An Online Teaching of Ideological and Political Education using Contrastive Learning with Bidirectional Long Short-Term Memory

In this era, the integration of ideological and political education into college English courses is essential for evolving the social responsibilities and characteristic behaviors of students. Previous researchers have developed several systems using traditional methods but still there are challenges in engaging learners, particularly in online settings. Also, with the COVID-19 pandemic effect the impact of e-learning among different sectors of people has played a crucial and has provided assistance in maintaining interaction, engagement, and personalized support. To overcome such scenarios and challenges, this paper suggests an interactive online teaching system designed to enhance involvement and comprehension of ideological and political concepts within English education. The motive of this approach is to robust, engaging environment that fosters deeper student connection with course content and promotes critical thinking skills essential for ideological and political discourse. Hence, advanced deep learning (DL) techniques are utilized such as Contrastive learning (CL) at the preprocessing stage and Bidirectional Long Short-Term Memory (Bi-LSTM) for real-time speech recognition and interactive system development. The developed system has resulted with spectacular output of 96.89% with real-time insights and responsive feedback.