University of Twente Student Theses
Teacher Issues and Concerns in Dutch Secondary Education : A Text Mining Approach
Haagen, Mikola (2022) Teacher Issues and Concerns in Dutch Secondary Education : A Text Mining Approach.
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Abstract: | This study explores the potential of two text mining techniques, topic modeling and sentiment analysis, in the educational and psychological domains. It applied an exploratory approach to learn what issues teachers are facing at work and how they feel about these, through analyzing online blogs written by Dutch secondary education teachers on two blogging platforms. Topic modelling and lexicon-based sentiment analysis were combined to explore the topics the teachers discuss in their blogs and the sentiments they hold about these topics. Nine topics were found and interpreted, such as “Workshops”, “Online education (digital tools)” and “Pupil-teacher interactions”. All of which had a positive sentiment score. Generally, the teachers in this study sample used more positive than negative words when writing blogs. The teachers appeared to value topics which involve social interactions the most and they generally had a positive attitude about topics that involve teaching structure. In contrast, the teachers valued topics involving online education the least. Although, due to the lack of negatively valanced topics, this study was not able to provide an overview of issues teachers are facing at work, it nonetheless provides important insights into aspects that may influence teachers’ morale and job satisfaction. Conclusively, the present study suggest that text-mining can be used to offer a holistic overview of what teachers do at work, what seems to be important to them, what they experience and how they feel about it. Additionally, the present study proposes an efficient alternative to traditional (and often time-consuming) qualitative research methods, which can, when cautiously applied, produce a general overview of relevant topics and sentiments from large corpora of pre-existing textual data. |
Item Type: | Essay (Master) |
Faculty: | BMS: Behavioural, Management and Social Sciences |
Subject: | 77 psychology |
Programme: | Psychology MSc (66604) |
Link to this item: | https://purl.utwente.nl/essays/93248 |
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