Meiramova, Saltanat
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Synchronous or Asynchronous: Students’ Perceptions And Learning Outcomes In Teaching English For Young Learners (TEYL) Courses Astutik, Yuli; Megawati, Fika; Shofiyah, Noly; Mandarani, Vidya; Meiramova, Saltanat; Tamara , Pasya Rahma
Script Journal: Journal of Linguistics and English Teaching Vol. 10 No. 2 (2025): October
Publisher : Teacher Training and Education Faculty, Widya Gama Mahakam Samarinda University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/sj.v10i2.2170

Abstract

Background: Despite the growing adoption of online learning, limited research has examined how synchronous and asynchronous modalities affect pre-service teachers’ mastery of pedagogical theories in Teaching English for Young Learners (TEYL) courses. During the COVID-19 shift to remote teaching, TEYL teacher education faced the challenge of ensuring future teachers developed adequate pedagogical content knowledge despite reduced face-to-face interaction. This study addresses this gap by investigating the relationship between students’ perceptions of synchronous (Zoom) and asynchronous (Moodle) learning and their academic performance in TEYL course.   Methodology: This quantitative ex post facto study involved 71 fifith-semester students enrolled in TEYL course, divided into a synchronous class (n=40) and an asynchronous class (n=31). Data were collected through a validated 34-item perception questionnaire (Cronbach’s α = 0.87) and midterm exam scores. While the sample size was relatively small, it provided initial evidence of how different modalities function in a teacher education context.   Findings: Regression analysis revealed a significant positive relationship between students’ perceptions and their midterm exam scores in both modalities ((R² = .309 synchronous; R² = .325 asynchronous). However, independent t-test results showed no statistically significant difference in exam performance between the two groups (t(69) = 0.165, p = 0.87).   Conclusion: These findings suggest that well-structured synchronous and asynchronoous learning can both support TEYL teacher education effectively, provided that instructional design aligns with students’ need and course objectives.   Originality: This study is original in its focus on pre-service teachers in TEYL course an underexplored participant group and highlights how modality choice interacts with students’ perceptions to shape learning outcomes. Its findings offer practical insights for teacher educators designing blended or hybrid curricula in the post-pandemic era.
AI use in teaching module and assignment development: Reported practices from Indonesian EFL pre-service teachers Megawati, Fika; Agustina, Sheila; Amrullah, Muhlasin; Meiramova, Saltanat; Wulandari, Fitria; Rahmahwati, Tia
Journal of Research on English and Language Learning (J-REaLL) Vol. 7 No. 1 (2026): Journal of Research on English and Language Learning (J-REaLL)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/j-reall.v7i1.24622

Abstract

The rapid development of artificial intelligence (AI) in education has not been matched by sufficient research on how pre-service English as a foreign language (EFL) teachers perceive the use of AI for developing instructional modules. This study explores these perceptions among pre-service EFL teachers from three universities in Indonesia who already have experience using AI. Most participants were female, in the final stage of their studies, and enrolled in a micro-teaching course. A survey was administered using an online questionnaire to investigate the practices and experiences of AI among pre-service teachers and analyzed using descriptive quantitative methods. The findings show that the pre-service teachers were enthusiastic yet cautious in using AI. Many used AI regularly, while others used it occasionally. They perceived clear benefits of AI, particularly in generating ideas, improving efficiency, and enhancing the quality of learning materials. AI was most commonly used to design lesson topics, develop content, and create test items. However, several challenges were identified, including plagiarism risks, inconsistent AI-generated outputs, and concerns about overreliance on AI. ChatGPT was the most frequently used tool, and participants expressed interest in more adaptive features that tailor content to students’ needs. The study recommends that AI use in teacher education be guided by instructors, with limited use in student assignments to maintain ethical standards and critical thinking skills. These findings provide valuable insights into AI literacy and pedagogical AI applications, contributing to the development of AI-adaptive teacher education curricula.