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      Forma mentis networks quantify crucial differences in STEM perception between students and experts

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          Abstract

          In order to investigate how high school students and researchers perceive science-related (STEM) subjects, we introduce forma mentis networks. This framework models how people conceptually structure their stance, mindset or forma mentis toward a given topic. In this study, we build forma mentis networks revolving around STEM and based on psycholinguistic data, namely free associations of STEM concepts (i.e., which words are elicited first and associated by students/researchers reading “science”?) and their valence ratings concepts (i.e., is “science” perceived as positive, negative or neutral by students/researchers?). We construct separate networks for ( N s = 159) Italian high school students and ( N r = 59) interdisciplinary professionals and researchers in order to investigate how these groups differ in their conceptual knowledge and emotional perception of STEM. Our analysis of forma mentis networks at various scales indicate that, like researchers, students perceived “science” as a strongly positive entity. However, differently from researchers, students identified STEM subjects like “physics” and “mathematics” as negative and associated them with other negative STEM-related concepts. We call this surrounding of negative associations a negative emotional aura. Cross-validation with external datasets indicated that the negative emotional auras of physics, maths and statistics in the students’ forma mentis network related to science anxiety. Furthermore, considering the semantic associates of “mathematics” and “physics” revealed that negative auras may originate from a bleak, dry perception of the technical methodology and mnemonic tools taught in these subjects (e.g., calculus rules). Overall, our results underline the crucial importance of emphasizing nontechnical and applied aspects of STEM disciplines, beyond purely methodological teaching. The quantitative insights achieved through forma mentis networks highlight the necessity of establishing novel pedagogic and interdisciplinary links between science, its real-world complexity, and creativity in science learning in order to enhance the impact of STEM education, learning and outreach activities.

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          Most cited references35

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          Math Anxiety: Personal, Educational, and Cognitive Consequences

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            Bots increase exposure to negative and inflammatory content in online social systems

            Significance Social media can deeply influence reality perception, affecting millions of people’s voting behavior. Hence, maneuvering opinion dynamics by disseminating forged content over online ecosystems is an effective pathway for social hacking. We propose a framework for discovering such a potentially dangerous behavior promoted by automatic users, also called “bots,” in online social networks. We provide evidence that social bots target mainly human influencers but generate semantic content depending on the polarized stance of their targets. During the 2017 Catalan referendum, used as a case study, social bots generated and promoted violent content aimed at Independentists, ultimately exacerbating social conflict online. Our results open challenges for detecting and controlling the influence of such content on society.
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              Research on Interest in Science: Theories, methods, and findings

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2019
                17 October 2019
                : 14
                : 10
                : e0222870
                Affiliations
                [1 ] Institute for Complex Systems Simulation, University of Southampton, Southampton, United Kingdom
                [2 ] Complex Science Consulting, Lecce, Italy
                [3 ] Institute for Web Science and Technologies, University of Koblenz-Landau, Koblenz, Germany
                [4 ] Scientific Computing Laboratory, Center for the Study of Complex Systems, Institute of Physics Belgrade, Belgrade, Serbia
                [5 ] Department of Psychology, University of Warwick, Coventry, United Kingdom
                [6 ] Department of Psychology, National University of Singapore, Singapore, Singapore
                University of Sao Paulo, BRAZIL
                Author notes

                Competing Interests: Commercial affiliation with Complex Science Consulting does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials. All the authors declare no competing financial, non-financial, professional or personal competing interests.

                Author information
                http://orcid.org/0000-0003-1810-9699
                http://orcid.org/0000-0003-3384-7374
                Article
                PONE-D-19-07800
                10.1371/journal.pone.0222870
                6797169
                31622351
                48296c82-44e4-40f1-b5aa-2de070ffaf9c
                © 2019 Stella et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 April 2019
                : 9 September 2019
                Page count
                Figures: 5, Tables: 0, Pages: 21
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000266, Engineering and Physical Sciences Research Council;
                Award ID: EP/G03690X/1
                Award Recipient :
                M.S. was supported by an EPSRC Doctoral Training Centre grant (EP/G03690X/1). Official website: https://epsrc.ukri.org/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Complex Science Consulting provided support in the form of salaries for author M.S., but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of this author are articulated in the ‘author contributions’ section.
                Categories
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                Physical Sciences
                Physics
                Mathematical Physics
                Biology and Life Sciences
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                Emotions
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                The data is available on the Open Science Foundation public repository, under CC licence 4.0-By-Attribution, with the following DOI: 10.17605/OSF.IO/XYFWG.

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