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Are Future Teachers ‘Tech-savvy'? A Correlational Study on Attitudes and Perceptions of Mobile-Assisted Language Learning in the Era of Digitalized Education

  • Aiden Rose F. Domingo
  • , Frenz Djaxxas D. Clorion
  • , Lovelle Diocess S. Lauzon
  • , Manuel R. Tanpoco
  • , Edison B. Estigoy
  • , Angel Torres-Toukoumidis
  • , Abee M. Eijansantos
  • , Erwin F. Maturan
  • , Richard M. Rillo
  • , Cimon E. Pantaleon
  • , Christopher Iris Francisco
  • , Marianet R. Delos Santos
  • , Ericson O. Alieto

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

Resumen

This investigation offers crucial insights into the attitudes and perceptions of prospective language teachers toward mobile-assisted language learning (MALL). The study employed a descriptive-quantitative-correlational research design. A total of 208 respondents were chosen for the investigation; 138 (66.3%) were females, and 70 (33.7%) were males. Those aged >20 years represented 48.1% of the total population. To provide accurate gathering of significant data, the investigation utilized a research instrument, which revealed that the instrument had good reliability for interpreting Cronbach's alpha. The collected data were subjected to one-way ANOVA, the Pearson product moment coefficient test and descriptive analysis. The results revealed that most of the respondents (53.8%) had a positive attitude toward the use of mobile phones, as mobile phones facilitate the process of learning, create an interactive learning environment (74.0%), and provide authentic language learning opportunities (83.7%), which is crucial in the 21st century, where technology and language learning come together. The investigation also revealed challenges that pose risk toward MALL, such as the expensive price of mobile phones (84.6%), high costs of internet services (85.6%), and slow internet connections (78.4%), which could impede the language teaching/learning process.

Idioma originalInglés
Páginas (desde-hasta)147-155
Número de páginas9
PublicaciónProcedia Computer Science
Volumen263
DOI
EstadoPublicada - 2025
Evento2024 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2024 - Porto, Portugal
Duración: 29 oct 202431 oct 2024

Nota bibliográfica

Publisher Copyright:
© 2025 The Authors. Published by Elsevier B.V.

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