5 papers
Natural Language Processing Psychometrics
Edoardo Sebastiano De Duro, Emma Franchino, Massimo Stella
Natural Language Processing (NLP) models predicting mental health outcomes rarely specify what they measure: contextual knowledge, emotional content, or syntactic structure. NLP Ps…
Cognitive networks reconstruct mindsets about STEM subjects and educational contexts in almost 1000 high-schoolers, University students and LLM-based digital twins
Francesco Gariboldi, Emma Franchino, Edith Haim +3
Attitudes toward STEM develop from the interaction of conceptual knowledge, educational experiences, and affect. Here we use cognitive network science to reconstruct group mindsets…
Complex networks map test anxiety and wellbeing levels in students and ChatGPT
Emma Franchino, Francesco Gariboldi, Alessandro Grecucci +2
Academic STEM evaluation can elicit anxiety, yet routine grading rarely captures how students semantically frame exams and wellbeing. We reconstruct these framings using behavioura…
Math anxiety and associative knowledge structure are entwined in psychology students but not in Large Language Models like GPT-3.5 and GPT-4o
Luciana Ciringione, Emma Franchino, Simone Reigl +5
Math anxiety poses significant challenges for university psychology students, affecting their career choices and overall well-being. This study employs a framework based on behavio…
A network psychometric analysis of maths anxiety factors in Italian psychology students
Emma Franchino, Luciana Ciringione, Luisa Canal +4
Dealing with mathematics can induce significant anxiety, strongly affecting psychology students' academic performance and career prospects. This phenomenon is known as maths anxiet…