Enhancing Educational Impact: The Use of Artificial Neural Network (ANN) Modeling for Object-Based Learning in Chinese University Museums

Abstract

University museums play a pivotal role in assisting educational institutions in the teaching and research missions. But, what Chinese university museums presently face are issues of marginalization and lack of certain direction, which make these entities less effective in their tasks to improve teaching, research, and learning among students. Such restrictions act as a constraint to the educational role of Chinese university museums. Generally, this article attempts to explore the possibilities of object-based learning (OBL) in the university museums in increasing the learning experiences of students. Guided by the good practice that has been undertaken at University College London (UCL) the paper examines multi-level teaching collaboration project run by UCL Museum Group to undergraduate and postgraduate students. Using descriptive case studies, the article has indicated how OBL has successfully been implemented into the curriculum at UCL enabling deep and immersive learning among students. Through the analysis of the effective relation between university teaching and museums at UCL, this article presents important information in the research of subject teaching and conducting a research in university museums in China. With such, Chinese university museums will be able in equalizing their practice and thereby develop a better degree of educational role and provide a better contribution to the general learning activity of the student. In collection of data, this study relied on Artificial Neural Network (ANN) to approximate the significance of marginalization and absence of clear orientation on the effective integration of OBL into the curriculum and enhancement on educational operations of university museums, as well as contribution to whole learning experience of UCL. Predictions given by the network demonstrated the direct relationship between the higher grade of marginalization and the absence of the clarity of orientation with these aspects. The suitable accuracy of the network was proved to be acceptable according to experimental results using linear regression. The article comes to a conclusion that deep integration of university museums and teaching like the case of OBL approach has a great potential in enhancing the learning process of students as a whole and creation of a generalized, unified approach to different academic fields.