A scoping review of recent developments linking artificial intelligence and lifelong learning DOI Creative Commons
Jelena Pokimica,

Lara Sinkovich

Inovacije u nastavi, Год журнала: 2025, Номер 38(1), С. 46 - 58

Опубликована: Янв. 1, 2025

In this scoping review, we have been guided by questions on the nature of effects Generative AI lifelong learning in terms its advantages and shortcomings, especially since proliferation technologies over last half a decade. We also highlighted major artificial intelligence concepts discussed literature, as well reviewed current conceptual debates tensions, while concentrating higher education work settings. Our findings are organized three themes: 1) digitalization technologication learning; 2) self-directed learning, GAI ChatGPT, global contexts; 3) human development capability approach to learning. draw important implications for future empirical research directions, more fine-grained systematic reviews building preliminary work, organizational considerations. uniquely add discussions perspectives realm instigate probing into deeper ontological processes behind

Язык: Английский

Can large language models facilitate the effective implementation of nursing processes in clinical settings? DOI Creative Commons
Yuqin Cao, Hu Li, Xu Cao

и другие.

BMC Nursing, Год журнала: 2025, Номер 24(1)

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

A scoping review of recent developments linking artificial intelligence and lifelong learning DOI Creative Commons
Jelena Pokimica,

Lara Sinkovich

Inovacije u nastavi, Год журнала: 2025, Номер 38(1), С. 46 - 58

Опубликована: Янв. 1, 2025

In this scoping review, we have been guided by questions on the nature of effects Generative AI lifelong learning in terms its advantages and shortcomings, especially since proliferation technologies over last half a decade. We also highlighted major artificial intelligence concepts discussed literature, as well reviewed current conceptual debates tensions, while concentrating higher education work settings. Our findings are organized three themes: 1) digitalization technologication learning; 2) self-directed learning, GAI ChatGPT, global contexts; 3) human development capability approach to learning. draw important implications for future empirical research directions, more fine-grained systematic reviews building preliminary work, organizational considerations. uniquely add discussions perspectives realm instigate probing into deeper ontological processes behind

Язык: Английский

Процитировано

0