Главен редактор
  • проф. д-р Христина Николова
Редакционен съвет
  • проф. д-р Христина Николова, УНСC
  • проф. д.с.н. Елка Тодорова, УНСС
  • проф. д.н. Мая Ламбовска, УНСС
  • доц. д-р Тодор Недев, УНСС
  • доц. д-р Дорина Кабакчиева, УНСС
  • доц. д-р Паскал Желев, УНСС
Научен секретар
  • доц. д-р Александър Вълков, УНСС
Координатор
  • ас. д-р Веселина Любомирова, УНСС
Международен редакционен съвет
  • Damian Stantchev, PhD
    Edinburgh NAPIER University, UK

  • Ivaylo Vassilev, PhD
    University of Southampton,UK

  • Prof. Irina Kuzmina-Merlino, PhD
    Transport and Telecommunication Institute, Riga

  • Milan Zdravkovic
    University of Niš, Serbia

  • Prof. Niculae Mihaita, PhD
    Bucharest Academy of Economic Studies, Romania

  • Prof. Ricardo Jardim-Gonçalves, PhD
    UNINOVA institute, New University of Lisbon, Portugal

  • Prof. Ing. Jaroslav Belás, PhD
    Tomas Bata University in Zlín, Czech Republic

  • Prof. John Rijsman, PhD
    Tilburg University

  • Prof. Ing. Zdenek Dvorák, PhD
    University of Zilina, Slovak Republic

  • Prof. Zoran Cekerevac, PhD
    “Union – Nikola Tesla” University in Belgrade, Serbia

Institutional Readiness for Artificial Intelligence in English Language Teaching: A Reflective-Documentary Analysis of Mexican Universities
Научни трудове на УНСС - Том 2/2026
година 2026
Брой 2

Institutional Readiness for Artificial Intelligence in English Language Teaching: A Reflective-Documentary Analysis of Mexican Universities

Резюме

The integration of Artificial Intelligence (AI) into English Language Teaching (ELT) has gained increasing attention in higher education. However, its effective adoption depends not only on pedagogical innovation but also on institutional readiness. This study examines institutional readiness for AI integration in ELT at Mexican universities through an exploratory, qualitative, and reflective-documentary approach, drawing on academic literature, institutional reports, and practitioner-based reflection. The analysis identifies key dimensions of readiness, including technological infrastructure, faculty development, institutional policies, and organizational culture. It suggests that AI integration is often driven by individual instructor initiative rather than coordinated institutional strategies, while structural constraints continue to shape its implementation. This study contributes to current debates by offering a context-sensitive, institutionally focused perspective on AI readiness in Mexican higher education.

JEL: I23, O33, I28

Ключови думи

higher education, artificial intelligence, English language teaching, institutional readiness, Mexican universities
Свалете RP.2026.2.04.pdf
ABSTRACTING AND INDEXING

ISSN (print): 0861-9344
ISSN (online): 2534-8957