Teaching Speaking Skills using Sensay Web to Require Personal Response
DOI:
https://doi.org/10.59934/jaiea.v5i3.2460Keywords:
Artificial Intelligence; Digital Learning; English Language Teaching; Personal Response; Speaking SkillsAbstract
Using artificial intelligence in language teaching has opened up new ways to enhance speaking lessons through engaging online tools. This study looks at how Sensay Web is used as a tool with AI to help teach speaking skills by having students respond personally. A descriptive qualitative method was used, which included ten students from the English Education Study Program at Universitas Nias. Data was gathered by observing, writing down notes, looking at the materials created by participants, and using questionnaires to assess their understanding during a training session on how to use Sen say Web for teaching speaking skills. The results show that the participants were able to create speaking activities, handle digital learning resources, and design personal response tasks using Sensay Web. Participants also showed more confidence in using educational technology to help teach speaking skills. Even though there were some technical problems like trouble logging in, issues with microphone permissions, and finding your way around the platform, these problems were fixed with help from guided practice and support from the facilitator. The study finds that Sensay Web offers a good AI-based setting for teaching speaking skills. It helps learners by making them more involved, encouraging them to learn on their own, and allowing them to practice real communication through personal and meaningful responses.
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