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International Journal of Environment, Engineering, and Education
Published by Three E Science Institute
ISSN : -     EISSN : 26568039     DOI : https://doi.org/10.55151/ijeedu
Core Subject : Science, Education, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science
The International Journal of Environment, Engineering, and Education [e-ISSN: 2656-8039] is a peer-reviewed, open-access journal that is published three times a year [in April, August, and December]; this journal provides the right platform for authors to update their knowledge, information, and share their research results with the more significant scientific community publishing research articles explaining the ecological, technical, and educational impact of research from various disciplines publishing research articles explaining the environmental, technical, and educational implications of research from multiple disciplines publishing research As an interdisciplinary scientific publication, this journal encourages collaboration between researchers, academics, practitioners, and policymakers in various sectors to develop sustainable solutions to address environmental, engineering, and educational problems and promote sustainable development.
Arjuna Subject : Umum - Umum
Articles 7 Documents
 1 
Search results for , issue "Vol. 7 No. 1 (2025)" : 7 Documents clear
Environmental Assessment of Fishpond Water: Physicochemical and Microbial Analysis of Water Quality in Aquaculture Vicencio, Pamila Erica L.; Dela Cruz, Missy Meine C.; Reyes, Angelica P.
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.164

Abstract

This study assesses the water quality of selected fishponds in Barangay Binakod, Bulacan, Philippines, focusing on critical physicochemical and microbiological parameters necessary for sustainable aquaculture. Key parameters, including pH, temperature, turbidity, dissolved oxygen, phosphate, nitrate, fecal coliform, and total coliform, were measured through on-site field monitoring using calibrated water quality meters and laboratory analysis of water samples. To complement the quantitative data, interviews with fishpond owners were conducted to gather qualitative insights into feeding practices, fertilizer application, and other management practices that influence nutrient loads and water quality. The collected data were compared with the standard aquaculture water quality guidelines outlined in the Department of Environment and Natural Resources (DENR) Administrative Order No. 2016-008 for Class C water bodies. This comparison highlights deviations from the recommended standards and identifies factors contributing to potential water quality issues. The study also examines how these parameters impact the growth, survival, and overall health of aquatic organisms in the fishponds, providing a comprehensive understanding of the current water quality status. The findings of the study offer evidence-based recommendations to fishpond owners, focusing on improving water quality and enhancing aquaculture production. These recommendations address nutrient imbalances, optimize management practices, and reduce environmental impacts. The results of this research contribute to the sustainable management of aquaculture in Barangay Binakod and serve as a valuable reference for improving water quality and productivity in similar aquaculture systems. The importance of maintaining optimal water quality to ensure the long-term viability and profitability of aquaculture operations while promoting environmental sustainability.
The Impact of Environmental Hazards on the Academic Performance of Public Secondary School Students Ucheje, Okoroafor Okechukwu; Balafama, Ipalibo-Wokoma
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.177

Abstract

Environmental factors significantly influence students' academic performance, with hazardous conditions posing notable impediments to educational outcomes. This study investigated the impact of environmental hazards—air pollution, noise pollution, and flooding—on the academic performance of students in public secondary schools in the South-South region of Nigeria. Three objectives and corresponding hypotheses guided the research. Employing a correlational survey design, the study targeted all principals of public secondary schools in the region. A purposive sampling technique was used to select a sample of 240 principals representing six states in South-South Nigeria. Data were collected using two self-designed instruments: the Environmental Hazards Questionnaire (EAQ) and the Academic Performance Questionnaire (APQ). Reliability testing of the instruments yielded coefficients of 0.91 and 0.88, respectively, indicating high reliability. Data analysis was conducted using simple regression to address the research questions, while hypotheses were tested using the t-test associated with simple regression at a 0.05 significance level. The results revealed that air pollution, noise pollution, and flooding have a significant and negative impact on students' academic performance. Specifically, air pollution contributes to health issues that disrupt students’ focus and attendance, while noise and flooding interfere with the learning environment and academic activities. The study concluded that mitigating these environmental hazards is essential for enhancing academic performance in public secondary schools. Recommendations include implementing policies to minimize air and noise pollution around school environments and adopting effective flood management strategies to safeguard academic infrastructure and activities.
Ethno-Pedagogical Module: A Theoretical Exploration of Knowledge Transmission in Ethnobiological Systems Rexhepi, Besnik; Bajrami, Ani
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.181

Abstract

The vertical transmission of ethnobiological knowledge across generations is crucial in preserving biodiversity and sustaining biocultural diversity. However, the mechanisms underpinning this process remain insufficiently studied. This paper introduces the "ethno-pedagogical module" as a novel interdisciplinary framework for analyzing and enhancing the understanding of traditional ecological knowledge (TEK) transmission. The module integrates perspectives from cultural anthropology, education theory, and ethnobiology. Cultural anthropology contributes insights into the role of rituals, oral traditions, and communal practices in knowledge dissemination. Education theory offers methodologies for understanding experiential and participatory learning processes essential to TEK. Ethnobiology provides the foundation for examining the practical and symbolic human-environment relationships embedded in traditional practices. This framework facilitates the disaggregation of TEK systems and enables cross-cultural comparisons, revealing how diverse communities sustain biocultural diversity through unique adaptive practices and learning processes. It also offers practical applications by guiding the integration of TEK into formal and informal education systems to foster environmental stewardship and cultural resilience among younger generations. By addressing the complexities of TEK transmission, the ethno-pedagogical module presents a structured approach for preserving traditional knowledge amidst global environmental and cultural changes. The module bridges traditional ecological practices with contemporary educational strategies, promoting resilience and innovation in sustaining biocultural diversity. This interdisciplinary approach underscores the importance of collaboration in safeguarding cultural heritage and biodiversity in an increasingly interconnected and rapidly changing world.
AI-Powered Approaches for Sustainable Environmental Education in the Digital Age: A Study of Chongqing International Kindergarten Arif, Muhammad; Ismail, Aneta; Irfan, Sadia
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.184

Abstract

The integration of technology into education has garnered significant interest, particularly in its potential to support environmental sustainability. This exploratory research investigates the role of artificial intelligence (AI) in early childhood education, with a focus on its implementation at Chongqing International Kindergarten to teach sustainability concepts. Guided by Mezirow’s Theory of Transformative Learning and Goleman’s concept of Ecological Intelligence, the study explores how AI-powered tools—including virtual ecosystems, real-time feedback systems, and eco-conscious behavior tracking mechanisms—enhance critical reflection, foster ecological intelligence, and promote environmentally responsible behaviors among young learners. A qualitative case study approach was employed, incorporating classroom observations, educator interviews, and pre-and post-assessments to evaluate engagement, environmental awareness, and behavioral changes. The findings reveal that AI tools significantly enhance environmental literacy, helping children understand the consequences of their actions and encouraging them to adopt sustainable practices. Interactive and personalized learning experiences AI provides stimulate critical thinking, transform sustainability-related values, and foster a deeper understanding of ecological interconnections. Students demonstrated improved awareness of sustainability concepts, such as resource conservation and biodiversity, alongside increased engagement in eco-friendly behaviors, including recycling and energy conservation. This research highlights the transformative potential of AI in early education, demonstrating its capacity to influence children's attitudes and behaviors toward environmental responsibility. Integrating AI-driven educational tools into sustainability curricula is crucial for cultivating a generation capable of making informed environmental decisions. The study concludes by recommending further exploration of AI's role in early education to optimize its impact on fostering long-term ecological intelligence and transformative learning.
A Comparative Analysis of Python Text Matching Libraries: A Multilingual Evaluation of Capabilities, Performance and Resource Utilization Elmobark, Nagwa
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.188

Abstract

Python text-matching libraries have become essential tools in data cleaning and natural language processing; however, researchers have not thoroughly examined their performance, accuracy, and resource efficiency across multilingual scenarios. This study evaluates five major libraries—FuzzyWuzzy, RapidFuzz, Difflib, Levenshtein, and Jellyfish—using a dataset of 50,000 test cases in English, Spanish, French, German, and Italian. We introduce controlled variations in text complexity, error types, and string lengths to measure processing speed, matching accuracy, and resource consumption. The experimental results reveal significant performance differences among the libraries. RapidFuzz processes text 40% faster than others while maintaining efficient memory usage. However, its performance varies depending on language and error type. Levenshtein achieves higher accuracy when handling non-Latin characters, while FuzzyWuzzy consistently performs well across different text lengths. Difflib, despite its built-in availability, runs slower and consumes more resources. Jellyfish specializes in phonetic matching but struggles with long text inputs. Memory usage fluctuates between 20 and 200 Megabytes for identical workloads, revealing substantial efficiency differences. These findings enable developers to select the most suitable library based on their specific needs and computational constraints. Our study introduces a standardized evaluation framework and a multilingual benchmarking dataset, enabling researchers to compare text-matching methods more effectively. By identifying key performance trade-offs, we provide a practical guide for optimizing text-matching efficiency in real-world applications. This research contributes to the broader field of natural language processing by offering data-driven insights and a structured methodology for evaluating text similarity techniques.
Development and Characterization of a Biodegradable pH Indicator Film Using Plant-Based Pigments Perera , Hasith; Hosan, Shen; Wijesekara, Dasith; Vithanage, Vimukthi; Koswattage, Kaveenga Rasika
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.193

Abstract

Natural pigments derived from plants present a promising alternative to synthetic dyes for use as pH indicators, owing to their sustainable nature and minimal environmental impact. This study investigates the extraction and characterization of plant-based pigments to create pH-sensitive paper materials. Unlike synthetic pH indicators, which contribute to chemical waste and environmental pollution, these biodegradable alternatives offer an eco-friendly solution for pH testing. The work outlines a systematic approach to evaluate the color changes of plant pigments when exposed to various pH levels while simultaneously developing biological pH-dependent papers and assessing their potential applications as chemical sensing devices. Pigments were extracted from the flowers of Cosmos bipinnatus, Impatiens balsamina, Tabernaemontana divaricata, and Tagetes erecta. The paper substrates were composed of fibers from Panicum virgatum (switchgrass). Color transitions were analyzed using pH meter calibration and UV-visible spectroscopic techniques. Results indicated that the floral pigments in Impatiens balsamina exhibited significant color variation with pH due to anthocyanin content, while the pigments from Tagetes erecta demonstrated stability attributed to carotenoids. The resulting paper displayed strong pH sensitivity, confirming its viability as a pH detection tool. The findings support the potential of plant-based pigments for developing responsive pH paper. Future work should focus on enhancing pigment longevity, scaling production, and exploring practical applications in environmental monitoring, food preservation, and medical diagnostics.
A Two-Dimensional Numerical Study of Evaporation by Mixed Convection of an Inclined Damp Flat Plate: A Lean Engineering Approach Using DMADV Methodology Dimbiharizafy, Ando; Rakotozandry, Andriamananarivo Ignace; Randriamorasata, Josoa
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.199

Abstract

This paper presents a two-dimensional numerical study of the evaporation by mixed convection of an inclined damp flat plate subjected to a constant heat flux density. Airflow, heat, and mass transfers are governed by the equations of continuity, motion, energy, and diffusion, to which boundary layer approximations are applied. Adimensionalization, implicit finite difference method, and programming on MATLAB are used to solve the equations. The methodology is designed using the FAST (Function Analysis System Technique) method and reinforced with DWADV (Define, Measure, Analyze, Design, Verify) by applying Lean Engineering and Six Sigma. The approximation in the boundary layer makes it possible to reduce the number of terms in the equations of the problem. Adimensionalization links the parameters together and reduces their number. The quantities studied no longer depend on the measurement system. Comparison with other studies allowed us to validate our results. The work ends with presenting results about the influence of the Richardson number and the flat’s inclination on non-dimensional velocity, non-dimensional temperature, non-dimensional concentration, and coefficients of exchange associated with mixed convection: friction coefficient, Nusselt and Sherwood number. The increase in the value of the Richardson number generates the opposite effect of the increase in the inclination of the plate on the parameters of mixed convection and the exchange coefficients.

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