Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R
The aim of the current research project is to investigate the low retention rate in second year undergraduate computing students at a London based university. The research is conducted during the post-Covid-19 era using learned optimism as a lens. The main aim is to support the university’s efforts...
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| Format: | Conference or Workshop Item |
| Language: | English |
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Springer Nature
2024
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| Online Access: | https://repository.londonmet.ac.uk/8591/2/STUDENT%20RETENTION%20IN%20SECOND%20YEAR%20COMPUTING.pdf |
| _version_ | 1825625816001675264 |
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| author | Chrysikos, Alexandros Bamford, Neal |
| author2 | Swaroop, Abhishek |
| author_facet | Swaroop, Abhishek Chrysikos, Alexandros Bamford, Neal |
| author_sort | Chrysikos, Alexandros |
| collection | LMU |
| description | The aim of the current research project is to investigate the low retention rate in second year undergraduate computing students at a London based university. The research is conducted during the post-Covid-19 era using learned optimism as a lens. The main aim is to support the university’s efforts to improve retention rate as the overall dropout has been increasing in the last few years. The research methodology employed was an exploratory investigation approach by using statistical modelling analysis in R to predict behavioural patterns. The study aimed to discover any effect the CODE-It initiative had on student grades and optimism scores, to quantify its success as an initiative. The main outcome of the data analysis is that the CODE-It initiative positively affected student optimism score, especially black ethnicity students. Furthermore, a slight increase in the least optimistic students was observed. Returning to in person interaction with classmates and lecturers could be a major factor in reducing the minimum score compared to the previous year’s study (2021). However, there is still a very real post pandemic effect being experienced by many students, especially around matters of hardship and finance. Finally, for those students who did attend CODE-It, 85% showed that they felt it was a worthwhile exercise. Specifically, black ethnicity students had a higher proportion of attendance and were no longer the student ethnicity group with the lowest optimism score. |
| first_indexed | 2024-07-09T04:06:51Z |
| format | Conference or Workshop Item |
| id | oai:repository.londonmet.ac.uk:8591 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2025-02-19T01:15:16Z |
| publishDate | 2024 |
| publisher | Springer Nature |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:85912025-01-14T01:58:03Z https://repository.londonmet.ac.uk/8591/ Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R Chrysikos, Alexandros Bamford, Neal 000 Computer science, information & general works 370 Education The aim of the current research project is to investigate the low retention rate in second year undergraduate computing students at a London based university. The research is conducted during the post-Covid-19 era using learned optimism as a lens. The main aim is to support the university’s efforts to improve retention rate as the overall dropout has been increasing in the last few years. The research methodology employed was an exploratory investigation approach by using statistical modelling analysis in R to predict behavioural patterns. The study aimed to discover any effect the CODE-It initiative had on student grades and optimism scores, to quantify its success as an initiative. The main outcome of the data analysis is that the CODE-It initiative positively affected student optimism score, especially black ethnicity students. Furthermore, a slight increase in the least optimistic students was observed. Returning to in person interaction with classmates and lecturers could be a major factor in reducing the minimum score compared to the previous year’s study (2021). However, there is still a very real post pandemic effect being experienced by many students, especially around matters of hardship and finance. Finally, for those students who did attend CODE-It, 85% showed that they felt it was a worthwhile exercise. Specifically, black ethnicity students had a higher proportion of attendance and were no longer the student ethnicity group with the lowest optimism score. Springer Nature Swaroop, Abhishek Polkowski, Zdzislaw Correia, Sérgio Duarte Virdee, Bal Singh 2024-01-14 Conference or Workshop Item PeerReviewed text en https://repository.londonmet.ac.uk/8591/2/STUDENT%20RETENTION%20IN%20SECOND%20YEAR%20COMPUTING.pdf Chrysikos, Alexandros and Bamford, Neal (2024) Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R. In: ICDAM2023, 23-24 June 2023, London Metropolitan University - London, UK. https://link.springer.com/chapter/10.1007/978-981-99-6544-1_5 10.1007/978-981-99-6544-1 10.1007/978-981-99-6544-1 |
| spellingShingle | 000 Computer science, information & general works 370 Education Chrysikos, Alexandros Bamford, Neal Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R |
| title | Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R |
| title_full | Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R |
| title_fullStr | Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R |
| title_full_unstemmed | Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R |
| title_short | Retention in second year computing students in a London-based university during the post-Covid-19 era using learned optimism as a lens: a statistical analysis in R |
| title_sort | retention in second year computing students in a london based university during the post covid 19 era using learned optimism as a lens a statistical analysis in r |
| topic | 000 Computer science, information & general works 370 Education |
| url | https://repository.londonmet.ac.uk/8591/2/STUDENT%20RETENTION%20IN%20SECOND%20YEAR%20COMPUTING.pdf |
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