011). SMS: Tool for L2 vocabulary retention and reading comprehension ability.
Journal of Language Teaching & Research, 2(5), 1111–1115. https://doi.org/10.4304/jltr.2.5.1111-1115
47) Movellan, J. R., Eckhardt, M., Virnes, M., & Rodriguez, A. (2009). Sociable robot improves toddler vocabulary skills. In
Proceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction (pp. 307–308). Association for
Computing Machinery. https://doi.org/10.1145/1514095.1514189
48) Mubin, O., Stevens, C. J., Shahid, S., Al Mahmud, A., & Dong, J. J. (2013). A review of the applicability of robots in
education. Technology for Education and Learning, 1, 1–7. https://doi.org/10.2316/Journal.209.2013.1.209-0015
49) Nation, I. S. P. (2001). Learning vocabulary in another language. Cambridge University
Press.https://doi.org/10.1017/CBO9781139524759
50) Nejati, E., Jahangiri, A., & Salehi, M. R. (2018). The effect of using computer-assisted language learning (CALL) on
Iranian EFL learners' vocabulary learning: An experimental study. Cypriot Journal of Educational Sciences, 13(2), 351–
362. https://doi.org/10.18844/cjes.v13i2.752
51) Papert, S. (1993). The children’s machine: Rethinking school in the age of the computer. Basic Books.
52) Pica, T. (1994). Research on negotiation: What does it reveal about second‐language learning conditions, processes, and
outcomes? Language learning, 44(3), 493–527. https://doi.org/10.1111/j.1467- 1770.1994.tb01115.x
53) Read, J. (2000). Assessing vocabulary. Cambridge University Press.
https://doi.org/10.1017/CBO9780511732942
54) Rosenthal-von der Pütten, A. M., Straßmann, C., & Krämer, N. C. (2016). Robots or agents–neither helps you more or
less during second language acquisition. In D. Traum, W. Swartout, P. Khooshabeh, S.
55) Kopp, S. Scherer, & A. Leuski (Eds.), Proceedings of the International Conference on Intelligent Virtual Agents (pp.
256–268). Springer. https://doi.org/10.1007/978-3-319-47665-0_23
56) Schmitt, D., Schmitt, N. (2011). Focus on vocabulary 2: Mastering the academic word list. Pearson Education.
57) Schmitt, N. (2000). Vocabulary in language teaching. Cambridge University Press.
58) Schmitt, N., Schmitt, D., & Clapham, C. (2001). Developing and exploring the behavior of two new versions of the
Vocabulary Levels Test. Language Testing, 18(1), 55–88. https://doi.org/10.1177/026553220101800103