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Acta Pedagogia Asiana
Published by Tecno Scientifica
ISSN : -     EISSN : 29636442     DOI : https://doi.org/10.53623/apga
Core Subject : Education,
Education Other
The journal welcomes submissions regardless of methodological approach, we expect all manuscripts to include a nuanced consideration and rich discussion of results in relation to the research and broader context of teaching and learning. Though we prioritize empirical work, purely theoretical manuscripts will also be considered. Topics: Higher education Continuing Professional Development Adult Education and Lifelong Learning Teachers & Teacher Education Teaching & Learning Science Education (Math, Chemistry, Biology, Physic) Social Science Education (Economic, Literature, Literature) Language Education (English and other languages) Classroom Practice Sociolinguistic Pragmatics
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 2 Documents
 1 
Search results for , issue "Volume 5 - Issue 2 - 2026" : 2 Documents clear
Short Stories as a Pathway from Reading to Writing: Students’ Perceptions of English Language Improvement Srirevathi , Sevaraj Dhanalakshmi; Aravind, Banumathi Rajamanickam
Acta Pedagogia Asiana Volume 5 - Issue 2 - 2026
Publisher : Tecno Scientifica Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/apga.v5i2.1029

Abstract

Short stories were a successful teaching and learning strategy for second languages. This study aimed to find out how students felt about using short stories and how well they read and wrote English. The study intended to determine the advantages that students experienced from using short stories, as well as the difficulties they faced and how they overcame them. The study population consisted of secondary school students in Grade IX at a government tribal school in Tiruchirappalli District, who received instruction in Tamil (the regional language). A total of 40 students were selected using a sampling method. Constructivist theory provided the theoretical support for this investigation. The study employed a descriptive methodology, utilising focus group interviews and a questionnaire to gather data. While the focus group interviews produced qualitative data, the questionnaire generated quantitative data. The findings showed that the two English language skills, reading and writing, were developed among students through the use of short stories. The results also indicated that students’ vocabulary improved as a result of reading short stories. However, the findings revealed that students lacked confidence in sharing their experiences in front of their peers and struggled to understand messages due to limited resources, restricted vocabulary, spelling issues, and insufficient understanding of English tenses. Nevertheless, by learning new words and supporting one another’s learning, they were able to overcome these challenges. The study concluded that short stories were useful in enhancing language resources and could be proposed as effective materials for facilitating the acquisition of a foreign language.
AI-Augmented Student-Centered Learning: Personalization and Agency Tang, Kuok Ho Daniel
Acta Pedagogia Asiana Volume 5 - Issue 2 - 2026
Publisher : Tecno Scientifica Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/apga.v5i2.1107

Abstract

Artificial intelligence (AI) is increasingly integrated into educational environments and is widely recognized as a transformative technology for advancing Student-Centered Learning (SCL). By enabling adaptive instruction, real-time feedback, and learning analytics, AI systems can personalize learning experiences and address diverse learners’ needs. This review synthesizes current research on how AI contributes to key dimensions of SCL, including adaptive content delivery, data-driven feedback, learner agency, and human–AI collaboration. The literature indicates that AI-powered educational technologies can enhance engagement, facilitate individualized learning pathways, and support self-regulated learning by providing timely insights into performance, progress, and learning strategies. Learning analytics and intelligent tutoring systems further allow instructors to better understand learners’ behavior and tailor instructional support, strengthening alignment between teaching practices and students’ needs. However, integrating AI into SCL environments also presents several challenges. Concerns have emerged regarding cognitive offloading and overreliance on AI systems, which may reduce learners’ active problem-solving and critical thinking if not carefully managed. Issues related to algorithmic transparency, data privacy, and equitable access also remain important considerations as educational institutions increasingly depend on data-driven technologies. Moreover, educators continue to play a critical role in guiding the effective use of AI and ensuring that technology enhances rather than replaces meaningful learning processes. By and large, AI has substantial potential to strengthen SCL when implemented as a transparent, supportive pedagogical tool. Effective integration requires balancing algorithmic guidance with learner autonomy and maintaining strong human oversight. Future research should examine long-term impacts on learner agency and self-regulation and develop pedagogical frameworks that support responsible human–AI collaboration in student-centered education.

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