Journal of Educational Technology and Learning Creativity

Embedding Ethno-Parenting into 21st Century Education Policy: A Technology-Driven Approach to Cultural Sustainability

2025-12-17T13:34:32+07:00

Purpose of the study: This study aims to analyze how cultural identity is reproduced through ethno-parenting, education, and cultural policy in contemporary Indonesia with a specific focus on how digital tools and technology-enhanced learning environments supports this procces.

Methodology: This research employs a qualitative ethnographic approach using participant observation, in depth interviews, and document analysis in family settings, schools, art studios, and government agencies. Digital content bservation, including online cultural archives, social media materials, and technology-supported learning platforms, was also incorporated to examine technology-driven cultural transmission

Main Findings: Ethno-parenting serves as the primary mechanism for intilling cultural values through storytelling, rutuals, and performance practices. Formal and non-formal education strenghthens cultural internalization by combining theory and practice. Government policy supports cultural sustainability through festivals, regulations, and training subsides. Technology enhances this ecosystem by enabling digital storytelling, online cultural learning, hybrid participation, and increased youth engagement with cultural content through digital media.

Novelty/Originality of this study: This study offers a new perspective by embedding ethno-parenting within 21^st century education policy and examining its integration with technology-based learning. It advances existing knowledge by proposing a technology-driven cultural sustainability model that connects family-based cultural transmission, digital learning ecosystems, and contemporary education policy.

From Pedagogy to Digital Cultural Literacy: Examining the Correlation between Teachers’ Knowledge of Bloom’s Taxonomy, Character Education, and Digital-Based Interpretation of Javanese Philosophy

2025-12-17T13:36:24+07:00

Purpose of the study: This study aims to analyze the relationship between teacher’s knowledge of Bloom’s Taxonomy and character education with their digital-based understanding of the Javanese philosophy Sura Dira Jayaningrat Lebur Dening Pangastuti within technology-integrated cultural education enviroments

Methodology: A quantitative correlational method was implemented using a digital Likerts-scale questionnaire administered through an online platform. Data were analysed with SPSS using validity and reliability test, Pearson product-moment correlation, and multiple regression analysis to measure relationships among Bloon’s Taxonomy knowledge, character education knowledge, and digital-based philosophical understanding.

Main Findings: The study reveals significant positive correlations between teachers’ knowledge of Bloom’s Taxonomy and their digital-based understanding of Javanese philosophy. Teachers’ knowledge of Indonesian character education also shows a strong and significant relationship. Combined, both variables explain 92,8% of the variance in teacher’s ability to interpret and internalize philosophical values within technology-supportes cultural learning.

Novelty/Originality of this study: This study introduces a new approach to cultural education by integrating learning technology to explore Javanese philosophy through digital sources such as websites, digital articles, and educational videos. It is the first correlational investigation to examine the relationship between teachers’ knowledge of Bloom’s Taxonomy, character education, and their digital-based understanding of the Javanese philosophy “ Sura Dira Jayaningrat Lebur Dening Pangastuti .” The findings scientifically validate the Culture School of Ponoragan (CSoP) framework by proving that teachers’ pedagogical and character competencies significantly contribute to strengthening digital cultural literacy grounded in local wisdom.

Technology-Enhanced Action Research Training for Science Teachers: An Explanatory Sequential Mixed-Methods Needs Assessment

2025-12-18T08:19:36+07:00

Purpose of the study: This study aimed to determine the training needs of science teachers in conducting action research and to examine the relationship between their prior research experience and confidence in performing research-related tasks.

Methodology: An explanatory sequential mixed-methods design was used. Data were collected through a validated online survey of 24 science teachers in Cagayan de Oro City, Philippines, followed by semi-structured interviews with eight participants. Data were analyzed using descriptive statistics, Spearman’s rho correlation, and thematic analysis to examine teachers’ perceptions of digital tools and technology-enabled support in enhancing action research competence.

Main Findings: Teachers showed high confidence in identifying research problems but low confidence in technical areas such as data analysis and research writing stages where digital tools could offer substantial support. Prior research experience significantly correlated with confidence in data analysis (ρ = 0.439, p < 0.05). Qualitative findings highlighted barriers such as limited mentoring, time constraints, and lack of institutional structures to support technology based research training. Teachers expressed strong interest in technology enhanced mentoring, online analytics workshops, and digital writing support tools.

Novelty/Originality of this study: This study contributes a novel sequential explanatory framework for diagnosing science teachers’ research competencies while integrating technological considerations into professional development design. Unlike prior assessments relying solely on traditional surveys, this study foregrounds how digital platforms, online mentoring, and technology enhanced training models can address persistent skill gaps. The findings offer actionable insights for designing innovative, technology supported research capacity-building programs for science teachers.

Emotional Resilience, Mood States, and Emotional Stability: Foundations for Digital Emotional Analytics and Technology-Enhanced Counseling in Swamp-Region Schools

2025-12-17T14:15:37+07:00

Purpose of the study: This study examines the relationship between emotional resilience and emotional stability among high school students living in swamp ecological regions in Indonesia and evaluates the mediating role of mood states (Depression, Esteem-related Affect, Vigour). It also highlights implications for technology-enhanced student emotional monitoring.

Methodology: This study employed a cross-sectional survey design with cluster sampling. Instruments included the Ecological Integrity Assessment (EIA) questionnaire, Profile of Mood States (POMS), and the Eysenck Personality Questionnaire Short Scale. Data were collected via paper-based surveys and analyzed using path analysis and SEM with maximum likelihood estimation in R and RStudio software..

Main Findings: Emotional resilience was associated with lower depression and higher vigour. Mood states significantly mediated the resilience–stability relationship, with vigour showing the strongest mediating effect. Students in swamp areas demonstrated high resilience yet exhibited poorer mood conditions than national norms.

Novelty/Originality of this study: Beyond psychological contributions, this study offers new insights for educational technology by identifying mood indicators that can be integrated into digital dashboards, LMS-based monitoring tools, and AI-driven counseling systems for geographically remote schools.

Leveraging Educational Technology to Connect Mathematics, Digital Design, and Entrepreneurship in CLC Students’ Souvenir Production

2025-12-17T14:54:36+07:00

Purpose of the study: This study aims to investigate how mathematics, digital technology, and entrepreneurship are integrated through the digital printing workflow in the production of souvenir keychains by CLC students, with a particular focus on how these activities support the development of creative thinking skills

Methodology: This research employed a qualitative case study using classroom observations, semi-structured interviews, document analysis, and design file reviews. Canva (web-based design platform), Heat Gun KOVA 2000W, and shrink-film materials were used during production, supported by thematic analysis of learning artifacts and performance documentation

Main Findings: The findings show that students developed applied mathematical competencies particularly measurement, proportion, and spatial reasoning while engaging in iterative digital design using Canva. Students demonstrated significant growth in digital literacy, creativity, and product refinement, and successfully produced approximately ninety keychains, all of which were sold during an exhibition, indicating emerging entrepreneurial capability.

Novelty/Originality of this study: This study offers originality by demonstrating how a low-cost digital design and fabrication workflow can bridge technological learning gaps in non-formal CLC environments. Unlike prior research conducted in well-resourced settings, this study shows how accessible tools enable learners with limited technological exposure to integrate mathematics, digital production, and entrepreneurship within an authentic, technology-enhanced learning model.

Local Food-Based Local Content Learning: Utilizing Avocado Seed Flour as a Substitute for Wheat Flour in Making Cookies for Elementary School Students

2025-12-17T22:43:46+07:00

Purpose of the study: This study aims to integrate local food resources into Local Content (Muatan Lokal) learning for elementary school students by utilizing avocado seed flour as a substitute for wheat flour in cookie production.

Methodology: The research was conducted using a Completely Randomized Design (CRD) with six treatment levels of avocado seed flour substitution and five replications. The procedures included the preparation of avocado seed flour following food science standards, cookie production using a standardized baking method, and evaluation of physical properties consisting of moisture content, water activity, hardness, and color. Data were analyzed using Analysis of Variance (ANOVA) followed by Duncan’s Multiple Range Test (DMRT) at a 5% significance level.

Main Findings: The findings show that increasing the proportion of avocado seed flour significantly affected the physical properties of cookies, particularly reducing moisture content and increasing hardness, while also influencing color parameters (L, a, b*).

Novelty/Originality of this study: The novelty of this study lies in the integration of multidisciplinary food science methods with elementary education through the development of a local food–based learning model that promotes contextual, hands-on learning using local resources. This approach strengthens food literacy and supports character development related to sustainability and the appreciation of local biodiversity.

A Technology-Enhanced Coaching Model for Professional Readiness in Psychology Education

2025-12-18T14:21:35+07:00

Purpose of the study: This study aims to develop and empirically evaluate a technology-enhanced, coaching-based learning model to strengthen psychology students’ competencies in providing motivational support, addressing gaps in experiential training and improving graduates’ professional readiness.

Methodology: The research employed a quasi-experimental design with one hundred twenty psychology students. The experimental group participated in a structured pedagogical intervention that integrated interactive coaching workshops, video-recorded role-playing simulations of client sessions, etc. Professional readiness was assessed using validated scales measuring professional self-identity, professional competence, client motivation support skills, and coaching self-efficacy. Statistical analysis included descriptive statistics, Student t-test, analysis of variance, correlation and regression analyses, and mediation analysis using Hayes' PROCESS macro.

Main Findings: Participants in the experimental condition demonstrated statistically significant and substantial improvements in professional self-identity, coaching self-efficacy, and competence in providing motivational support compared to the control group. The effect sizes were large. Mediation analysis confirmed that enhanced professional competence fully mediated the positive effect of the training on motivational support skills.

Novelty of this study: This research contributes to the fields of educational technology and instructional design by introducing an evidence-based, scalable pedagogical model. It positions coaching not as a supplementary activity but as a core instructional methodology, systematically supported by accessible digital tools to enhance reflective learning and feedback. The proposed model offers a practical framework for competency-oriented curriculum redesign in higher education, readily adaptable to hybrid and fully online learning environments, with applicability extending beyond psychology to other professions requiring motivational support skills.

Technology-Based Video Analysis for Evaluating Pedagogical Competence of Prospective Elementary School Teachers Using Gagné’s Conditions of Learning

2025-12-18T14:47:06+07:00

Purpose of the study: This study aims to examine the use of digital learning videos as a technology-based assessment tool to evaluate the pedagogical competence of prospective elementary school teachers using Gagné’s Conditions of Learning framework.

Methodology: A qualitative descriptive method supported by simple quantitative analysis was employed by analyzing 20 digitally recorded learning videos from a Teacher Professional Education program. A structured video analysis rubric was applied as a form of technology-mediated observation to identify pedagogical indicators, including responding, reinforcement, retrieval, and generalization.

Main Findings: The findings indicate that digital video analysis effectively captures pedagogical practices, with responding (43.5%) and reinforcement (29.0%) dominating classroom interactions, while retrieval (14.5%) and generalization (13.0%) appear less frequently. The use of video as a digital medium enables detailed, repeatable, and objective observation of instructional practices across different teaching contexts.

Novelty/Originality of this study: This study contributes to educational technology research by integrating classical learning theory with video-based digital assessment, offering a scalable and evidence-based approach for evaluating teacher pedagogical competence in professional education programs.

Artificial Intelligence as an Integral Component of the Digital Culture within Contemporary Higher Education

2025-12-18T14:48:48+07:00

Purpose of the study: Purpose of this study is to formalize a framework for the integration of AI into higher education, predicated on an analysis of cognitive transformations, subjective strategies, and regulatory frameworks for intervention.

Methodology: The methods employed in this study encompass cognitive-discursive calibration, expert rubricative assessment, NLP analysis of academic texts, hybrid modeling of textogenesis, inter-iterative comparative analysis, a dispersion questionnaire of students, an expert scale survey of educators, ontological normative modeling.

Main Findings: Through inter-iterative analysis, a notable increase in argumentative complexity (+14.1%), cognitive complexity (+21.2%), and syntactic complexity (+19.4%) was observed, alongside an enhancement in coherence (+14.6%). Conversely, there was a simultaneous decrease in subjectivity (−7.5%) and a significant increase in AI-discriminant weight (+180.2%). Instances of complete generation were recorded in 16% of cases, indicative of hyperdelegation and the erosion of intentionality; the survey revealed epistemological polarization regarding the AI perception. In response to these identified factors, a stratified framework has been developed, prioritizing cognitive non-delegation, semantic traceability, and subjective accountability, which aims to ensure the stabilization of cognitive sovereignty and digital autonomy.

Novelty/Originality of this study:The scientific novelty of this study lies in developing a formalized framework for integrating artificial intelligence into higher education, emphasizing cognitive traceability, subjective accountability, and normative stratification. This framework systematically aligns AI-mediated educational processes with ethical standards and pedagogical imperatives, ensuring responsible technological integration that supports transparency, learner agency, and sustainable academic governance within digital learning environments.

Data-Based Curriculum Evaluation and Teacher Performance: Quantitative Evidence of Strengthening Digital Systems in Learning Management

2025-12-19T11:31:16+07:00

Purpose of the study: This study investigates the influence of curriculum management practices on teacher performance in primary and secondary schools across Bengkulu Province, Indonesia. With the nationwide implementation of the Independent Curriculum (Kurikulum Merdeka) demanding stronger instructional quality, empirical evidence on how curriculum management contributes to teacher performance in local contexts remains limited.

Methodology: A quantitative survey design was employed, involving 327 teachers selected through proportional stratified random sampling. Curriculum management was measured through three dimensions: planning, implementation, and evaluation. Teacher performance was assessed using indicators of pedagogical competence, instructional delivery, and classroom assessment practices. Data were analyzed using structural equation modeling (SEM).

Main Findings: The findings reveal that curriculum management practices have a significant positive effect on teacher performance, with curriculum evaluation emerging as the strongest predictor.

Novelty/Originality of this study: The study highlights the need for strengthening data-driven curriculum monitoring and professional development. These findings contribute to the literature on curriculum governance in developing regions by providing empirical evidence from a non-metropolitan Indonesian context. They also offer evidence-based recommendations for policymakers and school leaders in optimizing curriculum implementation within decentralized education systems.

A Circular Economy Approach: Total Elimination of Extreme Swelling in Expansive Clay Using Pyrolytic Carbon Black and Fly Ash

2025-12-17T17:04:39+07:00

Purpose of the study: To rigorously investigate and quantify the effectiveness of a novel, synergistic stabilizer composed of Pyrolytic Carbon Black (PCB) and Fly Ash in totally eliminating extreme swelling potential in highly problematic expansive clay soil.

Methodology: The comprehensive methodology included initial characterization, Modified Proctor compaction, One-Dimensional Swelling tests, Unconfined Compressive Strength (UCS) tests, and California Bearing Ratio (CBR) tests. Expansive clay was treated with a combined stabilizer dosage up to 25% (15% PCB and 10% Fly Ash) and cured for 28 days.

Main Findings: The stabilizer significantly enhanced compaction characteristics, increasing the Maximum Dry Density (MDD) from 1.62 g/cm³ to 2.18 g/cm³. Crucially, the extreme Free Swell Index (FSI) of 120.23% was totally eliminated (swelling reduced to 0%). Mechanical strength improved dramatically: UCS increased from 0.12 kg/cm² to 1.98 kg/cm² , and unsoaked CBR enhanced from 2.48% to 10.18%.

Novelty/Originality of this study: This research provides the first conclusive quantitative evidence of total swelling elimination in expansive clay using this specific PCB and Fly Ash sustainable blend. It advances knowledge by bridging geotechnical science, green engineering, and the circular economy, demonstrating a viable, cost-effective solution utilizing two major waste streams (tires and coal ash) for critical infrastructure subgrades.

Algorithmic Mediation and Digital Platforms: Constructing Collective Consciousness in Wartime Ukraine

2025-12-20T15:10:34+07:00

Purpose of the study: The research examined how Internet media shape the collective consciousness of Ukrainians during ongoing social change and armed conflict. It identifies the major trends, thematic priorities, and influence mechanisms used by leading Ukrainian online outlets to mold public opinion.

Methodology: The study used a multi-method design that blended quantitative and qualitative tools. Content analysis clarified the thematic focus and narrative patterns across selected media outlets. Mediametric and platform-aware analysis helped quantify how distribution algorithms, platform mechanisms, and engagement tools amplify certain narratives. This made it possible to track how digital platform architecture shapes narrative visibility and public resonance. A nationwide sociological survey of 1,600 respondents captured broader public perceptions.

Main Findings: The findings reveal a significant differentiation in editorial strategies among Ukrainian online media. Content analysis indicates that UNIAN demonstrates the strongest emphasis on heroic narratives (55% of materials), whereas RBC-Ukraine shows a notably lower focus (35%). These editorial strategies and their divergent public impact are critically enabled and modulated by the underlying digital infrastructure, including algorithmic content prioritization and platform-afforded engagement loops, highlighting the need to analyze media influence through a techno-social lens.

Novelty/Originality of this study: Online media play a decisive role in shaping public opinion in Ukraine, largely through how they frame self-identification, language policy, and views on the ongoing conflict. The study adds a media-technological lens to understanding collective consciousness, highlighting the impact of algorithmic curation, platform design, and data-driven narratives on opinion formation in wartime conditions.