A Study on the Current State and Improvement Strategies of Teaching Methods for Teachers at Chongqing Business Vocational College
- Jinghui Xu , Faculty of Education, Srinakharinwirot University, Thailand & Chongqing Business Vocational College, China
- Chakrit Ponathong , Assistant Professor, Faculty of Education, Srinakharinwirot University, Thailand
- Pawatwong Bamroongkhan , Assistant Professor, Faculty of Education, Srinakharinwirot University, Thailand.
ABSTRACT
Purpose: This paper explores the current state of teaching methodologies at Chongqing Business Vocational College, focusing on six critical areas: teachers' instructional design, teaching practices, knowledge acquisition through practical experience, classroom atmosphere, instructional resources and technology, and assessment methods. Methods: A mixed-methods approach was adopted, combining both quantitative and qualitative research techniques. For the quantitative aspect, descriptive analysis and t-tests were primarily employed. Cluster sampling was used to survey all 57 full-time teachers in the Artificial Intelligence department, alongside a questionnaire survey of 60 students, selected via stratified sampling. Results: The findings indicate that the lowest levels of satisfaction among both faculty and students were reported for the teaching environment atmosphere (M=3.97), followed by teaching tools (M=4.01), and teaching assessment methods (M=4.11). Qualitative findings, derived from focus interviews with various instructional administrators, suggest that the primary concern lies in the design of teaching and learning processes. Recommendations: The study suggests that the institution should continue to improve its teaching and learning infrastructure, creating an environment conducive to both teaching and learning. Additionally, comprehensive teacher training should be implemented to equip educators with the necessary skills to adapt to the evolving educational landscape, adopt innovative teaching methods, and address the diverse needs of students, thereby enhancing the overall quality of education. Conclusion: The study recommends a student-centred approach to teaching and advocates for the appropriate integration of information technologies, such as big data and artificial intelligence (AI), to facilitate teaching management and personalized learning.