Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Апрель 16, 2025

STEM fields—Science, Technology, Engineering, and Mathematics—play crucial roles in advancing knowledge, driving innovation, addressing challenges by means of several mechanisms including research. Consequently, curricula higher education institutions prepare undergraduate students taking these fields to engage produce quality research outputs preparation for their future careers or roles. The advent educational resources help perform research-related tasks artificial intelligence. Although AI use is viewed as inappropriate doing scholarly works due concerns about academic integrity the fear losing essential cognitive skills, growing dependence among inevitable. In this regard, present study seeks empirically investigate influence toward students’ productivity, mediating disposition, self-efficacy. Through literature review, a structural model was proposed validated. Initially, instrument developed reflective constructs where items were also generated using review. Eventually, an online survey conducted recorded 834 valid responses from students. Results revealed that seven hypotheses model, six are supported except causal path between productivity. paths dispositions, self-efficacy well three This indicates mediation linking findings imply strategic integration may foster not only skills development but motivation confidence, which together could enhance overall productivity fields.

Язык: Английский

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Data meets diagnosis: how AI is transforming research

Journal of Paramedic Practice, Год журнала: 2024, Номер 16(12), С. 508 - 510

Опубликована: Дек. 2, 2024

Язык: Английский

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