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Author: search.filters.author.Petsangsri, SiriratSubject: search.filters.subject.Job Seeking

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    Integrating Artificial Intelligence in Career Counseling based on Needs Assessment of Chinese Undergraduate Students
    (2025-01-01)
    Zhou, Kangkang
    ;
    Sriwisathiyakun, Kanyarat
    ;
    Petsangsri, Sirirat
    Purpose: This research focused on the needs of undergraduate students for effective career services in higher education institutes in Nanjing, China. Furthermore, the researcher also developed an AI Career Counseling Platform by integrating AI into a student career counseling service to meet the identified needs of students. Methods: This study consisted of two phases. In the first phase, a needs assessment survey was conducted to identify specific needs, preferences, and challenges of 384 undergraduate students selected by a multistage sampling method in Nanjing City, China. In phase two, the AI Career Counseling Platform was developed and subsequently evaluated by a panel of five experts. Results: Key findings from the needs assessment reveal three areas of particular importance to undergraduate students with a strong need for job-seeking counseling (mean score: 4.75), access to an alumni network (mean score: 4.84), and Entrepreneurship information (mean score: 4.72). Based on these insights, the platform Zhidada was developed. The expert panel further evaluated the platform, categorizing it as "Most Appropriate," with an average score of 4.75 for overall quality and technical development and a content suitability score of 4.74. Implications: This research significantly contributed to advancing the AI Career Counseling Platform by integrating students into career counseling services and expert insights, thus laying a strong foundation for enhancing career services in higher education.
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    The Use of AI Counselling to Enhance Self-Esteem in the Job Seeking Process for Chinese Undergraduate Students
    (2024-01-01)
    Petsangsri, Sirirat
    ;
    Zhou, Kangkang
    ;
    Sriwisathiyakun, Kanyarat
    Purpose: This study aimed to find the effectiveness of using AI career counseling platform comprising career guidance, entrepreneurship guidance, Job-seeking guidance and alumni networks to enhance Chinese undergraduate students’ self-esteem in the job seeking process. Methods: One-group pretest-posttest experimental design was utilized in this study, with a group of 60 undergraduate students, selected by purposive sampling method to participate in experiment. Furthermore, dependent t test was used to analyze the obtained data. Results: The result showed that there was a significant difference between pretest and posttest of students’ self-esteem with P value as 0.00, the means score of satisfaction towards AI career counseling platform ranged from 4.35 to 4.58. Implications for research and practice: This study demonstrated that the AI career counseling platform is effective to enhance students’ self-esteem. In addition, the study also showed that students were very satisfied with using AI career counseling platform. Consequently, it is recommended that the AI career counselling platform be sustained and further developed to enhance undergraduate students’ self-esteem in the process of job seeking.