On the impact of industrial placements in professional master education: an empirical study

Introduction Despite the rapid expansion of China's Professional Master of Engineering (PME) programs, empirical research specifically investigating industrial placements within this context remains scarce. This study aims to address this significant gap in the literature. Methods A mixed-methods approach was employed, focusing on Mechanical Engineering PME students. Data were collected through surveys from 133 participants and analyzed using descriptive statistics and thematic analysis. Results Analyses revealed moderate to high levels of satisfaction. Communication and time management were identified as key skill gains. Students expressed strong demand for expanded internship opportunities, clearer university support, and stronger company commitment regarding mentorship, compensation, and working conditions. Hypothesis testing showed no significant differences in satisfaction across gender, year of study, program type, or career plans (all p > 0.05), though interpretation is cautioned due to limited statistical power from unbalanced sample sizes. Discussion These findings provide new insights into the understudied context of PME industrial placements in China and highlight practical directions for enhancing university-industry collaboration. The absence of demographic differences contrasts with international evidence and suggests preliminary signs of equitable benefits. Further research with larger, multi-institutional, and longitudinal samples is needed to validate and extend these conclusions.

Authors

Institutions

Publication Details

Journal
Frontiers in Education
Published
2025-09-26
DOI
https://doi.org/10.3389/feduc.2025.1682874
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the impact of industrial placements in professional master education: an empirical study

Xuhui Xia, Zhaohui Wang, Lei Wang, Zelin Zhang et al.
Frontiers in Education
Higher Education and Employability
article

On the impact of industrial placements in professional master education: an empirical study

Xuhui Xia, Zhaohui Wang, Lei Wang, Zelin Zhang, Yuyao Guo, Feng Xiang, Liming Xu
article en

Abstract

Introduction Despite the rapid expansion of China's Professional Master of Engineering (PME) programs, empirical research specifically investigating industrial placements within this context remains scarce. This study aims to address this significant gap in the literature. Methods A mixed-methods approach was employed, focusing on Mechanical Engineering PME students. Data were collected through surveys from 133 participants and analyzed using descriptive statistics and thematic analysis. Results Analyses revealed moderate to high levels of satisfaction. Communication and time management were identified as key skill gains. Students expressed strong demand for expanded internship opportunities, clearer university support, and stronger company commitment regarding mentorship, compensation, and working conditions. Hypothesis testing showed no significant differences in satisfaction across gender, year of study, program type, or career plans (all p > 0.05), though interpretation is cautioned due to limited statistical power from unbalanced sample sizes. Discussion These findings provide new insights into the understudied context of PME industrial placements in China and highlight practical directions for enhancing university-industry collaboration. The absence of demographic differences contrasts with international evidence and suggests preliminary signs of equitable benefits. Further research with larger, multi-institutional, and longitudinal samples is needed to validate and extend these conclusions.

Frontiers in EducationVol. 10
Wuhan University of Technology (CN), University of Cambridge (GB), Wuhan University of Science and Technology (CN), Hubei University of Technology (CN)
Openalex Percentile: Top 71%
Higher Education and Employability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.