IoT for smart English education: AI-based personalised learning resource recommendation algorithm
Wang Fang
Abstract
The development of smart English education provides talent support for national economic and social development, solves the difficult problems in current education and enhances national competence. At present, Internet of Things (IoT) is constant maturing of continuous development of information technology, providing a solid technical foundation for the development of smart English education. IoT mainly senses and collects data through multi-sensors, uses a variety of communication technologies to establish a network to realise the connection between things and things. Data collection through IoT is an important source of big data in English education. IoT is the basis for smart English education, learning, management and effective collection of educational data. Artificial intelligence analyses the learning resources collected by multi-sensors to make recommendation decisions. In this study, an attention-based deep collaborative learning resource recommendation model is proposed by integrating the attention mechanism into the learning resource recommendation algorithm.