Evidence map›Paper›PMID 40885939›Full record

ArticleBMC medical education2025

Integrating experiential learning theory with innovation and entrepreneurship education: a qualitative study on Chinese medical students.

Yanlin Wang, Yichen Fu, Xuesen Wu, Haiyin Deng, Yize Ruan, Chuanna Liu, Changxin Chen, Yuzhan Gao, Hualiang You, Chengping Sun and 6 more

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yanlin WangThe Institute of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Yichen FuDepartment of Community Management and Service, Guangzhou City Polytechnic, Guangzhou, Guangdong Province, China.
Xuesen WuCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Haiyin DengCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Yize RuanCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Chuanna LiuCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Changxin ChenCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Yuzhan GaoCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Hualiang YouCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Chengping SunCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Yaru LiuCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Xu ZhangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Jingchun ZhangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Jia HuangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China.
Sheng DongCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China. 2012038@fjtcm.edu.cn.
Jingsong WuCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, No. 1 Qiuyang Road, Shang Street, Minhou, Fuzhou, Fujian Province, China. wjs@fjtcm.edu.cn.

Funding

Project on Educational Teaching Reform of Undergraduate Universities in Fujian Province FBJG20210029the Ministry of Education of the People's Republic of China under the Collaborative Education Program 220806038185642
6 · The paper itself

Abstract

backgroundTraditional medical education models emphasizing didactic knowledge transmission inadequately prepare healthcare professionals for complex challenges in modern medicine. Innovation and Entrepreneurship Education (IEE) offers opportunities for fostering innovative thinking, yet limited research systematically examines how medical students experience entrepreneurial learning processes. Accordingly, this study applies Experiential Learning Theory (ELT) to examine how medical students engage with IEE and develop entrepreneurial competencies within healthcare contexts.

methodsSemi-structured interviews were conducted with 35 medical students from four Chinese universities who participated in IEE programs (2019–2024). Data were analyzed using thematic analysis, following Kolb’s four-stage experiential learning cycle.

findingsMedical students’ participation in IEE maps clearly onto Kolb’s ELT cycle, yet with adaptations shaped by their clinical training. In Concrete Experience phase, students encounter technical, market, and outcome uncertainty (e.g., students described struggling with product design due to limited entrepreneurial knowledge). During Reflective Observation phase, they assess failures as learning opportunities through clinical systems thinking; one team improved innovation by repeatedly re-evaluating unmet clinical needs. Abstract Conceptualization phase involves synthesizing insights into broader models through interdisciplinary dialogue, such as redesigning product materials through interdisciplinary dialogue and expert consultation. In Active Experimentation phase, students apply conceptual models while weighing career implications; for example, some plan to develop medical devices post-graduation, while others reframe their professional identity to include entrepreneurship. DISCUSSION: The integration of ELT with IEE addresses unique epistemological challenges medical students face when transitioning between evidence-based clinical reasoning and entrepreneurial thinking. Our adapted framework provides theoretical justification for navigating these contradictions through four interconnected stages connected by transitional processes of reflect, synthesize, apply, and iterate. However, institutional constraints including limited resources, technical capabilities, and regulatory barriers significantly impact learning effectiveness.

conclusionThis study makes three theoretical contributions: extending ELT through domain-specific adaptations for medical contexts, establishing a modified framework emphasizing transitional processes, and demonstrating how institutional contexts shape experiential learning outcomes. The integration offers promising pathways for developing innovative capabilities needed in contemporary healthcare by fostering graduates equipped to address complex challenges through entrepreneurial thinking and action.

Indexed as

Education, Medical, UndergraduateEntrepreneurshipProblem-Based LearningStudents, MedicalChinaCurriculumFemaleHumansMaleQualitative ResearchExperiential Learning Theory (ELT)Innovation and Entrepreneurship Education (IEE)Medical studentsQualitative study

Identifiers

PMID40885939
PMCPMC12398147

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.