Redfame Publishing: E-Journals
Not a member yet
4854 research outputs found
Sort by
The Effectiveness of Using Augmented Reality Applications with 5E Inquiry-based Learning Model on Student Achievement and Motivation in the Moon Phases Topic
Full text linkThis study evaluated the effectiveness of the My Lunar AR application integrated with the 5E inquiry-based learning model in improving Year 5 students’ achievement, motivations in learning of the Moon Phases topic. Using a quasi-experimental design with 60 students, data were collected through pre- and post-tests and motivation questionnaires. Results from paired sample t-tests showed that students using My Lunar AR within an inquiry-based environment achieved significantly higher scores than those taught through conventional methods. Motivation toward the AR application was also highly positive. However, correlation analysis showed no significant direct relationship between achievement and motivation, suggesting that each operates independently. The integration of AR with inquiry-based learning supported active exploration, critical thinking, and conceptual understanding, making the lesson more interactive and engaging. Overall, the findings highlight the promise of AR-enhanced inquiry-based learning for improving student outcomes and supporting innovative, student-centred science instruction. Future research should apply this approach to other science topics and broader student groups to further validate its effectiveness
Inversion as a Mechanism of Influence in Political Communication
Full text linkIn political communication, inversion is an effective tool of expressiveness that emphasizes key messages for the purpose of evoking an emotional response and building the speaker’s authority. The relevance of the study is determined by the need for a deeper understanding of the functions of inversion in times of crisis, in particular, a full-scale war in Ukraine. The aim of the study is to identify the types, functions, and effectiveness of inversion as a rhetorical device in political speeches delivered in Ukrainian, English, French, and German during 2022–2025. Public speeches by key political leaders: President of Ukraine V. Zelenskyy, former US President D. Biden, current US President D. Trump, Prime Minister of Great Britain K. Starmer, President of France E. Macron, and leader of the German opposition F. Merz were used as the materials for the study.. The study is based on the content analysis of 800 speeches — 200 for each language (Ukrainian, English, French, and German). Quantitative analysis and an empirical survey of 200 respondents with different linguistic backgrounds were also used. As a result, 5 main types of inversions (the most common is verbal, 34.4%) and 4 main functions (the most common is emotional impact) were identified. The survey revealed significant interlinguistic differences in the perception of inversion constructions in political discourse. The academic novelty is the comprehensive empirical approach to the study of inversion as a cross-cultural rhetorical tool. Further research prospect is the analysis of inversions in social networks in comparison with official speeches of politicians
The Knowledge Economy and Innovation: A Glance at Their Relationship
Full text linkThis paper offers a conceptual review of the relationship between the knowledge economy and innovation, challenging simplistic, linear assumptions about how new ideas are generated. Given their increasing global significance, the study focuses on Fourth Industrial Revolution (4IR) technologies. Specifically it examines the nature, evolution, and defining features of the knowledge economy. Such an economy relies on increasing specialization, research, innovation, and continuous learning, with learning and experience being its most critical sources. Furthermore, the paper argues that innovation constitutes a fundamental dimension of the knowledge economy, noting that knowledge production is strictly related to innovations. Rather than a sequential chain, innovation is presented here as a complex, systemic process characterized by multiple feedbacks and loops.This analysis highlights the systemic, non-deterministic nature of innovation and its strong relationship with knowledge. However, the capacity of companies to innovate depends heavily on the innovation ecosystem—the framework where stakeholders interact and collaborate—as well as the regulatory and legislative framework. Consequently, several factors, including the availability of sufficient human capital with appropriate education and advanced skills, the presence of robust infrastructure, and the role of institutions, are necessary to make companies' innovations effective. While this paper does not claim to provide definitive answers, it seeks to offer new insights for future research
Political Communication and Digital Participation in Arequipa, Peru: Social Media Consumption and Media Credibility
No full textThis study examines the relationship between social media use for political information, digital citizen participation, and media credibility in Arequipa, Peru's second-largest city. The sample consisted of 4,769 adults residing in urban areas of four provinces. A quantitative, non-experimental, cross-sectional design with a correlational-explanatory scope was used. Data were collected using a structured questionnaire administered in person between November and December 2024. The analysis was performed using structural equation modeling with Partial Least Squares (PLS-SEM) using SmartPLS 4.0. The main findings are: (1) the use of social media for political information is positively associated with digital citizen participation (β = 0.614, p < 0.001); (2) the use of social media is negatively associated with media credibility (β = -0.312, p < 0.001); (3) digital citizen participation is negatively associated with media credibility (β = -0.418, p < 0.001); (4) digital citizen participation partially mediates the relationship between social media use and media credibility (VAF = 45.2%); (5) age moderates platform preference, with young users adopting TikTok and Instagram more intensely; and (6) socioeconomic status moderates the relationship between social media use and media credibility, being more negative in lower socioeconomic strata. Facebook dominates with 75.1% among social media and 42% among all information sources, while 66% of respondents report a negative image of journalists. The results show changes in information consumption patterns, with digital platforms replacing traditional media and eroding media credibility
Catwalk to Consumer: Critical Communication Considerations for Fashion Designers to Achieve Omnichannel Success in South Africa and Germany
No full textIn the evolving retail landscape, fashion designers must strategically navigate omnichannel platforms to meet diverse consumer expectations. This paper addresses the limited understanding of how consumers in South Africa and Germany prioritise omnichannel success factors, which affects fashion designers’ ability to implement communication strategies that drive engagement and sustained patronage. The empirical research conducted aims to identify the preferences that influence consumers’ omnichannel loyalty across online and offline environments. The key research questions are (1) What are the critical omnichannel factors fashion designers should prioritise for effective communication with consumers? and (2) How do these factors differ between South Africa and Germany? Implementing a quantitative approach, the study utilised quota sampling of 1,043 consumers, 511 in South Africa and 532 in Germany segmented by regional demographics and socio-economic measures. Constructs were operationalised through a structured 7-point Likert-like scale instrument and analysed using exploratory factor analysis and regression modelling. The findings revealed that information searching options, the availability of online shopping alternatives, and the general intention to patronise multiple channels during a single shopping trip were the most influential variables shaping omnichannel preferences. South African consumers showed stronger advocacy and emotional engagement, favouring experiential communication and community-based loyalty. German consumers valued functional efficiency and in-store mobile integration, preferring streamlined digital interaction. This paper offers insights for fashion designers seeking to optimise consumer communication across channels, and provides recommendations for policymakers aiming to support omnichannel retail through targeted infrastructure and capacity-building programmes
The Role of Innovative Technologies in Supporting the Educational Process of Ukrainian Higher Education Institutions in Wartime
Full text linkThe aim of the study was to identify the role of innovative technologies in supporting the educational process in Ukrainian HEIs during the war. Attention was paid to under-researched solutions: edge/fog computing, low-resource AI for tutoring, energy-efficient offline mobile platforms, AR technologies, and blockchain registries. The study used a mixed design: questionnaires (n = 189) and semi-structured interviews. Teachers, students, and administration were involved in the study. The results showed that the highest average scores were received by energy-efficient mobile platforms (M = 4.1; SD = 0.86) and low-resource AI (M = 3.9; SD = 0.91). Edge/fog computing had an average score (M = 3.6), while AR (M = 3.3) and blockchain (M = 3.1) were rated lower. Correlation analysis revealed strong positive relationships between experience and readiness to implement technologies, particularly for AI (r = 0.55, p < 0.001). Factor analysis (PCA) identified two dimensions: “practical effectiveness” (mobile platforms, AI, edge/fog) and “innovation” (AR, blockchain), which explained 62.3% of the total variance. Qualitative analysis of interviews confirmed the presence of barriers: technical (unstable internet, lack of equipment), organizational (low support from administrations), and psychological (distrust of new tools). Respondents noted the flexibility, personalization, and motivational effect of using such technologies. These points considered that low-resource and energy-efficient solutions are the most promising for ensuring continuity of training in wartime conditions
Foundation for the Development of a Digital Game-Assisted Problem-Based Learning Model for Mechanics Physics: A Student Needs Analysis Study
Full text linkPhysics learning, particularly abstract Mechanics concepts, often poses significant challenges for students. This preliminary research aims to identify specific challenges and student needs as a robust empirical foundation for the development of an innovative learning model. The study adopted a quantitative descriptive survey method, utilizing a validated structured questionnaire. Participants were 170 eleventh-grade students from two reference state high schools in North Lampung, Indonesia. Data were analyzed using descriptive statistics. Perceptual survey results indicated that the topic "Motion on an Inclined Plane" (M=3.58) was perceived as the most difficult, with the main hindering factors being "concepts are too abstract" (62.0%) and "too many formulas to memorize" (56.0%). Conversely, students showed very high interest in educational games (M=4.78) and interactive simulations (M=4.54). A nuanced gender analysis revealed that male students tended to show slightly higher interest and self-confidence in technology, while female students reported a greater appreciation for collaborative learning. Collectively, these findings conclude a strong student demand for the adoption of more visual and interactive learning methods. This provides a compelling pedagogical and empirical justification for the development of a Digital Game-Assisted Problem-Based Learning Model (PBL-GD). The implementation of this model must therefore consider an inclusive design to bridge the expectations and learning needs of all students, including gender-specific preferences
What Can a Business School Do When Generative Artificial Intelligence Replaces Entry-Level Graduate Jobs?
Full text linkPurpose: To suggest how business schools can respond when generative AI automates routine, entry-level tasks and erodes early-career opportunities. The paper addresses a focused question: What can a business school do when graduates’ entry-level jobs are replaced or reconfigured by AI?Approach: This is a perspective article that synthesises recent empirical studies, labour-market evidence, and international policy guidance. Drawing on this integrative review, the paper develops a practical institutional blueprint for programme design, governance, and university-industry collaboration.Findings: The existing literature indicates that traditional “first-rung” roles are thinning in AI-exposed occupations while expectations for day-one fluency with AI-augmented workflows rise. To bridge this capability gap, the paper proposes a coordinated blueprint: (1) reframe curricula around human-AI complementarity; (2) redesign assessment to evaluate judgment, verification, and communication; (3) build experiential pipelines that replicate the developmental function of first jobs; (4) co-design early-career roles through university-industry collaboration; (5) invest in student well-being and ethical governance; (6) sustain staff development; and (7) address common concerns (academic integrity, equity of access). Collectively, these actions enable business schools to restore apprenticeship-style learning within and immediately after degree programmes.Originality: The paper links near-term labour-market disruption from generative AI to concrete, institution-level strategies in business education. It offers an actionable, literature-informed blueprint that moves schools beyond placement facilitation to co-creation of AI-era entry pathways, showing how higher education can rebuild the apprenticeship-like learning once provided by traditional entry-level jobs
Social Media and Value Orientations: A Study of Cultural and Moral Associations among University Students in Al Ain, UAE
Full text linkThis study investigates the perceived associations between social media use and cultural, religious, social, and economic value orientations among university students in Al Ain, United Arab Emirates, using a descriptive quantitative survey design. Grounded in Inglehart’s Modernization Theory, the research examines how exposure to global digital content is perceived to relate to students’ value orientations within a rapidly modernizing Gulf society. A structured questionnaire consisting of 40 items distributed across four value domains was administered to a randomly selected sample of 105 students during the 2023–2024 academic year. Data were analyzed using descriptive statistics and inferential tests to identify overall patterns and demographic differences. Validity and reliability analyses confirmed strong internal consistency (Cronbach’s α = 0.89). The findings indicate a moderate overall perceived association between social media use and value orientations (M = 3.84), with cultural and economic values showing stronger perceived associations, while social and religious values demonstrated greater stability. Significant differences were identified according to gender, academic level, and daily social media use. The results suggest that social media functions as a space for perceived moral and cultural negotiation rather than a direct driver of value change, highlighting the importance of educational and policy interventions that promote critical digital engagement while safeguarding local and religious values in the Emirati context
The Effect of Self-Disclosure Behaviors in Social Media on Peer Dynamics among University Students
Full text linkWith the advancement of technology, self-disclosure has become a trend on social media platforms. Most previous studies have mainly focused on the breadth and depth of the disclosure, leaving gaps in its extension. Thus, this study aims to examine the effects of self-disclosure behaviors (breadth, depth, appropriateness, and intent) on the peer dynamics among university students by using Social Penetration Theory (SPT) as the underpinning theoretical framework. The study applied a quantitative survey method and gathered 175 valid respondents. The results showed that depth, appropriateness, and intent have a positive and significant impact on the peer dynamics; however, breath does not. This study contributed to the interpersonal communication scholarship by testing the extension of the SPT, which includes appropriateness and intent. The study provides implications for the educator, social media users, policy makers, and NGOs on advocating a safe digital environment and online interaction for self-disclosure on relationship maintenance and well-being