AI Dialogue Scaffolding, Self-Efficacy, and Saudi Learners' Speaking Confidence and Anxiety
This study explores the role of self-efficacy in mediating the relationship between artificial intelligence (AI)-based dialogic scaffolding and the speaking anxiety and confidence levels of Saudi learners. The research aims to understand how AI tools that facilitate dialogue can influence learners' beliefs in their own abilities, and subsequently impact their feelings of anxiety or confidence when speaking. The findings could offer insights into effective pedagogical strategies for language learning, particularly in contexts where learners may experience significant speaking anxiety. By examining this mediating mechanism, the study seeks to provide a clearer picture of how technology can be leveraged to enhance language acquisition and boost learner confidence. The research focuses specifically on Saudi learners, potentially highlighting cultural or contextual factors that might influence the effectiveness of AI-driven language support. Understanding this dynamic is crucial for developing targeted interventions and AI applications that cater to the specific needs of this learner population. Ultimately, the goal is to identify pathways through which AI can foster greater speaking confidence and reduce anxiety among language learners.
AI-driven dialogic scaffolding presents a novel approach to language education, potentially democratizing access to personalized learning experiences. This research investigates a critical mediating factor: self-efficacy. Understanding how AI interactions shape learners' confidence in their speaking abilities is key to unlocking technology's full potential in education. The study's focus on Saudi learners highlights the importance of culturally sensitive AI design and deployment. As AI becomes more integrated into educational systems globally, it is essential to analyze its impact not just on skill acquisition but also on learner psychology and confidence. This research contributes to a broader understanding of how future AI systems can be optimized to foster genuine learner empowerment and reduce the psychological barriers often associated with language learning, thereby promoting more equitable educational outcomes in the long term.
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