Petsangsri, Sirirat
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Preferred name
Petsangsri, Sirirat
Alternative Name
Petsangsri, S.
Main Affiliation
Email
sirirat.pe@kmitl.ac.th
5 results
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Item type:Publication, Integrating Artificial Intelligence in Career Counseling based on Needs Assessment of Chinese Undergraduate Students(2025-01-01); 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, SELF-DIRECTED BLENDED LEARNING MODEL ON EMOTIONAL INTELLIGENCE AND ACHIEVEMENT(2026-01-04); In the era of advancing globalization, developing emotional intelligence (EI) has become essential for adolescents to manage emotional stress, build social relationships, and adapt to changing environments. This study developed a Self-Directed Blended Learning (SDBL) model incorporating Intangible Cultural Heritage music to enhance students' EI and academic achievement. The research was conducted in two phases: First, the SDBL model was designed and validated, consisting of five components (setting learning targets, planning, gathering information, online and offline learning activities, and post-lesson reflection). Five education experts evaluated the model using a 5-point Likert scale, yielding an average score of 4.84, confirming its pedagogical quality. Second, the teaching experiment was conducted at Taiyuan University of Science and Technology. A total of 112 non-music undergraduate students, who voluntarily enrolled in the Shanxi Intangible Cultural Heritage Music Appreciation course, participated in the study. The students were randomly divided into an experimental group and a control group, with 56 students in each. After the intervention, both groups completed post-tests to measure their emotional intelligence and academic achievement. Emotional intelligence was assessed using a revised 25-item version of the Schutte Self-Report Emotional Intelligence Test (SSEIT). Five experts evaluated the test's content validity using the Item-Objective Congruence (IOC) method, with scores ranging from 0.6 to 1. Academic achievement was measured using test items from a nationally recognized Intangible Cultural Heritage (ICH) database maintained by the Chinese government. Five experts reviewed these items, and their IOC scores ranged from 0.8 to 1.0. The collected data were analyzed using t-tests and MANOVA. The results showed that the experimental group performed significantly better than the control group in both emotional intelligence and academic achievement. Additionally, a positive correlation was found between the two variables. The findings demonstrate that SDBL model incorporating Intangible Cultural Heritage music can enhance EI and academic achievement while simultaneously developing cognitive and emotional competencies, offering an innovative solution for preparing students to meet future challenges. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Integrating generative AI with the flipped classroom teaching model: enhancing emotional well-being and student achievement(2026-01-01); Education in the modern society is undergoing rapid transformation as helping students perform better academically and feel emotionally better has become increasingly important. One way to support this is by using Generative AI (GenAI) in combination with the flipped classroom approach. This study focused on creating and testing a new teaching model called the Generative AI-Integrated Flipped Classroom (GenAI-FC) designed for mental health courses. The research was done in two main parts. In the first part, the GenAI-FC model was developed and its structure was adjusted based on feedback from experts. In the second part, the model was used with students to see how it affected their learning and emotional well-being. The results were promising as five experts reviewed the model and gave it a high-quality score of 4.68 out of 5, showing that it was strong and useful for teaching. Then, the model was tested with 95 first-year university students. After using the model, students showed clear improvement in their exam scores and emotional well-being, based on a standard questionnaire. Both scores were significantly higher after the course compared to before as the results show that the GenAI-FC model can make a real difference by helping students to learn better and also feel more supported. This suggests that using Generative AI in a flipped classroom could be a helpful way to improve education and support students’ mental health at the same time. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Use of AI Counselling to Enhance Self-Esteem in the Job Seeking Process for Chinese Undergraduate Students(2024-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Mobile Blended Reading Circle Model to Improve Primary School Student English Reading Ability and Attitude(2023-01-01); This research investigated a mobile blended reading circle model to improve primary school students' English reading ability and attitude. The study focused on the objectives of exploring the opinions of teachers and students on English reading teaching to develop a model for primary school students to enhance their English reading ability and attitude. A mixed-methods approach using both qualitative and quantitative methodology was adopted. Semi-structured interview schedules were used to collect qualitative data from 4 sixth-grade primary school teachers, while a student opinion questionnaire was designed to investigate 108 sixth-grade primary school students drawn from the population of 149 sixth-grade primary students about English reading teaching. The qualitative data was analyzed through narratives, while the quantitative data was analyzed through descriptive analysis. The study showed that the MBRC Model is a promising new teaching model. They affirmed its feasibility in primary schools' English reading teaching.