Research Community and Social Development Journal

Transforming Thai Education with AI to Cultivate Public-Minded Global Citizens

2026-05-14T15:04:07+07:00

Introduction: The rapid advancement of Artificial Intelligence (AI) has created new opportunities and challenges for education systems worldwide. In Thailand, persistent issues such as educational inequality, uneven access to quality learning resources, centralized administration, and the need to develop future-ready competencies have intensified the urgency of educational reform. This academic article aims to synthesize current knowledge and conceptual perspectives on the integration of AI into Thai education to cultivate public-minded global citizens who are ethically aware, socially responsible, and capable of engaging constructively in an interconnected world.

Subject: The article examines the relationship between AI in education, public-mindedness, and global citizenship education. It discusses how AI can support personalized and adaptive learning, learning analytics, automated assessment, instructional content generation, and inclusive learning for students with diverse needs.
At the same time, it emphasizes that AI should not be viewed merely as a technological tool for efficiency, but as a transformative mechanism for promoting equity, learner agency, civic responsibility, and human-centered learning. The article also addresses key ethical considerations, including data privacy, algorithmic transparency, equitable access to AI technologies, AI literacy, and the preservation of the human role of teachers in AI-enhanced learning environments.

Conclusion: The synthesis indicates that AI has strong potential to reshape Thai education by enabling more flexible, personalized, and inclusive learning experiences. However, successful integration requires coherent national policies, ethical governance, inclusive digital infrastructure, teacher competency development, and continuous evaluation of both learning outcomes and social impacts.

Benefit, Utilization: The article provides a conceptual framework for transforming Thai education with AI to cultivate public-minded global citizens. This framework can be utilized by policymakers, educators, curriculum developers, and educational institutions as a strategic guideline for designing AI-supported learning systems that promote equity, ethical awareness, social responsibility, and sustainable educational development in Thailand.

Focus Group Discussions, Group Interviews, and Expert-led Seminars: Stepping into a New Dimension of In-Depth Research

2025-05-16T09:11:50+07:00

Introduction: Qualitative research methodologies are crucial for understanding intricate human behaviors and complex social phenomena in the social sciences and humanities. As contemporary research challenges become increasingly multifaceted, refining advanced methodologies is essential. This article aims to critically explore three prominent qualitative research tools—Focus Group Discussion (FGD), Focus Group Interview (FGI), and Connoisseurship—along with their methodological evolution and strategic integration within the modern digital era.

Subject: The study comprehensively analyzes each method's definition, structured implementation process, inherent strengths, and contextual applicability. FGD is highlighted as an effective instrument for gathering diverse perspectives through open, interactive dialogue, making it suitable for exploring broad social issues. Conversely, FGI employs a more rigorously structured approach, facilitating the in-depth exploration of highly specific topics. Connoisseurship relies on refined expert judgment to generate insights with exceptional credibility and analytical depth. Furthermore, the article profoundly examines the integration of these traditional qualitative methods with cutting-edge technological advancements. Specifically, it discusses how incorporating Artificial Intelligence (AI) for real-time transcription and thematic extraction, alongside Virtual Reality (VR) for immersive participant environments, optimizes data collection, accelerates analysis, and enhances interpretation accuracy.

Conclusion: The findings conclusively indicate that utilizing these distinctive methods, whether applied individually or strategically combined, yields significantly more comprehensive, nuanced, and robust research outcomes. Integrating state-of-the-art digital advancements systematically mitigates traditional methodological limitations, thereby elevating research efficiency, strengthening data validity, and significantly expanding the overall scalability of contemporary qualitative studies.

Benefit, Utilization: The critical insights derived from this article empower modern researchers and practitioners to appropriately select, adapt, and synergize these methodologies while effectively navigating rapid technological shifts. This synthesized knowledge fundamentally supports rigorous, evidence-based decision-making. Consequently, these advanced approaches can be practically applied across a multitude of academic disciplines and professional fields, offering substantial contributions to strategic policy development, educational planning, and complex community-based studies.

Designing AI-Generated and Human-Taught Short-Video Mandarin Lessons: Learner Needs and Instructional Design Quality

2026-05-12T16:34:53+07:00

Background and Objective: The growing use of short-video learning and artificial intelligence (AI) in education has intensified interest in scalable instructional formats, yet the quality of instructional design in AI-generated materials remains underexamined. Existing studies often evaluate learning outcomes or technology acceptance without establishing whether the instructional content itself is pedagogically sound.

Methodology: This study adopts a design-oriented approach to examine how AI-taught and human-taught short-video Mandarin lessons can be systematically developed and evaluated. A sequential design was employed, including learner needs analysis (N = 180), controlled instructional design, and expert evaluation (N = 5). Two sets of videos were developed using identical content to isolate the effect of delivery mode. Instructional quality was assessed in terms of clarity and suitability.

Results: Expert evaluation showed that human-taught videos achieved a higher overall quality rating (M = 4.31, SD = 0.57) than AI-generated videos (M = 4.04, SD = 0.96). Human-taught videos were particularly strong in clarity of explanation and naturalness of language delivery (M = 4.80, SD = 0.45), whereas AI-generated videos excelled in suitability for the short-video format (M = 5.00, SD = 0.00) and pronunciation consistency (M = 4.80, SD = 0.45). The findings suggest that instructional quality is shaped primarily by systematic design rather than delivery mode alone, and that the two approaches offer complementary pedagogical strengths.

Discussion: This study advances a design validation perspective in AI-supported learning by demonstrating that instructional effectiveness depends on how learning materials are designed, not merely on how they are delivered.

The Influence of Internal Organizational Communication on Economic and Green Management Efficiency in Electric Truck Utilization within Logistics Organization

2026-05-08T22:35:40+07:00

Introduction: The logistics industry is an important mechanism driving the Thai economy. However, road transportation remains a major source of carbon dioxide emissions. The use of electric trucks is therefore an important approach to support green logistics and reduce energy costs. Nevertheless, the successful adoption of electric trucks requires internal organizational communication to create shared understanding among employees. This study aimed to analyze the influence of internal organizational communication on green management efficiency and economic efficiency.

Methodology: This study employed a quantitative research design and collected data using a questionnaire. The sample consisted of 101 employees from a logistics organization in Thailand that had adopted electric trucks. The respondents were selected through purposive sampling. The questionnaire covered internal organizational communication, green management efficiency, and economic efficiency. Data were analyzed using descriptive statistics and Ordinal Logit Regression with a Hierarchical Regression approach.

Results: The respondents reported a high level of agreement regarding internal organizational communication, green management efficiency, and economic efficiency. The Cronbach’s alpha coefficients of all three variables were at a high level. The analysis revealed that internal organizational communication had a statistically significant positive effect on green management efficiency and also had an indirect positive effect on economic efficiency through green management efficiency.

Discussion: The findings indicated that achieving economic efficiency from the use of electric trucks required effective green management. Such green management was supported by internal communication that created shared understanding among employees with different roles and experiences.

Suggestion: Logistics organization should establish electric truck policies that are linked to green management strategies, develop internal communication systems, and encourage feedback from operational employees. In addition, the government should support incentive measures, infrastructure development, and human resource development to accelerate the transition toward a low-carbon transportation system.

An Exploratory Study of Pharmacists’ and Migrant Workers’ Perspectives toward the Use of a Digital Language Translation Platform

2026-05-08T21:43:35+07:00

Introduction: Community pharmacies serve as highly accessible primary healthcare units for both the general public and migrant workers. However, persistent language barriers remain a critical constraint that can compromise the quality of pharmaceutical care. This study aimed to identify communication barriers between migrant workers and pharmacists, assess their awareness of and attitudes toward digital translation platforms, and compare the perspectives of both groups regarding the communication effectiveness and service quality facilitated by these platforms.

Methodology: Utilizing a quantitative survey research design, data were gathered from two distinct cohorts: 62 community pharmacists via an online questionnaire, and 30 Myanmar migrant workers via a questionnaire administered with the assistance of an interpreter. Intergroup differences were analyzed using descriptive statistics and evaluated using the Mann–Whitney U test.

Results: Both pharmacists and migrant workers indicated that digital translation platforms significantly enhance communication and pharmaceutical service quality. These platforms were found to minimize communication errors, improve comprehension of medication instructions, bolster migrant workers’ perceived safety during consultations, increase convenience, foster trust, and project a positive image for community pharmacies. Furthermore, Mann–Whitney U test analysis revealed that pharmacists held significantly more positive perceptions regarding the platform's capacity to reflect service quality, standards, and readiness compared to the Myanmar migrant workers.

Discussion: Digital translation platforms act as vital mechanisms for facilitating intercultural communication within community pharmacies. To bridge critical language gaps linked directly to patient trust and clinical safety, translation software tailored specifically for pharmaceutical contexts should be developed. Future research should expand the cohort to include international tourists to examine language-related limitations across diverse cultural and demographic contexts.

Recommendations: The development of a dedicated, pharmacy-specific digital translation platform supporting Myanmar and Cambodian languages is highly recommended. This platform should incorporate a validated, high-accuracy database of clinical and health advice terminology, establish strict safety usage standards, and be paired with intercultural communication training programs for pharmacists.

Behavior and Satisfaction with Ai-Developed Online Lessons of Communication Faculty of Management Science Students at Udon Thani Rajabhat University

2026-05-01T16:07:37+07:00

Background and Objective: In the contemporary digital education landscape, Artificial Intelligence (AI) has emerged as a transformative force in higher education instruction. This research aimed to: 1) study the usage behaviors of Communication Arts students, Faculty of Management Science, Udon Thani Rajabhat University regarding AI-developed online lessons, 2) examine their level of satisfaction with these instructional tools, and 3) compare student opinions between AI-developed online lessons and traditional instructional methods.

Methodology: The research sample consisted of 63 Communication Arts students at Udon Thani Rajabhat University enrolled in the News Reporting course during Semester 2, Academic Year 2025, selected using purposive sampling (students who had engaged with all AI-developed online lesson activities, at least 80% of all activities, throughout the semester). The research instrument was an online questionnaire administered via Google Forms, yielding a high reliability coefficient (Cronbach's Alpha = 0.93). Data were analyzed using descriptive statistics—frequency, percentage, mean, and standard deviation—along with a One-Sample t-test for comparative analysis (reference value μ₀ = 3.00).

Results: The majority of participants were female (60.32%), aged 19 years (53.97%), and primarily utilized smartphones as their main device (84.13%), typically 2–3 times per week with peak usage occurring near examination periods and before class sessions. Overall satisfaction was rated at a high level (μ = 4.08, σ = 0.69), with Google Classroom usability receiving the highest score (μ = 4.15), followed by lesson content quality (μ = 4.12). Regarding the comparative analysis, students perceived AI-developed lessons as significantly superior to traditional methods across all measured dimensions (μ = 3.81, σ = 0.79, t(566) = 24.245, p < 0.001), with the highest scores attributed to ease of use and timely assessment feedback (μ = 3.92).

Discussion and/or Suggestion: The findings reflect the digital learning behaviors of Communication students at Udon Thani Rajabhat University, who prioritize convenience and mobile accessibility. It is recommended that instructors adopt a Mobile-First Design approach and selectively integrate AI into appropriate courses to support Self-Directed Learning alongside classroom instruction. Future research should employ quasi-experimental designs with control groups to more rigorously validate these comparative findings.

A Study of Content and Language Integrated Learning (CLIL) on the Development of English Spelling and Reading Skills of Year 2 EAL Students at Udon Thani International School

2026-04-03T14:21:36+07:00

Background and Objective: English serves as an important medium in international schools, particularly for students learning English as an Additional Language (EAL). This research aimed to examine the effects of Content and Language Integrated Learning (CLIL) on the English spelling skills of Grade 2 EAL students at Udon Thani International School by comparing their post-test and pre-test scores, and to investigate students’ satisfaction with the CLIL learning approach.

Methodology: Eight Grade 2 EAL students participated in the study selected through purposive sampling. The research instruments designed included Content and Language Integrated Learning (CLIL) based with 8 lesson plans, an English spelling achievement test, and a student satisfaction questionnaire. The instructional intervention was conducted over 4 weeks, totaling 8 hours. Data were analyzed using mean, standard deviation, and a paired-samples t-test to examine differences between post-test and pre-test scores, while descriptive statistics were used to analyze student satisfaction. The instructional activities included vocabulary exposure, guided spelling practice, and interactive learning tasks that encouraged students to use English in meaningful classroom contexts.

Results: The results revealed that the English spelling scores of Grades 2 EAL students after learning through the CLIL approach were significantly higher than their scores before the intervention. In addition, the students reported a high level of satisfaction with the learning content, instructional activities, and teacher support provided through the CLIL approach. The improvement suggests that integrating language learning with academic content can support students’ understanding of spelling patterns and promote early literacy development.

Discussion and Suggestions: The findings suggest that Content and Language Integrated Learning (CLIL) serve as an instructional approach for developing English spelling skills among primary-level EAL students. Integrating language learning with academic content promotes meaningful learning experiences, increases learner engagement, and supports language development. Contextualized learning activities also help students connect vocabulary knowledge with real learning situations. Therefore, Content and Language Integrated Learning (CLIL) should be encouraged for use in English language instruction at the primary education level. Further research involving larger samples and longer instructional periods is recommended to strengthen the generalizability of the findings.

The Study of Analytical Thinking Ability using Collaborative Learning Process (co-5steps) whit Infographics for Home Economics Grade-6 Students at Ban Pasang Nong-Hee School

2026-05-20T00:09:38+07:00

Background and Objective: Contemporary education aims to develop learners' analytical thinking abilities and practical application skills. External assessments indicated that Grade 6 students in the Occupational Studies course at Ban Pasang Nonghee School exhibited limitations in their analytical thinking. This study, therefore, aimed to investigate: 1) students' analytical thinking ability, 2) their learning achievement, and 3) their satisfaction with a learning management model based on a five-step collaborative learning approach integrated with infographics. The baseline benchmark for success was set at a 75% passing criterion. The target group consisted of 11 Grade 6 students selected through purposive sampling.

Methodology: A one-shot case study design was employed. The research instruments comprised structured lesson plans, an analytical thinking test, a learning achievement test, and a satisfaction questionnaire. Quantitative data were analyzed using percentages, means, and standard deviations.

Results: The findings revealed that 10 out of 11 students (90.90%) successfully met both the analytical thinking ability and learning achievement criteria. Furthermore, the students' overall satisfaction with the integrated learning management approach was at the highest level (M = 4.84, SD = 0.37).

Discussion and Recommendations: The implementation of the 5-step collaborative learning approach integrated with infographics demonstrated strong efficacy, enabling 90.90% of the target group to pass the designated benchmarks. However, the "error analysis" dimension yielded a mean score of only 67.27%, failing to meet the criterion. This suggests that error analysis involves higher cognitive complexity and requires more extended, progressive learning experiences. Future research should explore the development of other higher-order thinking skills, expand the sample size, and incorporate action research frameworks to optimize instructional effectiveness across diverse educational contexts.

Modeling the Impact of Perceived Frustration on Challenge-Seeking Behavior through Motivation, Effort, and Resilience: Evidence from Chinese Hyper-Casual Game Players

2025-10-08T11:55:59+07:00

Background and Objective: The hyper-casual games industry in China has rapidly expanded, offering simple gameplay yet highly competitive engagement patterns. However, many players experience frustration due to repetitive challenges and limited rewards, which can influence their motivation and persistence. This study aimed to construct and test a structural model explaining how perceived frustration affects players’ challenge-seeking behavior intention through the mediating roles of challenge motivation, player effort, and player resilience. The objective was to deepen understanding of player psychological dynamics and propose strategies for sustaining engagement in the hyper-casual gaming sector.

Methodology: The study employed a quantitative approach using a survey design. Data were collected from 553 Chinese players of hyper-casual games through an online questionnaire containing 10 constructs measured by 30 indicators on a seven-point Likert scale. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine both direct and indirect relationships among variables. Reliability, convergent validity, and discriminant validity were established before hypothesis testing.

Results: The findings confirmed that perceived frustration significantly influenced challenge motivation, player effort, and resilience. All three mediators positively predicted challenge-seeking behavior intention. Moreover, the indirect effects of perceived frustration on challenge-seeking behavior intention through challenge motivation, player effort, and resilience were significant, with challenge motivation showing the strongest mediating effect. The model explained 72% of the variance in challenge-seeking behavior intention, indicating strong predictive power and model fit.

Discussion and Suggestion: The results highlight that frustration, when perceived as manageable and meaningful, can enhance motivation and resilience rather than discourage players. Game developers are encouraged to design adaptive challenges that balance difficulty and reward to foster positive motivational states. Future studies may explore cultural or genre-specific factors influencing frustration tolerance and player engagement across different gaming contexts.