THE CURRENT SITUATION AND COLLABORATIVE OPTIMIZATION PATH OF COLLEGE COUNSELORS’ WORK—AN EMPIRICAL ANALYSIS BASED ON J SCHOOL OF S UNIVERSITY
Main Article Content
Abstract
Purpose: This study examined the current status and main gaps in the nine dimensions of counselors’ work at College J of University S in China, with a particular focus on academic guidance, psychological support, and research capacity. It aimed to clarify improvement priorities and to provide evidence for developing a college-level, coordinated optimization strategy.
Study Design/Methodology/Approach: A questionnaire-based quantitative approach was used, supplemented by qualitative interpretation derived from scale results. In the quantitative phase, a nine-dimensional satisfaction scale was created based on the Occupational Competency Standards for University Counselors (Trial), and data from 464 student respondents in College J were analyzed using descriptive statistics, reliability and validity tests, and Pearson correlation analysis. During the qualitative phase, low-scoring items were further analyzed to identify the causes of weaknesses in academic guidance, psychological support, and research competence.
Findings: The results revealed a pattern of “strong traditional strengths”. Higher scores were observed in ideological and political education, Party/League and class development, and crisis response, while academic guidance, mental health support, and theoretical/practical research fell behind. Mechanism-based interpretation indicates that heavy administrative workloads, inadequate professional support, and weak training and incentive systems are the main contributing factors. The study suggests an improvement pathway featuring “capacity strengthening plus coordinated linkage”, prioritizing academic support, psychological early-warning mechanisms, and research empowerment.
Originality/Value: By conducting a micro-level empirical study within a single college, establishing a nine-module evaluation framework, and using descriptive statistics and Pearson correlations, the study reveals linkage mechanisms across work modules. It provides evidence to support accurate diagnosis, resource allocation, and the coordinated optimization of counselors’ work in engineering-oriented colleges.
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