Integrating deep learning techniques for personalized learning pathways in higher education

Naseer, Fawad; Khan, Muhammad Nasir; Tahir, Muhammad; Addas, Abdullah; Aejaz, S.M. Haider

doi:10.1016/j.heliyon.2024.e32628

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e32628

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Integrating deep learning techniques for personalized learning pathways in higher education

Fawad Naseer,

Muhammad Nasir Khan,

Muhammad Tahir

et al.

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2024

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Cited by 2 publications

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Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era

Tong,

Zhang,

Zeng

et al. 2024

JMIR Med Educ

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China’s secondary vocational medical education is essential for training primary health care personnel and enhancing public health responses. This education system currently faces challenges, primarily due to its emphasis on knowledge acquisition that overshadows the development and application of skills, especially in the context of emerging artificial intelligence (AI) technologies. This article delves into the impact of AI on medical practices and uses this analysis to suggest reforms for the vocational medical education system in China. AI is found to significantly enhance diagnostic capabilities, therapeutic decision-making, and patient management. However, it also brings about concerns such as potential job losses and necessitates the adaptation of medical professionals to new technologies. Proposed reforms include a greater focus on critical thinking, hands-on experiences, skill development, medical ethics, and integrating humanities and AI into the curriculum. These reforms require ongoing evaluation and sustained research to effectively prepare medical students for future challenges in the field.

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Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era

Tong,

Zhang,

Zeng

et al. 2024

JMIR Med Educ

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Innovación educativa con sistemas de aprendizaje adaptativo impulsados por Inteligencia Artificial

Aparicio-Gómez,

Aparicio-Gómez

2024

RIPIE

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La irrupción de la Inteligencia Artificial (IA) está transformando la educación mediante sistemas de aprendizaje adaptativo. Estos sistemas, basados en algoritmos de IA, personalizan la experiencia educativa ajustándose a las necesidades y estilos de aprendizaje de cada estudiante. Utilizando técnicas como el machine learning y el deep learning, analizan grandes volúmenes de datos para generar itinerarios de aprendizaje personalizados, rompiendo con el modelo de enseñanza homogénea. Para su implementación, se requiere una plataforma tecnológica adecuada, una infraestructura de datos sólida y la formación de docentes en el uso de estas herramientas. Los beneficios son múltiples: los estudiantes reciben retroalimentación en tiempo real y avanzan a su propio ritmo, mejorando su motivación y eficacia en el aprendizaje, mientras los docentes pueden enfocar sus esfuerzos en tareas de mayor valor añadido y obtener información valiosa sobre el progreso de sus estudiantes, facilitando la enseñanza adaptativa y personalizada.

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Integrating deep learning techniques for personalized learning pathways in higher education

Cited by 2 publications

References 47 publications

Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era

Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era

Innovación educativa con sistemas de aprendizaje adaptativo impulsados por Inteligencia Artificial

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