Tutoria Doctorat en Salut i Psicologia

Pública

I participated online in the seminar «Data Analysis Applying AI Algorithms in Psychology and Education» on April 3rd.

This seminar gave me the opportunity to learn about another AI tool, WEKA, which is used for data mining and machine learning, combining accessibility and robustness in data analysis.

WEKA has been used in market research to segment customers and predict consumer trends (Ramos, 2025). It’s a free tool, accessible to all experience levels, and can upload data in CSV format, which is then converted to ARFF format for use in the tool.

This is crucial in my thesis program, as I handle data in that format. Furthermore, WEKA allows data and variables to be associated using the APRIORI rule, which only works with categorical variables, which predominate in my research. It also facilitates the generation of charts, histograms, and the exploration of patterns, such as correlations and trends in the data.

Although the seminar was very interesting, I was not able to practice much with the tool. To be able to take it into account for the development of my thesis I believe that I should take a specialized course on its operation and be able to use all the elements it must give it the maximum benefit. However, it is one more tool that I have at my disposal to be able to develop my project.