Chapter A structural equation model to measure logical competences
Logical abilities are a ubiquitous ingredient in all those contexts that take into account soft skills, argumentative skills or critical thinking. However, the relationship between logical models and the enhancement of these abilities is rarely explicitly considered. Two aspects of the issue are par...
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| Format: | Online |
| Sprache: | Englisch |
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Firenze University Press
2022
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| Online-Zugang: | ONIX_20220601_9788855184618_533 |
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| author | BACCI, Silvia Bertaccini, Bruno Bruni, Riccardo Crescenzi, Federico Donati, Beatrice |
| author_browse | BACCI, Silvia Bertaccini, Bruno Bruni, Riccardo Crescenzi, Federico Donati, Beatrice |
| author_facet | BACCI, Silvia Bertaccini, Bruno Bruni, Riccardo Crescenzi, Federico Donati, Beatrice |
| author_sort | BACCI, Silvia |
| collection | Directory of Open Access Books |
| description | Logical abilities are a ubiquitous ingredient in all those contexts that take into account soft skills, argumentative skills or critical thinking. However, the relationship between logical models and the enhancement of these abilities is rarely explicitly considered. Two aspects of the issue are particularly critical in our opinion, namely: (i) the lack of statistically relevant data concerning these competences; (ii) the absence of reliable indices that might be used to detect and measure the possession of abilities underlying the aforementioned skills. This paper addresses both aspects of this topic by presenting the results of a research that we conducted between October and December 2020 on students enrolled in various degree courses at the University of Florence. The dataset has been collected by a three-stage initiative. We started from an entrance examination to assess the students' initial abilities. This test included ten questions, each regarding a specific aspect of logical reasoning. Then, students underwent a short training course to strengthen their knowledge of logic. At the end of the short course, students underwent a final examination to evaluate the effectiveness of the training. To verify the effectiveness of the training program we used students’ characteristics into a Structural Equation Model comparing the distribution of abilities before and after the training. |
| format | Online |
| id | doab-20.500.12854ir-82739 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-827392022-06-02T04:16:30Z Chapter A structural equation model to measure logical competences BACCI, Silvia Bertaccini, Bruno Bruni, Riccardo Crescenzi, Federico Donati, Beatrice SEM Logical abilities Training course effectiveness Logical abilities are a ubiquitous ingredient in all those contexts that take into account soft skills, argumentative skills or critical thinking. However, the relationship between logical models and the enhancement of these abilities is rarely explicitly considered. Two aspects of the issue are particularly critical in our opinion, namely: (i) the lack of statistically relevant data concerning these competences; (ii) the absence of reliable indices that might be used to detect and measure the possession of abilities underlying the aforementioned skills. This paper addresses both aspects of this topic by presenting the results of a research that we conducted between October and December 2020 on students enrolled in various degree courses at the University of Florence. The dataset has been collected by a three-stage initiative. We started from an entrance examination to assess the students' initial abilities. This test included ten questions, each regarding a specific aspect of logical reasoning. Then, students underwent a short training course to strengthen their knowledge of logic. At the end of the short course, students underwent a final examination to evaluate the effectiveness of the training. To verify the effectiveness of the training program we used students’ characteristics into a Structural Equation Model comparing the distribution of abilities before and after the training. 2022-06-02T04:16:30Z 2022-06-02T04:16:30Z 2022-06-01T12:20:14Z 2021 chapter ONIX_20220601_9788855184618_533 2704-5846 https://library.oapen.org/handle/20.500.12657/56348 9788855184618 https://directory.doabooks.org/handle/20.500.12854/82739 eng Proceedings e report open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/56348/1/26226.pdf Firenze University Press 10.36253/978-88-5518-461-8.08 10.36253/978-88-5518-461-8.08 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9788855184618 5 Florence open access |
| spellingShingle | SEM Logical abilities Training course effectiveness BACCI, Silvia Bertaccini, Bruno Bruni, Riccardo Crescenzi, Federico Donati, Beatrice Chapter A structural equation model to measure logical competences |
| title | Chapter A structural equation model to measure logical competences |
| title_full | Chapter A structural equation model to measure logical competences |
| title_fullStr | Chapter A structural equation model to measure logical competences |
| title_full_unstemmed | Chapter A structural equation model to measure logical competences |
| title_short | Chapter A structural equation model to measure logical competences |
| title_sort | chapter a structural equation model to measure logical competences |
| topic | SEM Logical abilities Training course effectiveness |
| topic_facet | SEM Logical abilities Training course effectiveness |
| url | ONIX_20220601_9788855184618_533 |
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