Text analysis to identify modifications of university professors in teaching statistics due to COVID-19

Ana Luisa Gómez and José G. Rivera
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Ana Luisa Gómez: Insituto Politécnico Nacional y CICATA - Legaria
José G. Rivera: Insituto Politécnico Nacional y CICATA - Legaria

Mexican Stata Conference 2023 from Stata Users Group

Abstract: In the context of research in mathematics education, a national study was carried out to identify characteristics of the teaching and evaluation of statistics by professors who teach statistics in university courses. For this purpose, a survey was designed with 76 questions, including the open-ended question: As a result of the COVID-19 health contingency, how has your teaching changed? The survey was answered by 750 professors, of whom 627 responded to the question. We present the analysis method applied with Stata 17 to analyze the 627 responses. Coincidence analysis was performed, a research technique that analyzes texts, documents, or responses by extracting keywords to obtain structured information and identify possible response patterns. Text analysis tools (txttool, precoin, and coin) were used to identify the most frequent words and possible relationships between them. Implementing these tools made it possible to obtain information on the modifications made by the statistics professor in his teaching due to the COVID-19 health contingency.

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