Abstract Book of the 9th International Conference on Teaching, Learning and Education
Year: 2025
[PDF]
Studying the Use of Learning Accelerator Speaker Progress on Microsoft Teams to Improve ESL Students’ Speaking Skills
Khalsa Al Aamri
ABSTRACT:
In alignment with Oman’s national vision to enhance educational outcomes and global competitiveness, English language proficiency, particularly speaking skills, has become a critical focus for ESL (English as a Second Language) learners. However, Omani students often face challenges in achieving oral fluency due to limited immersive practice opportunities and culturally influenced classroom dynamics. This study investigates the efficacy of Microsoft Learning Accelerator (MLA), a technology-driven platform leveraging AI-powered speech recognition and interactive feedback, in improving speaking proficiency among intermediate-level ESL students in Oman. Utilizing a mixed-methods approach, the research employed pre- and post-assessment tests to evaluate quantitative progress in pronunciation, fluency, and coherence, alongside surveys and semi-structured interviews to capture student and instructor perceptions. Results from a six-week intervention with 45 participants revealed statistically significant improvements in speaking scores, with marked advancements in confidence and spontaneous communication. Qualitative data underscored MLA’s role in fostering engagement through personalized, low-pressure practice, though challenges such as uneven technology access and the need for educator training emerged as implementation barriers. The study concludes that MLA holds substantial potential to address Oman’s ESL speaking skill gaps, particularly when complemented by institutional investments in digital infrastructure and teacher capacity-building programs. These findings contribute to broader discussions on integrating AI-driven tools in linguistically diverse educational contexts, offering pragmatic insights for policymakers and educators aiming to harmonize technological innovation with pedagogical goals.
Keywords: Microsoft Learning Accelerator, ESL (English as a Second Language), Speaking Proficiency, AI-powered Speech Recognition, Interactive Feedback, Language Learning Technology, Pronunciation and Fluency, Educational Technology Integration, AI-driven Tools