<p>In traditional oral English teaching, teachers usually grade students' oral expression according to their subjective judgment. Therefore, it is of great significance to design an automatic scoring mode of oral English teaching system based on mobile cloud and voice sensor. The aim of this study is to develop an automatic scoring model that can accurately evaluate students' oral expression ability in real time by using mobile cloud and speech sensor technology. Using a mobile cloud platform and voice sensor devices, students' speaking data is collected in a teaching environment. The voice sensor can capture the audio signal of the student's pronunciation and transmit it to the cloud platform through the wireless network for subsequent processing. By capturing students' speech data and using algorithms such as machine learning and speech recognition on a mobile cloud platform, students' spoken expressions are automatically scored and assessment reports are generated. After experiment and evaluation, the automatic scoring mode of oral English teaching system based on mobile cloud and speech sensor designed by this research institute has high accuracy and real-time. Through this system, teachers can quickly and accurately evaluate students’ oral expression ability, provide accurate feedback and guidance, and improve the oral English teaching effect.</p>