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    Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand
    (2025-04-01)
    Treearpornwong, Asamaporn
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    This study examines the psychological well-being (PWB) of lower secondary school students in Bangkok’s Secondary Educational Service Area Offices (SESAO) 1 and 2, using data mining techniques to analyze key influencing factors and develop a culturally adapted PWB questionnaire. The research framework is based on six components: autonomy, environmental mastery, personal growth, positive relationships, life purpose, and self-acceptance. Data were collected from 2543 students in the 2023 academic year and analyzed using the Waikato Environment for Knowledge Analysis (WEKA) program and the JRip rule-based classification model. Results indicate that personal growth is the most predictive in the classification performance of PWB, followed by positive relationships and life purpose. A newly developed PWB questionnaire was tested for reliability, with the Supplied Test Set (80:20) method yielding strong performance metrics, including accuracy (90.18%), precision (69.00%), recall (90.90%), and F-measure (78.40%). This study demonstrates data mining’s effectiveness in identifying factors influencing adolescent PWB within the Thai context. The findings provide educators and policymakers with insights for fostering student well-being and contribute to research by offering a validated, culturally relevant assessment tool.
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    Enhancing Teaching and Supervisory Staff’s Creative Problem-Solving Skills
    This research analyzed creative problem-solving (CPS) components and examined the perceptions of Thai educational personnel regarding their CPS abilities. The sample consisted of 534 primary school teachers and educational supervisors during the 2024 academic year, selected through multistage random sampling. Data were collected using a questionnaire assessing CPS skills, which were then analyzed using means (M), standard deviations (SD), and second-order confirmatory factor analysis (CFA). The research revealed that the second-order CFA model for CPS among educational personnel (teachers and supervisors) consists of five key components. Ranked from highest to lowest, these were educators' perceptions of their CPS abilities to solve problems (SOL) (M = 4.23, SD = 0.54), ability to identify problems (IDE) (M = 4.17, SD = 0.57), ability to create knowledge (CRE) (M = 4.17, SD = 0.59), ability to discover concepts (INS) (M = 4.12, SD = 0.58), and ability to discover methods to solve problems (MET) (M = 4.11, SD = 0.58). The model strongly aligned with empirical data, indicating that all three models exhibited positive component weights (β) that were statistically significant at the .01 level. This finding underscores the strength of the CPS framework for educational personnel. These findings provide compelling evidence for the effectiveness of the proposed model in assessing and enhancing CPS skills among educational professionals, contributing valuable insights to both practice and future research in this field. This study fills a gap in the literature by providing empirical evidence on the CPS capabilities of educational personnel.
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    Promoting Undergraduate Pre-Service Teacher Computational Thinking
    (2023-02-01) ;
    Pipitgool, Sawitree
    The study aimed to evaluate the results of a computational thinking (CompThink) and learning management model using a flipped classroom (FC), combined with critical thinking problem-solving (CTPS) activities. The sample consisted of 57 thirdyear Thai computer studies (CS) pre-service teachers (PST) (29 = control group, 28 = experimental group). The mean scores of CompThink and Academic Achievement were analysed using a One-way MANOVA. Post-course testing revealed that learning achievement and CompThink were higher than students studying using traditional methods.
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    An analysis of digital literacy skills among Thai university seniors
    (2016-01-01)
    Phuapan, Piatip
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    Digital literacy and the associated skills are becoming the basic and essential skill set of any employer that wishes to survive in a highly competitive world.Given the global importance of these skills for many sectors including education, medicine, information technology, tourism, etc., the researchers sought to determine which digital literacy skills were most important in using digital technology, communications tools, and/or networks to access, manage, integrate, evaluate, create and communicate information in order to function in a knowledge society.From a multistage random sampling survey of 400 second semester university seniors finishing their degrees in 2014 at 9 Thai public and private universities, it was determined that the ability to evaluate was the most important skill indicator in the development of digital literacy. Analysis was conducted by use of LISREL 8.72.
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    Educational human resource management strategy SWOT analysis for Thailand's OBEC
    (2020-01-01)
    Suksup, Charoen
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    Sirijarupat, Prasittisak
    The sample group consisted of 566 education and human resource management (HRM) professionals in one of 175 Educational Service Areas (ESA) under Thailand's Office of the Basic Education Commission (OBEC). A questionnaire concerning the HRM strategy was used for the SWOT analysis. The findings showed that the strengths (s) from the internal environment analysis included clear measures on manpower planning, good-governance recruitment and placement. However, the analysis also showed that weaknesses (w) included the establishment of an unlawful commission (OTEPC), difficulty regarding appointments due to various staff positions, and delayed disciplinary acts, investigations, and follow-up. Opportunities (O) included four external factors. These were having a redeployment policy, good-governance management, staff placement precedence determined by a rewards system and having duty awareness. The threats (T) comprised of Thailand's national policy which is constantly changing and affects educational and administration manpower planning, rules and regulations as well as the recruitment of qualified persons for legal work.
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    Enhancing ICT Literacy and Achievement: A TPACK-Based Blended Learning Model for Thai Business Administration Students
    (2024-05-01)
    Nantha, Cherisa
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    Siripongdee, Kobchai
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    The COVID-19 pandemic has heightened the need for 21st century skills, particularly computer and ICT literacy (CICT) in Thailand. This study aimed to develop a TPACK (Technological Pedagogical and Content Knowledge)-based blended learning model (BLM) to enhance CICT skills and academic performance among 179 Business Administration (BA) undergraduates in the 2022 academic year Computer and Information Applications course. Research instruments were designed and evaluated by experts. Over 18 weeks, qualitative and quantitative data were collected, with the qualitative data undergoing content analysis. Descriptive statistics were used to analyze quantitative data, comparing pretests, post-tests, and 2-week retests using a repeated measure ANOVA. One-sample t-tests were used to assess the model’s impact on CICT skills. The results showed a significant score improvement between tests, with the highest mean being seen in the 2-week retest. The BA-TPACK model significantly enhanced CICT skills, exceeding 80%. The students expressed high satisfaction, with the BA-TPACK model effectively enhancing CICT skills and academic achievement, recommending its integration into future computer and information courses. This study’s contribution lies in addressing the pressing need for CICT skills in the ‘new normal’. By developing and implementing a BLM grounded in the TPACK framework, this study not only enhances students’ CICT proficiency but also fills a crucial gap in the literature regarding effective pedagogical approaches to foster 21st century skills.
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    A needs assessment evaluation of information technology student mobile website design skills
    (2024-01-01)
    Wuttikamonchai, Oraboot
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    In this study, we present a comprehensive needs assessment (NA) aimed at identifying key factors that contribute to enhancing instructor skills in mobile website design (MWDS). In the realm of professional development, the significance of NAs for user experience (UX) designers has gained attention, with scholars emphasizing the importance of competency modeling to elucidate the intricate knowledge, skills, and abilities inherent in UX design. This perspective aligns with the essential nature of learning NAs for continuous professional development. Therefore, the objective of our investigation was to evaluate the current state of instructor MWDS and their real-world user experience through a sample of 41 individuals, including information technology (IT) instructors and IT entrepreneurs. Employing a simple random sampling method in August 2023, our study utilized descriptive statistics to analyze the data, revealing a moderate proficiency level (mean [M]=3.40). Interestingly, the highest rankings in our findings were attributed to planning mobile website design from a user experience perspective (M=3.81) and developing or creating a website for mobile devices user experience (M=3.81). These skills demonstrated consistent high perceived importance (M=4.78). Moreover, specific aspects of MWDS stood out in terms of significance, with developing or creating mobile websites’ user experience holding the top priority (M=4.87), followed closely by designing mobile websites’ user experience (M=4.79) and developing or prototyping mobile websites’ user experience (M=4.77). Our findings underscore the urgent need to prioritize the promotion of MWDS, particularly those focused on user experience. Using priority needs index modified (PNImodified) method, we identified that user research holds the highest priority (PNImodified=0.56), followed closely by mobile website design user experience (PNImodified=0.41), and defining website content for mobile devices user experience (PNImodified=0.40). This information provides valuable insights for educational institutions and industry stakeholders, guiding efforts to enhance instructor skills and align curricula with the evolving demands of mobile web design. In summary, our study sheds light on the current state of instructor MWDS, emphasizing the importance of user experience-related competencies. The identified priority needs offer valuable guidance for educational institutions and industry stakeholders, facilitating efforts to enhance instructor skills and align curricula with the dynamic requirements of mobile web design. Notably, our results align with the hypothesis testing, where paired sample t-test statistics found that both overall and individual aspects indicated a statistically significant preference for desired over actual outcomes at the .01 level.
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    Strategies for using the satellite distance education system in Thailand that affect student quality of marginal schools in the lower north region
    (2019-01-01)
    Petsuwan, Sakchai
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    Pupat, Phadungchai
    Few remote schools in Thailand use distance education systems. The strategy, namely, basic operation, administrative action, and teacher actions, has established. Analysis of the strategy that affects the quality of students is applying linear multiple regression analysis shows the basic operation strategies able to predict the student's quality in the test by 36.90 percent and necessary competencies of learners such as a skill in the 21st century 57.90 percent-the remote schools in other countries with a similar Thailand context able to adapt the strategy.
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    Appropriate Thai high school student internet behaviour: A hierarchical linear model analysis
    (2017-01-01)
    Leekitchwatana, Punnee
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    The research used a hierarchical linear model to develop a model to study the variables of appropriate Internet use of 2,400 Thai high school students from 48 high schools. Furthermore, the groups were divided into one group of 1,200 students in science related programs, while the second group of 1,200 students were in a non-science related program. The data collection instrument was a reliability questionnaire which was determined to range between 0.75-0.97. Data were analysed using statistical averages, standard deviation, and analysis of hierarchical linear models (HLM). The research found that Thai high school students have appropriate Internet use behaviour at a very appropriate level, while the HLM of appropriate Internet use behaviour of students contained two predictive variables at both the student level and school level. These included the four student predictive variables of ability, characteristic, family, and student grade point average (GPA). At the school level in the HLM, there were two predictor variables including friends and schools, which had a direct influence and an indirect influence, respectively. There were also six capacity variables having both positive influence and statistical significance.
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    Structural equation model of the adoption of ozone generator technology by thai industries
    (2015-01-01)
    Potivejkul, Siriwat
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    Ozone is second only to fluorine as the most powerful oxidant in the world. It's the most powerful, natural air and water sanitizer readily available and can break down chemicals into their basic naturally-occurring component parts. The objectives of this study were therefore, to test a model of technology adoption used in the ozone generator industry in Thailand. Self-reporting questionnaires were retrieved from 500 production and engineering managers in both central and eastern Thailand enterprises from a total of 3,000 distributed. The research framework integrates Corporate Vision, Awareness, Interest, Evaluation and Trial to hypothesize a theoretical model to explain and predict adoption of ozone generator technology. All latent variables in the model have a positive influence on the adoption of Thai ozone generator technology. The model furthermore consisted of 18 observed variables with a variable latency of 6 variables which had a positive influence on the adoption of ozone generator technology. The final structural model was verified to achieve a good fit with the empirical data at 65% because of the decision to use new products in ozone generator technology. Using LISREL 8.72 Structural Equation Modeling (SEM), the results showed that that the variables that influence technology use the most are Adoption, followed by Interest and Evaluation, followed by Trial, Awareness and Corporate Vision having the effects of 0.73, 0.53, 0.42, 0.31 and 0.23, respectively.