Search Results (8,186)

This study, which aimed to instill values effective in developing social adaptation skills in students with special needs through traditional Turkish Cypriot children’s games, employed an action research model within a qualitative research design. The participants in the study were 5 students with mild intellectual disabilities aged 9 to 12. In the first step of the two-stage implementation plan, data were collected by having the students play traditional Turkish Cypriot children’s games, selected by the researchers and containing the relevant values, three times a week. In the second step, on the day following the game phase, the students’ acquisition of the target value was assessed through worksheets containing activities prepared by the researchers, which covered the basic points related to the target value. The aim was to instill 8 core values through applications that continued for a total of 5 weeks. After the completion of the application phase, a one-week break was given. During this period, the aim was to determine the short-term retention level of the targeted values. After a one-week follow-up, the researchers evaluated whether the students had learned the relevant values permanently in the short term through visuals and texts. The findings of this study, in which traditional Turkish Cypriot children’s games were practiced three times a week for five weeks, show that the games positively contributed to the learning of the targeted values and that the children adopted these values. However, the findings reflect only short-term retention; longer-term follow-up studies are needed to assess the long-term internalization of the values. Full article

Learning to write begins before formal schooling through everyday interactions where children construct ideas about print. Informed by socioconstructivist theory, this quasi-experimental study evaluated the impact of naturalistic, teacher-mediated cooperative invented spelling activities in Portuguese preschools. The participants were 88 five-year-olds from six classes in three schools. Classrooms were randomly assigned within schools to an intervention group (n = 43) or a comparison group (n = 45). For two months, the intervention group engaged in weekly spelling discussions integrated into regular activities, while the comparison group followed the standard curriculum. Pre- and post-intervention spelling assessments and classroom observations were conducted. The results showed a strong positive intervention effect. The intervention group demonstrated significantly greater improvement in representing sounds in their spelling than the comparison group. Observations revealed that when teachers scaffolded discussions with open questions, and children, with varying knowledge levels, helped each other by explaining their thinking. This transformed spelling into a shared problem-solving task. The study confirmed invented spelling as a valuable classroom activity that advances alphabetic understanding. It was demonstrated that early literacy can be effectively nurtured through structured dialogue and collaboration within the regular preschool day. These findings provided a practical, theory-aligned model for supporting literacy development through social interaction. Full article

Social media is an integral part of everyday life for women from migrant and refugee backgrounds and is sometimes recognised as a ‘critical lifeline’ enabling access to essential support during settlement. Despite this, Culturally and Linguistically Diverse (CALD) women in Australia often have limited and uneven access to critical social media literacy education opportunities, and there remains a lack of in-depth research exploring what CALD women want to learn and how they wish to participate in such educational interventions. Adopting an education justice approach, this article advances a framework for social media literacy education developed with women from refugee backgrounds. The study employed semi-structured interviews and co-design workshops with women from refugee backgrounds, alongside staff from local public libraries and refugee support organisations. The study demonstrates that women from refugee backgrounds primarily use social media for communication and connection, but are also interested in learning how to use these platforms to navigate sexism, racism, and other systemic barriers to settlement. The proposed framework—which can be adopted by public libraries and other grassroots organisations—responds directly to women’s calls for peer-led, value-driven, context-specific, and culturally responsive social media literacy interventions. Full article

The pedagogical efficacy of artificial intelligence (AI) technologies in education heavily depends on cultural, technological, and cognitive contexts. Prior studies examined AI-driven learning outcomes without accounting for cultural variability or sufficiently anchoring their analyses in robust theoretical frameworks. The current study discusses the interconnection between AI technologies, learner competencies, and educational outcomes, in addition to the significance of digital and media literacy in secondary foreign language teaching. It employs Hofstede’s cultural dimensions theory, the technology acceptance model, and sociocultural learning theory to examine how AI technologies affect learning outcomes of English as a foreign language among Lebanese high school students. One hundred and eighty high school students in Mount Lebanon were given a 20-item survey using a quantitative research design. The results were analyzed using statistical tests and analyses in SPSS version 27.0.1. The findings indicate that AI technologies significantly enhance student learning outcomes: affective and motivational outcomes (45%), social and collaborative competencies (35%), and English language proficiency (accounting for 43% of variance). Furthermore, these relationships are strongly moderated by digital and media literacy, which increases the beneficial effects of AI on learning outcomes. The findings also show that students’ opinions, engagement, and acceptance of AI-supported language learning are influenced by cultural traits. Full article

Background/Objectives: Observational learning allows people to acquire new skills by observing the actions of others embedded in their social environment. From childhood, observational learning is a central process in human cognitive development, playing a crucial role in the acquisition of complex skills. Children and adults with autism spectrum disorder (ASD) often exhibit deficits in what are considered prerequisites for observational learning to occur (i.e., attending, imitation, delayed imitation, consequence discrimination). Considering this, the present review examined the literature on the complex and timely question of whether individuals with ASD can learn by observation, while accounting for the social versus non-social nature/content of the tasks. Methods: This work was a narrative review aimed at providing an overview of published studies in which observational learning was analyzed in individuals with ASD. Twenty-two studies met the inclusion criteria and were eligible for this review. Results: The core findings indicate that individuals with ASD may be able to learn by observing others, especially when taught the prerequisites for observational learning. Furthermore, the findings indicate that observation may be an effective way to expand the typically restricted and circumscribed interests of children with ASD and to increase emotion recognition skills. Conclusions: Overall, these findings have significant educational, clinical, social, and economic implications, supporting the use of observational learning strategies for both social and non-social skills to reduce reliance on expensive one-on-one teaching and to address some of the core deficits of ASD. Full article

Media-based cultural diversity education is approached here as an analytical synthesis that brings together established research traditions in media and communication studies, including mediatization, representation, and framing. It refers to the process through which media are understood to function as informal educational environments that shape how audiences learn about and interpret cultural differences. In contemporary mediatized societies, media institutions, including television and digital platforms, are understood to shape public understandings of diversity through the selection, framing, and visual representation of minority groups. Television is widely regarded as a particularly influential medium because of its wide reach and its institutional role in producing authoritative narratives about social reality. Through news reporting, documentaries, and other factual programming, television has been shown to circulate meanings about cultural diversity and provide audiences with interpretive frameworks through which minority groups are publicly understood. These communicative practices have been shown to influence how audiences perceive cultural difference, interpret social issues, and negotiate questions of belonging within society. By organizing narratives, frames, and visual repertoires through which cultural groups are portrayed, television has been shown to contribute to the formation of shared social knowledge about diversity and about relationships between majority and minority communities. In this sense, television can be understood not only as a channel of information but also as a cultural institution that shapes symbolic boundaries between social groups and influences perceptions of inclusion and exclusion. As an illustrative context, this entry also refers to representations of Roma communities in Central European media environments, where antigypsyism may be understood as a mediated cultural process embedded in everyday media communication. Full article

This study explores the latent structure of students’ perceptions about (a) teacher strategies to promote interaction (FOM) and (b) perceived interaction with actors and content (ACT) in undergraduate courses. Using survey responses from 158 students, we conducted exploratory factor analysis (MINRES, varimax) after assessing factorability (KMO, Bartlett) and factor retention (parallel analysis). Analyses were conducted in Python (Google Colab) using pandas, NumPy, SciPy, factor_analyzer, and Pingouin. an interpretable two-factor solution in which FOM items load primarily on one factor, while a subset of ACT items (Act5–Act8) loads more strongly on a second factor, although several ACT items and some FOM items also show non-trivial cross-loadings. We interpreted factor loadings ≥ 0.30 and report results based on the corrected item set. Findings are exploratory and suggest that perceived promotion of interaction aligns more closely with within-course interaction targets than with extra-course ones. Full article

As high rates of sexual violence worldwide have increasingly been met with educational initiatives promoting sexual consent as a core preventive strategy, it becomes crucial to understand how consent is actually conceptualized in specific sociocultural contexts. This study examines how a group of adult women in Chile conceptualize sexual consent and how their understandings align with, expand or diverge from the definition promoted by the World Association for Sexual Health (WAS), a widely adopted international framework. Using a therapeutic writing methodology designed to support emotional safety and reflective depth, 34 women completed a collective writing workshop. For this paper, the main writing exercise was analyzed through thematic analysis. Results show three overarching themes: sexual consent as a self-directed and desire-aligned experience; the intricacies of giving in to sexual encounters as shaped by social expectations, emotional pressures, and relational considerations; and the tensions when differentiating consent from giving in, a distinction experienced as meaningful yet fluid and learned over time. Together, these findings reveal that our participants’ conceptualizations of sexual consent extend beyond normative international models, highlighting the need for attuned consent frameworks and educational approaches designed to prevent sexual violence. Full article

The maritime industry is under increased challenges of balancing operational effectiveness and environmental responsibility. This study examines the application of intelligent agents as a technology that can align these two goals in the triple-bottom-line model that involves social responsibility, environmental footprint, and economic sustainability. An agent architecture taxonomy is outlined and adapted to the maritime industry, distinguishing between reactive, deliberative, hybrid, and multi-agent systems (MAS). The application of these architectures is analysed throughout the maritime domain. In the ship-centric environment, the analysis highlights the role of agents in autonomous navigation, energy-efficient meteorological routing, and predictive maintenance. The analysis in the port and supply-chain domain demonstrates a shift towards decentralized asset orchestration and logistic coordination rather than centralized control. The paper outlines certain barriers to widespread adoption, namely the reality gap of simulation-based training and the lack of transparency in deep-learning models (“black box” problem). The paper concludes by outlining a future research agenda proposing a use of explainable artificial intelligence (XAI), high-fidelity simulation-to-real transfer, and communication protocol standardization to continue the trend of developing strong autonomous capabilities in sustainable maritime logistics. Full article

It is difficult to capture the realities of the illicit antiquities market because of the lack of accessible, unsiloed data from underground trade networks. Despite existing literature on social network analyses and machine-learning experiments with antiquities data, there is a gap in simple open-source methodologies accessible to the non-academic public. By using a provenance-based analysis, we present a case study of the Italian antiquities trafficking networks that more fully captures their complexity. This study culls provenance data from repatriated antiquities gathered in the Museum of Looted Antiquities’ dataset to create a network visualization for analysis. Using open-source provenance and repatriation data from 1950 to July 2025, we built a dataset of 233 repatriation events with 15.858 objects to produce a network that reveals central actors, roles, and locations while staying within ethical privacy limits. This study captures large portions of the trafficking network by using accessible data and produces a reproducible, ethically framed workflow. Full article

Massive Open Online Courses (MOOCs) serve as catalysts for sustainable education by democratizing access to lifelong learning. While this potentially positions them as a key driver of the United Nations Sustainable Development Goal 4 (SDG 4), their long-term impact depends heavily on the implementation of inclusive design and ethical governance. This study evaluates the social sustainability of the AKADEMA platform—defined through equity of access, institutional trust, and long-term learner retention—using Badrul Khan’s e-learning framework. Employing a multi-layered mixed-methods design, the study triangulates subjective user perceptions—gathered via quantitative surveys (N = 209; a convenience sample of 6140 contacted users) and qualitative insights (n = 122)—with objective structural evidence from a technical accessibility audit. Although the results indicate high satisfaction with pedagogical quality, the findings reveal specific structural nuances regarding platform inclusivity and user diversity. Specifically, data triangulation highlights a notable ‘privacy awareness gap’—where working professionals demonstrate higher sensitivity regarding data governance than learners—alongside structural barriers hindering ‘Universal Design’ for learners with disabilities. Consequently, to strengthen the sustainability of open education models, future strategies should emphasize digital equity and institutional trust, ensuring that technical environments align with the promise of inclusive quality education. Full article

School-based social and emotional learning (SEL) programs have the potential to meaningfully foster healthy development. NaliniKIDS is a school-based program designed to focus on promoting SEL and school connectedness by bridging physical and mental health through exercises, a book series, and schoolwide activities. This mixed-method study explored the effects of NaliniKIDS on students’ mental health and school climate and the teachers’ perspectives regarding the implementation in a racially diverse, urban, Title I public elementary school. Quantitative data comprised of student (N = 253) and parent (N = 29) self-reports at pre- and post-test; qualitative data were collected via two focus groups with teachers (N = 10 participants). Survey results showed small increase in prosocial behavior among students after NaliniKIDS implementation. Focus groups highlighted the importance of training, protecting time and resources, and adapting the program to students’ background to maximize its implementation and relevance. NaliniKIDS may be a promising SEL program that facilitates the integration of physical and emotional health. The findings emphasize the health benefits of investments and policies focused on school-based programs that are integrated in the school. The successful implementation of SEL programs such as NaliniKIDS may significantly promote elementary student physical and mental health. Full article

Background/Objectives: Children and young people (CYP) with a learning disability are at higher risk of living with overweight and obesity and may consume fewer fruits and vegetables compared to the general paediatric population. They are more likely to experience eating and drinking difficulties, restrictive eating, and mealtime behavioural challenges. The school environment is considered an ideal setting to improve CYP’s dietary intakes. The primary objective was to identify existing interventions to support healthier food choices for CYP attending specialist schools. Secondary objectives considered intervention development, fidelity and outcomes. Methods: A scoping review and narrative synthesis. Eligible studies were identified from bibliographic databases (e.g., Medline, Embase, PsychInfo) and grey literature (e.g., Clinicaltrials.gov, the Cochrane Library). A two-stage screening process was used. Intervention components were mapped according to the TIDieR-PHP and AACTT frameworks. Results: Seven studies, reported in ten records, were included. Interventions included modifications to the dining environment, sensory exploration, health promotion and social reinforcement. Interventions were implemented across the school day: lunchtime (n = 2), breaktime (n = 3) and other times (n = 2). Studies mainly focused on adolescents. There was some mixed evidence of increased consumption of fruits and vegetables, whole grains and water. Due to small sample sizes and heterogeneity, definitive conclusions are limited. A key finding is the lack of interventions to improve CYP’s food choices in specialist schools. Conclusions: This review highlights a crucial need for the development of multi-component interventions co-produced with stakeholders to promote healthy food choices and improve the dietary intakes of CYP attending specialist schools. Full article

In this paper, by means of a comprehensive analysis of the statutory and non-statutory documents that govern its preschool provision, we examine how early childhood education and care (ECEC), particularly in relation to mathematics, is conceptualised by the English educational authorities. Situated within international debates about economic (school-readiness, accountability-driven) versus social (holistic, play-based, rights-oriented) models of ECEC, the study explores how curriculum expectations, assessment practices and didactical guidance collectively frame young children’s learning opportunities. Drawing on a document-based analytic approach, and guided by six literature-derived questions, the analysis reveals significant inconsistencies both within and between documents, including conflicting messages about the purpose of preschool, an uneven emphasis on school readiness, and ambivalent statements regarding the role of play, instruction and practitioner agency, as well as contradictory and shifting expectations surrounding the scope, status and pedagogical treatment of early mathematics. While statutory materials frequently privilege school readiness and narrowly defined number outcomes, non-statutory guidance promotes broader mathematical thinking, exploratory play and child-initiated reasoning. Overall, the findings demonstrate limited coherence across the English authorities’ ECEC expectations and highlight the interpretive and professional challenges faced by practitioners expected to implement this fragmented early years mathematics policy landscape. Full article

Autism Spectrum Disorder (ASD) is defined by ongoing difficulties in social communication, flexibility in behavior, and adaptive learning skills. Interventions that utilize robots have demonstrated potential in providing organized training for children with ASD; however, there is a lack of controlled studies that specifically examine the effects of reinforcement strategies. This research introduces a systematic interaction policy based on reinforcement, founded on the principles of Applied Behavior Analysis (ABA), and assesses its effectiveness through a randomized controlled experimental design with observation. The humanoid robot NAO was used in two different interaction scenarios, one involving a reinforcement condition (RC) and the other a non-reinforcement condition (RC), ensuring that the instructional material and environment were maintained, while only the availability of contingent positive feedback was altered. A total of 50 participants diagnosed with ASD Level 2 engaged in structured word-learning sessions. Learning outcomes were assessed using institutional performance criteria, average response time, and emotion analysis derived from a CNN-based facial expression model. Independent samples t-tests revealed statistically significant improvements in both performance scores (t(48) = 3.779, p < 0.05) and response times (t(48) = 3.758, p < 0.05) in the reinforcement condition compared to the non-reinforcement condition. The findings demonstrate that structured ABA-based reinforcement within robotic interaction significantly enhances learning efficiency and task engagement, contributing methodologically rigorous evidence to robot-assisted ASD intervention research. Full article