Research Article
Construction and Empirical Research on the Competency Model of Postgraduate Tutors in Colleges and Universities Under Distance Learning Environment
@INPROCEEDINGS{10.4108/eai.24-11-2023.2343553, author={Yu Xiang and Jianmin Liu}, title={Construction and Empirical Research on the Competency Model of Postgraduate Tutors in Colleges and Universities Under Distance Learning Environment}, proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China}, publisher={EAI}, proceedings_a={ITEI}, year={2024}, month={4}, keywords={remote education; graduate tutors; competency model}, doi={10.4108/eai.24-11-2023.2343553} }- Yu Xiang
Jianmin Liu
Year: 2024
Construction and Empirical Research on the Competency Model of Postgraduate Tutors in Colleges and Universities Under Distance Learning Environment
ITEI
EAI
DOI: 10.4108/eai.24-11-2023.2343553
Abstract
In the swiftly evolving landscape of higher education, the fusion of globalization and digitalization has propelled distance learning to the forefront, reshaping the pedagogical landscape. This paradigm shift, especially prevalent in graduate education, presents a mosaic of opportunities and challenges. China, with its exponential rise in graduate students and tutors as of 2022, epitomizes the expansive growth in higher education. However, the surge in distance learning platforms necessitates a meticulous evaluation of the competencies vital for graduate mentors to excel in virtual teaching environments. This study analyzes the Competence Model of mentor competency, aiming to empower mentors to navigate these complexities adeptly., aiming to empower mentors to navigate these complexities adeptly. Moreover, by harnessing the potential of big data and artificial intelligence, the research endeavors to unravel innovative approaches in optimizing mentor-student interactions in remote learning environments.
