SELF-LEARNING ENGLISH WITH AI – PRACTICAL AND ECONOMIC ASPECTS

Authors

  • Irena PANTIĆ Academy of Applied Studies of Kosovo and Metohija, Leposavić, Peć Department, Serbia https://orcid.org/0009-0005-4410-7189
  • Smiljana IGRUTINOVIĆ Academy of Professional Studies Šumadija, Kragujevac, Trstenik Department, Serbia https://orcid.org/0009-0006-8929-6750
  • Slava IVANOVIĆ MILENKOVIĆ Academy of Applied Studies of Kosovo and Metohija, Leposavić, Peć Department, Serbia

DOI:

https://doi.org/10.65536/ufpz21-284695

Keywords:

English language, AI, advantages, disadvantages, applications

Abstract

This paper explores the potential of using artificial intelligence (AI) for self-learning
and self-practising English among university students of economics, law, and engineering.
However, its findings can be readily applied to students of other non-linguistic disciplines, as well
as to learners whose average command of English is below CEFR level C. The paper offers an
overview of popular AI systems and is valuable for several reasons – it presents the AI
applications available to both students and adults; highlights their advantages and limitations,
and thus assists all potential and current users in deciding which to choose. The research is
based on two data sources. The first is a Google form survey completed by students of the Kosovo
and Metohija Academy of Vocational Studies in Leposavić (Peć Department), the Academy of
Professional Studies Šumadija in Kragujevac (Trstenik Department) and the Faculty of Law of
the University of Priština, temporarily seated in Kosovska Mitrovica during the summer semester
2025. The second source is the evaluation of the AI systems conducted by the authors of this
paper. They assessed their qualities and identified the language skills and the level of language
knowledge each application focuses on. The results indicate that students are well-acquainted
with AI applications, with 70% reporting frequent or occasional use. AI tools are used for
learning, entertainment and work. Duolingo, Busuu and Promova ranked highly for vocabulary
learning and speech practice, and Grammarly and Grammar Up for giving spelling, grammar
and writing style guidance – key components of effective English communication. AI applications
also function as conversation partners and support non-traditional language practice, thus
helping to reduce the anxiety of speaking English in public. In addition, the study identifies
certain limitations that can hinder the user's progress – technical difficulties, lack of routine in
use and concerns about the future development of AI, which may implicitly lead to the
dehumanisation of the learning process. In terms of economic viability, AI-assisted English
learning is cost-effective – learners using AI invest time rather than money. They choose the
high-demand skills in the market, and thereby acquire knowledge that increases their own
market value and competitiveness. Access to knowledge becomes broader, and the overall
learning costs are lower. This is especially relevant for individuals with limited educational
opportunities and for marginalised groups, contributing to greater social and economic
inclusion. However, AI-based learning reveals some hidden challenges and uncertainties
regarding the sustainability and quality of the knowledge acquired. It is therefore unlikely that
AI will ever fully replace human teachers. It cannot replicate classroom traits such as emotional
intelligence, adaptability to different needs, creativity, and the ability to develop interpersonal
relationships. Instead, AI can be viewed as a powerful supplement and support for teachers,
enhancing effective and engaging learning for everyone. The optimal strategy for ensuring
quality and sustainability is to combine AI tools with expert guidance and a structured learning
framework. Therefore, teacher education should adapt to these technological trends and include
AI training, while also addressing its limitations, risks and challenges. Consequently, AI should be
embraced as an ally in learning, not a rival. A key prerequisite is that AI is used ethically,
respecting privacy and equal opportunities for all students.
Key words: English language, AI, advantages, disadvantages, applications

References

Annamalai, N., Rashid, R. A., Hashmi, U. M., Mohamed, M., Alqaryouti, M. H. & Sadeq, A. E. (2023). Using chatbots for English language learning in higher education. Computers & Higher Education: Artificial Intelligence 5. https://doi.org/10.1016/j. caeai.2023.100153

Chen, T. (2016). Technology-supported peer feedback in ESL/EFL writing

classes: A research synthesis. Computer Assisted Language Learning, 29

(2), 365–397. https://doi.org/10.1080/09588221.2014.960942

Chon, Y. V., Shin, D. & Kim, G. E. (2021). Comparing L2 learners’ writing

against parallel machine-translated texts: Raters’ assessment,

linguistic complexity and errors. System, 96, 102408.

https://doi.org/10.1016/j. system.2020.102408

Crompton, H., Edmett, A., Ichaporia, N. & Burke, D. (2024). AI and English

language teaching: Affordances and challenges. British Journal of

Educational Technology, 55, 2503–2529.

https://doi.org/10.1111/bjet.13460

Delić, V. (2023).AchievementsintheDevelopmentofSpeechandLanguage

Technologies Basedon AI – BenefitsandRisks. Petar Mandić

Endowment.

https://www.teslamandic.org/en/activities-dialogue/prof-dr-vladodelic-

lecture-speech-language-technology-based-artificialintelligence?

utm_source=chatgpt.com

Dizon, G. &Gayed, J. M. (2021). Examining the impact of Grammarly on the

quality of mobile L2 writing. JALT CALL Journal, 17 (2), 74–92.

https://doi.org/10.29140/jaltcall.v17n2.336

Dizon, G. & Tang, D. (2020). Intelligent personal assistants for autonomous

second language learning: An investigation of Alexa. JALT CALL Journal,

16 (2), 107–120. https://doi.org/10.29140/jaltcall.v16n2.273

Dugošija, T. (2024). Benefits and Challenges of Artificial Intelligence in English

Language Teaching. Knowledge – International Journal.62 (2), 275–280.

https://ojs.ikm.mk/index.php/kij/article/view/6590

Erikson, E. H. (1968). Identity: Youth and Crisis. New York: W. W. Norton &

Company.

Jovanović, J. (2023). Veštačkainteligencijaianalitikeučenja –

mogućnostiiizazovi, Cikluspredavanja – Veštačkainteligencija, SANU.

https://www.sanu.ac.rs/wpcontent/

videos/Predavanja/PredavanjeAI/07.11.2023.mp4. Preuzeto

1. oktobra 2025.

Kavgić, A. (2024). Efektikorišćenjaveštačkeinteligencije u

nastaviengleskogjezika: Studijaslučajanastaveengleskog u

radnomokruženju. GodišnjakuFilozofskogfakulteta u NovomSadu, Knjiga

XLIX-2 (2024), 19–40. https://doi.org/10.19090/gff.v49i2.2534

Kazu, I. Y. &Kuvvetli, M. (2023). The influence of pronunciation education via

artificial intelligence technology on vocabulary acquisition in learningEnglish.

International Journal of Psychology and Educational Studies, 10 (2), 480–493.

https://dx.doi.org/10.52380/ijpes.2023.10.2.1044

Lan, P. S., Liu, M. C., &Baranwal, D. (2020). Applying contracts and online

communities to promote pupil self-regulation in English learning at the

primary-school level. Interactive Learning Environments, 31 (1), 468–

479. https://doi.org/10.1080/10494820.2020.1789674

Li, F. (2015). Fei-Fei Li’s TED talks.

https://www.ted.com/speakers/fei_fei_liPreuzeto 1. oktobra 2025.

Loncar, M., Schams, W., & Liang, J. S. (2023). Multiple technologies, multiple

sources: Trends and analyses of the literature on technology-mediated

feedback for L2 English writing published from 2015–2019. Computer

Minić, S. G., & Deretić, N. N. (2024). Application of artificial intelligence in

education: Chatbot ChatGPT. Obrazovanje i vaspitanje, 19(22), 61-

72. https://doi.org/10.5937/obrvas19-54678 Assisted Language

Learning, 36 (4), 722–784.

https://doi.org/10.1080/09588221.2021.1943452

Veljković Michos, M. (2024). Veštačka inteligencija I učenje jezika: zamena za

nastavnika ili dodatni alat? https://jezikufokusu.rs/visejezicnost-imultikulturalnost/

vestacka-inteligencija-i-ucenje-jezika-zamena-zanastavnika-

ili-dodatni-alat. Preuzeto 1. oktobra 2025.

Marjanovikj-Apostolovski, M. (2024). ChatGPT as a Learning Tool in an

Undergraduate Advanced Academic English Course at South East

University. Journal of Teaching English for Specific and Academic

Purposes, 12 (1), 243–254.

https://doi.org/10.22190/JTESAP240131020M

McCarthy, J. (2007). What is Artificial Intelligence? Stanford University

http://jmc.stanford.edu/articles/whatisai/whatisai.pdfPreuzeto 1. oktobra

2025.

Minsky, M. &Papert, S. (1969). Perceptrons. Massachusetts: Institute of

Technology.

Möller et al. (2024). Revolutionising Distance Learning: A Comparative Study

ofLearning Process with AI-Driven Tutoring. IU International University

of Applied Sciences https://iu-international-university-of-applied-sciencesresearch-

papers.s3.eu-central-

1.amazonaws.com/pfjknzpkrcffpfddyypgztbyggxxwnxw.pdf

Musk, E. (2017). AI is a fundamental existential risk for human civilisation

and creators must slow down. https://www.independent.co.uk/

tech/elon-musk-ai-human-civilisation-existential-risk-artificialintelligence-

creator-slow-down-tesla-a7845491.html. Preuzeto 1. oktobra

2025.

Peters, M. A. (2017). Technological unemployment: Educating for the fourth

industrial revolution.Educational Philosophy and Theory,49 (1), 1-

6.https://doi:10.1080/00131857.2016.1177412

Plantak, M. & Štefotič, V. L. (2024). Artificial Intelligence and the Future of

OnlineLearning: Opportunities and Challenges. Ubiquity Proceedings,

4(1): 24. https://doi.org/10.5334/uproc.146

Stephany F. &Teutloff O. (2024). What is the Price of a Skill? The Value of

Complementarity. Research Policy, 53 (1),1-57

https://doi.org/10.1016/j.respol.2023.104898

Stošić, L. (2024). Application of Artificial Intelligence in Language Skills

Testing. Anglisticum Journal. 13(1), 21–34.

https://doi.org/10.58885/ijllis.v13i1.22ls

Stöhr, C., Ou, A. W. & Malmström, H. (2024). Perceptions and usage of AI

chatbots among students in higher educationacross genders, academic

levels and fields of study. Computers and Education: Artificial

Intelligence 7, 100259, 1-12.

https://doi.org/10.1016/j.caeai.2024.100259

Varghese N. N., Jose B., Bindhumol T., Cleetus A. & Nair SB (2025) The power

duo: unleashingcognitive potential through human-AI synergyin STEM

and non-STEM education.Frontiers in Education. 10:1534582.

https://doi.org/10.3389/feduc.2025.1534582

Wang, K. D., Wu, Z., Tufts II, L., Wieman, C., Salehi, S., & Haber, N. (2024).

Scaffold or Crutch? Examining College Students' Use and Views of

Generative AI Tools for STEM Education. ArXiv.

https://doi.org/10.48550/arXiv.2412.02653

Yang, H. &Kyun, S. (2022). The current research trend of artificial intelligence

in language learning: A systematic empirical literature review from an

activity theory perspective. Australasian Journal of Educational

Technology, 38(5), 180–210. https://doi.org/10.14742/ajet.7492

Zhang, R., & Zou, D. (2023). A review of research on technology-enhanced

peer feedback for second language writing based on the activity theory

framework. Education and Information Technologies, 28, 6727–6753.

https://doi.org/10.1007/s10639-022-11469-8

Downloads

Published

25.06.2026

How to Cite

PANTIĆ, I., IGRUTINOVIĆ, S., & IVANOVIĆ MILENKOVIĆ, S. (2026). SELF-LEARNING ENGLISH WITH AI – PRACTICAL AND ECONOMIC ASPECTS. Obrazovanje I Vaspitanje, 21(25), 79–116. https://doi.org/10.65536/ufpz21-284695