Analyzing University Dropout Rates in E-Learning and the Potential of Artificial Intelligence to Reduce Them: A Case Study of French Universities DOI

Atmane El Hadbi,

Mohammed Hatim Rziki,

Yassine Jamil

и другие.

Data & Metadata, Год журнала: 2024, Номер 4, С. 468 - 468

Опубликована: Окт. 31, 2024

During the COVID-19 pandemic, students worldwide faced unprecedented disruption, forcing educators to swiftly transition remote teaching. In French universities, strong political support at both national and institutional levels facilitated deployment of digital tools such as learning management systems (e.g., Moodle), collaborative platforms Google Meet, Microsoft Teams, Zoom), social networks. While this shift highlighted importance critical role technologies in education, it also raised significant concerns about quality online learning, process, assessment knowledge skills. This case study explores perceptions Sorbonne Paris Cite Universities regarding effectiveness e-learning. Results from a Multiple Correspondence Analysis indicate that system usability its positive impact on are key perceived success However, university dropout rates context stem combination factors influencing student engagement. Addressing these challenges requires comprehensive solutions involving multiple stakeholders, including organizations, educators, learners.

Язык: Английский

Determinants of academic desertion: A case study in a Peruvian university DOI Creative Commons
Einstein Sánchez Bardales, Angélica María Carrasco Rituay, Yuri Reina Marín

и другие.

Power and Education, Год журнала: 2025, Номер unknown

Опубликована: Фев. 20, 2025

University dropout has a social impact on students who do not complete their higher education studies since it limits job opportunities and personal development. Therefore, the present study aimed to determine factors influencing academic in Peruvian public university. A non-experimental, descriptive methodology was used with sample of 50 students; whom questionnaire applied. The results show that socioeconomic have greater student dropout; furthermore, influence differ according length studies. These depending area; personality sociocultural incidence engineering sciences. It is concluded university explained by single factor but interaction various elements socioeconomic, academic, nature.

Язык: Английский

Процитировано

0
Analyzing University Dropout Rates in E-Learning and the Potential of Artificial Intelligence to Reduce Them: A Case Study of French Universities DOI

Atmane El Hadbi,

Mohammed Hatim Rziki,

Yassine Jamil

и другие.

Data & Metadata, Год журнала: 2024, Номер 4, С. 468 - 468

Опубликована: Окт. 31, 2024

During the COVID-19 pandemic, students worldwide faced unprecedented disruption, forcing educators to swiftly transition remote teaching. In French universities, strong political support at both national and institutional levels facilitated deployment of digital tools such as learning management systems (e.g., Moodle), collaborative platforms Google Meet, Microsoft Teams, Zoom), social networks. While this shift highlighted importance critical role technologies in education, it also raised significant concerns about quality online learning, process, assessment knowledge skills. This case study explores perceptions Sorbonne Paris Cite Universities regarding effectiveness e-learning. Results from a Multiple Correspondence Analysis indicate that system usability its positive impact on are key perceived success However, university dropout rates context stem combination factors influencing student engagement. Addressing these challenges requires comprehensive solutions involving multiple stakeholders, including organizations, educators, learners.

Язык: Английский

Процитировано

0