Empowering Language Assessment: The Pioneering Role Of Artificial Intelligence

Authors

  • Nurus Sufiyah Lailatul Hidayah Universitas PGRI Adi Buana Surabaya
  • Faidatuz Zahroini Hasyim Universitas PGRI Adi Buana Surabaya
  • Vira Yunita Universitas PGRI Adi Buana Surabaya

DOI:

https://doi.org/10.30640/dewantara.v2i3.1587

Keywords:

Artificial intelligence, Language assessment, Language testing

Abstract

The integration of Artificial Intelligence (AI) in language assessment has revolutionized the field, offering innovative solutions to longstanding challenges. This paper explores the transformative impact of AI in language assessment, emphasizing its pioneering role in enhancing accuracy, efficiency, and inclusivity. Through an extensive literature review, this study analyzes various AI-based language assessment methodologies, including automated essay scoring, speech recognition, natural language processing, and adaptive testing. By examining the strengths and limitations of each approach, we unravel the capabilities of AI in tailoring assessments to individual learners' needs, providing personalized and constructive feedback.

References

Markus Friedl., Markus Ebner., Martin Ebner. (2020). Mobile Learning Applications for Android und iOS for German Language Acquisition Based on Learning Analytics Measurements. https://doi.org/10.3991/ijai.v2i1.12317

Gough, D., Thomas, J., & Oliver, S. (2017). An introduction to systematic reviews. SAGE Publications Ltd. 1-352. http://digital.casalini.it/9781473968219

M. Martínez-Comesana, ˜ X. Rigueira-Díaz, A. Larranaga-Janeiro ˜ et al. (2023). Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review, Revista de Psicodidáctica, Published by Elsevier Espan˜a, https://doi.org/10.1016/j.psicoe.2023.06.002

Moher, D. (2021b). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, Article 105906 https://doi.org/10.1136/bmj.n71

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J.,Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . &

Ran, D., Yingli, W., & Haoxin, Q. (2020). Artificial intelligence speech recognition model for correcting spoken English teaching. Journal of Intelligent & Fuzzy Systems, 1–12. doi:10.3233/jifs-189388

Robin, Bernard R. (2008). “Digital Storytelling: A Powerful Technology Tool for the 21st Century Classroom.” In: Theory into Practice 47.3, pp. 220–228. (cit. on p. 3). https://doi.org/10.1080/00405840802153916

Shen, L. (2021). Data mining artificial intelligence technology for college english test framework and performance analysis system. Journal of Intelligent & Fuzzy Systems, 40(2), 3489–3499. doi:10.3233/jifs-189386

Downloads

Published

2023-08-30

How to Cite

Nurus Sufiyah Lailatul Hidayah, Faidatuz Zahroini Hasyim, & Vira Yunita. (2023). Empowering Language Assessment: The Pioneering Role Of Artificial Intelligence . Dewantara : Jurnal Pendidikan Sosial Humaniora, 2(3), 262–269. https://doi.org/10.30640/dewantara.v2i3.1587