Based on cloud computing and statistics theory, this paper proposes a reasonable analysis method for big data of film and television. The method selects Hadoop open source cloud platform as the basis, combines the MapReduce distributed programming model and HDFS distributed file storage system and other key cloud computing technologies. In order to cope with different data processing needs of film and television industry, association analysis, cluster analysis, factor analysis, and K-mean + association analysis algorithm training model were applied to (...) model, process, and analyze the full data of film and TV series. According to the film type, producer, production region, investment, box office, audience rating, network score, audience group, and other factors, the film and television data in recent years are analyzed and studied. Based on the study of the impact of each attribute of film and television drama on film box office and TV audience rating, it is committed to the prediction of film and television industry and constantly verifies and improves the algorithm model. (shrink)

Given the centrality of learners’ individual differences in their academic achievement, a plethora of research has been done on various individual difference variables and their associations with learners’ increased achievement. Yet, the role of creativity and self-efficacy in EFL learners’ academic achievement has not been extensively studied. Further, no review inquiry has simultaneously probed into the consequences of these two individual difference variables for learners’ academic achievement. This study strives to fill this underappreciated gap by addressing the positive consequences of (...) creativity and self-efficacy for EFL learners’ academic achievement. The desirable consequences of creativity and self-efficacy beliefs were clarified using the available evidence. Finally, the conclusions and consequences of the findings are discussed. (shrink)