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Enhancing Teaching and Supervisory Staff’s Creative Problem-Solving Skills
(2025-05-20)
Charoentham, Mai
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Kantathanawat, Thiyaporn
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Pimdee, Paitoon
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Apisuksakul, Kwantisara
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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Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand
(2025-04-01)
Treearpornwong, Asamaporn
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Kantathanawat, Thiyaporn
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Charoentham, Mai
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Pimdee, Paitoon
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Sukkamart, Aukkapong
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 digital literacy in Thai higher education: A strategic imperative
(2025-01-01)
Noppakhunwong, Thaksina
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Kantathanawat, Thiyaporn
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Pimdee, Paitoon
This study aims to enhance digital literacy in Thai higher education through the development of an integrated framework—3CLPC (Cloud-based, Collaborative, and Positive Coaching). A mixed-methods approach was employed, combining surveys and interviews with students and faculty from three public universities. Quantitative data were analyzed using descriptive statistics, while qualitative input informed iterative model refinement. The results indicated improvements in students’ digital competencies, especially in collaboration, content creation, and problem-solving. Participants also reported increased confidence and engagement when using cloud-based tools and receiving supportive coaching. The 3CLPC framework effectively addresses the divide between access to technology and pedagogical effectiveness, particularly in under-resourced institutions. The model is scalable and adaptable to other Southeast Asian contexts. Practical implications include integration into teacher training programs and digital curriculum policies. The study contributes to bridging the gap between policy and practice in digital education, emphasizing equity and learner-centered design.
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Addressing the Priority Needs of Educators in Delivering Sexuality Education to High School Students with Intellectual Disabilities
(2025-01-01)
Kantathanawat, Thiyaporn
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Tungkunanan, Pariyaporn
The study assessed sexuality health education management for secondary school students with intellectual disabilities in Thai specialized schools. It utilized a mixed-methods approach including a quantitative study via questionnaires and a qualitative analysis through in-depth interviews with teachers and experts. From use of the Priority Needs Index Modified (PNI<inf>Modified</inf>) identification of the highest priority requirements showed that media characteristics understanding, media usage readiness, and content substance were most essential. Effective learning management requires easy-to-use media with stimulating visuals and understandable content. Teachers need expertise in media, teaching techniques, and technology. Results provide insights tailored for sexuality health education for students with intellectual disabilities.
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Integrating Mastery Adaptive and Problem-Solving (MAPS) Digital Technology Skills into a Thai Community College Student Learning Model
(2025-01-01)
Kantathanawat, Thiyaporn
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Ussarn, Anyamanee
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Charoentham, Mai
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Pimdee, Paitoon
Background/purpose. The increasing integration of digital technology in education underscores the need for instructional models that support personalized, skill-based, and problem-solving-focused learning. While traditional pedagogies often fail to address these needs comprehensively, this study proposes that the Mastery Adaptive Problem-Solving (MAPS) Model offers an innovative solution for enhancing digital technology skills (DTS) and academic achievement (AA) among Thai community college students. Materials/methods. The MAPS Model incorporates mastery learning, micro-learning, adaptive learning, and problem-based learning (PBL) into a six-step framework. Expert validation of the model was conducted using the Connoisseurship method via focus group discussions. A quasi-experimental design was employed to evaluate the model's implementation with 19 second-year Thai community college students. Student DTS and AA were measured using validated tools with reliability indices exceeding 0.80. Retention of skills and knowledge was assessed 14 days post-instruction. Results. Experts rated the MAPS Model highly for utility, feasibility, appropriateness, and accuracy. After implementation, students' DTS significantly exceeded the set threshold (70%), with statistical significance at the .01 level. Additionally, students demonstrated significantly higher AA post-instruction than pre-instruction levels, at the .01 significance level. Retention analysis revealed no significant decline in DTS or AA 14 days after program completion. Conclusion. The MAPS Model effectively integrates innovative pedagogical strategies to enhance DTS and AA in community college settings. Its structured, adaptable framework addresses diverse learner needs, ensuring immediate and sustained educational benefits.
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Enhancing Digital-Age Metacognition: A Framework for Cognitive Innovation in Thai Secondary Education
(2025-01-01)
Kantathanawat, Thiyaporn
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Thongsomnuek, Natarika
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Charoentham, Mai
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Pimdee, Paitoon
Background/purpose. The increasing prevalence of digital tools in education necessitates models that enhance students' metacognitive skills. Despite this need, limited research exists on structured pedagogical approaches to foster metacognition within digital learning contexts. This study aimed to develop and evaluate the Cognitive Innovation Model to Enhance Metacognitive Skills in the Digital Age (CIMEMSDA) for Thai secondary students, addressing this gap in contemporary education. Materials/methods. A quasi-experimental design was employed to assess the efficacy of CIMEMSDA, which follows a four-stage structured approach: (I) introduction and recalling, (ii) reviewing and planning, (iii) investigating and applying knowledge, and (iv) summary and evaluation. Rooted in constructivist and metacognitive principles, the model was validated by nine experts for utility, feasibility, suitability, and accuracy. The study involved 80 Grade 8 students in 2024, divided equally into experimental and traditional groups. The experimental group used CIMEMSDA with modules on computational thinking and Python programming, while the traditional group received standard instruction. Results. The experimental group demonstrated significantly higher metacognitive skills and academic performance than the traditional group. The MAPS Model significantly improved students' digital technology competencies, with post-learning DTS scores exceeding the benchmark by 8.07%. This demonstrates the model's ability to surpass foundational expectations and foster advanced technological skills. Students maintained their academic achievement and digital technology skills for 14 days post-learning without significant decline, illustrating the model's effectiveness in ensuring durable and long-lasting learning outcomes. Conclusion. CIMEMSDA shows strong potential as an educational tool for enhancing metacognitive skills in the digital age. Its structured, stage-based approach aligns well with contemporary educational practices, addressing critical gaps and offering a feasible framework for integrating metacognitive skill development into secondary education.
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Assessing creative problem-solving competencies in primary school educators: A confirmatory factor analysis approach
(2025-01-01)
Charoentham, Mai
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Kantathanawat, Thiyaporn
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Pimdee, Paitoon
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Teerasoonthontai, Krittameth
This study aimed to examine and analyze the second-order confirmatory factor structure of creative problem-solving for primary school teachers. The sample consisted of 150 teachers and educational supervisors from the Office of the Basic Education Commission, selected through multi-stage random sampling. The data collection tool was a creative problem-solving questionnaire evaluated for item-objective congruence (IOC) values between 0.60 and 1.00, with discriminant power ranging from 0.68 to 0.88 and reliability coefficients between 0.77 and 0.92. Data were analyzed using means, standard deviations, and second-order confirmatory factor analysis (CFA). The results revealed that teachers and educational supervisors had a high level of agreement on creative problem-solving in general and for each component. The second-order CFA creative problem-solving model demonstrated a good fit with the empirical data and consisted of five components and 15 indicators. The components, ranked by weight from highest to lowest, were Truth Discovery (TD), reflecting the emphasis teachers place on understanding the nature and context of problems. This was followed by Knowledge Creation (KC), which highlights the importance of applying knowledge to real-world challenges, and Problem Identification (PI). Idea Generation (IG) and Solution Discovery (SD) received slightly lower scores, though still within the high range. This suggests that while teachers value these components, they may require further development in fostering innovation and evaluating solutions critically.
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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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Siripongdee, Surapong
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Pimdee, Paitoon
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Kantathanawat, Thiyaporn
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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Enhancing Thai student-teacher problem-solving skills and academic achievement through a blended problem-based learning approach in online flipped classrooms
(2024-04-15)
Pimdee, Paitoon
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Sukkamart, Aukkapong
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Nantha, Cherisa
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Kantathanawat, Thiyaporn
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Leekitchwatana, Punnee
The study aimed to develop a learning model that enhances Thai student-teacher problem-solving skills (PSS) and academic achievement (AA) through a blended problem-based learning (PBL) approach in online flipped classrooms. Phase 1 consisted of the design of the Flipped PARSER (problem-attempt-research-solutions-evaluation-reflect) Model (FPM) through the study of documentation and research. Phase 2 involved using nine experts to assist with the model's development and evaluation using in-depth interviews and content analysis. Phase 3 involved the application and use of the FPM by 30 student-teachers, from which their AA, PSS, and satisfaction were evaluated against the control group of 31 participants. The results from the nine experts' input on the FPM design were significant. Instructor activities included selecting content, media, materials, and their design and development. Other components included learning activities, tools, lesson delivery, and evaluation. Also, PBL methods were again confirmed as an instrumental pedagogy in teaching PSS. When combined with online learning and flipped classrooms, the study's results were higher than those using traditional classroom methods. The study contributes to the literature by determining that online teaching models effectively teach PSS and raise AA scores.
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Computer Education Student Teacher Complex Problem-Solving Skills Development using Computational Thinking and Visualization Tools
(2024-01-01)
Sukkamart, Aukkapong
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Sermsri, Natchanun
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Kantathanawat, Thiyaporn
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Nakwijit, Rerkrudee
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Meekhobtong, Sirinthorn
This research explores the impact of a Collaborative Learning Management Model (CLMM) integrating Computational Thinking (CT) and Visualization Tools (VT) on the development of Complex Problem-Solving Skills (CPSS) in first-year computer education student teachers in Thailand. The study, conducted with 15 student-teachers from Dhonburi Rajabhat University, involved a six-module CPSS learning intervention. Notably, Unit 2’s Alternative Flowchart Writing (AFW) and Unit 4’s Sequential Python Writing (SPW) excelled, while Units 1 and 3 showed initial shortcomings. The overall evaluation, however, revealed that CLMM yielded a final mean of 90.40 and SD of 5.59, emphasizing its effectiveness in enhancing student-teacher CPSS. The research advocates for educators to prioritize advanced tools, including emerging Artificial Intelligence (AI) visualization tools, to further elevate CPSS education, preparing a new generation of educators for the challenges of educating digitally enabled knowledge workers.

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