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        <title>Frontiers in Education | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/education</link>
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        <pubDate>2026-08-13T09:47:41.603+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1916590</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1916590</link>
        <title><![CDATA[Unveiling the individual predictors of prestigious award-winning among gifted students: academic achievement, gender, and cognitive ability]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Abdullah M. Aljughaiman</author><author>Norah Almulhim</author>
        <description><![CDATA[Winning prestigious awards for gifted students is a highly valued goal sought by many educational institutions, as it reflects the excellence of their gifted students and the quality of their educational outcomes. Despite the importance of the issue, few studies have examined the factors that contribute to this success; this study examines the extent to which individual factors, namely academic achievement, gender, and cognitive ability, predict gifted students’ likelihood of winning prestigious awards. A total of 304 officially identified gifted students ranging in the age group of 12 to 17 years attended intermediate and secondary schools in Saudi Arabia. The students reported winning prestigious local and international awards across various fields (academic, scientific, and artistic). The results suggest that academic achievement played an important role in winning local awards, while cognitive ability played a more prominent role in securing international awards. The results also show some gender-based differences. The implications of these results for the promotion of gifted students are discussed.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1913646</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1913646</link>
        <title><![CDATA[Project-based learning as a tool for developing teamwork skills in IT students]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Yelena Spirina</author><author>Nadezhda Gorbunova</author><author>Nadezhda Popova</author><author>Saltanat Kopbalina</author><author>Gulim Tursyngaliyeva</author><author>Irina Samoilova</author>
        <description><![CDATA[Despite the widespread use of Project-Based Learning (PjBL) in higher education, its role in developing teamwork skills among IT students remains insufficiently explored. This study evaluates the effectiveness of PjBL in a Web Technologies course and identifies the pedagogical conditions that promote teamwork competence. The study involved 93 students of the Information Systems educational program, who were divided into experimental (EG) and control groups (CG). For EG, the training was conducted within the framework of PjBL, a team project was carried out, while CG was trained using traditional methods. The project assignments were developed in collaboration with IT industry professionals and were designed to simulate authentic real-world professional tasks. Project teams were formed based on Belbin's team role model. Teamwork skills were assessed using Stephenson's Q-sort methodology, while academic performance was evaluated based on test results. Statistical analysis included Pearson's χ² test, Student's t-test, Cramer's V, and Cohen's d. The experimental group demonstrated improvements across all assessed dimensions of teamwork and a statistically significant increase in academic performance compared with the control group (p < 0.05): the mean score increased from 67.0% to 83.4% (Δ = 16.4%; p < 0.0001). The study shows that the effective implementation of PjBL in IT education depends not only on project tasks but also on balanced team and the objective assessment of teamwork skills. The findings advance the understanding of the mechanisms involved in developing teamwork competence and provide a methodological foundation for designing competency-based educational programs in IT education.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1916143</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1916143</link>
        <title><![CDATA[Parent engagement and disaffection in child education: initial development of two multidimensional parent-report measures using qualitative methods]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Richard A. Inman</author><author>Carina M. Santos</author><author>Telmo Fernandes</author><author>Sofia Mendes</author>
        <description><![CDATA[Children and adolescents benefit in various ways when their parents are supportive of their education at home and work in healthy collaboration with schools and teachers. Yet, schools still often struggle to optimize parent engagement. In part, this may be because there is still little consensus on what it means for a parent to be engaged. Mostly, researchers and practitioners have defined parent engagement in terms of parent actions and practices. In this article, we broaden the discourse of parent influence on their children in behavioral terms by (1) considering how parent engagement also manifests in parents’ thoughts, feelings and relationships; and (2) proposing that parent engagement should be considered in combination with parent disaffection. To this end, the first aim of this study was to use qualitative methods to understand how parents, teachers, and students conceptualize parent engagement and parent disaffection in child education. We conducted focus groups with parents (N = 26), teachers (N = 23) and students (5th–12th graders; N = 28), specifically probing how individuals understood the phenomena in terms of parents’ thoughts, feelings, and actions. A thematic analysis of qualitative data yielded themes that mapped onto a proposed integrative multidimensional framework, although participants found it easiest to describe engagement and disaffection in behavioral terms. The second aim was to describe how qualitative information from focus groups informed the generation of preliminary item pools for two proposed parent-report scales: the Multidimensional Measure of Parent Engagement (MMPE) and partner Multidimensional Measure of Parent Disaffection (MMPD).]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1876214</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1876214</link>
        <title><![CDATA[Cognitive adaptation in the intelligence era (CAIE): a dynamical systems framework for education reform in the age of artificial intelligence]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Hypothesis and Theory</category>
        <author>Chung Ming Chen</author>
        <description><![CDATA[This paper introduces the Cognitive Adaptation in the Intelligence Era (CAIE) model, a dynamical systems framework that formalises how major technological revolutions impose cognitive adaptation pressure on human populations, and what this implies for the structural reform of education. We hypothesise that technology-driven cognitive pressure can be represented as a time-varying forcing function in an ordinary differential equation (ODE) system, and that education design—when informed by motivational neuroscience—can sustain positive cognitive adaptation even under accelerating AI pressure. The theoretical model defines a seven-dimensional cognitive-affective ability vector S(t)∈R7 encompassing working memory, task-switching efficiency, indexical memory, multi-agent management, metacognition, emotional intelligence, and identity stability. The evolution of S(t) is governed by an ODE integrating four forces: (1) an effective education function modulated by dopamine reward prediction error (RPE), (2) Sigmoid-shaped technology pressure calibrated against three historical revolutions (steam engine, internet, AI), (3) a three-component cognitive resistance term grounded in neuroplasticity, information-theoretic bandwidth constraints, and habitual inertia, and (4) cumulative cognitive burden from prior technological epochs. Theoretical simulation using Runge–Kutta methods yields four hypotheses: (a) traditional curricula become insufficient after the AI inflection point (∼2023); (b) CAIE-designed education with RPE-driven motivation maintains positive adaptation across all seven dimensions; (c) the optimal number of concurrently managed AI agents peaks at n∗≈3 for untrained individuals (a prediction consistent with BCG 2026 empirical data, n=1,488) and extends to 5–8 with deliberate training; (d) a critical education delay threshold τ∗≈1.25 years exists, beyond which remedial intervention becomes significantly less effective. We emphasise that these numerical values (n∗≈3, τ∗≈1.25 years) are illustrative outputs of a theoretically parameterised model rather than empirically established constants; they are presented as quantitative hypotheses to be tested, not as calibrated measurements. These hypotheses are theoretically aligned with evidence from 20+ peer-reviewed studies spanning ADHD epidemiology, cognitive load theory, dopamine-driven learning, and working memory research. Four prospective experiments are proposed to empirically test the model’s predictions. CAIE addresses a gap in the digital education literature by providing the first mathematically formalised, computationally solvable framework that simultaneously models technology-driven cognitive pressure, curriculum design, and motivational dynamics.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1856679</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1856679</link>
        <title><![CDATA[Educator workload and psychosocial well-being in South African secondary schools: a qualitative study in Limpopo Province]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Nkoata B. Mpyana</author><author>Layane T. Mabasa</author><author>Katlego Macaskill</author><author>Michael M. Buthelezi</author>
        <description><![CDATA[Psychosocial challenges in schools are becoming a challenge that is experienced in different parts of the world. This might be due to pressure and expectations of schools. This article is based on a study that focused on psychosocial challenges faced by secondary school educators in Mankweng Circuit, South Africa. While recent studies emphasise overcrowding, violence and learners’ poor performance as key stressors, administrative duties, lack of support, conflicted relationships and lack of recognition are equally significant, yet these remain absent from current policy responses. The study aimed to explore psychosocial challenges with the intention of developing a framework that is responsive to the rural context. A qualitative methodological approach was adopted using a case study design. 11 educators were interviewed, and document frameworks and policies were analysed to compare the findings. Common themes were found and developed using thematic analysis. The study reveals that a lack of institutional support, educators’ workload and systemic barriers not only increase existing challenges but also actively transform perceived challenges into continuous psychosocial challenges, thereby making educators burnout highly likely under current school settings. Therefore, the study recommends that digital integration be explored as a potential supporting strategy, alongside adequate rural infrastructure, training and institutional support, for improving resource efficiency and easing workload, overcrowding and violence. Through the provision of rural infrastructure and digital literacy workshops, centralised data management, digital assessment systems, and automated reporting, the use of digital tools and online platforms can help to minimise, adequately resourced and supported, administrative tasks. The Department of Basic Education may directly address workload-induced burnout by giving educators the psychosocial support and tools they need to use technology for administrative effectiveness, innovative education, and learner engagement. In order to enable future advanced digital educational systems in schools, future research should concentrate on educators’ support programmes using grounded theories.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1878794</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1878794</link>
        <title><![CDATA[Adaptive technology-change confidence among Saudi university faculty under Vision 2030: a three-wave longitudinal mixed-methods study]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Tahani H. Alqahtani</author>
        <description><![CDATA[PurposeSaudi higher education under Vision 2030 imposes cycles of technical change shorter than typical academic tenures. This paper estimates within-person dynamics of adaptive technology-change confidence (ATCC)—a newly developed, exploratory personal resource construct (Conservation of Resources; Job Demands–Resources) requiring further validation—over 27 months, and tests whether decline is patterned by directly measured university-level substrate turnover.DesignA three-wave panel of Saudi university faculty (T1 n = 431, 11 universities; T3 retention 77.7%) combined faculty self-reports, department chair ratings of academic performance (AP), and learning and development (L&D) lead reports of substrate turnover [the institutionally reported pace of major digital infrastructure change—learning management system updates, artificial intelligence tool adoptions, and platform deprecations], with 29 nested longitudinal interviews (longitudinal core n = 7). Analyses included latent growth modelling, the random-intercept cross-lagged panel model, and latent class growth analysis.FindingsATCC declined within person across the observation window (p < 0.001). Three trajectory classes emerged (stable, gradual decline, and steep decline). Within-person change in ATCC was associated with subsequent change in chair-rated AP more strongly than the reverse (directional asymmetry, p = 0.009; because the design is observational, this is interpreted as directional rather than causal evidence). Higher university-level substrate turnover was associated with steeper decline (p = 0.005), consistent with a preliminary timescale-dependency conjecture. Findings were robust across five quantitative sensitivity specifications, with qualitative–quantitative concordance support.Originality and practical implicationsThe paper integrates longitudinal qualitative interviews and direct substrate-turnover measurement within a multi-source mixed-methods panel, providing within-person evidence on adaptive confidence in a non-Western higher education context. Faculty development centres operating under Vision 2030 may benefit from periodic (e.g., quarterly) ATCC monitoring as an early-warning indicator, with targeted L&D outreach to the steep-decliner trajectory class. Principal limitations include reliance on an author-developed ATCC scale requiring independent psychometric replication and a level-2 sample of only 11 universities, which constrains the substrate-turnover moderation. Findings should therefore be read as preliminary and specific to the Saudi single-sector context.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1861960</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1861960</link>
        <title><![CDATA[How consistent is the algorithm? Examining the intra- and inter-rater reliability of LLM-based writing assessment]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Bayan AlAmir</author>
        <description><![CDATA[Unlike constrained constructed-response assessments, the reliability of essay-based assessments has long been debated in language education research. Recently, AI—particularly large language models—has been proposed as a tool to enhance scoring reliability. This study examines the reliability of LLM-based scoring in writing assessment. OpenAI's ChatGPT assessed 192 essays written by EFL learners using a criterion-based analytic rubric covering task achievement, grammatical range and accuracy, lexical resources, organization, and mechanics. Scoring was replicated after three weeks under similar conditions. The two rounds were compared to assess intra-rater reliability and then contrasted with human ratings to assess inter-rater reliability. Results indicated high intra-rater reliability, particularly for task achievement and organization. Lower consistency was observed for mechanics and grammatical accuracy, suggesting a need for clearer criteria or further model training. Human–AI comparisons showed slight to fair exact agreement (Cohen's kappa) and moderate agreement when accounting for the degree of disagreement.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1887990</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1887990</link>
        <title><![CDATA[Psychometric properties of a short version of the questionnaire on factors influencing degree completion among Peruvian graduate students]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Guillermo Alejandro Raffo Ibarra</author><author>Marilé Lozano Lozano</author><author>Angela María Herrera Alvarez</author><author>Maruja Dionisia Baldeón De La Cruz</author>
        <description><![CDATA[Graduate degree completion remains a major concern for higher education institutions due to its implications for academic quality, student retention, and institutional efficiency. There is a growing interest in understanding the factors associated with delayed graduation; however, evidence regarding the psychometric robustness of instruments assessing these factors in Latin American contexts is still limited. This study aimed to evaluate the internal structure and reliability of the short version of a questionnaire designed to assess factors influencing degree completion among Peruvian graduate students. A sample of 363 graduate students from a private university in Lima participated in the study. Item analysis, exploratory and confirmatory factor analyses, as well as reliability estimation, and measurement invariance procedures were conducted. The findings revealed substantial psychometric limitations, including non-normal item distributions, weak item discrimination in several indicators, and inadequate global fit for the proposed four-factor correlated model estimated via WLSMV [χ²(2,768) = 12,046, CFI = .725, TLI = .716, RMSEA = .096, SRMR = .187]. While overall reliability based on Cronbach's alpha was satisfactory, the hierarchical omega values (ranging from .41 to .68) and low AVE estimates indicated that the multidimensionality and error variance compromised the internal structural validity of the 80-item version. These findings highlight the challenges of adapting instruments related to graduate degree completion across sociocultural contexts and underscore the need for further theoretical and psychometric refinement.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1883017</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1883017</link>
        <title><![CDATA[Neither Luddite nor enthusiast: interpreting teachers’ AI use in teaching]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Nina Y. Y. Cheung</author><author>Andrew K. F. Cheung</author>
        <description><![CDATA[This study investigates how Chinese English interpreting teachers in China position themselves in relation to the growing presence of artificial intelligence (AI) in interpreter training. While existing research has largely focused on student attitudes, tools, and curriculum-level discussions, the perspectives of interpreting educators remain less visible, despite their role in shaping pedagogical practice and professional norms. Drawing on a survey of 156 interpreting teachers in Master of Translation and Interpreting (MTI) programs, the study examines multiple dimensions of AI orientation, including readiness (enabling conditions and AI evaluative literacy), reported use of AI-enabled tools, critical evaluation practice, perceived usefulness and future intention, profession-related concerns (threat to professional autonomy and perceived labor devaluation), and restrictive responses (restriction behavior frequency, human judgment/skill protection, and restrictive orientation toward AI integration). Descriptive results indicate above-midpoint levels of readiness and perceived usefulness/future intention, alongside moderate reported use with substantial variability. Correlational analyses show that enabling conditions are positively associated with tool use and with perceived usefulness/future intention, whereas AI evaluative literacy shows a small negative association with tool use and perceived usefulness, and no association with future intention. Reported use is strongly associated with perceived usefulness and positively associated with future intention. Profession-related concerns are also evident: restrictive orientation is strongly associated with autonomy threat and positively associated with perceived labor devaluation, and autonomy threat and labor devaluation are positively related. In a regression model including role and teaching experience, autonomy threat and labor devaluation do not show unique effects on restrictive orientation, while teaching experience is strongly associated with restrictiveness. The findings suggest that interpreting teachers’ engagement with AI is not captured by adoption-related constructs alone. Alongside perceived pedagogical value, profession-related concerns and experience-linked boundary-setting shape how AI is positioned in interpreter training. The study extends technology acceptance approaches by incorporating constructs related to autonomy and labor value, and it highlights the need for AI integration strategies that address pedagogical use as well as professional implications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1901680</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1901680</link>
        <title><![CDATA[Pedagogical prompting rather than technical mastery: Generative AI use by English and English-medium instruction teachers]]></title>
        <pubdate>2026-08-13T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Ali Khodi</author><author>Samantha Curle</author><author>Víctor Parra-Guinaldo</author>
        <description><![CDATA[This perspective article is grounded in professional experience and classroom observation, and its aim is to raise an issue and open it for discussion rather than to settle it. AI is often presented to teachers as a way to make educational work easier, faster, and more flexible, yet they are simultaneously confronted with a growing array of AI platforms, agents, automation systems, and technical courses. This creates a practical tension: if AI is meant to reduce teachers’ workload, it is not obvious why using it well should require them to keep learning new technical systems. One source of this tension, we argue, is the weak distinction between AI literacy and prompt engineering. We take AI literacy in language education to be a broad competence concerned with how teachers, students, and institutions learn to live, work, study, and teach responsibly in a world shaped by AI, whereas prompt engineering concerns more specifically how users design, refine, evaluate, and revise prompts to guide AI tools toward useful and responsible outputs. For English and English medium instruction (EMI) teachers, we propose that this difference matters because these teachers do not need to master AI technically; they need to learn how to make it serve teaching, learning, language support, content understanding, and student participation. We refer to this teacher-facing capacity pedagogical prompting and distinguish it from both broad AI literacy and technical prompt engineering. To make the idea concrete, we offer the Pedagogical Prompting Feedback Cycle as a teacher-oriented way of translating existing instructional expertise into AI-supported practice. We present it as a tentative conceptual model rather than a validated framework: it is meant to provoke inquiry and design, and it requires empirical validation across diverse languages, disciplines, and educational settings.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1854394</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1854394</link>
        <title><![CDATA[Curricular governance and teacher professional learning in specialized arts education: a multiple-case study of classical guitar teaching in Portuguese public conservatories (with a comparative lens on Spain)]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Romeu Curto</author><author>Nuno Fraga</author>
        <description><![CDATA[This original research examines how curricular governance arrangements shape teacher professional learning in Specialized Artistic Education by analysing Classical Guitar teaching in seven Portuguese public conservatories through a qualitative multiple-case study. Drawing on semi-structured interviews with guitar teachers conducted in focus groups (P1–P12), interviews with pedagogical leaders (D1–D7) and policy stakeholders (S1–S3), student questionnaires (n = 19), and documentary analysis of curricular and regulatory instruments, the study compares within- and across-case patterns of curriculum design, assessment, and professional learning routines. The analysis is framed by Young's argument on the specialisation of knowledge and Apple's account of curriculum as official knowledge. Findings indicate that one-to-one instrumental pedagogy supports strong personalisation and a hybrid performer–teacher identity, yet curricular autonomy without instrument-specific national reference points contributes to uneven coherence, fragile assessment comparability, and constrained student mobility, especially in peripheral and insular contexts. Assessment architecture emerges as a central governance lever: where evidence is distributed across shared rubrics, intermediate performance moments, and low-burden process records, participants report clearer expectations and more robust moderation; where high-stakes public examinations dominate, teaching priorities narrow and opportunities for collaborative learning weaken. Technology is valued when it serves concrete artistic functions and is constrained when introduced as an administrative layer without pedagogical purpose or data-protection safeguards. A comparative lens on Spain is used for policy learning by contrast, suggesting that national descriptors and moderation mechanisms can coexist with regional and institutional autonomy. The article advances the concept of a “light curricular contract” — cycle-based learning outcomes, core assessment rubrics, peer moderation, and minimal organisational conditions — as a feasible leadership framework for aligning artistic rigour with curricular justice.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1886530</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1886530</link>
        <title><![CDATA[Designing challenge for discovery in skill learning: toward self-regulated and representative adaptation]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Truls Valland Roaas</author><author>Håvard Lorås</author>
        <description><![CDATA[Skill learning is often discussed in terms of closely related but insufficiently integrated concepts: challenge, instructional methods, discovery, self-regulation, specificity, retention, and transfer. As a result, practice design is frequently reduced to either adjusting task difficulty or prescribing movement solutions more explicitly. Compounding this, learning is routinely inferred from immediate performance quality, even though performance and learning unfold on different timescales and across qualitatively distinct contexts. This Perspective article advances a different view: skill learning is best understood as the progressive differentiation and calibration of affordance relations under functionally representative constraints. On this view, challenge is not a fixed property of tasks but a learner-relative, information-generating relation among the learner, the task, and the performance context. Discovery is the exploratory process through which learners search, differentiate, tune, and stabilize affordance relations. Self-regulation is the recursive process through which learners define tasks, monitor consequences, sustain motivation, and adapt their actions over time. Specificity is reframed through representative learning design, where the critical requirement is not superficial resemblance or high-fidelity mimicry but functional equivalence between practice and performance: the preservation of the affordances, timing demands, and constraints that regulate skilled activity. Improvement, in turn, is judged not by immediate performance gains alone but by retention, transfer, adaptability, and the development of self-regulatory capacity. Together, these claims reposition challenge, discovery, self-regulation, and representative learning design as interdependent elements of a single learning-design problem. The reframing carries direct implications for how improvement should be defined and evaluated, and for how practitioners across physical education, sport, coaching, and therapy might design conditions for durable, transferable, and adaptive skill.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1865354</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1865354</link>
        <title><![CDATA[Developing the professional competence of future teacher-psychologists through Neuro-Linguistic Programming]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Arailym Kuanyshbayeva</author><author>Fatima Zhumabekova</author><author>Özlem Baş</author><author>Kalipa Atemova</author><author>Akbidash Abdirkenova</author><author>Askarbek Yergaliyev</author>
        <description><![CDATA[This study aimed to explore how future teacher-psychologists in Kazakhstan conceptualize professional competence and how they evaluate the usefulness, feasibility, and ethical boundaries of Neuro-Linguistic Programming (NLP) in educational settings. The study was designed within a qualitative phenomenological framework. The participants consisted of 56 undergraduate students enrolled in Pedagogy-Psychology programs at two universities in Kazakhstan. Data were collected during February-March 2026 through a semi-structured interview questionnaire including four main questions and four probe questions, and were analysed using thematic analysis. The findings were organized under four themes: understanding professional competence, communication and rapport, self-regulation and professional identity, and NLP use, feasibility, and ethics in educational settings. Participants defined professional competence as a multidimensional and practice-oriented construct involving the application of theoretical knowledge, child-centred support, collaboration, and ethical responsibility. Communication and rapport were viewed as foundational to effective school psychology practice, while self-regulation was associated with professionalism under stress. NLP was generally perceived as a potentially useful supplementary tool for rapport-building, motivation, and emotional support; however, participants emphasized that it should be used cautiously, ethically, and together with evidence-based methods. The study highlights the importance of integrating applied competence, relational communication, reflective self-regulation, and critical methodological awareness in the preparation of future teacher-psychologists.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1772859</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1772859</link>
        <title><![CDATA[Digital reading didactics in primary education: insights into differentiated digital reading instruction]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Fabian Feyertag</author><author>Elisabeth Stabler</author><author>Lisa Paleczek</author>
        <description><![CDATA[Reading texts on a screen has become a routine part of everyday life. While teaching reading in primary school, this calls for practical didactic approaches combining differentiation, digitalization and cross-curricular content. This study examines how digital differentiated cross-curricular reading materials (EFADIL) are implemented in Grade 3 classrooms in Austria. A mixed- methods design integrates teacher interviews (N = 34), classroom observations (N = 33), and student questionnaires (N = 605). The findings reveal tensions between perceived advantages, disadvantages, and enacted classroom practices. The materials provided a motivating learning environment and enabled differentiation and independent work. Simultaneously, they might lead to superficial and rapid task processing, along with variations in the use of the interactive digital features (e.g., glossary word function). Tasks requiring language production were often perceived to be more cognitively demanding. The study reveals instructional guidance, the teachers' role, and dimensions of instructional quality to be key factors in ensuring that digital differentiated materials support effective and inclusive reading instruction.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1885720</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1885720</link>
        <title><![CDATA[What makes a highly productive PhD student?]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jingyu Yu</author><author>Zhenyu Cao</author><author>Guixia Liu</author><author>Ji Lv</author>
        <description><![CDATA[Understanding the factors associated with the doctoral research productivity is increasingly important in the context of performance-based evaluation systems and growing competition in academic labor markets. In this study, we examine the determinants of doctoral research productivity using a dataset of 192 PhD graduates from the College of Computer Science at Jilin University between 2020 and 2025. We focus on student- and supervisor-related characteristics. The results indicate that student gender has limited association with research productivity, whereas students’ prior educational backgrounds, research areas, training pathways, and study duration are associated with differences in research outcomes. Supervisor gender also shows limited association with productivity, while supervisor age and academic rank are more strongly associated with doctoral research performance. Overall, the findings suggest that doctoral research productivity is shaped by a combination of student characteristics, supervisory factors, training processes, and external conditions. These results provide insights for improving doctoral training and research evaluation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1871849</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1871849</link>
        <title><![CDATA[Student perceptions of flexible learning in Philippine higher education during COVID-19 and implications for crisis-responsive monitoring]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Adrian P. Ybañez</author><author>Joselito F. Villaruz</author><author>Aline G. Magalong</author><author>Marilyn D. Cardoso</author><author>Edgar A. Orden</author><author>Ryan Michael F. Oducado</author>
        <description><![CDATA[Flexible learning system (FLS) became a centerpiece continuity strategy among Philippine higher education institutions during COVID−19. However, its structure and variations across groups of students were unknown. Data were collected from a sample of 12,525 students across higher education institutions in Luzon, Visayas, and Mindanao to study psychometric properties of an FLS questionnaire and relationship of retained domain scores to student profile and teaching-learning technology variables. Sample largely consisted of female respondents (67.5%), individuals who utilized a learning management system during the pandemic (57.9%), and individuals with slow internet connectivity (57.8%) while only 11.8% had fast internet connectivity. Results from our exploratory study provided support for the four-domain structure (Support, Resources and Digital Proficiency, Readiness for Self-Regulated Learning, Barriers and Challenges) which showed good factorability [KMO = 0.944; Bartlett's χ²(325) = 178,200, p < 0.001]. Confirmatory factor analysis indicated model fit was better than a one-factor model, however fit indices were not ideal (CFI = 0.850, TLI = 0.834, RMSEA = 0.098, SRMR = 0.071). Internal consistency was strong for Support (α = 0.862), Resources and Digital Proficiency (α = 0.824), and Readiness (α = 0.832), but weaker for Barriers (α = 0.658). In FDR-adjusted HC3-robust multivariable models, poor vs. fast internet was associated with lower Resources (B = −0.542, p < 0.001) and lower Readiness (B = −0.172, p < 0.001). In contrast, higher digital literacy and prior LMS experience were associated with more favorable scores across several domains (all p < 0.05, FDR-adjusted). Qualitative themes identified connectivity as the dominant challenge (69.6%), while better understanding or learning effectiveness (32.0%) and accessibility or convenience (14.6%) shaped preferred modes of instruction. Overall, FLS during the COVID-19 period was workable but uneven, with support and learner persistence rated more favorably than resource sufficiency and barrier relief. The instrument may serve as a low-stakes institutional monitoring tool during COVID-analogous disruptions, although the Barriers domain still requires refinement and revalidation.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1924482</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1924482</link>
        <title><![CDATA[Facebook as a learning node: a theoretical proposal of a private connectivist group for the collective construction of knowledge in higher education]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Hypothesis and Theory</category>
        <author>Cristián Londoño-Proaño</author><author>Jeanneth Caroline Galarza-G</author><author>Eulalia Beatriz Becerra García</author>
        <description><![CDATA[Social networks have transformed the way young people relate to knowledge. The intended pedagogical use in higher education is still barely theorized. Our article proposes a theoretical design of a private Facebook group as a connectivist learning space for university students in the first levels of the Education career. The objective is to theoretically argue how a private Facebook group, structured under connectivist principles, can constitute an intentional learning node that favors the collective construction of knowledge about the role of the teacher in the digital age. Methodologically, we adopt a non-empirical approach, inscribed in the conceptual and theoretical tradition, which articulates the principles of connectivism of Siemens and Downes with the pedagogical possibilities of existing social networks. We include conceptual instructional design without reaching its empirical implementation. Our paper posits a closed, moderated space on a well-known social platform where students can reduce technological friction, activate authentic cognitive and relational connections. We conclude that the instructional design of the group is the determining condition for the emergence of connectivist learning and not the platform itself.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1892378</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1892378</link>
        <title><![CDATA[Who attends PhD supervision training? A multi-year snapshot of gendered participation in a Nordic graduate school]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Marius Ole Johansen</author><author>Rune Johan Krumsvik</author>
        <description><![CDATA[PhD supervision training has become an increasingly important component of academic development in higher education, yet little attention has been paid to who actually participates in such initiatives. Because participation is typically voluntary, attendance may reflect patterns of self-selection rather than the composition of the broader academic workforce. In this Perspectives paper, we provide a descriptive snapshot of participation in PhD supervision seminars offered through a large Nordic graduate school in educational research, involving participants from approximately 15 universities and university colleges. The analysis draws on attendance records from six annual seminars conducted between 2019 and 2024. After excluding a small number of administrative staff and researchers, the final sample comprised 145 associate professors and professors. Women constituted a majority of attendees, and logistic regression analyses indicated that the estimated probability of an attendee being male was approximately 22% (OR=0.28). This gender imbalance did not vary meaningfully by academic rank and remained stable across the six-year observation period. A non-parametric bootstrap analysis with 1,000 resamples confirmed the robustness of the overall pattern. Results suggest that participation in voluntary academic development activities may diverge from the demographic composition of the underlying academic workforce, even in contexts where women already constitute a slight majority of academic staff. Although the present study does not address the causes of this pattern, it highlights participation itself as an underexamined aspect of academic development and raises questions about how such initiatives are communicated and structured within higher education.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1837996</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1837996</link>
        <title><![CDATA[Integrating Islamic values into global education strategies: challenges and sustainable practices]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Yusuf Abdulrasaq</author><author>Yusuph Dauda Gambari</author>
        <description><![CDATA[IntroductionExisting scholarship extensively discusses the normative compatibility between Islamic ethical principles and the United Nations Sustainable Development Goals (SDGs). However, limited attention has been given to the structural, pedagogical, and policy-related challenges involved in operationalizing these values within contemporary global education systems. This study addresses this gap by systematically examining how Islamic values are integrated into global education strategies, with a particular emphasis on curriculum reform, multicultural pedagogy, teacher preparedness, and institutional sustainability.MethodsUtilizing a Systematic Literature Review (SLR) approach adhering strictly to the PRISMA guidelines, this study expanded its bibliographic search scope across premier indexed databases including Scopus, Web of Science, ERIC, and Google Scholar. Applying explicit inclusion and exclusion criteria, an initial pool of 1,420 records was systematically filtered down to a final analytical sample of 28 high-quality, peer-reviewed sources. The selected literature was analyzed using a formalized six-phase thematic analysis framework to identify recurring patterns, implementation barriers, and sustainable educational practices.ResultsThe findings reveal that while Islamic educational ethics strongly resonate with global educational goals like social justice, inclusivity, moral responsibility, and environmental stewardship, implementation remains constrained by five major factors: tensions between secular and faith-based educational frameworks, inadequate teacher training in multicultural pedagogy, fragmented curriculum structures, institutional resource limitations, and societal resistance to pluralistic educational models. Successful integration is most effective when Islamic ethical principles are embedded across disciplines through interdisciplinary curricula, value-based pedagogy, continuous professional development, and collaborative cross-sector partnerships.DiscussionThe study contributes to current scholarship by shifting the discourse from abstract compatibility between Islam and the SDGs toward a more implementation-oriented analysis of educational transformation, culminating in the proposed Holistic Sustainable Islamic Education Integration (HSIEI) model. It concludes that sustainable integration requires adaptive curricula, inclusive policy frameworks, and pedagogical models capable of balancing religious identity with global citizenship in multicultural societies. Future research should prioritize longitudinal empirical research to quantitatively measure the impact of integrated value-based curricula on civic behavior and intercultural tolerance.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/feduc.2026.1883169</guid>
        <link>https://www.frontiersin.org/articles/10.3389/feduc.2026.1883169</link>
        <title><![CDATA[Knowing intervention needs through the intersection of dropout factors and the CASEL framework: a case study of a tribal village in India]]></title>
        <pubdate>2026-08-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Kemo Juwara</author>
        <description><![CDATA[IntroductionOne major obstacle to the realisation of a sustainable dropout reduction programme is the lack of an appropriate intervention design. This study employed a participatory research process to develop a sustainable dropout reduction design/solution by mapping community insights from a dropout factor study against the Collaborative, Academic, Social and Emotional Learning (CASEL) five SEL competencies framework as a guide.MethodologyThe study drew participants from seven stakeholder groups, namely, a village leadership group comprising key informants, panchayat officials, and Asha workers; a self-help group; a parent leadership group consisting of parents with a child in school; a youth leadership group involving young men and women; a student leadership group including current students, dropouts, and graduates; a school leadership group comprising teachers, administrators, and security officials; and a policy leadership group involving education officers, tribal affairs officers, and block development officers. In total, 36 unique participants participated in focus group discussions (FGDs; six per group, i.e., three males and three females); 24 of these participants (four per group, i.e., two males and two females) also underwent semi-structured interviews. This population was selected using purposive sampling. Using the interview and FGD codes, the study uncovered seven dropout factorial themes, namely, lack of interest, low parental awareness, insufficient income, unsuitable learning infrastructure, uncertainty of employment, negative beliefs about learning, and dislike for school boarding. The factors identified led to low performance, an increase in child labourers and child marriage, substance abuse, high absenteeism, low attendance, and an increase in withdrawal rate. The dropout factors identified from the interview and focus group discussions were coded into different themes using Atlas.ti, and themes from the FGDs and interviews were triangulated by matching common themes. These themes were then mapped to the five SEL dimensions of the CASEL framework using pattern matching.ResultsThe overall findings of this study suggest that the dropout factors identified clearly associate with the five dimensions of the CASEL framework, with self-awareness, emotional, and social awareness factors considered most influential.DiscussionIt also indicates that dropout rates can be reduced by developing students' valuing skills (SA); emotional control and goal-setting skills (SM); empathetic and diversity appreciation skills (SA); communication and collaboration skills (relationship building skills); and resistance to challenges and good choice-making skills (problem-solving and relationship). These uncovered associations generate hypotheses for SEL-focused dropout prevention, which necessitates experimental research to test whether building SEL-specific competences will reduce dropout-risk behaviour among students.]]></description>
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