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TLEMC (Teaching and Learning English in Multicultural Contexts)
Published by Universitas Siliwangi
ISSN : -     EISSN : 25416383     DOI : -
Core Subject : Education,
Education Languange, Linguistic, Communication & Media
This is The International Journal publishing in June and December every year. The journal of Teaching & Learning English in Multicultural Contexts (TLEMC) is a freely accessible, full text, peer-reviewed journal allowing for the dissemination of ELT in varying contexts (such as families, classrooms, schools, colleges, universities, communities, countries etc).
Arjuna Subject : -
Articles 112 Documents
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Integrating AI-based paraphrasing into academic writing pedagogy: A reflective study on Quillbot in practice Herda, Rozanah Katrina; Margana, Margana; Sain, Zohaib Hassan; Savitskaya, Elina S.; Santiana, Santiana; Principe, Regine Aguilar
TLEMC (Teaching and Learning English in Multicultural Contexts) Vol 9, No 1 (2025): TLEMC (Teaching and Learning English in Multicultural Contexts)
Publisher : Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/tlemc.v9i1.15127

Abstract

Integrating artificial intelligence (AI) into education has transformed traditional approaches to teaching and learning, particularly in academic writing instruction. This study investigates the pedagogical impact of using QuillBot, an AI-based paraphrasing tool, on students' academic writing performance and their perceptions of its use. Motivated by the increasing complexity of academic writing and the need for instructional innovation, this mixed-methods research examines learning outcomes and student experiences. Forty-fourth-semester students, consisting of 13 male and 27 female students, enrolled in an Academic Writing course, participated in the study. An explanatory sequential design was employed, starting with pre- and post-tests measuring writing performance, followed by semi-structured interviews to explore students' reflections. The results revealed a significant improvement in students' writing scores, with the mean increasing from 49.25 (pre-test) to 74.00 (post-test), indicating enhanced ability in paraphrasing and producing coherent academic texts. Students also reported that QuillBot helped them internalize academic language structures, improved their awareness of sentence patterns, and supported autonomous learning by providing immediate, accessible feedback. Moreover, they acknowledged the importance of ethical usage and viewed the tool as a guide rather than a shortcut. These insights highlight the dual role of AI tools as both linguistic support systems and pedagogical aids when thoughtfully integrated into instruction. Future research should consider broader and more diverse populations to deepen understanding of how AI-assisted writing tools shape student learning across different educational contexts.Keywords: Academic writing, Paraphrasing, Artificial intelligence, Quillbot
Blended Problem Based-Learning: Enhancing speaking performance across self-efficacy levels Lestari, Yunda; Hartono, Rudi; Yuliasri, Issy; Pratama, Hendi
TLEMC (Teaching and Learning English in Multicultural Contexts) Vol 9, No 1 (2025): TLEMC (Teaching and Learning English in Multicultural Contexts)
Publisher : Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/tlemc.v9i1.16714

Abstract

This study examines the effectiveness of the Blended Problem-Based Learning (Blended-PBL) approach in enhancing speaking performance among EFL students with different self-efficacy levels and explores students’ perceptions of its application in speaking instruction. Employing a quasi-experimental design, the research involved 32 undergraduate students of an English Education Study Program, consisting of 16 students with high self-efficacy and 16 with low self-efficacy, who participated in a speaking course during the 2023/2024 academic year. Data were collected through pre- and post-test speaking performance assessments evaluated with an analytic rubric, a self-efficacy questionnaire, and a perception survey, and analyzed using paired sample t-tests and descriptive statistics. The results indicated a significant improvement in students’ speaking performance after the Blended-PBL intervention, with a paired sample t-test yielding a value of t = -12.162 (p 0.05), confirming that the gains were statistically significant. Interestingly, although students with high self-efficacy performed slightly better than their peers with lower self-efficacy, the difference between the two groups was not statistically significant, suggesting that Blended-PBL is equally beneficial across varying levels of self-efficacy. Furthermore, perception data demonstrated that students held favorable views toward Blended-PBL, particularly in terms of motivation, collaboration, confidence building, and problem-solving skills. These findings highlight Blended-PBL as an effective and inclusive pedagogical model for EFL speaking instruction, with potential to foster learners engagement, reduce performance gaps, and promote a more supportive and equitable language learning environment.Keywords: Blended problem-based learning, self-efficacy levels, speaking performance

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