Audience rating competition in the domestic drama market has increased recently due to the introduction of commercial broadcasting and diversification of channels. There is now a need for thorough studies and analysis on audience rating. Especially, a drama rating is an important measure to estimate advertisement costs for producers and advertisers. In this paper, we study the drama rating prediction models using various data mining techniques such as linear regression, LASSO regression, random forest, and gradient boosting. The analysis results show that initial drama ratings are affected by structural elements such as broadcasting station and broadcasting time. Average drama ratings are also influenced by earlier public opinion such as the number of internet searches about the drama.

The purpose of this study was to examine the distribution and pattern of learning style preferences of college students and to investigate the effect of major learning styles on their learning motivation and learning attitude. To achieve the purpose, the Perceptual Learning Style Preference Questionnaire was conducted for college students. Learning styles were divided into perceptual learning types (visual, auditory, tactile, and kinetic style) and social learning types (group and individual style). The responses of 514 were used, and using SPSS 27.0 program, cross tabulation analysis and multivariate analysis were conducted. The results of the study are as follows: college students generally preferred visual and group types. Male students preferred group styles, and female students preferred individual styles. The most variable period for learning style of college students was assumed the third school year. More than half the students showed over two major learning styles. Finally, the higher the number of major learning styles, the higher learning motivation and learning attitude.

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