AI-CiciBot as Conversational Partners in EFL Education, focusing on Intelligent Technology Adoption (ITA) to Mollify Speaking Anxiety

This study examines the role of AI-CiciBot as a conversational partner in mitigating speaking anxiety among Indonesian EFL (English as a Foreign Language) students. The aim is to explore the integration of intelligent technology adoption (ITA) into classrooms to enhance language learning and reduce anxiety during speaking activities. The primary gap addressed in this research is the lack of technology-based solutions for oral language practice in Indonesia, where traditional curricula emphasize reading and writing over speaking. This study aims to fill the gap by introducing AI-CiciBot, a novel AI-powered conversational tool that provides a supportive, low-pressure environment for students to practice speaking English. The study uses a mixed-methods approach, combining quantitative data from pre-test and post-test scores and qualitative insights from student interviews. The research tools include a questionnaire and an AI-CiciBot platform for speaking practice. IBM SPSS Statistics analyzed the data, focusing on students' speaking performance and anxiety levels before and after using AI-CiciBot. Findings in this study show a significant improvement in students' speaking skills and a reduction in anxiety. The mean score for pre-tests was 49.17, which increased to 90.47 in post-tests, indicating AI-CiciBot's effectiveness. Interviews revealed that students initially hesitant to engage in speaking activities due to fear of judgment became more confident and willing to participate after practicing with the AI bot. This study contributes to the field of EFL education by demonstrating the potential of AI-driven tools like AI-CiciBot to address speaking anxiety and improve oral proficiency. It also highlights the importance of ITA in encouraging students to embrace AI-based learning solutions. To maximize learning outcomes, future research should investigate the long-term impact of AI-CiciBot on students' speaking proficiency and its integration with human instructors.