Opinion mining of professors' sentiments towards the adoption of technology, the latest teaching trends, and their effectiveness

Abstract

Opinion mining is a widely used application in education to assess the effectiveness of teaching and learning practices in an organization. Although much research has already been done to analyze students' opinions, the literature on professors' opinion mining is relatively scarce. This article investigates if the professors' opinions on the adoption and effectiveness of the latest teaching trends in the post-pandemic era reflect a generation gap. Combining descriptive statistics and opinion mining, a mixed-method approach is used to analyze comprehensive data from 151 professors' perspectives. The Faculty Development and Educational Innovation Center (CEDDIE) at Tecnologico de Monterrey developed and circulated the quantitative questionnaire online using convenient sampling. The results reveal that 84.1% of professors are positive about embracing technological changes in teaching-learning. Furthermore, the positive alignment of the subjectivity score based on opinion mining suggested that professors recorded their findings and experiences rather than simply stating facts in the survey. The chi-square test demonstrates a significant relationship between the generation of professors and their opinions. Regardless of their teaching generation, most professors' express openness to integrating new trends and tools into their pedagogical practices. The qualitative data further elucidates the challenges influencing professors' attitudes.