Smart Technology and Language Education

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Language and Literacy Education".

Deadline for manuscript submissions: closed (22 February 2025) | Viewed by 862

Special Issue Editor


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Guest Editor
Department of English Language Education, The Education University of Hong Kong, Tai Po, Hong Kong
Interests: artificial intelligence; smart technology; educational technology; teacher education; blended and online learning; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue explores the transformative role of smart technology in language education globally, highlighting its potential to revolutionize teaching and learning practices. As generative artificial intelligence and virtual reality create increasingly immersive and personalized learning environments, educators face exciting opportunities and significant challenges (Kohnke et al., 2023a; Wu et al., 2024). Mobile applications have expanded access to language learning, enabling flexible, on-the-go study while catering to diverse learning styles (Stockwell, 2022). However, these technological advancements can also lead to technostress and equity issues, underscoring the need for effective integration strategies and support for educators and students (Kohnke et al., 2024; Upadhyaya & Vrinda, 2021; Wang & Zhao, 2023).

The use of machine translation tools in classrooms presents both promising possibilities and challenges in maintaining language proficiency standards (Tavares et al., 2023; Urlaub, & Dessein, 2022). Blended and online learning models, which seamlessly integrate traditional and digital methods, offer a comprehensive approach that can enhance language instruction and student engagement (Kohnke & Moorhouse, 2021; Stickler, 2022). As technology evolves rapidly, addressing ethical considerations, data privacy, and security becomes increasingly critical (Nguyen et al., 2023).

Through this Special Issue, we aim to provide a nuanced understanding of the future of language education in a technology-driven world, fostering innovative solutions and informed discussions. We welcome in-depth, full-length research papers and systematic reviews that draw insights from various disciplines, including education, technology, linguistics, and cognitive science. By examining these multifaceted aspects, we seek to equip educators, researchers, and policymakers worldwide with the insights needed to navigate the complex landscape of smart-technology-enhanced language education.

Moreover, by delving into the transformative impact of smart technology on language education worldwide, this Special Issue examines how innovations respace teaching and learning practices across diverse global contexts. By highlighting these technologies’ opportunities and challenges, this issue aims to provide insights into effective integration strategies and foster international dialogue. 

This Special Issue welcomes in-depth, full-length research papers and systematic reviews on the following themes:

  • AI and Immersive Technologies in Language Learning: Exploring the use of artificial intelligence, virtual reality, and augmented reality to personalize and enhance language education and acquisition.
  • Mobile and Game-Based Learning: Evaluating the effectiveness of language learning apps, mobile platforms, and gamification in motivating and engaging language learners.
  • Machine Translation and Language Teaching: The role and impact of translation technologies in language learning and proficiency development.
  • Technostress, Teacher Adaptation, and Equity: Addressing challenges in integrating smart technologies and ensuring global equal access to technology-enhanced language learning resources.
  • Equity and Access: Ensuring equal access to technology-enhanced language learning resources.
  • Data Privacy and Ethics: Navigating the ethical considerations of using smart technology in education.
  • Blended Learning Models and Future Trends: Combining traditional and digital methods for effective language instruction and predicting future technological advancements in language education.

These themes stimulate comprehensive discussions and research that can inform policy, practice, and future directions in technology-enhanced language education.

In this Special Issue, original research articles and reviews on the abovementioned themes are welcome.

I look forward to receiving your contributions.

Dr. Lucas Kohnke
Guest Editor

Manuscript Submission Information

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Keywords

  • smart technology
  • language education
  • artificial intelligence
  • virtual reality
  • mobile learning
  • gamification
  • Technostress
  • blended learning
  • machine translation
  • educational innovation

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Published Papers (1 paper)

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Research

17 pages, 1101 KiB  
Article
“Wow! This Is So Cool”: Learning Spanish with Augmented Reality
by Wanju Huang, Shamila Janakiraman, Anthony Ilobinso and Nedim Slijepcevic
Educ. Sci. 2025, 15(3), 379; https://doi.org/10.3390/educsci15030379 - 19 Mar 2025
Viewed by 332
Abstract
Augmented Reality (AR) enables users to see or interact with virtual objects in real-world environments. This case study examines three AR lessons integrated into a beginner-level Spanish course at a university. The participants were 18 undergraduate students enrolled in this class. The AR [...] Read more.
Augmented Reality (AR) enables users to see or interact with virtual objects in real-world environments. This case study examines three AR lessons integrated into a beginner-level Spanish course at a university. The participants were 18 undergraduate students enrolled in this class. The AR lessons portrayed a classroom, a coffee shop, and a family setting aimed at improving students’ retention of Spanish vocabulary related to each AR environment. The research data included pre-test and post-test scores, in-class observations, and interviews. Paired-sample t-tests were conducted before and after the AR sessions to examine vocabulary retention. The quantitative findings revealed significant differences in test scores among all three interventions, suggesting the efficacy of AR-based learning methods. A thematic analysis was conducted on qualitative data, encompassing interviews with six students and in-class observations. Students shared that the AR-based lessons made learning more engaging and enhanced vocabulary recall. Student interactions increased, and the AR-based lessons inspired students to transition from technology users to designers. This study addresses the need for more AR learner-centered empirical studies in learning Spanish and provides implications for AR educational application design and implementations. Full article
(This article belongs to the Special Issue Smart Technology and Language Education)
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