Journal of Educational Technology and Learning Creativity

The Influence of Education Using Animated Videos on Dental and Oral Health Behavior in Elementary School Children

Stella Eka Sari, Hira Farhan, Ebenezer Gyamera, Marivic D. Paghubasan — Thu, 01 May 2025 14:10:02 +0700

Purpose of the study: The purpose of this study was to determine the effect of animated video education on dental and oral health behavior in elementary school-aged children.

Methodology: This type of research is quantitative with quasi-experimental one group pretest-posttest design. The population is all students of grades 1-6 SDN 1 Tunggulrejo totaling 66 people, a sample of 57 is obtained using the Probability sampling method with proportional random sampling technique. The independent variable is education using animated videos. The dependent variable is dental and oral health behavior. Data collection using a dental and oral health behavior questionnaire. Data analysis with editing, coding, scoring, and tabulating, tested using the Wilcoxon test.

Main Findings: The study found that prior to the intervention, 50.9% of students demonstrated poor dental and oral health behavior. After being given animated video education, 94.7% of students showed good behavior. The Wilcoxon test results indicate a significant improvement with a p-value of 0.000 (p < 0.05), confirming that animated video education had a statistically significant positive effect on students’ health behavior.

Novelty/Originality of this study: The novelty of this study lies in the use of animated videos as interactive educational media that are more effective than conventional methods in improving children's dental and oral health behavior. With a narrative visual approach that is appropriate to cognitive development, this study contributes to technology-based health education strategies in schools and families.

Innovative Forest Fire Detection Using LoRa Wireless Network for Long-Range and Real-Time Monitoring

Fri, 02 May 2025 00:00:00 +0700

detection tool based on wireless technology that can send information in real-time without an internet network. This system helps related parties detect and respond to fires more quickly and efficiently.

Methodology: This study employs an experimental research method, using tools such as Arduino, LoRa, DHT11, MQ2 sensors, and ESP32 Wi-Fi modules. Data collection methods include observation, interviews, and literature review. Software used includes Arduino IDE, Sublime, and Windows 10. Prototyping is applied for system design, with unit, system, and integrity testing for system validation. Data analysis is qualitative, with a focus on real-time monitoring.

Main Findings: The LoRa forest fire detection system works well, sending temperature, humidity, and smoke data to the website. Tests show that the device can work at a distance of up to 1 km. The fire status only appears if the temperature is above 40°C, humidity is above 10%, and smoke is above 2670 ppm. At close range, the device successfully detects fires, while at further distances, the safe status is displayed.

Novelty/Originality of this study: This study introduces a forest fire detection system using LoRa wireless communication, combining real-time monitoring of temperature, humidity, and smoke. The integration of Arduino-based sensors with LoRa for long-range data transmission offers an innovative approach. This research advances existing fire detection technologies by improving coverage and real-time data transmission, enhancing the accuracy and reliability of wildfire monitoring systems.

The Effect of LED Light Intensity on the Growth of Spinach (Amaranthus sp.): A Comparative Study of Green and Red Varieties

Supamas Intharit, Leah Navarro, Apichai Chanudom — Fri, 02 May 2025 18:01:55 +0700

Purpose of the study: This study aims to examine the effect of LED light power on the growth of spinach plants (Amaranthus sp.) and compare the impact of different LED power levels on the growth of green and red spinach.

Methodology: This study used white LED lights (3W, 5W, 6.5W), a lux meter, thermometer, ruler, and camera. Green and red spinach seeds were planted in polybags with a soil and fertilizer mixture. An experimental method was applied with weekly growth measurements. Data were analyzed using descriptive statistical calculations.

Main Findings: The results show that 3W LED light provides the best growth for green and red spinach, with greater leaf width, leaf count, and stem height compared to 5W, 6.5W, and no light. Excess light (6.5W) hinders growth, while no light causes pale and wilted leaves. Red spinach grows faster than green spinach.

Novelty/Originality of this study: This study reveals that 3W LED light is more effective in promoting spinach growth than higher wattages or no additional light. These findings provide new insights into optimal light power selection for plant growth, benefiting urban farming, hydroponics, and indoor cultivation.

Design and Experimental Study of a Biomass Pellet Gasifier Stove with Heat Recovery System for High Efficiency and Low Emission

Seangly Kheang, Pilin Hankhuntod, Lillian Noela Wesonga — Fri, 02 May 2025 22:49:04 +0700

Purpose of the study: This study aims to design and test a gasifier-type biomass stove equipped with a heat exchanger system as an innovative effort to increase thermal efficiency and reduce CO emissions.

Methodology: The stove is designed with a special configuration by adding a heat exchanger to the gasifier system. It has dimensions of 700 mm in height, 400 mm in diameter, a combustion chamber height of 300 mm, combustion chamber diameter of 300 mm, an air inlet pipe diameter of 1.5 inches, an exhaust pipe diameter of 3 inches, and a heat exchanger length of 90 cm. Testing was conducted under cold start and hot start conditions, with variations in grate height (250 mm and 300 mm) and air-fuel ratios (0.9, 1.0, and 1.3).

Main Findings: The test results showed that the stove with a heat exchanger system was able to increase the average thermal efficiency to 35.76%, higher than the conventional biomass stove of 28.89%. The CO emissions produced ranged from 19 ppm to 51 ppm, depending on the variation of operation. The optimal conditions were obtained at a grate height configuration of 250 mm and an air-fuel ratio of 1.0 which produced the highest efficiency of 38.02% with CO emissions of 42.78 ppm.

Novelty/Originality of this study: The integration of a heat exchange system into a gasifier-type biomass stove has been shown to enhance thermal efficiency, significantly reduce CO emissions, and yield an optimal combination of parameters that are rarely addressed in previous studies.

The Adoption of Agriculture Technology in Small-Scale Farming in The Adumasa Community in Ghana

Daniel Kwesi Antwi, Ebnezer Gyamera, Mahmud Abdulshakur — Sat, 03 May 2025 00:00:00 +0700

Purpose of the study: This study aims to identify socio-economic and institutional factors influencing the adoption of agricultural technologies by small-scale farmers in Adumasa. The study explores the types of technologies used and the factors that determine their adoption decisions, considering their benefits and drawbacks.

Methodology: This study used a qualitative approach with a sample of 15 farmers from the Adumasa community (10 adopters and 5 non-adopters), paying attention to gender equality (8 males and 7 females). Data were collected through direct/telephone interviews, field observations, and document analysis, using interview guides and observation notes as instruments. Data analysis was carried out thematically with the help of Atlas.ti to identify patterns of factors influencing the adoption of agricultural technology.

Main Findings: The results of the study showed that the application of agricultural technology increased agricultural productivity by up to 25% compared to conventional methods and improved the economic welfare of farmers through increased income and work efficiency.

Novelty/Originality of this study: The novelty of this study lies in the comprehensive analysis of the impact of agricultural technology on the socio-economic aspects of farmers. This study contributes to the formulation of technology-based agricultural policies to improve food security and farmer welfare.

Utilization of an E-Knows-Based Learning Management System (LMS) to Enhance Learning Quality

Karwan Al-Dosakee, Haniyeh Kalantari Dehaghi, Samia M.Musleh — Sun, 04 May 2025 21:56:55 +0700

Purpose of the study: This study aims to analyze the relationship between the use of E-Knows-based Learning Management System (LMS) and improving the quality of learning, using a quantitative approach through surveys and structured interviews.

Methodology: The research used a mixed method with an explanatory type. The research sample was teachers and junior high school students in Kurdistan. The sampling technique used purposive sampling, the research instrument used questionnaires and interviews with descriptive and inferential statistical data analysis.

Main Findings: The results showed that the majority of students (45%) used E-Knows every day, and this was positively correlated with increased student engagement (average score 4.3/5), effectiveness of material delivery (4.1/5), and academic achievement (3.9/5). Regression analysis produced a coefficient of 0.62 with a significance value of p = 0.000, indicating that an increase in one unit of E-Knows use will significantly increase the quality of learning by 0.62 units.

Novelty/Originality of this study: A key novelty of this research lies in its focus on real-time student progress tracking and interactive discussion forums, which significantly contribute to active learning. These findings highlight the potential of E-Knows LMS to optimize digital learning environments.

From Virtual Carts to Real-Life Purchases: The Role of Digital Technology in Gen Z's Buying Decisions

Gambari Amosa Isiaka, Abdulganiyu Alasela Amosa, Bořivoj Brdička — Mon, 05 May 2025 20:17:15 +0700

Purpose of the study: The main objective of this study is to conduct a confirmatory factor analysis on the determinants of shopping behavior, as well as to conduct a difference test analysis to see the differences in shopping behavior between Gen Z and Gen Y.

Methodology: The type of data used in this study is primary data, obtained through a questionnaire. The selected samples are Gen Z (aged 10-19 years) and Gen Y (aged 20-35 years) who shop online with e-commerce. The estimation method uses confirmatory factor analysis and independent t-test.

Main Findings: The results of the confirmatory factor analysis show that cultural, social, personal, and psychological variables are confirmed as variables that shape shopping behavior. Then the results of the difference test show that Gen Z's shopping behavior is different from Gen Y's shopping behavior.

Novelty/Originality of this study: This study offers new insights into how digital technology is bridging the gap between virtual shopping experiences and real-world purchasing decisions among Gen Z consumers. By examining the evolving influence of digital platforms, the study highlights new patterns in Gen Z consumer behavior, providing valuable perspectives for businesses adapting to the digital marketplace.

The Influence of Social Media Usage on Online Political Participation

Zacharia Malima, Mona Cabr, Ayman A El Samad — Fri, 09 May 2025 20:01:56 +0700

Purpose of the study: The purpose of this study is to determine the influence between the use of social media and online political participation.

Methodology: This study uses a quantitative approach with an associative research type to analyze the influence of social media on online political participation. Data were collected through questionnaires, analyzed using SmartPLS to evaluate the measurement model, relationships between variables, and hypothesis testing, involving political science students in University of Dar es Salaam as samples.

Main Findings: From the statistical results of the Analysis using Smart PLS, it was found that the intensity of social media use through political expression has a significant influence on online political participation. From the results of this study it is also known that the moderating variables that influence the relationship are media usage time, political knowledge, political affiliation and government performance.

Novelty/Originality of this study: This study examines how social media has become a catalyst that expands the space for online political participation, while also offering a new perspective on the influence of algorithms and digital interaction patterns on the intensity and quality of users' political engagement.

Exploring the Effectiveness of Modern Agricultural Technology for Farmers for the Green Revolution

Jennelyn Espinueva, Sovanborey Oy, Sophal Var — Sat, 10 May 2025 00:00:00 +0700

Purpose of the study: This study aims to determine the extent of effectiveness of modern agricultural technology among farmers.

Methodology: This research employs a quantitative descriptive method to assess farmers' perceptions and experiences in utilizing modern agricultural technology. Data were collected through surveys distributed to selected farmers in Barangay Butong. The gathered data were analyzed using statistical tools to determine the level of effectiveness and the correlation between demographic factors and technology adoption.

Main Findings: The results indicate that while modern agricultural technology has contributed to improved farming practices, its effectiveness is still influenced by farmers' knowledge, financial capacity, and access to support services. The study found a low positive correlation between age and family income with the effectiveness of modern agricultural technology, whereas gender showed a very low negative correlation. These findings suggest that while technology provides potential benefits, its impact is not uniform among farmers.

Novelty/Originality of this study: The novelty of this study lies in its localized assessment of modern agricultural technology's effectiveness, focusing on Barangay Butong. Unlike previous studies that examine broader agricultural trends, this research provides insights into specific barriers and opportunities faced by small-scale farmers in adopting technological advancements.

The Influence of Android-Based Augmented Reality Learning Media on Student Learning Outcomes in Atomic Model Material

Syamiluddin Syamiluddin, Roel Ang, Alvic Torres, Edwin Auditor — Sat, 10 May 2025 18:57:56 +0700

Purpose of the study: This study aims to determine the effect of Android-based augmented reality (AR) learning media on student learning outcomes in atomic model material.

Methodology: This study is a quantitative study with a quasi-experimental design using a one-shot case study approach. The research sample consisted of 70 grade X students at State Senior High School 29 Jakarta who were given treatment in the form of learning using Android-based augmented reality media. The research instrument was in the form of multiple-choice objective posttest questions that had been validated and equipped with grids. Data analysis was carried out using a simple linear regression test to determine the effect of the use of augmented reality media on student learning outcomes.

Main Findings: The results of the analysis show that Android-based augmented reality media has a significant influence on student learning outcomes with a significance value of 0.000 (<0.05) and a coefficient of determination (R²) of 0.453. This shows that 45.3% of the variation in student learning outcomes can be explained by the use of augmented reality media. This media helps students understand the abstract concept of the atomic model more visually and interactively.

Novelty/Originality of this study: This research is part of a further research (dissemination) that tests the effectiveness of previously developed Android-based augmented reality media. The uniqueness of this research lies in the focus of its implementation on abstract chemical material and the use of experimental design in a real learning environment.