CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning Environments
The COVID-19 pandemic accelerated the shift to digital education as universities across the world rapidly adopted virtual classrooms for remote learning. Ensuring continuous student engagement in virtual environments remains one of the key challenges. This paper discusses how AI and data analytics a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/14/3/77 |
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| _version_ | 1849341853031202816 |
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| author | Bilal Hassan Muhammad Omer Raza Yusra Siddiqi Muhammad Farooq Wasiq Rabiya Ayesha Siddiqui |
| author_facet | Bilal Hassan Muhammad Omer Raza Yusra Siddiqi Muhammad Farooq Wasiq Rabiya Ayesha Siddiqui |
| author_sort | Bilal Hassan |
| collection | DOAJ |
| description | The COVID-19 pandemic accelerated the shift to digital education as universities across the world rapidly adopted virtual classrooms for remote learning. Ensuring continuous student engagement in virtual environments remains one of the key challenges. This paper discusses how AI and data analytics are being applied to education, particularly the ways in which technologies such as biometrics and facial recognition can be used to improve student engagement in online and hybrid learning environments. This paper tries to revisit the dynamics of engagement across virtual platforms by comparing traditional learning models and digital learning models and showing the gaps that exist. This study reviewed six widely used video conferencing tools and their effectiveness in fostering engagement in virtual classrooms. The research goes on to investigate cross-cultural tech adoption in education—how regions and educational systems respond to these emerging technologies. Against this background of the challenges identified, a new application, “CONNECT”, is proposed in this paper that can integrate AI-driven features on face recognition and speech-to-text and attendance monitoring to enable real-time authentication and tracking of engagement. This study also provides an overview of the theoretical models of digital, hybrid, and blended learning and provides actionable recommendations for future research and innovation in cross-cultural online education. |
| format | Article |
| id | doaj-art-c09e7b3784a8418f8c2e12e6b7707be9 |
| institution | Kabale University |
| issn | 2073-431X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj-art-c09e7b3784a8418f8c2e12e6b7707be92025-08-20T03:43:33ZengMDPI AGComputers2073-431X2025-02-011437710.3390/computers14030077CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning EnvironmentsBilal Hassan0Muhammad Omer Raza1Yusra Siddiqi2Muhammad Farooq Wasiq3Rabiya Ayesha Siddiqui4Faculty of Engineering & Environment, Northumbria University, London Campus, London E1 7HT, UKFaculty of Engineering & Environment, Northumbria University, London Campus, London E1 7HT, UKMETICS Solutions Ltd., Ilford IG3 9JA, UKMETICS Solutions Ltd., Ilford IG3 9JA, UKMETICS Solutions Ltd., Ilford IG3 9JA, UKThe COVID-19 pandemic accelerated the shift to digital education as universities across the world rapidly adopted virtual classrooms for remote learning. Ensuring continuous student engagement in virtual environments remains one of the key challenges. This paper discusses how AI and data analytics are being applied to education, particularly the ways in which technologies such as biometrics and facial recognition can be used to improve student engagement in online and hybrid learning environments. This paper tries to revisit the dynamics of engagement across virtual platforms by comparing traditional learning models and digital learning models and showing the gaps that exist. This study reviewed six widely used video conferencing tools and their effectiveness in fostering engagement in virtual classrooms. The research goes on to investigate cross-cultural tech adoption in education—how regions and educational systems respond to these emerging technologies. Against this background of the challenges identified, a new application, “CONNECT”, is proposed in this paper that can integrate AI-driven features on face recognition and speech-to-text and attendance monitoring to enable real-time authentication and tracking of engagement. This study also provides an overview of the theoretical models of digital, hybrid, and blended learning and provides actionable recommendations for future research and innovation in cross-cultural online education.https://www.mdpi.com/2073-431X/14/3/77student engagementonline learningvideo conferencingbehavior monitoringcross-cultural technology adoption |
| spellingShingle | Bilal Hassan Muhammad Omer Raza Yusra Siddiqi Muhammad Farooq Wasiq Rabiya Ayesha Siddiqui CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning Environments Computers student engagement online learning video conferencing behavior monitoring cross-cultural technology adoption |
| title | CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning Environments |
| title_full | CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning Environments |
| title_fullStr | CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning Environments |
| title_full_unstemmed | CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning Environments |
| title_short | CONNECT: An AI-Powered Solution for Student Authentication and Engagement in Cross-Cultural Digital Learning Environments |
| title_sort | connect an ai powered solution for student authentication and engagement in cross cultural digital learning environments |
| topic | student engagement online learning video conferencing behavior monitoring cross-cultural technology adoption |
| url | https://www.mdpi.com/2073-431X/14/3/77 |
| work_keys_str_mv | AT bilalhassan connectanaipoweredsolutionforstudentauthenticationandengagementincrossculturaldigitallearningenvironments AT muhammadomerraza connectanaipoweredsolutionforstudentauthenticationandengagementincrossculturaldigitallearningenvironments AT yusrasiddiqi connectanaipoweredsolutionforstudentauthenticationandengagementincrossculturaldigitallearningenvironments AT muhammadfarooqwasiq connectanaipoweredsolutionforstudentauthenticationandengagementincrossculturaldigitallearningenvironments AT rabiyaayeshasiddiqui connectanaipoweredsolutionforstudentauthenticationandengagementincrossculturaldigitallearningenvironments |