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31,456 Article Results

Students’ and teachers’ perceptions and experiences of using social media in learning foreign languages

10.11591/ijere.v14i6.34732
Le Thanh Nguyet Anh , Bui Thanh Tinh , Nguyen Van Canh
The benefits of social media applications have emerged as an advancement in teaching and learning foreign languages. However, it falls short of studies investigating the perspectives and experiences of educators and learners about social media usage in Vietnamese tertiary education contexts in rural areas. Therefore, this study examined the perceptions and experiences of teachers and students regarding the application of social media in foreign language learning at a university in the Mekong Delta, Southern Vietnam. The study was conducted with the participation of 199 students and 20 teachers. This study employed a mixed-methods approach, collecting data from questionnaires, and an in-depth interview. The findings showed that most teachers and students had a positive attitude towards applying this mode to teaching and learning foreign languages. However, they indicated some problems when utilizing those methods. Additionally, they suggested some measures for blending direct teaching and learning with social media based on their experience. The research results provided more insights into this field in the literature, especially in local settings.
Volume: 14
Issue: 6
Page: 5197-5208
Publish at: 2025-12-01

Unveiling the emotional labor of overseas Filipino international teachers

10.11591/ijere.v14i6.34579
Leomar O. Baylosis , Ivy F. Amante , Rovy M. Banguis , Aldin Paul S. Genovia , Shem A. Cedeño
Emotional labor at work typically manifests through surface acting and deep acting. This phenomenological study examines the emotional labor experienced by 15 international Filipino teachers working in the United States, Saudi Arabia, and Thailand. Guided by self-determination theory (SDT), the research explores their reasons for teaching abroad, as well as the challenges they face and how they navigate them emotionally. A qualitative design was employed using semi-structured interviews and framed narratives. Each participant engaged in one individual interview and one focus group discussion. Data were analyzed using interpretative phenomenological analysis (IPA) to generate key themes. Findings show that deep acting involves emotional control, display of positive emotions, emotional exhaustion, experience of negative emotions, and emotional indifference toward self. In contrast, surface acting includes masking emotions, projecting artificial feelings, and withdrawal behaviors. The five major themes emerged as contributing factors to emotional labor: cultural adjustment, language barrier, professional challenges, limited support networks, and work-life balance. Coping strategies identified include emotional regulation, positive cognitive response, support from family and peers, and participation in recreational activities. These nuanced findings offer important insights for international teacher preparation, emotional well-being, and future research on cross-cultural educational contexts.
Volume: 14
Issue: 6
Page: 4628-4637
Publish at: 2025-12-01

Perceptions of audiovisual media in vocabulary acquisition among English learners: benefits and challenges

10.11591/ijere.v14i6.34852
Xuan Hong Nguyen Thi , Thanh Thai Nguyen
Learning vocabulary through English audiovisual materials has long been a popular method among students. With the advancement of digital technology, this approach has gained even more attraction, leading to a growing number of studies that have investigated its effectiveness. However, there is a notable scarcity of research addressing the challenges that students face; therefore, the current study aims to explore students’ perspectives on the challenges along with the benefits of using audiovisual media as tools for learning vocabulary. This study was done through a quantitative approach using a questionnaire that included both open-ended and closed-ended questions. With the participation of 132 senior English-major students at Thu Dau Mot University in Vietnam, the study collected 117 valid questionnaires that provided valid data for analysis. Through descriptive statistics, the results reveal the improvements in pronunciation and listening skills, enhanced understanding of slang and idiomatic expressions, and increased exposure to the natural use of the target language. However, the findings also reveal that this method poses challenges for students, including misunderstandings stemming from the use of formal or informal language and an over-reliance on audiovisual media. Therefore, the study emphasizes the need for structured guidance to foster language learning outcomes.
Volume: 14
Issue: 6
Page: 5209-5218
Publish at: 2025-12-01

Optimizing resume information extraction through TSHD segmentation and advanced deep learning techniques

10.11591/ijeecs.v40.i3.pp1453-1465
Anmar Abuhamdah , Mohammed Al-Shabi , Sana Jawarneh
This research focuses on a significant factor in the natural language processing area, which is extracting information from unstructured textual data through efficient methods in order to pull useful insights and structured representations from this data. This research attempts to boost the effectiveness of information retrieval systems through computational analysis. This paradigm is explored in this work using question answering models in an extractive style, a modern information extraction approach, creating a new methodology combining the topic segmentation based on headings detection (TSHD) segmentation algorithm and deep learning methods. The TSHD algorithm breaks documents into sections in which certain topics are addressed. Refined extraction models are then used to process these disjoint segments leading to more accurate and contextjudicious extraction compared to naive whole-document extraction approaches. We empirically validate this approach using the stanford question answering dataset (SQuAD) 1.1 dataset, with a specific adaptation to resumes. Experimental results show that the performance metrics increase by 7.4% in exact match (EM) and by 7.8% in F1-score. This can be concluded from these results illustrating the feasibility of the proposed approach in the automated information extraction frameworks such as resume processing.
Volume: 40
Issue: 3
Page: 1453-1465
Publish at: 2025-12-01

Explore activities management to support the care and education of public preschools

10.11591/ijere.v14i6.33235
Thuan Van Pham , LongAn Dang Nguyen
This study aims to explore the contents of the management of support activities for care and education, as well as the impacts of these activities on improving the quality of support and care for children in public preschools in Thu Duc city, Vietnam. To achieve this purpose, qualitative and quantitative research methods were used through the evaluation of relevant documents. At the same time, a survey of 175 people, including managers, teachers, and parents of students, was conducted. The research results show that although the management of support activities for care and education for children in public preschools has achieved some good results, it still reveals many limitations that need to be identified and addressed with appropriate solutions. Based on the assessment of the current situation and identification of the causes, this study has proposed suitable solutions to improve the quality of support activities for care and education for children in public schools in Thu Duc city.
Volume: 14
Issue: 6
Page: 4555-4566
Publish at: 2025-12-01

Miniaturized reconfigurable metamaterial based bandstop filter for wireless applications

10.11591/ijeecs.v40.i3.pp1337-1344
Khyati Chavda , Ashish K. Sarvaiya , Mehul K. Vala
The design of compact size and high efficiency metamaterial based reconfigurable microstrip bandstop filter for IEEE 802.11 WLAN applications is developed. This paper presents a switchable dual-mode filter, it resonant at 2.4 GHz and 3.6 GHz. The hexagonal metamaterial resonator inserted switch as PIN diode which form reconfigurable filter. By changing the DC bias of the diode, the filter can be reconfigured with a controlled precision, resulting in the frequency reconfigurable. The CST simulator used to simulate filter design, measuring a return loss over -29.12 dB and a low insertion loss less than -0.2 dB, which is a great performance. The filter is compact at the size of 8 mm×12 mm×1.6 mm design using Rogers RT Duroid 5880 substrate.
Volume: 40
Issue: 3
Page: 1337-1344
Publish at: 2025-12-01

Optimizing radial basis function networks for harmful algal bloom prediction: a hybrid machine learning approach

10.11591/ijece.v15i6.pp5647-5654
Nik Nor Muhammad Saifudin Nik Mohd Kamal , Ahmad Anwar Zainuddin , Amir ‘Aatieff Amir Hussin , Ammar Haziq Annas , Normawaty Mohammad-Noor , Roziawati Mohd Razali
The deployment of artificial intelligence in environmental monitoring demands models balancing efficiency, interpretability, and computational cost. This study proposes a hybrid radial basis function network (RBFN) framework integrated with fuzzy c-means (FCM) clustering for predicting harmful algal blooms (HABs) using water quality parameters. Unlike conventional approaches, our model leverages localized activation functions to capture non-linear relationships while maintaining computational efficiency. Experimental results demonstrate that the RBFN-FCM hybrid achieved high accuracy (F1-score: 1.00) on test data and identified Chlorophyll-a as the strongest predictor (r = 0.94). However, real-world validation revealed critical limitations: the model failed to generalize datasets with incomplete features or distribution shifts, predicting zero HAB outbreaks in an unlabeled 11,701-record dataset. Comparative analysis with Random Forests confirmed the RBFN-FCM's advantages in training speed and interpretability but highlighted its sensitivity to input completeness. This work underscores the potential of RBFNs as lightweight, explainable tools for environmental forecasting while emphasizing the need for robustness against data variability. The framework offers a foundation for real-time decision support in ecological conservation, pending further refinement for field deployment.
Volume: 15
Issue: 6
Page: 5647-5654
Publish at: 2025-12-01

Tailoring collaborative learning with jigsaw and VARK: a case study in teaching physics with environmental protection

10.11591/ijere.v14i6.32823
Ngan Hai My Le , Anh Thi Kim Nguyen
Collaboration is a crucial 21st century skill, requiring learning environments that foster teamwork while leveraging students’ individual strengths. This study aimed to enhance collaboration using the jigsaw strategy, which was adapted to students’ learning styles based on the model: visual, aural, read/write, and kinesthetic (VARK). The study involved 27 tenth-grade students in Ho Chi Minh City and focused on the topic “physics with environmental protection.” Students were initially grouped by learning styles into expert groups and later reorganized into mixed jigsaw groups to collaboratively address tasks related to environmental issues. A quasi-experimental design was employed, utilizing pre- and post-test self-assessment surveys, video observations, and group discussions to assess collaborative performance. Quantitative data were analyzed using the Wilcoxon signed rank test, while qualitative data provided deeper insights. Results demonstrated a significant improvement in team support (p=0.030), suggesting that aligning learning tasks with students’ styles foster group cohesion. However, participation and contribution showed minimal improvement, with students preferring reading/writing styles facing challenges in adapting to group activities. While the integration of jigsaw and VARK proved effective in enhancing collaboration, the study underscores the need to develop strategies to accommodate diverse learning preferences. Future research should involve larger sample sizes and consider teachers’ perspectives to optimize the practical implementation of learning styles in collaborative learning environments.
Volume: 14
Issue: 6
Page: 4364-4374
Publish at: 2025-12-01

Effect of a digital literacy through workshop training programs on older adults: a quasi-experimental study

10.11591/ijere.v14i6.32631
Ruthairat Siriwattanarat , Kittikhun Meethongjan , Ornuma Charoensuk , Donsak Tsailexthim , Weerawich Wongroj
In Bangkok, Thailand, workshop training programs aimed at enhancing digital literacy among older adults have been developed. The objective of this study was to assess whether a structured digital literacy workshop could improve mobile device proficiency among older adults in Bangkok. This program consisted of six workshops focusing on mobile devices such as smartphones or tablets. This quasi-experimental study investigates the impact of these workshops on digital device usage among urban community adults aged 60 and above. Digital literacy was assessed using the mobile device proficiency questionnaire (MDPQ-16) at three stages, they are baseline (pretest), immediately after program completion (post-intervention), and one month later (follow-up). A total of 84 older adults participated in these workshop training programs. Our findings indicate a significant increase in mobile device proficiency (P<.000). Participants showed substantial improvement in digital literacy at both the posttest and intervention assessments compared to pretest, with no significant difference observed between posttest and intervention scores. However, participants aged 70 and older with lower education levels demonstrated comparatively lower levels of digital literacy. These findings underscore the importance of implementing structured and accessible digital literacy training for older adults, particularly for those with lower educational attainment, to reduce digital disparities and promote inclusive access to essential digital services.
Volume: 14
Issue: 6
Page: 4389-4403
Publish at: 2025-12-01

Development of research competences in undergraduate students

10.11591/ijere.v14i6.33724
Carmen Lily Winchez Aylas , Patricia Bejarano Alvarez
This study addresses the limited involvement of university students in research activities, which reflects a significant gap in the development of key research competencies for their academic and professional advancement. Lack of involvement restricts essential skills such as problem formulation, rigorous data analysis and communication of findings, preventing students from generating relevant knowledge and meeting the challenges of their future careers. Through a systematic review of the literature on the development of research competencies in undergraduate students, using reliable sources such as Scielo, Dialnet and other academic journals, this study identified effective methodologies to foster such competencies. Rigorous exclusion criteria were applied to ensure the relevance and timeliness of the selected studies. In conclusion, educational strategies such as flipped learning and research workshops were found to have a positive impact on the development of research competences, enhancing both technical and transversal skills, such as innovation and critical thinking. These methodologies prepare students for academic and professional challenges and foster a research culture in educational institutions. This article explicitly identifies and synthesizes innovative educational strategies (flipped learning, Lean startup, and research workshops) that have a proven impact on strengthening both technical and transversal research competences in undergraduates in Latin America. This systematic approach and regional focus are not found in prior reviews.
Volume: 14
Issue: 6
Page: 4928-4936
Publish at: 2025-12-01

Interpersonal conflicts as a predictor of academic performance among secondary school students

10.11591/ijere.v14i6.33799
Abigael Cherono , Ciriaka Gitonga Muriithi , Elizabeth Atieno Obura
There is a global concern about promoting peaceful coexistence in school learning environments. Interpersonal conflicts in schools can lead to academic difficulties and violent interactions among the students. The academic performance among students in Embu East Sub-County has not been satisfactory and has become an issue of concern. The study conducted a quantitative correlational study to determine the relationship between interpersonal conflicts and students’ academic performance. A correlational research design was used, involving a sample of 357 form 2 students sampled through simple random sampling. Data were collected using the interpersonal conflict questionnaire and document analysis. The items in the questionnaire yielded a Cronbach’s alpha coefficient value of 0.759. Data were analyzed using inferential statistics, including Pearson’s correlation and simple linear regression analysis. The findings revealed a weak negative and statistically significant relationship between interpersonal conflicts and academic performance among the students (β=-0.152**, p=0.008). The study concludes that interpersonal conflict engagement among students leads to poor academic performance. Therefore, schools should prioritize integrating programs that build interpersonal and social skills among students to improve interpersonal relationships and academic performance.
Volume: 14
Issue: 6
Page: 4821-4831
Publish at: 2025-12-01

Smartphone use and its association with academic performance among university students in Bangladesh

10.11591/ijere.v14i6.34651
Md. Biplob Hossain , Noyon Ali , Ahmed Al Sabbir , Faysal Ahmed Imran , Md Shahjahan
Smartphone use has become integral to daily life, particularly among university students. While smartphones provide educational benefits, their overuse and addiction may negatively impact academic performance. This study investigates the prevalence of smartphone use, addiction levels, and their associations with academic performance among undergraduate students in Bangladesh. A cross-sectional survey was conducted on 615 undergraduate students from seven universities. The smartphone addiction scale-short version (SAS-SV) measured addiction levels, while academic performance was assessed via self-reported cumulative grade point average (CGPA). Descriptive statistics and logistic regression analyses were performed to explore associations. Among respondents, 29.1% were categorized as smartphone-addicted based on SAS-SV thresholds. Key predictors of higher academic performance (CGPA>3.0) included male gender (adjusted odds ratio (AOR): 3.71, 95% confidence interval (CI): 2.47–5.59, p<0.01), rural background (AOR: 1.64, 95% CI: 1.11–2.43, p=0.01), and attending private universities (AOR: 1.85, 95% CI: 1.28–2.74, p<0.01). Smartphone use for educational purposes was positively associated with better academic outcomes (AOR: 1.48, 95% CI: 0.95–2.30, p<0.01). Although smartphones are widely used for academic purposes, excessive use for stress relief or non-educational activities may harm academic outcomes. Interventions promoting responsible use and raising awareness about smartphone addiction are crucial for enhancing academic performance among university students.
Volume: 14
Issue: 6
Page: 4854-4863
Publish at: 2025-12-01

Utilization of innovative educational applications for developing the spiritual and creative potential of future educators

10.11591/ijere.v14i6.32125
Elvira Yeshenkulova , Kulimkhan Arymbayeva , Gulzhan Maulenberdieva , Dinara Yeshenkulova , Ulzharkyn Abdigapbarova , Kristina Kolesnik
Contemporary training of future educators necessitates the development of not only professional but also spiritual and creative qualities. This study aims to evaluate the effectiveness of an online course utilizing a chatbot to enhance the spiritual and creative potential of students in pedagogical disciplines. The research involved 534 of 4thyear students from two universities in Kazakhstan, divided into an experimental group (n=268) and a control group (n=266). The experimental group completed six modules covering creative thinking, spiritual development, public speaking, and other aspects of self-development. Pre- and post-course surveys assessed five indicators of spiritual health: vitality, resilience, values, meaning, and openness to change. The intervention resulted in a significant improvement in three key indicators: resilience, values, and meaning. These enhancements are likely to contribute to better preparation of future educators by strengthening their resilience to professional challenges, helping them understand their values and goals, and enhancing their awareness of the significance of education for society.
Volume: 14
Issue: 6
Page: 5129-5139
Publish at: 2025-12-01

The integration of scaffolding and augmented reality in physics learning

10.11591/ijere.v14i6.30575
Siti Nurqualbiah Mat Karim , Aidah Abdul Karim , Fariza Khalid
Physics learning often involves problem-solving in mathematical calculation that has become one of the many challenges among high school students. The integration of scaffolding and augmented reality (AR) has the potential to improve students’ understanding in problem-solving involving mathematical calculation in physics learning. Therefore, this study aims to increase gravitational knowledge among high school students using AR learning kit with the integration of scaffolding. This study employed mixed method case study research design and involved 15 high school students in urban areas. Data was collected using semi structured interview and pre and post gravitation test then analyzed using qualitative thematic analytic and descriptive statistics. The findings showed that an AR learning kit integrating scaffolding named FizaAR has increased gravitational knowledge among high school students in physics learning. The findings further indicated that scaffolding element employed in FizaAR have the feature of simplified small subtopics help to increase confidence among students in physics learning. Consequently, the AR learning kit might enhance high school students’ understanding of physics. This study found that integrating scaffolding and AR would help physics education.
Volume: 14
Issue: 6
Page: 5105-5116
Publish at: 2025-12-01

Intrusion detection based on image transformations and data augmentation

10.11591/ijece.v15i6.pp5594-5603
Nada Ali Abood , Asghar A. Asgharian Sardroud
The increasing growth of users and communication networks in different platforms has led to the emergence of various types of network attacks. intrusion detection systems (IDS) are one of the important solutions to cope with these problems. An IDS determines whether incoming traffic is intrusive or normal. IDSs often achieve high efficiency with methods based on deep neural networks. However, one of the shortcomings of these methods is the lack of sufficient attention to the spatial features in the data. This research presents an intrusion detection method based on image transformations and data augmentation is presented. In the proposed method, the intrusion detection process is performed by transforming the traffic vector into an image using a convolutional neural network (CNN). Also, we use data augmentation and dimension reduction techniques to increase accuracy and reduce complexity in the proposed method. Simulation results on network security laboratory - knowledge discovery and data mining (NSL-KDD) show that the proposed IDS can classify intrusion traffic with an accuracy of 97.58%.
Volume: 15
Issue: 6
Page: 5594-5603
Publish at: 2025-12-01
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