Statistical Diagnosis Of Prior Knowledge And The Evolution Of Transdisciplinary Learning Of Natural Sciences In The Degrees In Education

Authors

  • Carlos Fernandez University of Barcelona, Spain Author

Abstract

This study consists of a diagnosis of the state of prior knowledge (PC) of two students who enter the Primary Education course (GEP) taught at the King Juan Carlos University (URJC) by means of a series of questionnaires focused on the main disciplines that we traditionally compõem as Natural Sciences: Biology, Geology, Physics and Chemistry. Based on the given nesses, a comparison is made between them and the subsequent academic results (AR) obtained by students after completing the disciplines in the area of ​​Natural Sciences in the GEP. The results show a correlation between the results obtained by the students in the Previous Knowledge Questionnaires (PC) and the academic results (AR). The efficiency rate is 67% for all the disciplines analyzed, which translates into a efficiency rate of 4.5 points in comparison with the PCs. A correlation can be observed for Chemistry, Biology and the general set of Sciences, so that it can be inferred, according to the hypothesis test, which will be the taxa of melhoria two students in these disciplines based on the analysis of their results in CP questionnaires.

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Published

2022-03-07

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Articles

How to Cite

Statistical Diagnosis Of Prior Knowledge And The Evolution Of Transdisciplinary Learning Of Natural Sciences In The Degrees In Education . (2022). Multidisciplinary Journal of Management, Economics, and Accounting, 8(1). https://cridjournals.org/index.php/crid/article/view/58