Mixed Methods Approach Research Articles

Policing Victims and Perpetrators of Intimate Partner Violence in Jamaica

Intimate partner violence (IPV) presents various challenges for victims and the police tasked with protecting them and investigating perpetrators. Using a mixed-methods approach, this article highlights some of the main challenges of policing IPV in Jamaica, a small island developing state. We present findings from interviews with police officers and content analysis of key legislation within a broader discussion, incorporating secondary data from national surveys and community focus groups. Collectively, this provides a comprehensive understanding of the challenges of policing IPV. We discuss some of the historical and social factors contributing to IPV in the country and examine how the police balance victim support with the investigation of perpetrators. Additionally, we identify key institutional and legislative barriers, such as inadequate training and legal limitations, which hinder effective policing. Finally, we propose the problem-oriented policing (POP) framework as a potential solution to improve the handling of IPV cases in Jamaica.

"I am now being who I am and I'm proud of it": Hair related personal and social identity and subjective wellbeing of older Black women in the UK.

Hair is an important personal attribute defined by the person's natural hair shape, form and colour as well as by age and health. The hair of Black women has a specific curly texture that has been commonly manipulated to resemble straighter European hair, following centuries of oppressive beauty norms. The biological hair aging also presents challenges to some women due to the traditional social constructs of beauty and the persistent pressure on women to maintain their appearance. This interdisciplinary study explores the evolution of hair management practices of Black women from age-related biological, personal, social and well-being perspectives. A mixed methods approach was adopted, based on an online survey (n = 46) followed by in depth semi-structured interviews (n = 10). A statistically significant shift towards less frequent use of complex hair styles and visits to the hairdressers over a 30-year period was found, but frequency of hair colouring was not impacted. Three main qualitative themes were identified: 1) managing hair greying represented an important age-related negotiation of personal and social identity; 2) curly hair texture remained a strong personal and cultural identity symbol in light of historical dominance of Eurocentric hair beauty standards and hair-based discrimination; and 3) subjective well-being was strengthened by increased confidence in one's personal hair aesthetics and better-informed choices about hair management. Overall, age did not diminish the desire to maintain good hair. Increasing the visibility of older Black women's hair will further support their capacity to negotiate their presence and participation in social and professional contexts and to enhance their subjective well-being.

Assessing the Effectiveness of Village Funds in Reducing Rice Agricultural Production Costs: A Case Study from Bicak Village, Mojokerto Regency, Indonesia

The Village Fund program in Indonesia is designed to improve rural economic development, including agricultural productivity. However, its role in reducing the cost of rice agricultural production is still less explored, especially in the local context. This study aims to evaluate the effectiveness of village funds in reducing the production cost of rice farming in Bicak Village, Mojokerto, Indonesia. Using a mixed-methods approach that combines survey data, in-depth interviews with 68 farmers, and financial analysis, the study provides a comprehensive assessment. The results show that the construction of farming roads and the construction of irrigation canals using the budget from the Village Fund have significantly increased the net income of farmers by 26%, several components of farming costs have decreased, namely labor, land cultivation and the use of agricultural equipment (water pumps), another impact is that land rental costs have increased because access to agricultural land is getting easier and smoother. It was concluded that the Village Fund can effectively support cost-effective rice farming, and the right allocation of resources is very important. Future programs should prioritize transparent fund management and training for farmers. This study provides new insights into the intersection between rural development policies and agricultural cost management.

Artificial intelligence in financial auditing: redefining accuracy and transparency in assurance services

This study explores the transformative role of Artificial Intelligence in financial auditing and assurance services, focusing on how AI and machine learning technologies are reshaping traditional audit processes. With increasing demands for accuracy, efficiency, and reduced human error, AI-driven tools have the potential to significantly enhance audit quality and risk assessment capabilities. Using a mixed-methods approach, this research combines quantitative data analysis from financial audits incorporating AI technologies with qualitative insights gathered through semi-structured interviews with industry professionals. The quantitative phase evaluates the impact of AI on audit efficiency and error reduction, while the qualitative phase offers perspectives on the challenges and opportunities AI presents in the auditing landscape. The study aims to provide a comprehensive understanding of how AI can improve audit practices, drive better decision-making, and address evolving risks in the financial sector. This research offers critical insights for auditors, regulators, and firms seeking to integrate AI into auditing processes to enhance both compliance and innovation.

Resilience and Coping Strategies during COVID-19: Perspectives from Agricultural Enterprise Farmers

COVID-19 posed threats to Thailand, particularly affecting agricultural enterprises. This study examines coping strategies of the Khok Sawang Agricultural Enterprise (KSAE) in Khon Kaen province in response to disturbances of the COVID-19 pandemic. A purposive sample of 75 members from the KSAE was analyzed using a mixed-methods approach. Data were collected through semi-structured questionnaires and in-depth interviews. Quantitative data were computed using SPSS, qualitative insights were derived through thematic analysis. The findings indicate that respondents faced considerable challenges across four domains: production and trade, food security, health, and income. Specifically, 86.7% reported income losses, 82.7% indicated increased mental health stress, and 70% reported reduced access to healthcare services. Market pressures, rising production costs, and decreased consumer demand collectively resulted in a 30% decline in production. To cope with these disruptions, respondents adopted diverse coping strategies. In terms of production, farmers reduced working hours, implemented daily wage cuts, and adopted digital platforms to facilitate direct sales. Health-related strategies included engagement in vaccination schemes and enhancing social networks to provide emotional support. This study underscores the resilience in navigating the extensive disturbances of COVID-19. It emphasizes the need for integrated policy frameworks that enhance farmers’ resilience to deal with future crises.

Analyses of house-owners’ awareness and compliance with urban greenery regulations in Madina, Ghana

The transformation of natural landscapes due to ongoing urbanization highlights the critical need for the presence and integration of vegetation within urban environments. Although the benefits of urban greenery, including biodiversity conservation, pollution mitigation, and reduction of urban heat island effects, are widely recognized, adherence to corresponding building regulations poses a significant challenge in many Global South countries, including Ghana. This study investigated the compliance with urban greenery regulations among house owners in Madina, a rapidly urbanizing suburb of Accra, Ghana. The research utilized a mixed-methods approach, combining quantitative surveys with house-owners (n = 200) with qualitative interviews (n = 8) to explore the levels of awareness and compliance among residential house-owners with the guidelines stipulated in the Ghana Building Regulations (LI 1630) and the Ghana Building Code 2018. Our findings revealed a significant gap between awareness of the benefits of urban greenery and actual compliance with the regulations designed to ensure its provision. Key factors contributing to non-compliance were socioeconomic pressures, such as the high cost of land and accommodation, and institutional barriers, including bureaucracy, weak enforcement, and insufficient resources. Furthermore, administrative and political challenges, such as corruption and a lack of support, exacerbate the situation. The study recommends targeted actions to enhance compliance rates, emphasizing the need for streamlined regulatory processes, more robust enforcement mechanisms, and increased awareness campaigns to highlight the critical importance of urban green spaces.

Factors Affecting the Listing of Small Businesses on the Lusaka Securities Exchange Alternative Market in Zambia

Small and Medium Enterprises (SMEs) are vital to Zambia's economy, contributing significantly to GDP, employment, and business activity. Despite the launch of the Lusaka Securities Exchange Alternative Market (LuSE Alt-M) in 2015 to address SME financing gaps, no SMEs have listed on the platform. This study investigates the factors that hinder SME participation in LuSE Alt-M. The study employs a mixed-methods approach. Data was collected through questionnaires targeting key stakeholders, including regulators and financial institutions. Descriptive and thematic analyses revealed significant barriers to listing, with low awareness and inadequate financial literacy emerging as the most critical challenges. Although SMEs generally recognize the potential benefits of equity financing, misconceptions about ownership loss and procedural complexities deter participation. Key findings suggest that simplified listing processes, targeted financial literacy programs, and enhanced marketing efforts are essential to improve SME engagement with LuSE Alt-M. The study recommends initiatives such as mentorship programs, sector-specific incentives, and digital outreach to increase awareness and accessibility. Strengthening collaborations between stakeholders, such as regulators, financial institutions, and business incubators/accelerators, is also crucial to building a supportive ecosystem for SME growth and market participation.

Whose city? colonial histories, urban governance, and the contestation of space in Kuala Lumpur

ABSTRACT Cities are shaped by historical power structures that persist in governance, spatial organization, and socio-economic hierarchies. In postcolonial cities like Kuala Lumpur, colonial legacies continue to reinforce exclusionary policies and spatial inequalities, limiting inclusive urban growth. While existing scholarship explores urban transformations and ethnic contestations, few studies critically assess how colonial governance, ethno-spatial hierarchies, and socio-political structures collectively sustain urban exclusion. This study examines the enduring influence of British colonial governance on Kuala Lumpur’s contemporary urban development, governance failures, and socio-spatial inequalities. Using a mixed-methods approach, it investigates the disconnect between urban policies and residents’ lived experiences. Findings reveal that centralized governance, displacement-driven redevelopment, and affirmative action policies often reproduce, rather than redress, urban inequalities. Addressing these postcolonial urban challenges requires more than policy reforms – it necessitates a fundamental re-examination of entrenched governance models and a shift toward inclusive, community-driven urban planning.

The autopoiesis of ballet. How the classical dance education system affects the lack of female ballet leaders in Poland

ABSTRACT Ballet, often perceived as a feminised art, exudes its magic through the predominantly female performers who bring its enchanting narratives to life. Despite this, the leadership landscape within the ballet world does not mirror the prevalence of women on stage. This article delves into the intricacies of the traditional career trajectory in ballet within the Polish context, tracing the journey from school to theatre, pedagogical studies, and often back to school, as teachers. By examining power relations, entrenched practices, and prevailing beliefs within the ballet industry, the article sheds light on the mechanisms that contribute to the formation of a self-perpetuating autopoiesis loop. Using a mixed-methods approach, the research reveals a glaring lack of female leadership in ballet, hindering women’s progression as choreographers. This, in turn, perpetuates a significant void of female perspectives within ballet narratives, thereby shaping a non-feminised ballet heritage which in turn creates a certain perspective within ballet education. The article delves into various cultural factors influencing the socio-economic landscape of ballet labour market in Poland. It seeks to unravel the complex web of factors contributing to the gender disparity. In conclusion, the article calls for transformative measures to reshape the autopoiesis loop, creating a more empowering environment for women in Polish ballet.

Unveiling the gaze: deciphering key factors in selecting knowledge workers through eye-tracking analysis

PurposeThe purpose of this study is to identify and analyze the characteristics and visual patterns of successful knowledge workers using quantitative methods, particularly eye-tracking technology. By conducting a systematic review and matching identified factors with theoretical literature, the research aims to uncover key attributes that contribute to the effectiveness of knowledge workers. These insights are intended to improve employee selection processes, ensuring the right candidates are chosen based on their cognitive, behavioral and visual traits.Design/methodology/approachA mixed-methods approach is employed in this study, consisting of three phases: (1) a systematic literature review identifies key characteristics of successful knowledge workers, (2) these factors are aligned with theoretical frameworks and expert insights to assess their applicability and (3) empirical data is collected through questionnaires and eye-tracking assessments involving ten high-performing site design employees and ten students from Shahid Beheshti University. SPSS software and Tobii Pro Lab tools are used for data analysis to establish correlations between eye movement patterns and attributes of effective knowledge workers.FindingsThe findings reveal that students whose eye movement patterns resemble those of high-performing knowledge workers also share similar cognitive and behavioral characteristics. Identified key attributes include enhanced problem-solving skills, adaptability and effective communication. The study further highlights the potential of eye-tracking technology as a valuable tool in employee selection, offering insights into visual behaviors that correlate with high performance in knowledge work. These findings provide a deeper understanding of the critical traits that optimize organizational performance.Originality/valueThis study presents a novel approach by integrating eye-tracking technology into the knowledge worker selection process. It provides empirical evidence of the visual and cognitive patterns associated with high performance, thereby enhancing the theoretical understanding of knowledge worker selection. The study contributes valuable insights for organizations aiming to refine their hiring practices, emphasizing the importance of both cognitive skills and visual behaviors in candidate assessment. This research lays the groundwork for future studies exploring the intersection of technology and human resource management to optimize workforce effectiveness.

An Evaluation of OpenAlex Level 0 - Art

OpenAlex is an online repository using an automated classification system. While existing studies highlight the overall usability of OpenAlex, this study analyzes the limitations and effectiveness of the Level 0 concept “Art.” Our findings suggest that the system has significant hierarchical and semantic shortcomings identified through a mixed-method research approach. This approach utilized qualitative and quantitative research methods to provide a holistic evaluation of the system, gauging its effectiveness in indexing papers. Moreover, we provide key insights into how improvements can be made to render OpenAlex an effective andusable classification system.

“Shifting goalposts” and “fishing expeditions”: police case preparation and the application of the full code test in cases of RASSO

Purpose Despite recent increases, the low level of convictions in cases of rape and serious sexual offences (RASSO), aligned with the subsequent lack of victim satisfaction with the process, has highlighted the various challenges and barriers throughout the criminal justice process. Whilst understanding the shortcomings of criminal justice processes in cases of RASSO requires a holistic approach, this paper focuses on case preparation and the application of the Full Code test. Its purpose is to explore the application of this test and preceding case preparation in police decision-making around submitting cases for charging decision, following the recommendations of the first year of Operation Soteria Bluestone. Design/methodology/approach This study adopted a mixed-method approach, combining both interviews and case reviews of selected RASSO cases across five forces in England and Wales. Findings This research found a shift towards “threshold thinking”, whereby officers arguably no longer try to predict a prosecutor’s decision and instead focus on meeting the requirements for the application of the test. In terms of case preparation, the research demonstrates a move away from “fishing expeditions”, with a preference for more focused approaches to collecting evidence. Originality/value To the best of the authors’ knowledge, this is one of the first studies looking at the use of full code test principles in police decision-making in RASSO cases.

Library automation trends at City University of New York (CUNY): transforming face-to-face services into remote access during and post-pandemic − a case study of York College’s Library

Purpose This paper examines the transformation of York College Library’s services through automation before, during and after the COVID-19 pandemic. This paper aims to evaluate how automation tools such as Integrated Library Systems (ILS) and e-resource platforms facilitated the transition to remote services, while identifying challenges related to staff training, accessibility and digital engagement. By analyzing user feedback, operational data and automation trends, the study provides actionable insights for optimizing academic library services. The findings offer scalable recommendations to enhance service delivery, ensure inclusivity and strengthen the resilience of libraries in adapting to evolving educational demands in a post-pandemic landscape. Design/methodology/approach This study uses a mixed-methods approach to analyze York College Library’s automation trends across three phases: pre-pandemic, during the pandemic and post-pandemic. Quantitative data was collected through surveys and library usage statistics, measuring e-resource downloads and virtual reference inquiries. Qualitative insights were obtained via interviews with library staff and users, exploring challenges and the impact of automation systems on service delivery. The combined analysis provides a comprehensive understanding of the library’s transition to remote services, identifying key strengths and areas for improvement to inform future strategies for academic library operations. Findings This study revealed that York College Library’s pre-pandemic investment in automation tools, such as ILS and e-resource platforms, enabled a rapid shift to remote services during the COVID-19 pandemic. Virtual reference inquiries surged by 200%, and e-resource usage increased by 45%, demonstrating high user reliance on digital services. However, gaps in staff training and accessibility highlighted areas for improvement. Post-pandemic, the library adopted a hybrid model that blends physical and virtual services to meet diverse user needs. The findings underscore the importance of continuous professional development, robust digital infrastructure and accessibility-focused strategies to ensure resilient and inclusive library operations. Originality/value This paper provides a unique case study of York College Library’s transition to remote services during the COVID-19 pandemic, offering insights into how automation tools were leveraged to maintain academic support. It highlights the dual role of technology in enabling service continuity and exposing gaps in training and accessibility. By integrating user feedback, operational data and automation trends, the study offers actionable recommendations for libraries navigating post-pandemic challenges. Its focus on scalable solutions for hybrid service models, staff development and digital equity adds significant value to the evolving discourse on academic library automation and resilience in higher education.

A Process Evaluation Revealed That Flexibility Was Key to Delivering Nutrition Education to Vulnerable Tribal Groups in India.

This study is a process evaluation of a nutrition education intervention that is part of a large-scale development program targeting vulnerable tribal groups in Odisha, India. The objectives are to examine whether the intervention is operating as planned (implementation fidelity), investigate potential pathways to achieve greater impact, and provide recommendations on how to design nutrition education interventions in similar contexts. A program impact pathway forms the basis of this process evaluation, tracing inputs, processes, outputs, outcomes, and impacts. The study's mixed-methods approach includes semistructured interviews, focus group discussions, and Process Net-Mapping. Narrative analysis was applied to examine the transcripts. Data were analyzed in the context of the program impact pathway. The intervention was not delivered as intended (low implementation fidelity). Flexibility was key in providing nutrition education to beneficiaries despite challenges, such as the inability to utilize behavior change communication, inadequate funding, and language and cultural barriers. Despite low fidelity, the qualitative results show that the intervention improved awareness of nutrition and health among beneficiaries. Providing adequate resources for training frontline workers and beneficiaries is required for nutrition education programs to achieve their desired effectiveness and impact. Utilizing existing organizations, integration into production-based interventions, and incorporating easy-to-understand nutrition models, practical demonstrations, and videos would increase frontline worker and beneficiary engagement and understanding, leading to improved maternal and child nutritional and health outcomes.

Agropastoralist Community-led Restoration of Degraded Drylands: Factors Influencing Adoption of Soil Conservation Practices in Semi-arid Regions of Kenya

Background: The conventional approach of soil conservation practices in degraded drylands has shown little success. Lack of knowledge on factors influencing inhabitants of such regions to adopt appropriate conservation practices is the primary cause of low adoption. This is because the disseminators of conservation practices assume a one-fit-all design, resulting in a disconnect between them and farmers. Thus, this study aimed to understand factors influencing soil conservation practices in agropastoral dryland communities of semi-arid lowland West Pokot, with a particular interest in terraces. Methods: A concurrent mixed-method approach embedded in a cross-sectional survey was used and data were collected through semi-structured questionnaires, focus group discussions and field measurements of existing terrace attributes. Data were subjected to descriptive analysis, Spearman’s rho correlation, Kruskal Wallis and Chi-Square Test of Independence. Result: The community-driven approaches, gender, size of land and topography are key factors contributing to terrace adoption. Sixty percent of farmers living in degraded high-sloped lands have portions of their farms terraced with average terrace dyke volumes of 103.8±21.45 m³, 105.89±33.13 m³ and 129.6±15.97 m³ for highly sloped, relatively flat and moderately sloppy areas respectively. The study further established terrace dyke sedimentation and limited terrace embarkment reinforcement options as the major challenges facing terracing adoption in the region.

Navigating the medical journey: Insights into medical students' psychological wellbeing, coping, and personality.

In recent years, increased awareness of the psychological wellbeing of healthcare professionals and students has become a pressing public health issue affecting care delivery. Medical students undergo rigorous training programs that can affect their psychological wellbeing. Despite increased awareness of mental health issues among medical students, research often focuses on negative aspects, overlooking potential positive contributors to wellbeing. This study aims to explore both negative and positive factors influencing medical students' psychological wellbeing, considering coping strategies and personality traits to inform targeted support measures for diverse student needs. A mixed-methods approach was employed to investigate medical students' psychological wellbeing, coping strategies, and personality traits. Quantitative data was gathered via self-report questionnaires and analysed using regression models. Additionally, qualitative insights were obtained from semi-structured interviews and analysed thematically to capture students' perceptions and experiences. The analysis revealed moderate to high levels of stress, anxiety, and depression among medical students, along with decreased life satisfaction. Regression analysis showed that problem-focused coping positively impacted medical students' psychological wellbeing, whereas emotion-focused and avoidance coping showed less favourable effects. Notably, problem-focused coping partially mediated the relationship between stress and depression. Furthermore, personality traits, particularly agreeableness and conscientiousness, played a pivotal role in shaping medical students' coping strategies and mental health outcomes. Based on thematic analysis, codes gave rise to three overarching themes and corresponding subthemes. The study underscores the significance of addressing both positive and negative factors impacting medical students' wellbeing and highlights the need for tailored support considering individual personality traits that influence coping strategies and mental health. It also identifies challenges within medical education, emphasising the necessity for stress management programs, mental health support, and curricula promoting problem-solving skills. Prioritising medical students' wellbeing may not only foster good mental health among future professionals but may also enhance future healthcare quality.

A Hospital-Based Survey Assessing Facility-Level Factors Contributing to Late-Stage Cervical Cancer Diagnosis: A Mixed-Methods Approach.

Background In Kenya, cervical cancer is the 2nd commonly diagnosed type of cancer and the top cause of cancer-related deaths among women. Over 50% of cervical cancer cases worldwide are diagnosed at a late stage, with this percentage rising to 80% in developing countries. Poor Health systems are major causes of late-stage diagnosis, leading to low survival rates and increased mortalities among cervical cancer patients. This study focused on determining the facility-level factors that contribute to late-stage diagnosis among cervical cancer patients. Methods An analytical cross-sectional mixed method study was conducted to collect data on hospital and referral systems experiences from 139 cervical cancer patients systematically sampled at Kenyatta National Hospital (KNH), using a semi structured questionnaire. In-depth interviews were conducted on 8 Key Informants. Associations between stage at diagnosis (dependent variable) and independent variables were tested using logistic regression at 95% Confidence Interval. Qualitative data was analyzed using content analysis method. Results Participants mean age was 51 years. 86 (61.9%) were diagnosed at advanced stages III and IV. A higher number of hospital referral instances, facing challenges during the referral process, and prolonged waiting times for diagnostic results were identified as key contributors to late-stage cervical cancer diagnosis. Conclusion Delays in diagnosis for most patients is due to poor health and referral systems. The study recommends improving referral systems and encouraging partnerships to decentralize cancer diagnostic.

Impact of Automation on Retail Logistics: AI-Powered Solutions for Efficient Supply Chains

This research explores the transformative impact of automation on retail logistics, focusing specifically on AI-powered solutions that enhance supply chain efficiency. As e-commerce continues to grow, retailers face increasing pressure to streamline logistics processes to meet rising consumer expectations for fast, reliable deliveries and cost-effective operations. AI technologies, such as machine learning, predictive analytics, and autonomous systems, have emerged as critical tools in addressing these challenges by improving various logistics functions, including demand forecasting, inventory management, route planning, and warehouse automation. This study investigates the role of AI-powered solutions in enhancing operational performance, reducing costs, and boosting customer satisfaction across retail logistics networks. A mixed-methods approach is employed, combining quantitative analysis of logistics performance data and qualitative case studies from retail companies that have integrated AI technologies into their supply chains. The quantitative analysis examines key performance indicators such as delivery time, cost per order, inventory turnover, and customer satisfaction before and after the adoption of AI solutions. The qualitative analysis draws on case studies from companies like Amazon, Walmart, and JD.com to explore the real-world applications and challenges of AI in retail logistics. The results indicate that AI automation improves forecasting accuracy, reduces operational costs, enhances inventory management, and improves delivery efficiency. However, challenges such as system integration, data quality, and workforce adaptation are also identified. This study contributes to understanding the current state of AI applications in retail logistics and offers practical insights for industry leaders aiming to optimize their supply chains. Keywords: Automation, Artificial Intelligence, Retail Logistics, Supply Chain Efficiency, Machine Learning, Inventory Management, Predictive Analytics, E-commerce, Cost Reduction, Customer Satisfaction

TikTok Videos as a Catalyst for Vocabulary Acquisition in Tertiary Education

This study investigates the potential of TikTok as an educational tool for vocabulary acquisition among university students in Malaysia. As social media platforms continue to influence various aspects of daily life, their role in education, particularly in language learning, warrants closer examination. Through a mixed-methods approach, this research evaluates the effectiveness of TikTok videos in expanding the vocabulary repertoire of students at a public Malaysian university. The study builds upon previous research, including Simanungkalit and Katemba’s (2023) work on university students’ perspectives of TikTok for English vocabulary learning, and Abdullah et al.’s (2023) investigation into TikTok’s acceptance as an English learning tool. Results indicate that TikTok can serve as an engaging and effective platform for vocabulary development, with a significant portion of students reporting improved retention of new English words. The findings suggest that integrating TikTok into formal language education could enhance learning outcomes and provide students with additional, accessible means of language acquisition. This research contributes to the growing body of literature on social media in education and offers practical implications for educators seeking to leverage digital platforms in language instruction.

Media education in EFL class: teachers’ challenges and students’ perspectives

ABSTRACT In the dynamic environment of 21st-century education, teaching methods for English as a Foreign Language (EFL) have seen substantial transformation. Modern students, frequently referred to as “digital natives,” demand creative teaching techniques and refreshed educational settings. This study aims to investigate the challenges encountered by teachers and the students’ views on integrating media education into EFL classes. A mixed-method approach was used to gain a detailed understanding of these obstacles and viewpoints. Data were gathered using two research tools: interviews and questionnaires. Seven EFL teachers and 125 students took part in the study. The results showed that EFL teachers typically encounter difficulties related to technology, pedagogical, and institutional support. On the other hand, students generally welcome media education, though some find its incorporation challenging. The study underscores the need for comprehensive training in technology and teaching methods for EFL teachers to better assimilate media education. As such, the research promotes structured guidance and support for teachers and students, which can help maximize the benefits of media education in EFL classes. A deeper understanding and application of media education can significantly enhance learning experiences in EFL classrooms.