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Empirical Research on the Application of AI Mock Interviews in Enhancing Graduate Perceived Employability: A Case Study in Hangzhou, China

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Title: Empirical Research on the Application of AI Mock Interviews in Enhancing Graduate Perceived Employability: A Case Study in Hangzhou, China
Language: English
Authors: Wei Shi (ORCID 0009-0003-4838-5026), Dong Wang (ORCID 0009-0007-1298-7366)
Source: Education and Information Technologies. 2025 30(13):18461-18484.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 24
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Employment Interviews, Employment Potential, College Students, College Graduates, Foreign Countries, Performance, Career Planning, Self Evaluation (Individuals), Job Search Methods
Geographic Terms: China
DOI: 10.1007/s10639-025-13525-5
ISSN: 1360-2357
1573-7608
Abstract: Employability has been a key area of interest for researchers, especially as China faces increasing pressure in the labor market due to shifting supply and demand dynamics. Despite a steady increase in the number of graduates over the past five years, employment rates have declined, and the rates of slow employment, a slower state of employment, which usually manifests itself in graduates failing to find a job for a long time after graduation or choosing to delay employment, have been rising. Graduates' self-confidence in their employability is one of the most critical indicators of successful employment. Given the rapid digitization in higher education and employment preparation, artificial intelligence (AI) technologies, such as AI mock interviews, have gained increasing attention. Previous researches have shown that innovations, such as digitalization, asynchronous methods, and AI mock interviews, are beneficial for career preparation. However, empirical studies on the application of AI mock interviews in China remains limited. This study aims to investigate the impact of AI mock interviews in improving graduate perceived employability and short-term employability performance through a quasi-experimental design. A total of 42 participants were selected via convenience sampling for the experiment conducted in Hangzhou, Zhejiang, China. The findings suggest that AI mock interviews can improve graduate perceived employability and its dimensions except reconsideration of commitment, and also effectively optimize graduates' employability performance in real interview scenarios. This research provides new insights for higher education institutions focusing on improving career planning strategies and offers a practical foundation for enhancing graduates' self-assessment of their perceived employability in a more competitive labor market.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1481018
Database: ERIC
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  Data: Empirical Research on the Application of AI Mock Interviews in Enhancing Graduate Perceived Employability: A Case Study in Hangzhou, China
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  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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  Data: Employability has been a key area of interest for researchers, especially as China faces increasing pressure in the labor market due to shifting supply and demand dynamics. Despite a steady increase in the number of graduates over the past five years, employment rates have declined, and the rates of slow employment, a slower state of employment, which usually manifests itself in graduates failing to find a job for a long time after graduation or choosing to delay employment, have been rising. Graduates' self-confidence in their employability is one of the most critical indicators of successful employment. Given the rapid digitization in higher education and employment preparation, artificial intelligence (AI) technologies, such as AI mock interviews, have gained increasing attention. Previous researches have shown that innovations, such as digitalization, asynchronous methods, and AI mock interviews, are beneficial for career preparation. However, empirical studies on the application of AI mock interviews in China remains limited. This study aims to investigate the impact of AI mock interviews in improving graduate perceived employability and short-term employability performance through a quasi-experimental design. A total of 42 participants were selected via convenience sampling for the experiment conducted in Hangzhou, Zhejiang, China. The findings suggest that AI mock interviews can improve graduate perceived employability and its dimensions except reconsideration of commitment, and also effectively optimize graduates' employability performance in real interview scenarios. This research provides new insights for higher education institutions focusing on improving career planning strategies and offers a practical foundation for enhancing graduates' self-assessment of their perceived employability in a more competitive labor market.
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        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Employment Interviews
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      – SubjectFull: Performance
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      – SubjectFull: Career Planning
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      – SubjectFull: Self Evaluation (Individuals)
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      – SubjectFull: Job Search Methods
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      – SubjectFull: China
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