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31,456 Article Results

Beginning teachers’ professional development in Germany, Singapore, China, and Kazakhstan

10.11591/ijere.v15i1.32483
Oxana Kereyeva , Almazhai Yegenissova , Adem Bayar , Kairat Tleuov , Nurbike Bisaliyeva , Karylgash Kudarova , Shynar Iskakova
This study explores the challenges faced by beginning teachers in Kazakhstan due to inadequate professional development (PD) support, leading to high attrition rates and adaptation difficulties. A comparative analysis of PD programs in Germany, Singapore, China, and Kazakhstan identifies best practices that enhance teacher retention, professional growth, and teaching quality. Employing Bereday’s four-phase comparative methodology, this study systematically reviews approximately 20 policy documents and research articles from the selected countries. The findings indicate that effective PD programs incorporate structured mentoring, professional learning communities (PLCs), and action research. In contrast, Kazakhstan’s limited PD framework, characterized by brief mentoring periods and heavy teacher workloads hinders continuous professional growth. This study recommends extending the mentoring program to two years, reducing workloads, and integrating structured PD activities such as peer observations, subject-specific discussions, and collaborative workshops. Additionally, fostering professional communities and administrative support can ease the adaptation process, ultimately improving teacher retention and education quality. These recommendations provide a foundation for enhancing Kazakhstan’s PD system, aligning it with international best practices to establish a sustainable support structure for beginning teachers.
Volume: 15
Issue: 1
Page: 315-326
Publish at: 2026-02-01

Need analysis of holistic reading literacy teaching module integrating critical thinking and character

10.11591/ijere.v15i1.35171
Rahma Dona , Siti Rahaimah Ali , Florence Yulisinta , Restiana Ertika Latifah
The low levels of reading literacy and character development remain significant educational challenges among Indonesian students in the 21st century. Despite emphasizing higher-order thinking skills (HOTS) and character education in the national curriculum, elementary teachers struggle to effectively integrate these aspects into reading literacy teaching in the Bahasa Indonesia subject. This study identifies teachers’ challenges, difficult literacy topics, and the need for a structured module integrating HOTS and character. Using a design and development research (DDR) approach, an online survey of 287 grade 4 teachers from 171 elementary schools in Depok, West Java, was conducted. This study is the first to develop a grade-4-tailored holistic-HOTS-character (H2C) framework for reading literacy instruction, integrating cognitive, social, emotional, psychomotor, and moral elements. Additionally, teachers found independently retrieving and synthesizing information from multiple sources (22.30%) and teaching main ideas and supporting details (21.95%) to be the most challenging topics. Teachers strongly supported the development of an H2C teaching module (M=4.28 out of 5). The study also presents a visual H2C conceptual model to guide classroom implementation. This needs-analysis study confirms that teachers perceive a structured, holistic reading literacy teaching module as essential for enhancing student engagement, HOTS, and character development.
Volume: 15
Issue: 1
Page: 760-770
Publish at: 2026-02-01

Socio-emotional learning skills and teaching practices of teachers and educators

10.11591/ijere.v15i1.35363
Mercedes A. Macarandang , Ethel de Leon-Abao , Maria Elena C. Morales , Nelia G. Prieto , Filomena T. Dayagbil , Rivika C. Alda
The COVID-19 pandemic reshaped the global educational system, mandating teachers to adapt to new modes of instruction. This shift heightened the importance of socio-emotional learning (SEL) in fostering effective teaching and learning. This study examined the socio-emotional skills of teachers and their instructional practices. A descriptive correlational design was employed, with data collected through a purposive sampling procedure. A total of 1,211 teachers from basic and higher education institutions across the Philippines were selected through stratified random sampling. Correlation analysis revealed a significant positive relationship between teachers’ socio-emotional competencies, particularly self-awareness and relationship skills, and their instructional practices. These findings highlight the need to integrate SEL into professional development initiatives. It is recommended that a competency-based training framework be developed to strengthen teachers’ socio-emotional capacities, ensuring they are well-equipped to meet the demands of post-pandemic education.
Volume: 15
Issue: 1
Page: 489-499
Publish at: 2026-02-01

Artificial intelligence in education: a bibliometric analysis of emerging trends

10.11591/ijere.v15i1.34428
Lim Seong Pek , Nahdatul Akma Ahmad , Faiz Zulkifli , Fatin Syamilah Che Yob , Usman Ependi , Geoffrey Rhoel C. Cruz
This study investigates the transformative potential of artificial intelligence (AI) in education through a bibliometric analysis of 291 scholarly works retrieved from the Web of Science (WoS) database. Traditional methods of instruction are under threat from the growing demand for individualized and equitable education, particularly in underserved communities. This study looks at how AI innovations, like virtual assistants and adaptive learning platforms, can enhance learning outcomes and the efficacy of instruction in order to address these concerns. The methodology used co-occurrence and co-citation analyses to map research trends and find educational and AI thematic clusters. Pedagogical frameworks, medical education innovations, ethical governance, generative AI applications, and AI acceptance are the five main research areas highlighted in the findings. With 5,246 citations and an H-index of 42, the data show how widely used AI is in both academia and industry. Adaptive learning models, moral dilemmas, and AI literacy are emerging themes. According to this research, AI has the potential to improve accessibility, equity, and quality in education while tackling issues like algorithmic bias and digital divides. This is in line with sustainable development goal 4 (quality education). Teachers, legislators, and technologists can use this study’s thorough intellectual landscape to gain practical insights on how to responsibly incorporate AI into educational systems for more sustainable innovation.
Volume: 15
Issue: 1
Page: 649-659
Publish at: 2026-02-01

The relationship between father involvement and children’s academic achievement: a systematic review

10.11591/ijere.v15i1.33407
He Yanjie , Latha Ravindran , Luo Limei
Father involvement in children’s education and its impact on children’s academic achievement has become a pertinent topic. However, there has not been a systematic assessment of the mechanisms and factors that specifically influence the impact of father involvement on children’s academic achievement. To this end, this study reviewed studies published between 2014 and 2024 and identified and analyzed 45 articles from databases such as Web of Science, Scopus, ERIC, and Google Scholar using a two-stage review protocol of automated literature search and manual screening. It was found that the multidimensionality of father involvement has a significant effect on children’s academic achievement and that this relationship is influenced by a combination of individual father factors, family factors, school factors, and socio-cultural factors. Based on the limitations of existing studies, this study constructed a structured empirical research framework to categorize the influencing factors and made recommendations for future research, including conducting longitudinal studies, considering different socio-demographic variables, conducting cross-cultural comparative studies, and exploring in depth the potential mechanisms underlying the association between father involvement and children’s academic achievement, with the aim of providing stronger support and guidance to promote fathers’ active participation in their children’s education and better promote children’s holistic development.
Volume: 15
Issue: 1
Page: 258-277
Publish at: 2026-02-01

Perceptions of educational leaders about creating e-portfolios as part of a leadership upskilling program

10.11591/ijere.v15i1.29818
Zeina Hojeij , Areej ElSayary
The effectiveness of e-portfolios in supporting educator professional development (PD) remains uncertain, particularly in demonstrating leadership skills through reflections and perceptions. This study investigates the utility of e-portfolios by examining the perspectives of educational leaders within a K-12 setting in the United Arab Emirates (UAE). The study involved 17 participants who completed an upskilling program, creating digital portfolios as part of their training. Additionally, 10 participants engaged in semi-structured interviews. The findings revealed three primary themes: genuine professional leadership growth, continuous PD, and an enhanced understanding of the student learning experience. The creation of e-portfolios not only fostered authentic PD but also served as a catalyst for ongoing growth, self-discovery, and continuous learning. This research concludes that e-portfolios are valuable tools for PD, promoting reflective practice and lifelong learning among educational leaders.
Volume: 15
Issue: 1
Page: 626-637
Publish at: 2026-02-01

Student leadership in Chinese higher education student union: the role of organizational climate and student engagement

10.11591/ijere.v15i1.36185
Lei Hua , Aida Hanim A. Hamid , Bity Salwana Alias
Student leadership (SL) is a key driver for personal growth, organizational effectiveness, and campus governance. However, in China, less attention has been paid to the development of SL, especially within student unions, which play a central role in governance and representation. Therefore, this research explores the effect of organizational climate (OC) and student engagement (SE) on SL in college student unions and examines the moderating effect of SE. A quantitative survey was conducted, targeting 17,200 student union members in Shanxi Province, China. Data was collected from 500 respondents using online questionnaires through a convenience sampling technique. The direct effect and moderating effect were analyzed by partial least squares-structural equation modeling (PLS-SEM), which was chosen due to its suitability for analyzing complex models. The findings revealed that both OC and SE have a positive effect on SL. Moreover, SE significantly moderates the relationship between OC and SL. This research advances social cognitive theory in the Chinese higher education context. It enhances the understanding of how college climate and individual factors interact to shape SL. Practically, it suggests the importance of fostering a supportive OC and stimulating SE in SL development.
Volume: 15
Issue: 1
Page: 469-478
Publish at: 2026-02-01

Beating a dead horse: investigating the continued use of ineffective assessment practices in modern education systems

10.11591/ijere.v15i1.35757
Mohammad Awad AlAfnan , Siti Fatimah MohdZuki , Shefa Mohammad AlAfnan
The study examines the persistence of outdated assessment practices in the education systems of Jordan, Malaysia, and Australia, utilizing the Dead Horse Theory as an interpretive lens. Despite ongoing educational reforms advocating for authentic, student-centered assessment models, traditional high-stakes and summative evaluations continue to dominate. The research adopts a qualitative multi-site case study approach, drawing data from semi-structured interviews, document analysis, and classroom observations. The 30 participants, including teachers, administrators, faculty, and policy analysts, were purposively selected across the three countries. Findings reveal three interconnected themes contributing to assessment stagnation: institutional inertia, cultural attachment to standardized metrics, and inadequate professional development. In Australia, systemic accountability pressures, such as National Assessment Program–Literacy and Numeracy (NAPLAN) and Australian Tertiary Admission Rank (ATAR) rankings, limit the innovation in assessment. In Jordan, the Jordanian High School General Examination (Tawjihi) exam significantly influences pedagogy and curriculum. In contrast, a dual reality prevails in Malaysia, with reform attempts often overshadowed by entrenched examination cultures. Teachers across all contexts expressed frustration with superficial policy changes and limited practical support, frequently engaging in performative compliance rather than genuine transformation. Applying the Dead Horse Theory highlights how education systems adopt symbolic or cosmetic reforms, ‘buying a stronger whip’ or ‘changing the rider’, instead of abandoning dysfunctional practices. The study concludes that meaningful reform requires structural and policy change, cultural shifts, and sustained teacher empowerment. The Dead Horse Theory thus serves as a powerful metaphor and diagnostic tool for identifying the illusion of progress and advocating for truly transformative educational assessment.
Volume: 15
Issue: 1
Page: 680-695
Publish at: 2026-02-01

A qualitative study on the mental and emotional well-being of first-year university students in Malaysia

10.11591/ijere.v15i1.34358
Pauviya A/P Guna Segar , Azlina Mohd Kosnin , Lina Handayani
This study investigates the mental and emotional challenges faced by first-year university students in Malaysia to identify key factors influencing their adjustment to university life. Using a qualitative approach, semi-structured interviews were conducted with 15 first- and second-year students selected through purposive sampling. Conducting this research in Malaysia is essential, as limited studies have examined how local students experience and manage the emotional and mental health challenges associated with the transition to university life. Thematic analysis revealed four key themes: i) declining mental health marked by heightened anxiety and depression; ii) fluctuating self-esteem due to academic pressures and newfound independence; iii) financial stress exacerbating emotional distress; and iv) the role of therapy and professional help in managing mental health concerns. The findings contribute to the growing discourse on student mental health by offering insights into the psychological and emotional dimensions of university transition. The study provides important implications for policy and institutional practice, underscoring the need for comprehensive, student-centered support systems such as structured mental health programs, peer mentoring, and financial literacy workshops. Addressing these factors can enhance students’ well-being, academic performance, and retention. Despite its rich qualitative insights, the small sample size and self-reported data highlight the need for future mixed-method and longitudinal research.
Volume: 15
Issue: 1
Page: 82-88
Publish at: 2026-02-01

Graduate students’ competence and readiness for research

10.11591/ijere.v15i1.31938
Marie Ann S. Gonzales , Merilyn P. Juacalla , Benny B. Juacalla
Research competence forms the foundation of graduate students’ academic success and their ability to contribute meaningfully to scholarly output. This study examines the relationship between research competence and research readiness among 224 graduate students from MA in education, EdD, and PhD in Laguna State Polytechnic University selected through a non- random sampling technique, specifically purposive sampling. These participants, who had all completed a research subject, responded to a validated, researcher-developed 5-point Likert scale questionnaire. The study employed quantitative methods, including mean comparison, Spearman rank correlation, and Mann-Whitney U tests, to analyze the data. Findings revealed a strong positive correlation between students’ research competence and their readiness to engage in the research process. Notably, doctoral students demonstrated higher levels of both competence and readiness compared to master’s students. While competence levels were relatively consistent across programs, readiness significantly differed. These results highlight the need for program-level interventions that provide targeted research training and support, contributing to more effective curriculum design and evidence-based policy-making in graduate education.
Volume: 15
Issue: 1
Page: 157-165
Publish at: 2026-02-01

Development of the Arabic family relation test among school students

10.11591/ijere.v15i1.33469
Marwa Nasser Alrajhi , Kamisah Osman , Hussain Ali Alkharusi
Family relationships are highly valued; therefore, their assessment is essential. Documented literature has emphasized the significance of family relationships in students’ different outcomes. However, there is a lack of psychometrically robust measures of family relationships in Arabic-speaking environments. This study aimed to develop the Arabic family relation test (AFRT) and examine its psychometric properties. The test explores six main dimensions of parent-child relationships: restrictiveness, affection, vulnerability, justice, acknowledgment, and trust. The cross-sectional quantitative design was utilized. The study sample included 601 school students (47.6% males) from grades 5, 7, 9, and 11, selected through a cluster-random sampling approach. The findings revealed a valid 60-item AFRT with a two-second-order-factor, six-first-order-factor factorial structure. Measurement invariance of the AFRT was achieved in the father-child model across groups of age and gender. However, measurement invariance was only supported across age groups in the mother-child model. The AFRT demonstrated good reliability, as indicated by Cronbach’s alpha, test-retest, split-half, and composite reliability. The researchers concluded that the AFRT is an appropriate tool for family assessment; however, further psychometric investigation is recommended. In addition, recommendations for implications and suggestions for future research were provided.
Volume: 15
Issue: 1
Page: 915-932
Publish at: 2026-02-01

Student teachers’ technological pedagogical content knowledge: assessment in a private school

10.11591/ijere.v15i1.37374
Daniel S. Fernando , Ana Linda O. Santos , Narlie M. Labanon
This study assessed the technological pedagogical content knowledge (TPACK) among student-teachers in a private school during the academic year 2025-2026. Additionally, it examined the differences in the level of TPACK among the student teachers when grouped by demographics. A quantitative descriptive-comparative research design was employed. The study was participated in by a total of 103 student-teachers. A 47-item adopted instrument was used to collect the data, utilizing a 5-point Likert scale. The descriptive and comparative analyses were employed. Mean, standard deviation, and the Mann-Whitney U test were used. The whole process of this study adhered to the ethical guidelines. Generally, the findings showed that the student teachers obtained high mean scores (M=4.10, SD=0.50) in TPACK. Notably, their technological pedagogical knowledge was rated very high (M=4.31, SD=0.50). Additionally, the results revealed no significant differences (U=380.000, p=0.340) between male and female across all components of TPACK. However, significant differences were observed in pedagogical knowledge (U=881.000, p=0.029) and pedagogical content knowledge (U=903.000, p=0.039) when grouped according to program. The findings imply that the Department of Teacher Education is encouraged to continue to strengthen the integration of technology in pedagogy and content instruction to sustain and further enhance student teachers’ technological competence.
Volume: 15
Issue: 1
Page: 399-407
Publish at: 2026-02-01

Enhancing Chinese character achievement in primary education through multimedia-assisted deep learning module

10.11591/ijere.v15i1.36753
Yulu Jin , Nik Muhammad Hanis Nek Rakami , Md. Nasir Masran
Chinese character literacy is essential for developing literacy competence in primary education; however, traditional instructional methods often rely on rote memorization, limiting student engagement, and deep learning. This study examined the effectiveness of a multimedia-assisted deep learning (MADL) module, designed based on the cognitive theory of multimedia learning (CTML) and cognitive semantic theory, in enhancing primary students’ academic achievement in Chinese character learning. A quasi-experimental design was adopted with 222 second-grade students from three schools, with an experimental group (MADL, n=110) and a control group receiving traditional instruction (n=112). Academic achievement was assessed using pre-test and post-test, measuring overall scores, reading, writing, and understanding. Non-parametric Mann–Whitney U tests and Wilcoxon signed-rank tests revealed that the MADL group significantly outperformed the control group in overall post-test scores (p<.05) as well as in reading, writing, and understanding subtests. Within-group analyses further showed greater improvements in the MADL group. These findings indicate that the MADL module is an effective and pedagogically grounded tool for enhancing Chinese character learning in primary education. The study contributes empirical evidence supporting the integration of MADL strategies into early literacy instruction.
Volume: 15
Issue: 1
Page: 660-669
Publish at: 2026-02-01

Assessing students’ global competence using artificial intelligence: experimental research

10.11591/ijere.v15i1.34038
Sofiya Nikolaeva , Yana Diachkova , Anastasiia Syzenko
This paper addresses the challenge of assessing global competencies in higher education, an essential skill set for students in today’s interconnected world. Despite its importance, current assessment methods struggle to accurately capture the multidimensional nature of global competence, often due to subjective grading systems, cultural biases, and limited resources. This paper proposes using artificial intelligence (AI)-driven assessment tools to streamline and enhance the evaluation of global competencies. Through a literature review and experimental study conducted at T. Shevchenko National University of Kyiv (Ukraine), we examine how AI technologies, such as natural language processing, machine learning, and sentiment analysis, can be applied to assess cultural awareness, communication skills, and critical thinking. The results suggest that AI-driven assessments are more efficient, objective, and capable of providing personalized feedback than traditional methods. This paper concludes that AI has the potential to revolutionize the assessment of global competencies, offering a more inclusive and effective approach to preparing students for global citizenship.
Volume: 15
Issue: 1
Page: 860-869
Publish at: 2026-02-01

From algorithms to classrooms: a decade of artificial intelligence in education research

10.11591/ijere.v15i1.34427
Lim Seong Pek , Nahdatul Akma Ahmad , Faiz Zulkifli , Rabindra Dev Prasad , Ari Muzakir , Jun S. Camara
The education industry has seen a substantial transformation thanks to artificial intelligence (AI), which has improved administrative effectiveness, accessibility, and individualized learning. However, issues like moral dilemmas, digital justice, and policy inconsistencies still exist. From 2015 to 2024, this bibliometric research explores how AI is revolutionizing education. Personalized learning, improved accessibility, and expedited administrative procedures have all been made possible by AI; yet, issues with cost, digital equity, and ethics still exist. We used the Web of Science (WoS) database to conduct a comprehensive bibliometric analysis of 291 peer-reviewed articles that were indexed in the Social Sciences Citation Index (SSCI). The PRISMA methodology was used in the study to find and filter pertinent material. Thematic trends, citation patterns, and co-authorship networks were examined using bibliometric tools like VOSviewer. The progress of generative AI tools like ChatGPT, the importance of AI in democratizing education, and the integration of AI into curriculum building are some of the key discoveries. The report identifies significant nations, organizations, and researchers in AI education and emphasizes global research relationships. Our research raises ethical governance issues while shedding light on AI’s potential to promote individualized learning and increase student engagement. These findings support sustainable development goal (SDG) 4 on quality education by highlighting the need for responsible AI use to address the digital divide. This paper offers useful suggestions for academics, educators, and legislators to maximize AI’s promise while tackling its drawbacks.
Volume: 15
Issue: 1
Page: 500-510
Publish at: 2026-02-01
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