“Bridging the Gap – An investigation into STEM and IT in second level education in Ireland”

Keady, Ciara (2014) “Bridging the Gap – An investigation into STEM and IT in second level education in Ireland”. Diploma thesis, Dublin, National College of Ireland.

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This report provides details of the data analysis project into STEM and IT teacher numbers and subject uptake at level 3A education in Ireland. The focus concerns the quantity of teachers registered in STEM and IT subject areas plus an analysis of male and female student numbers up taking subjects in these areas. The project is considerate of on what is needed to “bridge the gap” between supply and demand of skilled STEM and IT graduates in the labour force. The aim is through seeking trends on teacher numbers and subject uptake at second level education. The development of a project plan was created to oversee and monitor the process. Initial stages involved the use of MS Excel with VBA and pivot tables. The analysis was performed using R Studio, WEKA and MS Excel PowerPivot. Each dataset was analysed separately before comparative analysis between the two. The teacher data was not normally distributed and therefore non-parametric tests were applied. The student data set was shown to be normally distributed and therefore recognised parametric tests were used. Overall, the results are similar. Teacher numbers and student’s up taking STEM and IT subjects are rising. The relationship between males and females in both data sets showed strong correlation and similar variation. The data did highlight that the amount of female teachers registered in STEM and IT subjects is greater than males. However, the uptake by male students of subjects in STEM and IT at level 3A is higher than female uptake. Overall, it is important to consider these analyse in perspective through effect sizes of samples, rising population numbers and thus student numbers and the establishment of the Teaching Council in 2006 for more control over teacher registration.

Item Type: Thesis (Diploma)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Higher Diploma in Science in Data Analytics
Date Deposited: 12 Dec 2014 16:10
Last Modified: 12 Dec 2014 16:10

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