DATA-DRIVEN INSIGHTS INTO MEDIA INTEGRATION IN EDUCATION: A DECISION TREE REGRESSION STUDY

Raluca SASSU, Daniel MARA, Elena Lucia MARA

Abstract


As digital media becomes increasingly embedded in education, it is reshaping teaching practices and influencing both instructional methods and student engagement. This study examines teachers' perceptions of the benefits of media in education using a decision tree regression approach, exploring how factors such as media usage, personal agency, and digital literacy shape their views. Based on data from 194 teachers, the analysis identifies the perceived importance of digital media, actual media usage in teaching, and media consumption at work as the strongest predictors of educators' attitudes toward media integration. The findings highlight the need for targeted professional development programs to strengthen teachers’ digital competencies and promote more effective media use in the classroom. This study offers insights for policymakers and education leaders, emphasizing the importance of digital literacy, pedagogical support, and contextual factors in maximizing the benefits of media-based instruction.


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References


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