6533b835fe1ef96bd129ff85

RESEARCH PRODUCT

Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth

Massimo StellaAnna Zaytseva

subject

General Computer ScienceEntropymedia_common.quotation_subjectClosenessComplex networksNetwork Science and Online Social NetworksMindset050105 experimental psychologyPsycholinguisticslcsh:QA75.5-76.95Education03 medical and health sciences0302 clinical medicineNursingLearning outcomesPerceptionOpenness to experienceStance detection0501 psychology and cognitive sciencesmedia_commonTeamworkPsycholinguisticsData Science05 social sciencesProfessional developmentHealthcareCognitionSTEMComputational LinguisticsAttitudeVDP::Medisinske Fag: 700::Helsefag: 800lcsh:Electronic computers. Computer science030217 neurology & neurosurgeryMindset modelling

description

Reconstructing a “forma mentis”, a mindset, and its changes, means capturing how individuals perceive topics, trends and experiences over time. To this aim we use forma mentis networks (FMNs), which enable direct, microscopic access to how individuals conceptually perceive knowledge and sentiment around a topic, providing richer contextual information than machine learning. FMNs build cognitive representations of stances through psycholinguistic tools like conceptual associations from semantic memory (free associations, i.e., one concept eliciting another) and affect norms (valence, i.e., how attractive a concept is). We test FMNs by investigating how Norwegian nursing and engineering students perceived innovation and health before and after a 2-month research project in e-health. We built and analysed FMNs by six individuals, based on 75 cues about innovation and health, and leading to 1,000 associations between 730 concepts. We repeated this procedure before and after the project. When investigating changes over time, individual FMNs highlighted drastic improvements in all students’ stances towards “teamwork”, “collaboration”, “engineering” and “future”, indicating the acquisition and strengthening of a positive belief about innovation. Nursing students improved their perception of ‘robots” and “technology” and related them to the future of nursing. A group-level analysis related these changes to the emergence, during the project, of conceptual associations about openness towards multidisciplinary collaboration, and a positive, leadership-oriented group dynamics. The whole group identified “mathematics” and “coding” as highly relevant concepts after the project. When investigating persistent associations, characterising the core of students’ mindsets, network distance entropy and closeness identified as pivotal in the students’ mindsets concepts related to “personal well-being”, “professional growth” and “teamwork”. This result aligns with and extends previous studies reporting the relevance of teamwork and personal well-being for Norwegian healthcare professionals, also within the novel e-health sector. Our analysis indicates that forma mentis networks are powerful proxies for detecting individual- and group-level mindset changes due to professional growth. FMNs open new scenarios for data-informed, multidisciplinary interventions aimed at professional training in innovation.

10.7717/peerj-cs.255https://hdl.handle.net/11250/2659609