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ORIGINAL RESEARCH article

Front. Educ.

Sec. Digital Learning Innovations

Volume 10 - 2025 | doi: 10.3389/feduc.2025.1670892

This article is part of the Research TopicArtificial Intelligence for Technology Enhanced LearningView all articles

Evaluating the Effectiveness of Digital Scenario-Based English Teaching at the University Level using the Artificial Intelligence Generated Content (AIGC)

Provisionally accepted
  • 1Prince Sultan University, Riyadh, Saudi Arabia
  • 2Soochow University School of Education, Suzhou, China
  • 3University of Gujrat, Gujrat, Pakistan

The final, formatted version of the article will be published soon.

ABSTRACT: This study evaluates the effectiveness of digital scenario-based English conversation teaching at the university level using Artificial Intelligence Generated Content (AIGC). This study aims to design a digital-scenario-based AIGC teaching model, to evaluate its effectiveness on the learning experience and communication skills of the students, and to identify the pedagogical and technical challenges related to it. Through the mixed-method approach that involves 130 first-year English majors at the Punjab University of Pakistan, the research applied a comparative experiment of 18 weeks (experimental group: AIGC Framework; Control Group: Traditional Methods). The results demonstrated that the AIGC model dynamically generated the pronunciation, language accuracy, and communication flow compared to the scenario-generated, interactive functions, and the personal response in real-time. Additionally, the model increased learning interest, work adaptability, and teacher-student interactions. However, challenges included the quality of incompatible material, limited emotional depth in AI interaction, technical adaptability barriers for less efficient students and risks of more dependence on technology. The study concludes that while AIGC provides transformational ability to learn individual, immersive language, its successful integration requires advanced teacher training, strong material review mechanisms, and analogous support for diverse learners. The recommendations highlight refining cultural relevance, ensuring moral deployment, and discovering multimodal AI integration for future educational innovation.

Keywords: Artificial Intelligence Generated Content (AIGC), Digital Scenario-Based Learning, english language teaching, Communication skills development, Higher education innovation

Received: 22 Jul 2025; Accepted: 22 Aug 2025.

Copyright: © 2025 Younas, Noor, El-Dakhs and Anwar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Muhammad Younas, Prince Sultan University, Riyadh, Saudi Arabia

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