Đề xuất nội dung và mô hình bồi dưỡng năng lực số gắn với năng lực ứng dụng trí tuệ nhân tạo cho giảng viên Trường Cao đẳng Sư phạm Trung ương

Tóm tắt

This study proposes content and a professional development model for integrating digital competence with artificial intelligence (AI) application competence for lecturers at the National College for Education. Based on document analysis and a self-assessment survey of 129 lecturers using 51 criteria across nine competence groups, the study identifies areas for priority development. In addition, 115 lecturers, who were a subset of the 129 respondents and participated in training activities, provided post-training feedback on the proposed content and model. The findings indicate variation in self-assessed competence, with digital content creation and integration, research in digital environments, and AI application identified as priority areas. Drawing on policy documents, international competency frameworks, previous studies, and practical needs, the study proposes six training content areas and a three-level model comprising foundation, development, and advanced levels. Training is organized around professional tasks, practical activities, and output-based products rather than individual digital tools. The post-training feedback indicates a high level of perceived relevance and acceptability of the proposed content and model. However, these responses do not establish changes in competence or causal effects. Further research should examine changes in lecturers’ competence and their application of digital technologies and AI in professional practice.