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31,456 Article Results

Practices and challenges of preservice teachers on flexible learning modality

10.11591/ijere.v14i4.33500
Leo L. Codilla Jr. , Jorelle R. Escote , Shenna H. Olavides , Ian S. Samosino
This study examined the level of the preservice teachers’ practices in terms of adaptability and time management and the extent of the challenges in terms of internet connectivity and learning environment on flexible learning modality in the post-pandemic time. The study further looked into the relationship between preservice teachers’ practices and their challenges. The study employed a descriptive-correlational approach to comprehensively understand the practices utilized by preservice teachers and the challenges they encounter in adapting to flexible learning modalities. The results reveal that the level of the practices the preservice teachers apply in flexible learning modality is high, and the extent of challenges is also high. Furthermore, the results indicate a significant relationship between the practices and preservice teachers’ challenges in flexible learning. This study contributes to the field of education by providing insights into the adaptability and resourcefulness of preservice teachers navigating flexible learning modalities in the post-pandemic context. Moreover, the findings gave educational institutions and policymakers a glimpse of possible support strategies to improve flexible learning frameworks.
Volume: 14
Issue: 4
Page: 2584-2592
Publish at: 2025-08-01

Bridging generations: a scoping review of teaching technology to the elderly using intergenerational strategies

10.11591/ijict.v14i2.pp529-539
Nahdatul Akma Ahmad , Tengku Shahrom Tengku Shahdan , Norziana Yahya
The proportion of the global population aged 60 and above is projected to nearly double by 2050, emphasizing the urgent need for societies to adapt to the challenges posed by an aging population. As the elderly increasingly face difficulties in navigating digital technologies, which are essential for daily tasks and accessing services, the digital divide often leads to digital exclusion. This scoping review investigates intergenerational strategies used to teach technology to older adults. Seventeen studies from 11 countries were analyzed, highlighting six key intergenerational learning strategies: reverse mentoring, virtual learning, collaborative learning, family intergenerational activities, game play learning, and storytelling. These strategies offer diverse methods for enhancing digital literacy and social engagement, with reverse mentoring showing promise in fostering digital competence, and virtual learning promoting inclusivity across generations. However, barriers such as technological access, ongoing support, and cultural differences complicate implementation. This review underscores the importance of adapting instructional approaches to the needs of the elderly while leveraging intergenerational interactions to bridge the digital literacy gap. It calls for sustained efforts to address user needs, provide technical support, and ensure inclusivity, especially for isolated individuals, to maximize the effectiveness and sustainability of these strategies.
Volume: 14
Issue: 2
Page: 529-539
Publish at: 2025-08-01

Transforming early childhood education in Saudi Arabia: AI’s impact on emotional recognition and personalized learning

10.11591/ijere.v14i4.32660
Dalal Aldhilan , Shahid Rafiq
Artificial intelligence (AI) technologies are increasingly integrated into early childhood education (ECE) worldwide, promising to revolutionize learning experiences for young children. ECE in Saudi Arabia faces challenges in addressing diverse learning needs and fostering socio-emotional development. This qualitative study investigates the role of AI in enhancing emotional recognition, promoting socio-emotional development, and addressing associated challenges in the context of Saudi Arabian schools. A total of 55 ECE teachers in Jeddah were interviewed using purposive sampling, with data saturation achieved at 50 interviews. Themes emerging from the data highlight AI’s effectiveness in personalizing learning experiences based on individual needs and learning styles, fostering empathy and social interaction among children, and enhancing classroom management. Challenges identified include data privacy concerns, cultural adaptation of AI tools, and ensuring equitable access to technology. The study highlights the importance of comprehensive teacher training, ethical guidelines, and robust policy frameworks to support responsible AI integration in Saudi Arabian education. Implications for practice include enhancing educational practices through AI while emphasizing the human role of educators, and the need for ongoing research to inform future innovations in ECE.
Volume: 14
Issue: 4
Page: 2473-2486
Publish at: 2025-08-01

Performance analysis of LDPC codes in MIMO-OFDM for next generation wireless systems

10.11591/ijict.v14i2.pp636-644
P. Aruna Kumari , Srinu Pyla , U. N. V. P. Rajendranath , Nirujogi Venkata Maheswara Rao
Fifth Generation communication systems overcome the limitations of the fourth-generation systems and ensure improved data rates, lower latency, and higher connection density. 5G technology has the potential to unlock new internet of things (IoT) applications by utilizing the technologies such as multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM), and Li-Fi. Low density parity check (LDPC) and polar codes are being preferred for data and control channels respectively in 5G systems as these coding techniques offer good error-detection and correction along with reduced latency. Morever, LDPC codes are power efficient. This paper aims to analyze the bit error rate (BER) performance of LDPC codes in MIMO-OFDM System for different modulation schemes. LDPC codes improve the BER performance of OFDM and MIMO-OFDM systems. MIMO-OFDM systems deliver better BER performance over OFDM system.
Volume: 14
Issue: 2
Page: 636-644
Publish at: 2025-08-01

Systematic literature review: future skills of teachers

10.11591/ijere.v14i4.32413
Nor Shamsidar Zainor , Mohd Isa Hamzah , Hafizhah Zulkifli
This systematic literature review (SLR) investigates the essential skills future teachers require to succeed in a rapidly evolving educational landscape, influenced by technological advancements and shifting pedagogical paradigms. It highlights the misalignment between the skills possessed by teachers and the demands of 21st-century education, which can result in teaching becoming irrelevant. Employing a qualitative approach in accordance with preferred reporting items for systematic reviews and meta-analyses (PRISMA) standards, this study analyzed two primary databases—Web of Science (WoS) and Scopus—alongside Google Scholar, focusing on empirical journal articles published in either Malay or English from 2019 to 2023. From an initial pool of 55,362 articles, only 14 were selected for analysis. The qualitative findings identified four key themes: i) digital technology skills; ii) communication skills; iii) lifelong learning skills; and iv) socioemotional skills. These insights emphasize the urgent need for teacher training programs to integrate these competencies into their curricula. By addressing these gaps, educational stakeholders can better equip teachers to meet the demands of 21st-century classrooms, ultimately enhancing educational outcomes and fostering student success. Future research should further assess the effectiveness of these training programs on teaching performance and student achievement.
Volume: 14
Issue: 4
Page: 2800-2811
Publish at: 2025-08-01

Scientific and methodological foundations of open educational platform employment in language teaching

10.11591/ijere.v14i4.33093
Raikhan Abnassyrova , Nazerke Mubarak , Khafiza Ordabekova , Zhanagul Turumbetova , Kuralay Mukhamadi
The objective of the research is to investigate the efficacy of these platforms in facilitating language acquisition, fostering student engagement, and personalizing learning experiences. A survey was conducted among 100 language teachers from higher educational institutions in Astana, Kazakhstan. The teachers were requested to evaluate the efficacy of open platforms in language instruction, taking into account factors such as student motivation, the individualization of learning, and the availability of resources. The research employed a descriptive design, utilizing a three-level response scale to collect data on the integration of the aforementioned platforms and the preparedness of educators to utilize them. The findings suggest that open platforms facilitate access to resources and enhance student motivation when integrated with interactive tools, such as GraphoLearn and Kahoot!. However, the study emphasizes the necessity for structured training to address the challenges encountered by educators in implementing these platforms effectively.
Volume: 14
Issue: 4
Page: 3315-3324
Publish at: 2025-08-01

Students’ usage behavior toward digital exam pads in Indian university settings

10.11591/ijere.v14i4.32245
Abhinav Kumar Shandilya , Dilip Kumar
This study investigates the factors influencing undergraduate students’ acceptance and usage of digital exam pads in the context of Indian higher education by utilizing the variables of the unified theory of acceptance and use of technology (UTAUT) and its extended version, UTAUT2. The shift towards paperless examinations is vital for sustainability and efficiency in education, yet understanding the determinants of student adoption remains a challenge. To address this, the study collected data from 480 undergraduate students from Jharkhand and Karnataka, India, and the proposed model was tested using partial least squares structural equation modeling (PLS-SEM). The results revealed that performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), and hedonic motivations (HM) significantly influence students’ behavioral intentions to use digital exam pads, which in turn positively affect actual usage behavior (UB). Additionally, gender was found to moderate the relationship between HM and BI. The study concludes that the UTAUT model effectively explains digital exam pad adoption, offering practical insights for universities aiming to implement such technologies. The findings underscore the need for targeted strategies to enhance student engagement with digital tools, particularly considering gender differences.
Volume: 14
Issue: 4
Page: 2762-2772
Publish at: 2025-08-01

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

Deepfake detection using convolutional neural networks: a deep learning approach for digital security

10.11591/ijeecs.v39.i2.pp1092-1099
Fenina Adline Twince Tobing , Adhi Kusnadi , Ivransa Zuhdi Pane , Rangga Winantyo
The development of artificial intelligence technology, especially deep learning, has facilitated the emergence of increasingly sophisticated deepfake technology. Deepfakes utilize generative adversarial networks (GANs) to manipulate images or videos, making it appear as if someone said or did things that never actually happened. As a result, deepfake detection has become a critical challenge, particularly in the context of the spread of false information and digital crime. The purpose of this research is to create a method for detecting deepfakes using a convolutional neural network (CNN) approach, which has been proven effective in visual pattern recognition. Through training with a dataset of original facial images and deepfakes, the CNN model achieved an accuracy of 81.3% in detecting deepfakes. The evaluation results for metrics such as precision, recall, and F1-score indicated good performance overall, although there is still room for improvement. This study is expected to make a significant contribution to enhancing digital security, especially in detecting visual manipulations based on deepfakes.
Volume: 39
Issue: 2
Page: 1092-1099
Publish at: 2025-08-01

Evaluating the consistency of automated CEFR analyzers: a study of English language text classification

10.11591/ijere.v14i4.33528
Piyathat Siripol , Seongha Rhee , Suthathip Thirakunkovit , Aphiwit Liang-Itsara
With the increasing use of web-based tools for text analysis, there is a growing reliance on automated systems to assess text difficulty and classify texts to the Common European Framework of Reference for Languages (CEFR). However, inconsistencies in these tools’ outputs could undermine their effectiveness for language learners and researchers. This study investigates the consistency of five widely used automated CEFR analyzer tools, including ChatGPT, by analyzing 20 English descriptive texts at CEFR levels B1 and B2. A quantitative approach was employed to compare the CEFR classifications generated by these tools. The results reveal significant inconsistencies across the tools, raising concerns about the reliability of automated CEFR alignment. Additionally, the content and genre of texts appeared to influence the CEFR classification, suggesting that certain factors beyond the tools’ algorithms may affect their accuracy. These findings have important implications for language educators, curriculum designers, and researchers who rely on automated CEFR tools for text selection, grading, and analysis. The study highlights the limitations of automated CEFR classification systems and calls for a more qualitative approach to text difficulty alignment analysis. Future research recommendation is discussed and call for more focus on refining these tools and exploring additional factors that may impact their effectiveness in text difficulty measurement and CEFR alignment.
Volume: 14
Issue: 4
Page: 3283-3294
Publish at: 2025-08-01

The transformative power of mentorship on novice teacher success: a recent systematic literature review (2022-2024)

10.11591/ijere.v14i4.33492
Beranda Yii Ping Jin , Mohd Muslim Md Zalli , Mohd Ridhuan Mohd Jamil , Nik Muhammad Hanis , Josephine Ambon
This study examines the transformative impact of mentorship in building resilience and enhancing success among novice teachers. By identifying effective mentorship strategies and frameworks, the research addresses critical early-career challenges, supports teacher retention, and contributes to the global aim of quality education. Using a systematic literature review (SLR) guided by preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, the study analyzed 45 articles from Scopus and ERIC databases, covering publications from 2022 to 2024. Through qualitative thematic analysis, three main themes emerged: emotional and psychological support in mentoring, mentoring models and professional development frameworks, and cultural and contextual influences on mentoring. Findings suggest that mentorship is pivotal in helping novice teachers navigate stress, improve instructional skills, and adapt to diverse school environments. Limitations include the restricted scope to select databases, potentially omitting other relevant studies. Future research could broaden the literature base and assess mentoring’s long-term impacts across varied educational contexts. This study contributes to the field by highlighting mentorship’s essential role in fostering resilience among novice teachers, aligning with sustainable development goal 4 (SDG 4) to promote teacher retention and educational quality.
Volume: 14
Issue: 4
Page: 2605-2616
Publish at: 2025-08-01

Designing an automated matching model to enhance recruitment process

10.11591/ijeecs.v39.i2.pp1081-1091
Sahar Idwan , Ebaa Fayyoumi , Haneen Hijazi , Izzeddin Matar
Detecting qualified candidates for a vacant position is a difficult task, especially when there are numerous applicants. This delays team development in finding the appropriate individual at the right moment. Adopting a well-structured selection process will create opportunities for new aspects and ideas. In this paper, the matching job applicant (MJA) model is developed to assist all parties, the employers and the employees simultaneously by providing a fair, transparent unbiased solution constructed by using a mathematical machine. This provides a clear justification in the decision-making process in addition to advising the applicants with the most suitable positions that fits their qualifications.
Volume: 39
Issue: 2
Page: 1081-1091
Publish at: 2025-08-01

The impact of school culture on the quality of education in Vietnamese teacher training colleges: a case study in the Red River Delta

10.11591/ijere.v14i4.32737
Vu Thi Quynh , Pham Ngoc Son
School culture is a system of beliefs, values, norms, habits, and traditions developed throughout the school’s evolution, recognized and followed by its members, and expressed in both material and spiritual forms. This unique identity shapes each educational institution. The school’s culture influences the behavior, attitudes, goals, and outcomes of its students. Based on the intrinsic nature and role of school culture, this study clarifies the correlation between culture and training quality in teacher training colleges in the Red River Delta, Vietnam. Through survey results, observations, and interviews, this research establishes a significant correlation between positive cultural elements and enhanced educational quality indicators, including student achievement, teacher satisfaction, and research productivity. Conversely, negative cultural aspects are found to adversely impact these indicators. The study emphasizes the vital role of school culture in shaping educational experiences and outcomes in Vietnamese teacher training colleges. Based on these findings, the research offers practical recommendations for fostering a positive school culture, thereby contributing to the improvement of teacher training quality in Vietnam.
Volume: 14
Issue: 4
Page: 3183-3192
Publish at: 2025-08-01

Design and assessment of effective multimedia-based courseware for student quantitative data analysis

10.11591/ijere.v14i4.32055
Abdulnassir Yassin , Ashadi Bashir , Herman Dwi Surjono , Zul Afdal , Victor Novianto
The rapidly evolving technological trends are transforming higher education. This study focused on designing and evaluating the effectiveness of multimedia-based courseware in improving students’ data analysis at Islamic University in Uganda. The objectives were: i) to create interactive multimedia courseware (IMC) to enhance students’ quantitative data analysis skills; ii) to evaluate the suitability of IMC’s content, interactivity, user interface, and design; and iii) to profile students’ perceived benefits of using the IMC to learn quantitative data analysis. A descriptive survey involving 160 education undergraduate finalists, selected through random and consensus sampling, was conducted. Data was collected through a self-report survey instrument with high validity (content validity index=0.886) and reliability (Cronbach alpha=0.878). The IMC development followed the analysis, design, development, implementation, and evaluation (ADDIE) model and Gagne’s learning events. Results indicated that the IMC content (mean=3.90, SD=0.94), interactivity (mean=4.10, SD=0.79), user interface (mean=4.04, SD=0.82), and screen design (mean=4.05, SD=0.87) were highly appropriate. Students perceived IMC as effective in enhancing their data analysis skills (mean=3.86, SD=0.92). The findings suggest that IMC can significantly improve students’ quantitative analysis abilities. However, recommending further studies on the impact of IMC on students’ quantitative data analysis skills comprehensively in a multidisciplinary manner, to potentially revolutionize learning.
Volume: 14
Issue: 4
Page: 3103-3115
Publish at: 2025-08-01

A routine immunization decision support system framework for vaccine demand forecasting in the city health office

10.11591/ijict.v14i2.pp625-635
Mariannie A. Rebortera , Jovito P. Bolacoy Jr. , Jovanne Alejandrino , Mark Ronald S. Manseguiao
“Immunization” has been documented as one of the most flourishing measures for community well-being ever devised. Management of “immunization” information will ensure that children and newborns receive immunization on schedule. However, managing this immunization information is done manually. Customary data processing method are timeintensive, lengthy, slow in progress and susceptible to inaccuracies during encoding, verification, and re-ordering. In this study, a web-based routine immunization decision support system (RIDSS) was conceptualized to address these challenges. The web-based system is an innovative tool designed to streamline vaccine demand forecasting within the city health office (CHO) of Panabo. This system uses time series analysis and machine learning models to output accurate predictions of future vaccination demand. Using historical data on the performance of routine immunization (RI), it allows identification and analysis of actionable signals to facilitate betterinformed decisions with respect to vaccine procurement, distribution and allocation. The system is a substantial improvement of the current basic vaccine supply management, making it possible for Panabo CHO to have an organized program in administering immunization. Key stakeholders identified were presented with the prototype of system to assure effectiveness and utility. An act of major recognition to the system and its relevance in community health.
Volume: 14
Issue: 2
Page: 625-635
Publish at: 2025-08-01
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