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All Journal LLT Journal: A Journal on Language and Language Teaching TLEMC (Teaching and Learning English in Multicultural Contexts) Journal of Education, Language Innovation, and Applied Linguistics
Principe, Regine Aguilar
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INVESTIGATING THE IMPLEMENTATION OF COLLABORATIVE STRATEGIC READING (CSR) IN EFL CONTEXT: PROFICIENCY AND PERSPECTIVES Herda, Rozanah Katrina; Setiawan, Teguh; Principe, Regine Aguilar
LLT Journal: A Journal on Language and Language Teaching Vol 26, No 2 (2023): October 2023
Publisher : English Education Study Programme of Sanata Dharma University, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/llt.v26i2.6408

Abstract

The students are mostly unmotivated in the EFL reading classrooms since they have problems reading English texts. They feel stressed as they consider themselves alone, readers who cannot understand the text content well. This mixed-method study aimed to (1) investigate the significant difference between the mean scores of the pretest and the post-test in reading using Collaborative Strategic Reading (CSR) and (2) describe the students' reflections using CSR in the reading classroom. The data were collected by using a pretest-posttest and students' reflection sheets. The participants were 32 students from a private university in Indonesia. The pretest and post-test results indicated that CSR significantly improved students' reading skills in collaborative classrooms. The written reflections showed students were highly motivated to join collaborative reading, as the strategies were beneficial for improving their vocabulary, reading understanding, and critical thinking. This study greatly influences improving students' reading proficiency and social skills.
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
Voicing Philippines and Indonesian Students' Needs of Automated Written Corrective Feedback in EFL Writing Classrooms Herda, Rozanah Katrina; Principe, Regine Aguilar; Travero, Arnel S.; Pratama Harahap, Muhammad Fadhly; Viantika, Salma; Hamidi, Mohammad Arif
Journal of Education, Language Innovation, and Applied Linguistics Vol 3, No 1 (2024): JELITA: Journal of Education, Language Innovation, and Applied Linguistics
Publisher : Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jelita.v3i1.8920

Abstract

In EFL writing classrooms, students learning L2 need correction or feedback for their writing. However, the teachers' limitation in time management becomes one of the reasons students can not gain detailed feedback. In line with that, the growth of the digital platform in the 21st-century learning era brings a thought that corrective feedback for L2 writing can be accessed and gained through automated written corrective feedback (AWCF) to ease students' learning and improve their writing ability. This quantitative study aimed at revealing students' need for automated written corrective feedback. The participants of this study were 532 students from the Philippines and Indonesia. The questionnaire was used to collect data and analyzed using the SPSS version 25 to know the percentage and descriptive statistics. The study's findings revealed that students from two states need technology tools to provide written corrective feedback to improve their writing proficiency in the L2 context while solving their problems of vocabulary and grammar limitations. Furthermore, the feedback can grow their confidence to provide L2 writing. The findings of the student's needs can be used as the basis for creating ideal writing scenarios.
Co-Authors Hamidi, Mohammad Arif Margana Margana Pratama Harahap, Muhammad Fadhly Rozanah Katrina Herda, Rozanah Katrina Sain, Zohaib Hassan Santiana Santiana Savitskaya, Elina S. Teguh Setiawan Travero, Arnel S. Viantika, Salma