Fostering Equitable and Inclusive Online IT Education: Insights from the CodeIn Project
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| Title: | Fostering Equitable and Inclusive Online IT Education: Insights from the CodeIn Project |
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| Authors: | Urem, Frane, Udovičić, Ana, Jureković, Darko |
| Source: | 2025 MIPRO 48th ICT and Electronics Convention. :759-763 |
| Publisher Information: | IEEE, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | Enquiry-Based Learning, Distance Learning, Inclusive Education, Women in IT |
| Description: | The CodeIn project (Cloud cOmputing for Digital Education INnovation) which was implemented under the Erasmus+ KA2 program was aimed at improving teachers' and students' capacity in online IT education during the COVID-19 pandemic. The main objective was to identify approaches, such as Enquiry-based learning, to support equitable and quality learning environments and enhance the participation of female learners in IT. This paper presents findings and recommendations from two case studies: new modules of machine learning and cloud computing were implemented, and pedagogical strategies to encourage female students to IT education were investigated. The findings of the study show that the project had a positive impact on the students' engagement, interest in practical knowledge, and equity between the genders. |
| Document Type: | Article Conference object |
| DOI: | 10.1109/mipro65660.2025.11131829 |
| Rights: | STM Policy #29 |
| Accession Number: | edsair.doi.dedup.....d97ed6ce904ff674cac7a42b21b13586 |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | The CodeIn project (Cloud cOmputing for Digital Education INnovation) which was implemented under the Erasmus+ KA2 program was aimed at improving teachers' and students' capacity in online IT education during the COVID-19 pandemic. The main objective was to identify approaches, such as Enquiry-based learning, to support equitable and quality learning environments and enhance the participation of female learners in IT. This paper presents findings and recommendations from two case studies: new modules of machine learning and cloud computing were implemented, and pedagogical strategies to encourage female students to IT education were investigated. The findings of the study show that the project had a positive impact on the students' engagement, interest in practical knowledge, and equity between the genders. |
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| DOI: | 10.1109/mipro65660.2025.11131829 |