Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning
Although the number of working computing women is steadily increasing in Bangladesh, it is a ray of hope that the gender gap is reducing day by day among final year students to higher-level job holders. This research aims to forecast how women in Bangladesh perceive and respond to pursuing careers i...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
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INTI International University
2025
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| Online Access: | http://eprints.intimal.edu.my/2185/ http://eprints.intimal.edu.my/2185/1/joit2025_11.pdf http://eprints.intimal.edu.my/2185/2/735 |
| _version_ | 1848766987487936512 |
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| author | Md. Azim, Howlader Fahad, Bin Aziz Mahbuba Yesmin, Turaba Tarikuzzaman, Emon Moskura, Hoque Israt, Jahan Ahmed, Saif Reza Rayhan, Chowdhury |
| author_facet | Md. Azim, Howlader Fahad, Bin Aziz Mahbuba Yesmin, Turaba Tarikuzzaman, Emon Moskura, Hoque Israt, Jahan Ahmed, Saif Reza Rayhan, Chowdhury |
| author_sort | Md. Azim, Howlader |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Although the number of working computing women is steadily increasing in Bangladesh, it is a ray of hope that the gender gap is reducing day by day among final year students to higher-level job holders. This research aims to forecast how women in Bangladesh perceive and respond to pursuing careers in Computer Science. Primary data is collected by surveying women's experience that incorporates various open-ended and closed-ended questions and thus developed a dataset from 501 respondents, whereas respondents' age group were 19 to 60 years, and the majority were working in private sector jobs. A statistical tool Pearson's chi-square test is implemented to correlate between variables and thus different machine learning approaches, including Random Forest (which achieved a topmost accuracy of 85.00%), Decision Tree, XGBoost, Logistic Regression and K-Nearest Neighbors were implemented. It has explored the position, success, and obstacles of women in their place in Computer Science in Bangladesh, and one of the most delightful revelations is the borderline association of unequal pay. Notably, over 66% of the respondents reported that they do not encounter gender-based discrimination in their workplaces in terms of career advancement within various sectors of computer science. |
| first_indexed | 2025-11-14T11:59:52Z |
| format | Article |
| id | intimal-2185 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:52Z |
| publishDate | 2025 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-21852025-09-29T01:42:21Z http://eprints.intimal.edu.my/2185/ Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning Md. Azim, Howlader Fahad, Bin Aziz Mahbuba Yesmin, Turaba Tarikuzzaman, Emon Moskura, Hoque Israt, Jahan Ahmed, Saif Reza Rayhan, Chowdhury H Social Sciences (General) HD28 Management. Industrial Management HQ The family. Marriage. Woman QA75 Electronic computers. Computer science Although the number of working computing women is steadily increasing in Bangladesh, it is a ray of hope that the gender gap is reducing day by day among final year students to higher-level job holders. This research aims to forecast how women in Bangladesh perceive and respond to pursuing careers in Computer Science. Primary data is collected by surveying women's experience that incorporates various open-ended and closed-ended questions and thus developed a dataset from 501 respondents, whereas respondents' age group were 19 to 60 years, and the majority were working in private sector jobs. A statistical tool Pearson's chi-square test is implemented to correlate between variables and thus different machine learning approaches, including Random Forest (which achieved a topmost accuracy of 85.00%), Decision Tree, XGBoost, Logistic Regression and K-Nearest Neighbors were implemented. It has explored the position, success, and obstacles of women in their place in Computer Science in Bangladesh, and one of the most delightful revelations is the borderline association of unequal pay. Notably, over 66% of the respondents reported that they do not encounter gender-based discrimination in their workplaces in terms of career advancement within various sectors of computer science. INTI International University 2025-09 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2185/1/joit2025_11.pdf text en cc_by_4 http://eprints.intimal.edu.my/2185/2/735 Md. Azim, Howlader and Fahad, Bin Aziz and Mahbuba Yesmin, Turaba and Tarikuzzaman, Emon and Moskura, Hoque and Israt, Jahan and Ahmed, Saif Reza and Rayhan, Chowdhury (2025) Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning. Journal of Innovation and Technology, 2025 (11). pp. 1-8. ISSN 2805-5179 http://ipublishing.intimal.edu.my/joint.html |
| spellingShingle | H Social Sciences (General) HD28 Management. Industrial Management HQ The family. Marriage. Woman QA75 Electronic computers. Computer science Md. Azim, Howlader Fahad, Bin Aziz Mahbuba Yesmin, Turaba Tarikuzzaman, Emon Moskura, Hoque Israt, Jahan Ahmed, Saif Reza Rayhan, Chowdhury Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning |
| title | Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning |
| title_full | Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning |
| title_fullStr | Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning |
| title_full_unstemmed | Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning |
| title_short | Unveiling Career Pathways: Success and Challenges of Bangladeshi Women in Computer Science Through Machine Learning |
| title_sort | unveiling career pathways: success and challenges of bangladeshi women in computer science through machine learning |
| topic | H Social Sciences (General) HD28 Management. Industrial Management HQ The family. Marriage. Woman QA75 Electronic computers. Computer science |
| url | http://eprints.intimal.edu.my/2185/ http://eprints.intimal.edu.my/2185/ http://eprints.intimal.edu.my/2185/1/joit2025_11.pdf http://eprints.intimal.edu.my/2185/2/735 |