Enhancing Diversity in Inclusive Learning Classroom Using OpenAI Whisper Model

An inclusive classroom is an educational environment that accommodates and supports the diverse needs of all students regardless of their diversity. It recognizes and values diversity among students, including differences in ability, ethnicity, socioeconomic status and learning styles. The barriers may include speech, writing, hearing, listening, and understanding the content. Inclusive classrooms, whether physical or virtual environments, are designed to be accessible to all students, including those with disabilities. Accessing the environment may involve using assistive technologies, accessible materials, and adaptable classroom layouts. Despite technological advancements, individuals continue to face significant barriers in collaborative environments. Therefore, this study explores the impact of the OpenAI Whisper model in promoting diversity and inclusivity in education through real-time transcription and translation for students with diverse linguistic, cultural, and ability backgrounds. This study utilised natural processing language methodology to enhance inclusive learning, which leverages an artificial intelligence Whisper OpenAI voice recognition model. The Whisper OpenAI model implemented a browser-based real-time translation infrastructure leveraging Hugging Face's Whisper base model through ONNX runtime web. Whisper OpenAI was evaluated using accuracy and frequency, and the results obtained were 94 % at 400 GHz. This study enhanced the inclusive learning environment by providing a flexible multi-lingual virtual platform for inclusive learning.