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29,939 Article Results

Study on parental involvement in Vietnamese primary students’ learning: insights from the era of educational reform

10.11591/ijere.v14i4.32897
Thi Hong Hanh Van , Xuan Quang Tran , Thi Phuong Vy Nguyen , Thai Hung Le
In light of Vietnam’s recent educational reforms emphasizing competency-based learning, this research explores how Vietnamese parents engage in their children’s education and the relationship between this involvement and students’ academic performance. Employing both quantitative (surveys) and qualitative (interviews) methods, the study focuses on three critical aspects of parenting and the family environment, based on Epstein’s theory: communication between parents and teachers, volunteering, and collaboration with the community. Quantitative data, analyzed using SPSS software, revealed the frequency of parental involvement activities, providing a comprehensive picture of both common and less frequent activities. Pearson correlation results confirmed a positive relationship between active parental involvement and student performance. The qualitative findings further highlight the challenges parents face when engaging in their children’s education and offer suggestions for improving parental participation. Overall, the paper provides valuable insights into the dynamics of parental involvement in Vietnamese schools and proposes practical, contextually appropriate solutions to enhance educational quality by strengthening cooperation between schools and parents.
Volume: 14
Issue: 4
Page: 2487-2499
Publish at: 2025-08-01

Unveiling the role of critical thinking in education: regional analysis and predictive factors

10.11591/ijere.v14i4.33234
Muhammad Aizri Fadillah , Yul Ifda Tanjung , Usmeldi Usmeldi , Festiyed Festiyed
Despite its recognized importance, the role of critical thinking (CRIT) in promoting authentic problem-solving (APS), collaborative learning (COL), creative thinking (CRET), and knowledge creation efficacy (KCE) in different regional contexts still needs to be investigated. This study uses partial least squares-structural equation modeling (PLS-SEM) and partial least squares-multi group analysis (PLS-MGA) to evaluate the effect of CRIT on these skills and compare the effect between municipality and regency, using data from 431 high school students in Indonesia. The Ranger algorithm identified the main predictors of the impact of CRIT on the other skills. The findings revealed that CRIT significantly improved the impacts of these skills, with no significant differences between regions. The ability to provide sound reasoning and consider diverse perspectives were the main predictors. This study contributes to the relatively under-attended area of CRIT in Indonesian education by highlighting its important role in skills development.
Volume: 14
Issue: 4
Page: 2640-2651
Publish at: 2025-08-01

How digital platforms improve teaching: comparing teacher performance across Peru

10.11591/ijere.v14i4.32562
Yurfa Carolina Medina-Bedón , Liliana Asuncion Sumarriva-Bustinza , Mery Jesús Arias Huánuco , Hugo Augusto Carlos-Yangali , Gladys Margarita Espinoza-Herrera , Luis Donato Araujo-Reyes , Maura Natalia Alfaro-Saavedra , Yeni Yauri-Huiza , Zaida Olinda Pumacayo-Sanchez , Karina Eddmy Madrid-Gómez
This study addresses the challenge of enhancing pedagogical content knowledge (PCK) performance among primary education teachers in Peru, particularly in the context of increasing reliance on digital platforms. With significant regional and demographic disparities in access to digital resources, this research aims to evaluate the effectiveness of digital platforms in supporting teaching practices. Using a quantitative, cross-sectional design, the study analyzed data from the 2022 national unique test (PUN), which assesses cognitive and pedagogical skills among teachers, and a digital platform integration questionnaire (DPIQ) administered to 2,000 teachers. The findings revealed a positive correlation between digital platform usage and PCK performance, with younger and female teachers demonstrating higher scores. Urban teachers also outperformed their rural counterparts, highlighting regional disparities in digital access. The study concludes that integrating digital platforms into teaching practices can enhance PCK performance, but there is a need for targeted professional development and investment in digital infrastructure, particularly in underserved areas. Addressing these disparities is crucial to ensuring that all teachers can benefit from digital advancements, ultimately improving educational outcomes.
Volume: 14
Issue: 4
Page: 2966-2978
Publish at: 2025-08-01

Using Canva and Microsoft Teams to support students’ writing tasks

10.11591/ijere.v14i4.27985
Wan Zahidah Wan Sulaiman , zuraina ali , Zarina Mohd Ali , Shahid Hussain Shahid , Muhammad Ishtiaq , Norsuhaily Abu Bakar
Teachers and students face difficulties in remote learning. These difficulties can be greatly reduced by utilizing applications, such as Microsoft Teams (MS Teams) and Canva. This study investigates the effectiveness of using Canva and MS Teams as helpful resources for students assigned to write informative speech essays. Employing a sequential explanatory research design in a mixed-method approach, the study involved sixteen English majors from a private university located on Malaysia’s East Coast. Students used MS Teams to complete pre-and post-tests, and afterward, interviews were held to learn more about how they felt about using Canva. The pre and post-tests showed that students improved their writing abilities when using MS Teams since they had a chance to collaborate with their peers and teachers. Qualitative findings also revealed that online learning environments promoted interaction between students and teachers and between students and their peers. The results suggest that incorporating web tools like MS Teams and Canva could enhance students’ learning experience as they complete their writing projects. Overall, this study highlights the potential benefits of incorporating web technologies into the writing process and underscores the importance of seeking student feedback to improve the effectiveness of these tools.
Volume: 14
Issue: 4
Page: 3295-3303
Publish at: 2025-08-01

Task-based material design in Japanese tour guide courses: fostering adaptability and sustainable learning

10.11591/ijere.v14i4.31736
Qiannan Liu , Bee Eng Wong , Richard Peter Bailey
The rapid growth of international tourism has significantly increased the number of Chinese visitors to Japan and vice versa, leading to a heightened demand for tour guides fluent in Japanese. However, the lack of specialized Japanese tour guide courses in Chinese undergraduate tourism programs has resulted in a shortage of qualified professionals. Therefore, developing teaching materials that support the learning of Japanese among Chinese students aiming to become fluent tour guides is essential to fill this gap. This study aims to develop and evaluate task-based teaching materials designed to enhance trainees’ oral communication skills and professional adaptability for the Japanese tour guide purpose (JTGP) in real-world guiding scenarios. The task-based material design approach proposed in this research focuses on improving students’ Japanese oral tour guide abilities while fostering adaptability and sustainability in their learning. The study was conducted with tourism students from Ningxia University Xinhua College, utilizing tests, semi-structured interviews, and observational data. Action research was employed to optimize the Japanese task-based materials, ensuring that they effectively promote language development while also targeting the cultivation of adaptability and sustainability of learning. The results indicate a strong student interest in the task-based courses, particularly the interactive elements, which have significantly enhanced their adaptability to the tour guide role and capacity for sustainable development thinking.
Volume: 14
Issue: 4
Page: 3234-3248
Publish at: 2025-08-01

Validity and reliability “K² REBT” group counseling module depression among students

10.11591/ijere.v14i4.32133
Nor Asikhin Ishak , Nurul Huda Ishak , Mohamad Sukeri Khalid
Depression among teenagers, especially students, is an increasing concern with serious consequences, including criminal behavior and suicide. This study develops a rational emotive behavior therapy (REBT) counseling module aimed at reducing irrational beliefs and enhancing the cognitive, emotional, and behavioral well-being of depressed students. The module comprises four sub-modules: self-acceptance, feelings, beliefs, and challenging, based on established REBT principles. The 30 students diagnosed with depression participated in reliability testing, while content validity was assessed by five experts, yielding a high validity quotient of 0.930. The module’s reliability was confirmed with a Cronbach’s alpha of 0.964, indicating strong internal consistency. These findings suggest that the REBT Module is a highly valid and reliable tool for improving coping strategies and alleviating depression among students, making it a valuable addition to school counseling programs.
Volume: 14
Issue: 4
Page: 3065-3077
Publish at: 2025-08-01

Driving school program to strengthening anti-corruption education within the integrity zone policy

10.11591/ijere.v14i4.28773
Suyadi Suyadi , Zalik Nuryana , Anom Wahyu Asmorojati , Anton Yudhana
For an extended period, education institutions have functioned independently, resulting in a notable disparity in educational quality. The Merdeka Belajar Kampus Merdeka (MBKM) promotes collaboration between educational institutions and schools, with the aim of serving as mentors for joint program development. This groundbreaking research delves deeply into the pivotal roles played by both lecturers and students within the MBKM program. They emerge as mentors in the crusade for implementing anti-corruption education within the dynamic context of Sekolah Penggerak, also known as the driving school program (DSP). Conducted as a qualitative descriptive study, this research draws its data from the collaborative efforts between higher education institutions and schools in developing anti-corruption education, leading to recognition from the Indonesian Corruption Eradication Commission (KPK-RI). The data collection process unfolds through a meticulously orchestrated combination of observations, in-depth interviews, and thorough documentation. The findings of this study are nothing short of transformative, as they underscore how the active involvement of MBKM’s lecturers and students in anti-corruption education serves as a potent catalyst, reinforcing the integrity zone policy within the DSP program. This seamless integration of anti-corruption education with Islamic education, encompassing profound concepts like riswah (bribery), ghulul (betrayal), and mukabarah-ghasab (seizing), represents a paradigm shift in pedagogical strategies.
Volume: 14
Issue: 4
Page: 2722-2731
Publish at: 2025-08-01

The self-efficacy of education students in understanding materials and mathematical problem-solving

10.11591/ijere.v14i4.28223
Baiduri Baiduri , Usmiyatun Usmiyatun
The present study investigates the self-efficacy (SE) of education students concerning their understanding of educational materials and mathematical problem-solving skills. SE, a crucial motivational construct, plays a vital role in academic achievement and cognitive development. The research employed a quantitative approach, utilizing a structured questionnaire to collect data from 155 mathematics education students and 67 biology education students. The questionnaire using a Likert-type scale comprised two main sections: one assessing SE beliefs related to understanding educational materials and the other focusing on SE beliefs associated with mathematical problem-solving. The data analysis was performed using descriptive and inferential statistical methods, including correlation analysis and independent t-tests by JASP 0.16.3.0. The findings provide valuable insights into the SE of education students in the context of different disciplines. The study reveals the overall SE levels of mathematics and biology education students in understanding educational materials and mathematical problem-solving are moderate level. There is no significant relationship between the SE of mathematics and biology education students in understanding materials and mathematical problem-solving. However, there are significant differences in SE for both understanding materials and mathematical problem-solving between the two groups. The implications of these findings for instructional practices are discussed.
Volume: 14
Issue: 4
Page: 2628-2639
Publish at: 2025-08-01

Formation of key skills of the XXI century in the educational practice of a teacher

10.11591/ijere.v14i4.32968
Saltanat Beissembayeva , Zhanar Oshakbayeva , Gulfairuz Yerkibayeva , Karlygash Babayeva , Selime Chakanova
This study addresses the pressing need to develop key XXI century skills among teachers to effectively navigate the contemporary educational challenges that they are facing. Through interviews with 86 educators from Kazakh pedagogical universities, we identified several essential competencies, including digital literacy, critical thinking and collaboration, as being fundamental for successful teaching in modern contexts. The research proposes a multifaceted approach, employing innovative strategies such as active learning, project-based learning, and collaborative techniques, to seamlessly integrate these skills into the curriculum. The findings indicate that these methods not only enhance students’ practical experiences but also foster a supportive learning environment conducive to creativity and effective problem-solving. The study concludes by emphasizing the vital role of continuous professional development for teachers, ensuring they can adapt their pedagogical practices in response to the rapidly evolving demands of education today.
Volume: 14
Issue: 4
Page: 3125-3134
Publish at: 2025-08-01

Novel framework for downsizing the massive data in internet of things using artificial intelligence

10.11591/ijai.v14.i4.pp2613-2621
Salma Firdose , Shailendra Mishra
The increasing demands of large-scale network system towards data acquisition and control from multiple sources has led to the proliferated adoption of internet of things (IoT) that is further witnessed with massive generation of voluminous data. Review of literature showcases the scope and problems associated with data compression approaches towards massive scale of heterogeneous data management in IoT. Therefore, the proposed study addresses this problem by introducing a novel computational framework that is capable of downsizing the data by harnessing the potential problem-solving characteristic of artificial intelligence (AI). The scheme is presented in form of triple-layered architecture considering layer with IoT devices, fog layer, and distributed cloud storage layer. The mechanism of downsizing is carried out using deep learning approach to predict the probability of data to be downsized. The quantified outcome of study shows significant data downsizing performance with higher predictive accuracy.
Volume: 14
Issue: 4
Page: 2613-2621
Publish at: 2025-08-01

Indonesian tenth graders’ academic self-efficacy and English achievement admitted through zoning and achievement schemes

10.11591/ijere.v14i4.29110
Hartono Hartono , Ruseno Arjanggi , Kurniawan Yudhi Nugroho
The zone-based new student admission scheme for lower and secondary public schools has significantly changed education practices, not only in the admission policy but also in the teaching and learning practices. This study aims to describe and compare academic self-efficacy and the achievement of Indonesian tenth-graders admitted through the zoning and achievement admission schemes. Five public senior high schools were purposively selected as samples to represent different clusters of school preferences before the zoning scheme was implemented. Data were collected through an academic self-efficacy questionnaire specially prepared for the study and an achievement test conducted by the classroom teachers. A total of 483 tenth graders completed the questionnaire and an English achievement test; among them, 74.3% were admitted through the zoning scheme, 17.6% were through the achievement scheme, and the remaining 8.1%, were through affirmation, transfer of parent’s job, and other schemes. Data were analyzed descriptively and inferentially using SPSS. The tenth graders had a high level of academic self-efficacy. However, there was a significant difference in academic self-efficacy and English achievement between the tenth graders admitted through the zoning scheme and those admitted through the achievement scheme. The causes of the difference and the implications are discussed.
Volume: 14
Issue: 4
Page: 2500-2509
Publish at: 2025-08-01

Researching creativity in education from ASEAN countries: bibliometric analysis

10.11591/ijere.v14i4.33669
Tuan-Vinh Nguyen , Viet-Nhi Tran
Creativity has emerged as a cornerstone of 21st-century education, particularly within Association of Southeast Asian Nations (ASEAN) countries striving to foster innovation and knowledge-based economies. This bibliometric study examines 453 publications on creativity in education across ASEAN from 2000 to 2024, utilizing Scopus data analyzed through Biblioshiny and VOSviewer. The findings reveal Indonesia as the dominant contributor (65% of publications), with scholars like Zubaidah and Corebima making significant contributions through highly cited works. Key journals, including “Thinking Skills and Creativity” and the “International Journal of Instruction”, have played crucial roles in disseminating ASEAN research globally. The thematic analysis identifies five major clusters centered on science, technology, engineering, and mathematics (STEM) integration, project-based learning, digital technologies, research methodologies, and professional development. Temporal network analysis demonstrates an evolution from discipline-specific approaches toward broader conceptualizations of creativity and an increased emphasis on technological integration. Despite these advances, the study identifies persistent challenges in cross-national collaboration, methodological consistency, and longitudinal research. This analysis provides strategic insights for educators, researchers, and policymakers in aligning educational practices with regional innovation goals while highlighting the need for enhanced research collaboration and standardized assessment tools.    
Volume: 14
Issue: 4
Page: 2593-2604
Publish at: 2025-08-01

Exploring ICT competency and communication preferences in higher education: insights from Croatia

10.11591/ijere.v14i4.33513
Hrvoje Budić , Marko Šostar , Arnaldo Ryngelblum
The digital transformation of education underscores the need for effective integration of information and communication technologies (ICT) in higher education. This study examines differences in ICT usage between teaching staff and students across various types of higher education institutions in Croatia, focusing on the impact of institution type and academic programs on ICT usage levels, digital competencies, and communication preferences. A quantitative research approach was employed, with data collected via a survey distributed to 70 teaching staff and 472 students using random sampling from public universities, public polytechnics, and private higher education institutions. The results reveal significant disparities in digital competencies, with students in private institutions demonstrating higher ICT usage compared to public institutions. Additionally, both groups favor synchronous communication (SC), although students display a stronger preference. These findings highlight a digital divide within academia and the need for targeted ICT training, particularly in public institutions. The study proposes measures to enhance ICT infrastructure and develop digital competencies through systematic workshops and training sessions. This research emphasizes the importance of addressing digital inequalities and improving the quality of education by integrating advanced technological solutions in higher education.
Volume: 14
Issue: 4
Page: 2931-2944
Publish at: 2025-08-01

Cyber-physical resilience system for anomaly detection in industrial environments

10.11591/ijict.v14i2.pp497-505
Debani Prasad Mishra , Rakesh Kumar Lenka , Rampa Sri Sai Yagyna Duthsharma , Pavan Kumar , Lakshay Bhardwaj , Surender Reddy Salkuti
This work explores the topic of cybersecurity in the context of electric vehicles (EVs). It ensures the resilience of cyber-physical systems against anomalies, which is paramount for maintaining operational efficiency and safety. This paper presents a cyber-physical resilience system (CPRS) customized for anomaly detection. Maintaining operational efficiency and safety in today’s networked industrial contexts requires that cyber-physical systems be resilient to abnormalities. With an emphasis on EVs, this research introduces a unique CPRS designed for anomaly detection in industrial settings. By utilizing the combination of digital and physical elements, the CPRS uses sophisticated monitoring and reaction systems to identify and address irregularities instantly. The process includes creating algorithms for anomaly detection and putting in place a framework that is responsive enough to change with the dangers that it faces. The efficiency of the CPRS in detecting unusual behaviors in EVs is demonstrated by experimental findings, which also improve the overall resilience of the system. Moreover, the research’s ramifications go beyond EVs to include a variety of industrial settings, providing valuable information for the development and execution of resilient cyber-physical systems. This paper highlights the significance of proactive resilience measures in protecting critical infrastructure and advances anomaly detection approaches.
Volume: 14
Issue: 2
Page: 497-505
Publish at: 2025-08-01

HepatoScan: Ensemble classification learning models for liver cancer disease detection

10.11591/csit.v6i2.p167-175
Tella Sumallika , Raavi Satya Prasad
Liver cancer is a dangerous disease that poses significant risks to human health. The complexity of early detection of liver cancer increases due to the unpredictable growth of cancer cells. This paper introduces HepatoScan, an ensemble classification to detect and diagnose liver cancer tumors from liver cancer datasets. The proposed HepatoScan is the integrated approach that classifies the three types of liver cancers: hepatocellular carcinoma, cholangiocarcinoma, and angiosarcoma. In the initial stage, liver cancer starts in the liver, while the second stage spreads from the liver to other parts of the body. Deep learning is an emerging domain that develops advanced learning models to detect and diagnose liver cancers in the early stages. We train the pre-trained model InceptionV3 on liver cancer datasets to identify advanced patterns associated with cancer tumors or cells. For accurate segmentation and classification of liver lesions in computed tomography (CT) scans, the ensemble multi-class classification (EMCC) combines U-Net and mask region-based convolutional network (R-CNN). In this context, researchers use the CT scan images from Kaggle to analyze the liver cancer tumors for experimental analysis. Finally, quantitative results show that the proposed approach obtained an improved disease detection rate with mean squared error (MSE)-11.34 and peak signal-to-noise ratio (PSNR)-10.34, which is high compared with existing models such as fuzzy C-means (FCM) and kernel fuzzy C-means (KFCM). The classification results obtained based on detection rate with accuracy-0.97%, specificity-0.99%, recall-0.99%, and F1S-0.97% are very high compared with other existing models.
Volume: 6
Issue: 2
Page: 167-175
Publish at: 2025-07-01
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