Mobile Learning System Combined with Adaptive Recommendation Mechanism--Taking Outdoor Learning Activities of Literature and History as An Example

Abstract

In the courses related to literature and history, outdoor activities such as field visits are often matched to deepen students' impression on historical events and cultivate t heir historical thinking ability through practical exploration and interaction. However, in the process of outdoor learning, students' innate intelligence, interests and acquired learning environment often have an influence on their learning ability or und erstanding degree, which leads to the gap in learning. Therefore, if we can guide the adaptive learning mechanism in time and adjust the suitable learning content according to the students' individual learning situation in the outdoor learning process, it can not only stimulate the potential of each student, but also produce better learning results. In this regard, this study built a set of action -based learning systems combined with an adaptive recommendation mechanism, applied it in the study of outdoor l earning activities related to literature and history, adopted mobile devices to provide students with the way of autonomous learning, and at the same time built a set of historical ability as the standard of the adaptive grading system. Through observation and analysis of students' learning situations, it adjusted the contents of learning materials and planned suitable learning strategies to cultivate students' historical thinking ability. It was hoped that when students carry out learning activities relate d to literature and history, they can learn more easily by step- by-step and personalized learning methods, and record their learning situation, so that they can master their own learning ability and situation, produce better learning performance, and reduc e the uneven phenomenon in learning.