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Use of SHAP values for identifying differences in behaviors for subpopulations under intervention

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Abstract

The advent of Artificial Intelligence (AI) is currently leading a new industrial revolution on almost all aspects of human life. Adoption of AI in traditional education has been lower than expected due to several reasons, including a lack of understanding of the processes behind it, which is fatal for situations like student dropout. An ideal AI tool for this problem would provide individually tailored interventions towards student retention, but that would require a much deeper understanding of what entails a successful intervention. Using a novel methodology for feature comparison between subpopulations, we found that the features obtained through our machine learning models coincide with both the opinion of interviewed mentors/tutors and with independently performed research with the same dataset origin, that the explanations obtained regarding student dropout match the real-world experiences of mentors and tutors, especially when dealing with highly explanatory features like previous average grades and interventions, and that additional beneficial features would be psychological and emotional well-being information. The results from our proposed methodology were validated directly by practicing mentors and tutors that deal with student dropout on a regular basis.

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El usuario tiene la obligación de utilizar los servicios y contenidos proporcionados por la Universidad, en particular, los impresos y recursos electrónicos, de conformidad con la legislación vigente y los principios de buena fe y en general usos aceptados, sin contravenir con su realización el orden público, especialmente, en el caso en que, para el adecuado desempeño de su actividad, necesita reproducir, distribuir, comunicar y/o poner a disposición, fragmentos de obras impresas o susceptibles de estar en formato analógico o digital, ya sea en soporte papel o electrónico. Ley 23/2006, de 7 de julio, por la que se modifica el texto revisado de la Ley de Propiedad Intelectual, aprobado

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