Gu, Bingxin
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Speaking Skills Problems Encountered By Non-Native Arabic Learners At Universities In Northeast China Gu, Bingxin; Muin Ismail, Wail
Ijaz Arabi Journal of Arabic Learning Vol 7, No 3 (2024): Ijaz Arabi: Journal Of Arabic Learning
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijazarabi.v7i3.27308

Abstract

Speaking skills are critical in second language acquisition. This study investigates the most common speaking skills problems among non-native Arabic learners in universities in Northeast China and the differences between speaking skills problems based on gender and academic level. A quantitative research design was adopted. It used the questionnaire to collect data. The sample of this study included 104 Chinese students who learn Arabic from two universities in Northeast China. The results indicate that the most common problems with Arabic speaking skills are a lack of vocabulary, opportunities to meet native Arabic speakers, fear of mistakes, teacher-centered classes, and the teacher using too many students’ native languages in the classroom. Besides that, the results show no statistically significant difference in Arabic speaking skills problems based on gender. However, the findings show statistically significant differences in Arabic speaking skills problems based on the academic level. The learners of the second year have more Arabic speaking skills problems than the learners of the first year, and the learners of the third year also have more Arabic speaking skills problems than the learners of the first year. According to the findings, the study suggests recommendations for Arabic learners, instructors, and policymakers in universities in non-Muslim gathering areas in Northeast China.
The Role Of Talkpal AI-Based Practice Tutors In Reducing Arabic-Speaking Anxiety Among Chinese Undergraduates Gu, Bingxin; Gui, Mingxian; Ismail, Zawawi; Siraj, Saedah
Ijaz Arabi Journal of Arabic Learning Vol 9, No 1 (2026): Ijaz Arabi: Journal Of Arabic Learning
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijazarabi.v8i3.34270

Abstract

Artificial intelligence in foreign language education is gaining attention, but empirical research on its effectiveness in reducing speaking anxiety remains limited. This mixed-methods study investigates the role of Talkpal AI, an AI-based speaking tutor, in reducing Arabic-speaking anxiety among Chinese undergraduate students. A total of 32 students participated in a three-week online intervention. Quantitative data collected through pre- and post-intervention questionnaires revealed significant reductions in test anxiety and fear of negative evaluation. In contrast, no significant changes were found in communication apprehension and classroom-related anxiety. Qualitative interviews further explained undergraduates’ experiences with Talkpal AI tutor, highlighting high perceived usefulness, ease of use, and motivation due to real-time feedback and a judgment-free learning environment.  The findings suggest that while Talkpal AI cannot fully replace human interaction or address all anxiety dimensions, it can serve as an effective supplementary tool to support Arabic-speaking confidence, especially in exam preparation.