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Jurnal Pendidikan Progresif
Published by Universitas Lampung
ISSN : 20879849     EISSN : 25501313     DOI : https://doi.org/10.23960/jpp
Core Subject : Education,
urnal Pendidikan Progresif is an academic journal that published all the studies in the areas of education, learning, teaching, curriculum development, learning environments, teacher education, educational technology, educational developments from various types of research such as surveys, research & development, experimental research, classroom action research, etc. Jurnal Pendidikan Progresif covers all the educational research at the level of primary, secondary, and higher education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on Educational advancements and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of Education. Topics of Interest include, but are not limited to, the following Disaster literacy and Risk Management Education Ethnopedagogy-based STEM Education Integrating technology into the curriculum: Challenges & Strategies Collaborative & Interactive Learning Tools for 21st Century learning Learning Analysis Education Management Systems Education Policy and Leadership Business Education Virtual and remote laboratories Pedagogy Enhancement with E-Learning Course Management Systems Teacher Evaluation Curriculum, Research, and Development Web-based tools for education Games and simulations in Education Learning / Teaching Methodologies and Assessment Counselor Education Student Selection Criteria in Interdisciplinary Studies Global Issues in Education and Research Technology Support for Pervasive Learning Artificial Intelligence, Robotics and Human-computer Interaction in Education Mobile/ubiquitous computing in education Web 2.0, Social Networking, Blogs and Wikis Multimedia in Education Educating the educators Professional Development for teachers in ICT
Articles 1 Documents
Search results for "Bridging the Affective-Linguistic Gap" : 1 Documents clear
Bridging the Affective-Linguistic Gap: A Mixed-Methods Exploration of AI-Assisted Speaking Practice and Willingness to Communicate Yunita, Ratna; Febrilyantri, Candra; Hayasaki, Aya; Ni’am, Muh Imdaadun
Jurnal Pendidikan Progresif Vol 15, No 4 (2025): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v15i4.pp2760-2780

Abstract

Bridging the Affective-Linguistic Gap: A Mixed-Methods Exploration of AI-Assisted Speaking Practice and Willingness to Communicate. Objectives: This study examined the effectiveness of AI-assisted learning in enhancing students’ Willingness to Communicate (WTC) and speaking proficiency in an Indonesian higher education context. It also explored students’ perceptions of AI-based tools' support for communicative confidence and readiness during speaking practice. Methods: A convergent mixed-methods design was employed with 60 undergraduate students enrolled in a Business English course. The experimental group received six AI-assisted speaking sessions (100 minutes each) using the SmallTalk2Me platform, while the control group received conventional instruction. WTC and speaking proficiency were measured using parallel pre- and post-tests, and qualitative data were collected through open-ended reflection surveys. Quantitative data were analyzed using descriptive statistics and two-way mixed ANOVA, and qualitative data were analyzed thematically. Findings: Quantitative results showed a significant main effect of time, indicating that students in both groups improved their speaking proficiency and communicative readiness across the semester. However, neither the group effect nor the interaction effect reached significance, suggesting that AI-assisted practice did not produce statistically greater gains than conventional teaching. Qualitative findings, however, revealed perceived affective benefits among AI users, including reduced speaking anxiety, increased confidence, and appreciation of a low-pressure practice environment with instant feedback and opportunities for repetition. Some students also reported challenges, including occasional misrecognition in AI feedback, dependence on stable internet access, and interactions that felt less natural than human communication. Conclusion: The findings indicate that AI-assisted learning did not yield statistically greater gains in speaking proficiency or WTC than conventional instruction. Although qualitative data suggest that some learners perceived changes in their affective experiences during AI-assisted speaking practice, these perceived advantages did not translate into statistically superior outcomes. Overall, the results indicate that the pedagogical impact of AI-assisted learning remains limited within the scope of the present study. Keywords: AI-assisted learning, higher education, language learning, speaking proficiency, willingness to communicate.

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