Sumettikoon, Piyapong

Preferred name

Main Affiliation

School of Industrial Education and Technology

piyapong.su@kmitl.ac.th

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INTELLIGENT RECOGNITION OF PHYSICAL EDUCATION CURRICULUM RESOURCES BASED ON DEEP NEURAL NETWORK AND THE GAME MODEL STUDY
(2023-01-01)
Yang, Xuelin
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Sumettikoon, Piyapong
;
Wu, Xiang
Nowadays, withmore and more physical education curriculum resources, schools or teachers have more and more choices for physical education curriculum resources. However, because some teachers need a deep understanding of curriculum training programs and standards, the selected curriculum resources cannot promote their curriculum development. This paper puts forward the researchon the intelligent recognition and gamemodelof physical education curriculum resources based on neural networks. The specific research conclusions are as follows: The intelligent consciousness and movement model of physical education curriculum resources based entirely on the technical knowledge of the BP neural community and deepneuralcommunityare proposed. WiththehelpofMATLAB7.1 neuralnetwork toolbox to implement the specificrecommendation system, a three-layerBPnetwork is established, and the NEWFF function is used to create the neural network. Useful resources in each direction generate a directionrecognition vector according to the route guidancestandard, calculate the course recommendation degree according to selection statistics and scoring, and input the courseresourcerecognitionvector and recommendationdegreeinto theneuralnetwork. When the number of hidden layer nodes is 10, and the learning training algorithm selects the L-M optimization algorithm, the error between the actual output and the expected output of the network meets the requirements. It shows that the accuracy of the recommendation model meets the requirements; that is, the relationship between the recognition vector of physical education course resources and the recommendation degree of course resources reflected by the neural network basically reflects the functional relationship between them and the model can be used to make corresponding recommendations.
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Gratitude Problems of College Students in Guizhou Province, The People’s Republic of China
(2026-01-01)
Ma, Zhishui
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Sumettikoon, Piyapong
Based on Emmons’ three-dimensional theory of gratitude (cognition, emotion, behavior), this study focuses on eight core modules: positive emotions, forgiveness, humility, prosocial behavior, psychological well-Being, guilt, happiness, and life satisfaction. An empirical analysis was conducted on 452 college students in Guizhou Province using a self-developed three-dimensional scale to explore the specific manifestations and interactions of their gratitude cognition, emotion, and behavior. The results show a consistent pattern across all eight modules: scores in the cognitive and emotional dimensions are significantly higher than the overall average of their respective modules (e.g., in the positive emotions module, cognition = 3.36, emotion = 3.38, both higher than the module average of 3.09; in the forgiveness module, cognition = 3.07, emotion = 3.09, both higher than the module average of 2.81), indicating that students have clear cognitive recognition and strong emotional resonance with "the association between gratitude and the concepts of each module." However, scores in the behavioral dimension are generally lower than the overall average of their respective modules (e.g., in the positive emotions module, behavioral strategy score = 2.94, lower than the module average of 3.09; in the forgiveness module, behavioral strategy score = 2.68, lower than the module average of 2.81), reflecting insufficient practice of specific gratitude-related behaviors. This reveals the core issue in gratitude education for college students in Guizhou: a significant gap between cognitive-emotional recognition and behavioral practice. By systematically analyzing the current situation of gratitude education among college students in Guizhou, this study fills the gap in localized research on this group. Based on the data differences across the eight modules, it provides a precise direction for optimizing college gratitude education, which is of great practical significance for improving the college gratitude education system and promoting the transformation from cognition and emotion to behavior. A limitation is that the sample is only from Guizhou Province; future research could expand the sample scope or conduct follow-up studies to enhance the generalizability of the conclusions, thereby providing references for strengthening behavioral transformation in gratitude education in more regions.
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Influences of International Exchange Programs and Research Engagement on Faculty Development in Higher Education Institutions
(2024-01-01)
Wei, Lina
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Sumettikoon, Piyapong
The study examines the significant effects of their satisfaction with international exchange programs and their participation in international research activities on faculty members’ professional development within higher education institutions. The main objective of this study is to find out the considerable correlation between faculty members’ professional advancement and their satisfaction with international exchange programs. Results indicate that faculty development is highly influenced by satisfaction and participation in international research activities. In this research paper, survey data from various departments across multiple Chinese universities is quantitatively analyzed. Purposive sampling was utilized in this starfield to gather the intended respondents. The findings highlight the significance of exchange program quality and content and the benefits of active engagement in global research. The study also focuses on how faculty members’ global experiences enhance their innovative teaching practices, research output, and professional development.
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Enhancing Employability among Undergraduate Students in Private Colleges in Guangxi: A Comprehensive Model Approach
(2024-01-01)
Juan, Zhao
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Sumettikoon, Piyapong
Objective: This study explores the improvement of employability among undergraduate students in private colleges in Guangxi. It presents a comprehensive model that combines practical and innovative skills, professional knowledge, social adaptability, workplace self-confidence, and lifelong learning. Methods: The study utilized mixed-methods research to analyze the data collected from questionnaires and interviews. Exploratory and confirmatory factor analysis were employed to validate the employability enhancement model. Results: The research uncovers the crucial importance of practical and innovative abilities and emphasizes notable disparities in professional knowledge and skills based on gender. The model showcased its strength across a range of fit indices, indicating its potential to inform educational practices and policies that aim to enhance graduate employability. Implication: This research adds to the discussion on improving employability, providing practical insights for educators, policymakers, and students in Guangxi and similar settings. Conclusion: The study highlights the importance of taking a comprehensive approach to improving employability, focusing on the incorporation of various skills and competencies to adequately prepare students for the changing job market.
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Structural equation modeling (SEM) analysis: an innovative female entrepreneurship education ecosystem in China
(2023-12-04)
Feng, Lei
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Sumettikoon, Piyapong
Purpose: This study aims to add a gender perspective to the current ecosystem of entrepreneurship education whereby an innovative model of the female entrepreneurship education ecosystem (FEEE) consisting of five stakeholders (university, government, society, enterprise and the international community) is examined. Design/methodology/approach: The study conducted an online questionnaire among 505 respondents from two universities and one higher vocational college in China. Confirmatory factor analysis (CFA) was used to test the correlation between factors and structural equation modeling (SEM) was applied to test the five hypotheses proposed in the study. Findings: The results indicated that the five stakeholders (the university, government, society, enterprise and international community) positively affect FEEE. The study emphasizes the urgent demand to consider gender perspectives in the ecosystem of entrepreneurship education and provides plausible ways to conduct female-targeted education with the joint efforts of different stakeholders. Practical implications: The study aims to increase the number of future female entrepreneurs, enhance the future skills of female students in the digital era and ultimately advance humankind. The study emphasizes the urgent demand to consider gender-perspective in the entrepreneurship education ecosystem and provides plausible ways to conduct female-targeted education with the joint efforts of different stakeholders. Originality/value: This paper sheds light on evaluating FEEE through five stakeholders' dimensions, which explores the solutions to the current female entrepreneurship education (FEE) issues.
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Creation of an Employability Skills of Students Enhancement Model for Music School Students in Shanxi Province
(2024-01-01)
Xin, Jianfang
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Viriyavejakul, Chantana
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Sumettikoon, Piyapong
Purpose: This study examines the development of employability skills among music school students in Shanxi Province, China, with the objective of elucidating the multifaceted dimensions essential for success within regional music education. Anchored in adult learning and experiential education theories, the research investigates the interplay between technical proficiency, creativity, communication, adaptability, and business acumen. Utilizing a qualitative methodology, this study engages with music students, educators, and industry professionals to unravel the nuances of skills development. Method: The study employs a qualitative design, utilizing semi-structured interviews to capture the lived experiences and perspectives of key stakeholders within Shanxi's music education ecosystem. The sample consists of music school students, educators, and industry professionals, selected through purposive sampling. Data collection involves conducting in-depth interviews, with thematic analysis applied to distil key patterns and insights. Findings: Preliminary findings underscore the significance of technical proficiency, creativity, communication, and business acumen as essential components of employability skills among students. The study reveals distinct nuances within the Shanxi music industry, highlighting the necessity for a tailored model that integrates technical training with business education and real-world experiences. Originality/Significance: This research advances the existing literature by addressing the gap in tailored models for music school students in Shanxi Province. Its originality stems from its focus on the contextualized development of employability skills, providing insights into the specific demands of the regional music industry. The findings are expected to inform curriculum design, industry collaborations, and policy initiatives, promoting a paradigm shift in music education towards a holistic and region-specific approach.
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The Use of Artificial Intelligence to Enhance Teaching Effectiveness in Vocational Education
(2022-01-01)
Meng, Wanrong
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Sumettikoon, Piyapong
The development of information technology, including artificial intelligence, big data, cloud platforms, and intelligent terminals, have given the reform and development of vocational education teaching new impetus against the backdrop of "Internet + education" and the deep integration of education teaching and emerging technologies have reached a new level, promoting the continuous updating and upgrading of education. The ability to teach is a critical guarantee in the current environment for advancing the reform of teaching in higher vocational education, enhancing the standard of vocational education and talent development, and carrying out the duty of developing applied talents for social and economic development. Accelerating the development of vocational education, encouraging higher vocational teachers to continuously update their education and teaching concepts, reshaping the role of teachers in the new era, and developing the practical ability of information-based teaching in building curriculum resources are all issues that require urgent attention and solutions in the education and teaching reform.
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Enhancing Undergraduate Employability and Career Adaptability through Career Planning Education: The Mediating Role of Career Decision-Making Self-Efficacy
(2024-01-01)
Yao, Xinmeng
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Tuntinakhongul, Ampapan
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Sumettikoon, Piyapong
Background and Aim: Career decision-making self-efficacy serves as a mediating factor in the association between career planning education and the employability and career adaptability of undergraduate students enrolled in universities in China. Methods: Employing both quantitative and qualitative methodologies, this study incorporates a survey of 500 students from various disciplines alongside in-depth, one-to-one interviews with 20 students. Analysis of the quantitative data suggests that career planning education enhances students’ self-efficacy in career decision-making, thereby improving their employability and adaptability to the workforce. These findings are further supported by qualitative data, as post hoc interviews indicate that students’ self-efficacy is positively influenced by practical and experiential components of career planning education, such as internships and workshops, which prepare them for the dynamic nature of the labour market. Results: The research findings highlight challenges such as the limited availability of comprehensive career guidance resources and the misalignment between educational content and vocational requirements, both of which can impede the effectiveness of career development initiatives. These results indicate the necessity of integrating practical experiences and robust support systems into career planning education within academic institutions. Additionally, they underscore the need for academic programmes to be more closely aligned with labour market demands. Conclusion: The study presents valuable implications for educators, policymakers, and career advisors committed to equipping undergraduate students for successful career pathways.
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Empowering Principals for Lifelong Learning: Self-directed Approaches in Digitalized Information Systems
(2024-01-01)
Zhou, Yuan
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Sumettikoon, Piyapong
The study delves into the dynamic interplay between digitalized information systems, competencies, self-directed learning, and lifelong learning in the context of the contemporary educational landscape. With the integration of Artificial Intelligence (AI) and evolving competencies becoming integral to education, understanding their combined impact on individuals' attitudes toward lifelong learning is paramount. Past research has explored these elements individually, but a comprehensive examination of their interconnected relationships remains scarce. The primary purpose is to investigate how AI integration, competencies, and self-directed learning collectively influence lifelong learning attitudes. The study aims to uncover the intricate dynamics by exploring the impact of digitalized information systems on competencies, the mediating role of self-directed learning, and the overall implications for lifelong learning behaviors. Utilizing a quantitative approach, the study focuses on teachers in China, distributing 500 questionnaires and receiving 340 responses. The research design incorporates a cross-sectional survey methodology, employing a structured questionnaire to gather data on AI integration, competencies, self-directed learning, and lifelong learning attitudes. Preliminary findings reveal significant correlations between AI integration, competencies, self-directed learning, and lifelong learning attitudes. The study observes the mediating role of self-directed learning, highlighting its importance in shaping the relationship between digitalized information systems, competencies, and the inclination toward lifelong learning. This research contributes to the theoretical understanding of the complex relationships in contemporary education. Its originality lies in integrating AI integration, competencies, and self-directed learning into a comprehensive framework.
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Psychotherapy and first-year university psychology student perspectives on personal therapy: An analytical interpretation
(2025-01-01)
Zhou, Ran
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Sumettikoon, Piyapong
Psychotherapy plays a pivotal role in addressing the multifaceted challenges of mental health by offering diverse approaches to understanding and managing psychological disturbances. This research programme seeks to explore the perspectives, insights, and experiences of first-year psychology students regarding personal therapy. By focusing on this specific group, the study aims to investigate their understanding of psychotherapy and its critical contribution to fostering the psychological well-being of university students. Through qualitative analysis, the research identifies themes related to the importance of personal therapy in supporting the professional development of mental health practitioners in training. The findings not only illuminate the psychotherapeutic culture among university students but also carry significant implications for enhancing supportive frameworks and psychotherapeutic interventions within university settings, thereby improving student welfare and academic performance.
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Sumettikoon, Piyapong

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