Configuration Analysis of Impact Factors of University Students'Digital Deep Reading Based on fsQCA
In the era of digital intelligence,university students are increasingly inclined towards digital reading,and the depth of digital reading deserves attention.In order to explore the development of university students'digital deep reading,the paper constructs a digital deep reading impact factor model based on existing research literature.The fsQCA method is used to explore its impact factors.The necessity analysis shows that perceived usefulness and perceived ease of reading object are the necessary conditions.The adequacy analysis of the configuration conditions obtains seven realization paths for digital deep reading,which can be summarized into three types:technology-driven,heat-facilitated,and subject-oriented.The results show that university students'digital deep reading embodies the characteristic of"content dominates,connection wins".The paper puts forward four suggestions to improve digital deep reading among university students,including the ubiquity of literature resources construction,the intelligent transformation of driving technology,the focus of reading hotspot construction,and the universalization of digital literacy education.
Deep ReadingDigital ReadingReading PromotionQualitative Comparative AnalysisUniversity Student