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

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.

Authors

Institutions

Publication Details

Journal
Social Sciences & Humanities Open
Published
2024-12-24
DOI
https://doi.org/10.1016/j.ssaho.2024.101249
Citations
3
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
2.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Asad Abbas, Marcus Vinícius Henriques Brito, Mehul Mahrishi, Martha Lorena Hernández Flores et al.
3 citations
Social Sciences & Humanities Open
Education and Learning Interventions
2.34
article

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

Asad Abbas, Marcus Vinícius Henriques Brito, Mehul Mahrishi, Martha Lorena Hernández Flores, Claudia Elsa Rodríguez Medellín
article en
3 citations

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.

Social Sciences & Humanities OpenVol. 11
University of Miami (US), Institute for the Future (US), Institute of Technology Management (IN), Tecnológico de Monterrey (MX)
Quality Education
Openalex Percentile: Top 8%
Education and Learning Interventions
2.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.