Validity Assessment of AI-Generated Technical Responses: Cross-Verification Using One Scholarly Reference

This study investigates the reliability and validity of artificial intelligence (AI)-generated technical responses through cross-verification with scholarly literature. Using the article "Choose the School, Choose the Performance: New Evidence on Determinants of Students' Performance in Eight European Countries" by Luca Bonacini, Irene Brunetti, and Giovanni Gallo as a reference point, the research assesses the accuracy, completeness, and depth of AI-generated summaries. The chosen article examines the academic performance of 15-year-old students across eight European countries, utilizing OECD's PISA 2018 dataset to identify the most influential factors in mathematics and reading proficiency. Findings from the article highlight that family educational resources—particularly the number of books at home—and the interaction between school type and location are key predictors of student achievement. Vocational school students tend to underperform compared to those in general education; a gap primarily linked to socioeconomic background. The study further observes that urban-rural divides are minimal, except in Portugal, and that class size may have non-linear effects. The AI-generated content was found to align well with the core arguments of the reference article, with minor omissions of nuance. This validity assessment supports the potential of AI tools in educational analysis, provided they are supplemented with critical human evaluation and scholarly sources.