IMPROVING STATISTICAL LITERACY AND THE USE OF ARTIFICIAL INTELLIGENCE IN RESEARCH AMONG NUTRITION STUDENTS THROUGH EDUCATIONAL ACTIVITIES
DOI:
https://doi.org/10.37478/mahajana.v7i3.8762Abstract
The increasing use of artificial intelligence (AI) in health education and research provides opportunities to support learning and statistical understanding, but also raises concerns regarding information accuracy, data privacy, and academic integrity. This community service program aimed to strengthen statistical literacy and responsible AI use in health research among nutrition students through interactive education. The participants were eight undergraduate students with a nutrition specialization from a health education institution in Jakarta. The activity was conducted online on September 19, 2026, through interactive presentations, practical demonstrations, discussions, and question-and-answer sessions covering statistical literacy, AI-assisted research, prompt formulation, statistical output interpretation, information verification, data privacy, and research integrity. Evaluation used a 12-item questionnaire consisting of eight closed-ended and four open-ended questions. Descriptive and thematic analyses identified four main themes: AI as a learning and research support tool, AI-assisted statistical understanding, awareness of AI-related risks, and human responsibility and critical thinking. Participants recognized AI as useful for understanding statistical concepts, interpreting outputs, searching for information, and supporting research activities, while emphasizing verification, data anonymization, and avoiding excessive dependence on AI. The activity strengthened participants’ conceptual understanding of statistical literacy and responsible AI use in health research.
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Keywords:
AI literacy, health research, nutrition students, statistical literacyReferences
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