Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysis
<p class="Resumen">The Statistical Implicative Analysis (SIA) is a method of non-symmetrical analysis of data whose main objective is the structuring of data, interrelating individuals and variables, the extraction of inductive rules among the variables and from their contingency, th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Ediciones UO
2018-03-01
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| Series: | Maestro y Sociedad |
| Subjects: | |
| Online Access: | https://revistas.uo.edu.cu/index.php/MyS/article/view/3520 |
| _version_ | 1811228179725025280 |
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| author | Larisa Zamora-Matamoros Jorge Díaz-Silvera |
| author_facet | Larisa Zamora-Matamoros Jorge Díaz-Silvera |
| author_sort | Larisa Zamora-Matamoros |
| collection | DOAJ |
| description | <p class="Resumen">The Statistical Implicative Analysis (SIA) is a method of non-symmetrical analysis of data whose main objective is the structuring of data, interrelating individuals and variables, the extraction of inductive rules among the variables and from their contingency, the explanation and in consequence a certain prediction in different knowledge branches. The SIA holds two techniques of analysis of data, the cohesive analysis and the implicative analysis, along with the classificatory or similarity analysis. The objective of the present research is to reveal possible similarity, propensity and cohesion relationships among the academic results of students coming from high schools that enter to Computer Science career and the results that they show in undergraduate courses related to Mathematics and Programming, which they receive in the first year of the mentioned career. The gathered data were processed using the software SIASI for modal data.</p> |
| first_indexed | 2024-04-12T09:53:55Z |
| format | Article |
| id | doaj.art-2682599cfb184051b488d4521c567291 |
| institution | Directory Open Access Journal |
| issn | 1815-4867 |
| language | English |
| last_indexed | 2024-04-12T09:53:55Z |
| publishDate | 2018-03-01 |
| publisher | Ediciones UO |
| record_format | Article |
| series | Maestro y Sociedad |
| spelling | doaj.art-2682599cfb184051b488d4521c5672912022-12-22T03:37:44ZengEdiciones UOMaestro y Sociedad1815-48672018-03-011522032122760Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysisLarisa Zamora-Matamoros0Jorge Díaz-Silvera1Universidad de OrienteUniversidad de Oriente<p class="Resumen">The Statistical Implicative Analysis (SIA) is a method of non-symmetrical analysis of data whose main objective is the structuring of data, interrelating individuals and variables, the extraction of inductive rules among the variables and from their contingency, the explanation and in consequence a certain prediction in different knowledge branches. The SIA holds two techniques of analysis of data, the cohesive analysis and the implicative analysis, along with the classificatory or similarity analysis. The objective of the present research is to reveal possible similarity, propensity and cohesion relationships among the academic results of students coming from high schools that enter to Computer Science career and the results that they show in undergraduate courses related to Mathematics and Programming, which they receive in the first year of the mentioned career. The gathered data were processed using the software SIASI for modal data.</p>https://revistas.uo.edu.cu/index.php/MyS/article/view/3520análisis estadístico implicativoSIASIvariables modalesrendimiento académico |
| spellingShingle | Larisa Zamora-Matamoros Jorge Díaz-Silvera Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysis Maestro y Sociedad análisis estadístico implicativo SIASI variables modales rendimiento académico |
| title | Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysis |
| title_full | Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysis |
| title_fullStr | Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysis |
| title_full_unstemmed | Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysis |
| title_short | Study of causal relationships among indicators of academic performance in the freshman year of Computer Science by using modal implicative analysis |
| title_sort | study of causal relationships among indicators of academic performance in the freshman year of computer science by using modal implicative analysis |
| topic | análisis estadístico implicativo SIASI variables modales rendimiento académico |
| url | https://revistas.uo.edu.cu/index.php/MyS/article/view/3520 |
| work_keys_str_mv | AT larisazamoramatamoros studyofcausalrelationshipsamongindicatorsofacademicperformanceinthefreshmanyearofcomputersciencebyusingmodalimplicativeanalysis AT jorgediazsilvera studyofcausalrelationshipsamongindicatorsofacademicperformanceinthefreshmanyearofcomputersciencebyusingmodalimplicativeanalysis |