LEARNING STRATEGIES AND THEIR RELATIONSHIP TO LEARNING ACHIEVEMENT IN READING COMPREHENSION——A REPORT ON NON-ENGLISH MAJORS IN CHINA

This paper reports on a study of the relationship between learning strategies and reading comprehension. To establish the variables, a learning strategies’ questionnaire was administered to about 200 students in the second-year of a non-English majors degree course in a university in Changchun. Their learning achievement was established by their scores on a reading comprehension test. The relationship between learning strategies and achievement was then examined through the SPSS 8.0 statistical analysis system. It was found that cognitive strategies were the strongest predictor to reading achievement and four other variables (metacognitive strategies, social-affective strategies, reading habits and examination strategies) also demonstrated a significant relationship with reading achievement to differing degrees. Among these variables, social-affective strategies were the only negative predictor. In addition, a significant difference existed between the high-score group and the low-score group in the use of cognitive strategies, metacognitive strategies and examination strategies.

The impact of new relationship learning on artificial intelligence technology innovation

Economic globalization makes the competition among organizations increasingly fierce,and the"dependence relationship"among organizations is of particular importance.It is found that the influence of relationship learning(based on organizational relationships)on the technological innovation of organizations has become increasingly prominent.Artifi-cial intelligence(AI)technology,as a subversive emerging technology which is rapidly globalizing,is currently in a high-speed development stage.China's AI technology is showing a trend of rapid development in the civilian market,and its application in the military field has also risen as the country's top-level strategic goal.At present,the research and development(R&D)system in the military and civilian markets is relatively independent,and the development of AI technology in civil and military applications is not balanced.This will hinder the AI technology innovation in the future.To promote the balanced development of AI technology in both military and civilian applications,it is necessary to establish a new organizational relationship of"integrated development"among military and civilian R&D organizations.The relationship learning based on"in-tegrated development"will help organizations quickly open up the information sharing channels,rapidly improve the ability of common understanding,promote the continuous improvement of relationship memory,and provide favorable support for promoting the innovation and development of AI technology in China.