Research Article
An Empirical Study on Class Advisor Training: Evaluation, Challenges, and Implications
@INPROCEEDINGS{10.4108/eai.8-9-2023.2340026, author={Shiman Li and Haiwei Zuo and Yun Chen}, title={An Empirical Study on Class Advisor Training: Evaluation, Challenges, and Implications}, proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China}, publisher={EAI}, proceedings_a={ICMEIM}, year={2023}, month={11}, keywords={class advisers vocational schools training and evaluation system}, doi={10.4108/eai.8-9-2023.2340026} }- Shiman Li
Haiwei Zuo
Yun Chen
Year: 2023
An Empirical Study on Class Advisor Training: Evaluation, Challenges, and Implications
ICMEIM
EAI
DOI: 10.4108/eai.8-9-2023.2340026
Abstract
This research delves into the training regimen for class advisors in vocational schools, offering insights into its current state, hurdles, and the efficacy of assessment systems. Data was amassed via a detailed questionnaire circulated amongst class advisors, which was then subjected to a thorough investigation using both descriptive and inferential statistical methods. The results spotlight the heterogeneous demographic of class advisors and underscore the need for systematic, exhaustive training programs. We also uncover obstacles in the present training framework, particularly a deficiency in potent assessment and evaluation methods. Furthermore, the research provides an understanding of the perceived fairness of the class advisor evaluation system and its effectiveness from the class advisors' viewpoint. This exploration bolsters the refinement of class advisor training by facilitating a more profound comprehension and suggesting pragmatic enhancements.
