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30,411 Article Results

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

Playing catch-up: Vietnamese rural student voices on bridging academic marginalization

10.11591/ijere.v14i4.32663
Danh Cong Vu , Phuong Thanh Nguyen
The increasing adoption of English as the instructional language in Vietnamese higher education has created significant learning barriers for rural students. Their under-resourced schools and a communicative English-neglected curriculum provided limited foundations prior to engaging in lectures, presentations, and discussions now conducted exclusively in academic English. Rural students often face significant challenges when transitioning into this demanding academic environment due to their limited prior exposure to English and the disparities in educational resources between rural and urban areas, yet there is limited understanding of their experiences and coping mechanisms. This study examines the challenges faced by rural Vietnamese undergraduate English majors and investigates their coping strategies in achieving academic competency. Using semi-structured interviews, this case study investigated three Vietnamese undergraduate English majors from low-income, rural backgrounds at an urban university. The findings revealed two key dimensions: i) participants initially experienced significant challenges including skill deficits across all language domains and identity struggles manifesting as feelings of inadequacy and isolation and ii) students developed a comprehensive set of coping strategies encompassing language learning, social support, and psychological adaptation. The study highlights the necessity of implementing multi-dimensional support systems that address not only language learning but also social and psychological aspects of academic adaptation. Such comprehensive support, through precision language education, can promote more equitable access and inclusion in language education.
Volume: 14
Issue: 4
Page: 3304-3314
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

Hope and grit: the driving forces behind student-athletes’ motivation in sports and academics

10.11591/ijere.v14i4.32916
Jet C. Longakit , Joseph Lobo , Teejay Panganiban , Jay Mark D. Sinag , Elvie F. Celestial , Janice D. Ballera
While the challenges student-athletes face in balancing academics and sports have garnered increasing attention, few studies have explored how factors like hope and grit contribute to this balance and enhance motivation. This study investigated the relationship between hope, grit, and motivation of academic and sports of student-athletes. A total of 247 student-athletes of Mindanao State University-Iligan Institute of Technology (MSU-IIT) answered a set of questionnaires assessing grit, dispositional hope, and student-athletes motivation towards sports and academics with the age range of 18-24 years old. Ethical approval was gained from the participants. The results showed that factors of hope (agency and pathways) and grit (consistency of interest or COI and perseverance of effort or POE) were significant predictors of motivation in sports and academics. This suggests that student-athletes with higher levels of hope and grit demonstrate increased motivation in both domains. These results could offer a more valuable insights for coaches, educators, and sports psychologist striving to support the long-term success and wellbeing of student-athletes.
Volume: 14
Issue: 4
Page: 2574-2583
Publish at: 2025-08-01

Incremental prioritization using an iterative model for smallscale systems

10.11591/ijict.v14i2.pp565-574
Ameen Shaheen , Wael Alzyadat , Aysh Alhroob , A. Nasser Asfour
To improve customer satisfaction during the requirement engineering process and create higher consistency in the developed software, there is a growing trend toward the development and delivery of software in an incremental manner. This paper introduces a novel approach to prioritizing the initial development of core subsystems. This prioritization ensures that the most critical subsystems, which contribute significantly to the project’s overall success, are addressed first. Our method involves employing an incremental model with iterative modeling, where each subsystem is assigned a profitability score ranging from 1 to 10. The iterative model is then utilized to identify the most suitable subsystem for the next development stage. The results of our study indicate that utilizing the total profit weight in conjunction with the iterative model effectively identifies the central subsystem of the entire project. This approach proves to be the optimal starting point for development, helping streamline the process and contribute to a more efficient software delivery strategy.
Volume: 14
Issue: 2
Page: 565-574
Publish at: 2025-08-01

Machine learning in detecting and interpreting business incubator success data and datasets

10.11591/ijict.v14i2.pp446-456
Mochammad Haldi Widianto , Puji Prabowo
This research contributes to creating a proposed architectural model by utilizing several machine learning (ML) algorithms, heatmap correlation, and ML interpretation. Several algorithms are used, such as K-nearest neighbors (KNN) to the adaptive boosting (AdaBoost) algorithm, and heatmap correlation is used to see the relationship between variables. Finally, select K-best is used in the results, showing that several proposed model ML algorithms such as AdaBoost, CatBoost, and XGBoost have accuracy, precision, and recall of 94% and an F1-score of 93%. However, the computing time the best ML is AdaBoost with 0.081s. Then, finally, the proposed model results of the interpretation of AdaBoost using select K-best are the best features “last revenue” and “first revenue” with k feature values of 0.58 and 0.196, these features influence the success of the business. The results show that the proposed model successfully utilized model classification, correlation, and interpretation. The proposed model still has weaknesses, such as the ML model being outdated and not having too many interpretation features. The future research might maximize with ML models and the latest interpretations. These improvements could be in the form of ML algorithms that are more immune to data uncertainty, and interpretation of results with wider data.
Volume: 14
Issue: 2
Page: 446-456
Publish at: 2025-08-01

Communication and collaboration competence within the digital competence framework: a bibliometric analysis

10.11591/ijere.v14i4.32183
Hue Hong Cao , Lai Thai Dao , Trung Tran , Huyen Thi Thanh Nguyen
This paper evaluates the development of research on communication and collaboration competence within the digital competence framework (CCC-DCF), an increasingly vital area in the digital era. Bibliometric techniques were applied to analyze 449 articles published in the Scopus database from 2000 to 2023. Using VOSviewer and Biblioshiny, publication trends were tracked, leading journals and high-productivity countries identified, as well as collaboration networks, prominent scholars, most-cited documents, and frequently used keywords. Our analysis revealed a steady increase in publications over the past 23 years, with a notable surge in the last 3 years due to the fourth industrial revolution and the COVID-19 pandemic. MDPI AG was the leading publisher, with the United States and Spain as the top-producing countries. Diana Andone and Mark Frydenberg were the most prolific authors, and the British Journal of Educational Technology was the most cited journal. The study also explored collaborations among authors and countries through visualization analysis. Key frequently appearing terms included digital competences, higher education, information and communication technologies, and collaborative learning. This research forms a basis for future studies to enhance communication and collaboration competence in the digital environment for students. It also provides policymakers and researchers with key authors and impactful studies for further exploration.
Volume: 14
Issue: 4
Page: 2652-2665
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

Deep learning for grape leaf disease detection

10.11591/ijict.v14i2.pp653-662
Pragati Patil , Priyanka Jadhav , Nandini Chaudhari , Nitesh Sureja , Umesh Pawar
Agriculture is crucial to India's economy. Agriculture supports almost 75% of the world's population and much of its gross domestic product (GDP). Climate and environmental changes pose a threat to agriculture. India is recognized for its grapes, a commercially important fruit. Diseases reduce grape yields by 10-30%. If not recognized and treated early, grape diseases can cost farmers a lot. The main grape diseases include downy and powdery mildew, leaf blight, esca, and black rot. This work creates an Android grape disease detection app which uses machine learning. When a farmer submits a snapshot of a diseased grape leaf, the smartphone app identifies the ailment and offers grape plant disease prevention tips. In this research, an android app that detects grape plant illnesses use convolutional neural network (CNN) and AlexNet machine learning architectures. We investigated and compared CNN and AlexNet architecture's efficacy for grape disease detection using accuracy and other metrics. The dataset used comes from Kaggle. CNN and AlexNet architectures yielded 98.04% and 99.03% accuracy. AlexNet was more accurate than CNN in the final result.
Volume: 14
Issue: 2
Page: 653-662
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

Enhancing logo security: VGG19, autoencoder, and sequential fusion for fake logo detection

10.11591/ijict.v14i2.pp506-515
Debani Prasad Mishra , Prajna Jeet Ojha , Arul Kumar Dash , Sai Kanha Sethy , Sandip Ranjan Behera , Surender Reddy Salkuti
This paper deals with a way of detecting fake logos through the integration of visual geometry group-19 (VGG19), an autoencoder, and a sequential model. The approach consists of applying the method to a variety of datasets that have gone through resizing and augmentation, using VGG19 for extracting features effectively and autoencoder for abstracting them in a subtle manner. The combination of these elements in a sequential model account for the improved performance levels as far as accuracy, precision, recall, and F1-score are concerned when compared to existing approaches. This article assesses the strengths and limitations of the method and its adapted comprehension of brand identity symbols. Comparative analysis of these competing approaches reveals the benefits resulting from such fusion. To sum up, this paper is not only a major contribution to the domain of counterfeit logo detection but also suggests prospects for enhancing brand security in the digital world.
Volume: 14
Issue: 2
Page: 506-515
Publish at: 2025-08-01

Financial literacy of secondary school teachers in the Department of Education–Division of La Union

10.11591/ijere.v14i4.32038
Mary Grace P. Paneda , Eduard M. Albay
Understanding the financial literacy of public secondary teachers is vital in promoting financial well-being for both educators and students. Using an adapted questionnaire as the main data-gathering tool, this descriptive study investigated the extent of financial literacy of public secondary teachers from a municipality in the Philippines across various aspects like knowledge, management, credit, savings, investments, and challenges they encountered. The results revealed that teachers often face difficulties and constraints with financial management, budgeting, and investing. The teachers indicated a low level of financial literacy due to their limited understanding of and ineffective strategies in utilizing various financial skills and concepts.
Volume: 14
Issue: 4
Page: 2521-2529
Publish at: 2025-08-01

Mapping the intellectual structure of mobile gaming in education: insights from bibliometric methods

10.11591/ijere.v14i4.32988
Lim Seong Pek , Rita Wong Mee Mee , Fatin Syamilah Che Yob , Walton Wider , Cathy Mae Toquero , Karen Joy Brillo Talidong
Mobile gaming in education encompasses using games on mobile devices to achieve educational goals, offering an interactive platform that can make learning more engaging and accessible. This study addresses the gap in understanding how mobile gaming can enhance educational outcomes by mapping the intellectual landscape of mobile gaming research in education through bibliometric methods. The problem is the growing need to adapt educational tools to students’ digital preferences, balancing engagement with academic rigor. A total of 247 articles were identified from the Web of Science (WoS) database. Through co-citation and co-occurrence analyses, the study identifies influential research themes and emerging trends, such as gamification, serious games, and augmented reality. The findings demonstrate that mobile gaming fosters engagement in promoting motivation and supporting problem-solving skills in educational contexts. However, it also highlights the importance of aligning mobile gaming with curriculum objectives and ensuring instructor readiness, supporting sustainable development goal 4: quality education, which aims to improve inclusive and equitable learning outcomes. It identifies emerging trends, including serious games, technology acceptance models, and the use of augmented reality in educational settings. This study provides a significant impact for educators and researchers seeking to incorporate mobile gaming into educational settings actively. The study suggests a balanced approach to mobile gaming, ensuring its introduction enhances educational goals while minimizing the potential for distraction, fostering innovation in line with sustainable development goal 9: industry, innovation, and infrastructure.
Volume: 14
Issue: 4
Page: 2956-2965
Publish at: 2025-08-01

Navigating the practice teaching odyssey: unveiling the well-being dynamics of student teachers

10.11591/ijere.v14i4.32798
Trixie E. Cubillas , Maricel D. Tabao , Jascha Kaye S. Cabalan , Kristienah Sastha D. Baron
Despite the growing emphasis on student well-being in educational policy and practice, there remains a need for more consensus on which domains should be studied, resulting in fragmented research. This study addresses this issue by gauging the well-being of student teachers at Caraga State University-Main Campus, Philippines, focusing on cognitive, psychological, social, and material dimensions based on the Organization for Economic Co-operation and Development (OECD) Programme for International Student Assessment (PISA) framework. The study employed descriptive-correlational research design and data were collected from 62 Bachelor of Elementary Education (BEEd) and 66 Bachelor of Secondary Education (BSEd) major in Science student teachers using stratified random sampling. Analysis methods included frequency counts, percentages, weighted means, independent sample T-test, and Pearson product-moment correlation. Results showed that most participants were female and from the BEEd program. Significant differences in well-being were found based on gender, while no significant differences were observed between the programs. Cognitive well-being was associated with psychological and social well-being, and material well-being was significantly linked to both psychological and social well-being. Proposed interventions include financial support, social network enhancement, and academic engagement promotion. These findings present novel insights into the importance of financial aid and robust social networks in improving student teachers’ well-being and academic success.
Volume: 14
Issue: 4
Page: 2530-2538
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
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