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Emotional AI in EFL Classrooms: Redefining Human–Machine Affect in ELT Research at Islamic University Rachmawati, Dwita Laksmita; Maruf, Nirwanto; Fadhilawati, Dian
Register Journal Vol. 18 No. 2 (2025): REGISTER JOURNAL
Publisher : UIN Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/register.v18i2.341-368

Abstract

Emotional Artificial Intelligence (Emotional AI) is reshaping the landscape of language education by offering learners not only cognitive assistance but also emotional support. In Islamic university contexts, where politeness, respect, and affective sensitivity play essential roles in the learning process, the emotional qualities embedded in tools such as ChatGPT present new pedagogical possibilities. This qualitative study investigates the emotional support provided by ChatGPT during English as a Foreign Language (EFL) learning among Islamic university students and examines their perceptions of ChatGPT as an Emotional AI tool in relation to learning enjoyment, self-efficacy, and resilience. The data were collected from 12 EFL students and three lecturers through semi-structured interviews, focus group discussions, and classroom observations. Thematic analysis was employed to identify recurring patterns related to students’ affective experiences and interpretations of ChatGPT’s emotional responses. The findings revealed that students perceived ChatGPT as a reassuring, patient, and non-judgmental companion that reduces anxiety, encourages risk-taking, and supports emotional stability during challenging learning tasks. Students also perceived ChatGPT as enhancing their learning enjoyment, improving their self-efficacy through personalized scaffolding, and strengthening their resilience by promoting a sense of safe failure and continued effort. Despite these benefits, some expressed ambivalence regarding the authenticity of AI-generated empathy and concerns about over-reliance on emotional AI. Overall, the study highlights the dual cognitive–emotional role of ChatGPT in EFL learning and underscores the importance of integrating Emotional AI thoughtfully in Islamic university settings to maximize affective and academic benefits.
The CORRELATION BETWEEN STUDENTS’ LEARNING STYLES AND STUDENTS’ SPEAKING ACHIEVEMENT Firdathun Jannah; Slamet Asari; Nirwanto Maruf
Journal Educatione Vol. 1 No. 2 (2024): Journal Educatione
Publisher : Pascasarjana Manajemen Pendidikan Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Language learning is a multifaceted process influenced by various individual factors, including learning styles. Understanding the potential correlation between students' learning styles and their language proficiency is crucial for developing effective language teaching strategies. The primary objective of this research is to investigate whether there is a significant correlation between students' learning styles and their speaking achievement. To examine the correlation between learning styles and speaking achievement, a comprehensive speaking proficiency test was administered to 43 students. The VARK questionnaire was used to identify the prevalent learning style preferences among the participants, including Kinesthetic, Auditory, and Visual learning styles. Pearson's correlation coefficient was employed to analyze the relationship between learning styles and speaking achievement. Surprisingly, the analysis revealed no significant correlation between learning styles and speaking achievement (r = -0.12, p > 0.05). Further examination of specific learning style categories indicated that there was no significant correlation between speaking achievement and the Kinesthetic, Auditory, or Visual Learning Style preferences. These findings highlight the importance of considering multiple factors, beyond learning styles, that influence language proficiency. Language educators should adopt a comprehensive approach, incorporating diverse instructional strategies to cater to the unique needs of each student. Future research should explore the relationship between learning styles and other language skills and delve deeper into individual differences in language learning