Digital Content Research Articles

Pendampingan Anggota Igra dalam Melaksanakan Proses Belajar Mengajar Kreatif dan Menyenangkan Berbasis Konten Kreator

Education is an effective way to combat poverty, with teachers playing key roles as facilitators, motivators, and guides in the learning process. In early childhood education, particularly in Raudhatul Athfal (RA), teachers play a crucial role in instilling values of faith, independence, and good moral character in children during their golden age (0-5 years old). This research aims to empower RA teachers in Kecamatan Turen to create social media-based learning content as an innovative method to enhance student engagement.The research method employed is Participatory Action Research (PAR), involving 13 RA institutions in Kecamatan Turen, with a focus on training teachers to produce digital learning content. The findings reveal that most teachers already use digital tools in teaching, but there are still challenges in developing digital content that aligns with the cognitive development of young children. Additionally, the study emphasizes the importance of creating official social media accounts and websites for each RA, integrated into a unified platform at the district level.The outcomes of this program are expected to enhance teachers' abilities in utilizing social media as an interactive and engaging learning tool. Thus, empowering teachers to create educational digital content is key to improving the quality of education, especially for early childhood. Continuous evaluation through feedback allows for the refinement of teaching methods, fostering a more effective and creative learning environment.

Digital Content Marketing in Brand Management of Small Business Enterprises, Trading Companies and Territorial Marketing

Purpose: The research aims at a practical evaluation of the influence of digital content marketing in the system of brand management on the examples of small businesses, trading companies and territorial marketing. Methodology: To achieve the aim, the See-Think-Do-Care strategy was used, and a matrix of correlation of digital content and the object of realisation of digital content marketing in brand management was developed. Mathematical methods such as correlation analysis and regression analysis were used as well. Findings: The results of the study demonstrated that the type of digital content management is affected by the size and activity kind of the company, enterprise or organisation, which proves the necessity for diverse digital content. Correlation analysis enabled the proof of a tight correlation (0,98) between digital content marketing and brand management. A parameter indicating the influence of digital content marketing, was found to be expenses for digital content marketing. The parameter, illustrating the efficiency of brand management for small businesses and trading companies was determined to be average annual income, and for territorial marketing - number of tourists per year. Three types of models were built to determine the quantitative influence of digital marketing on brand management. The results of Model 1 have the most significant effect as the influence of digital content marketing on income increase, and thus, brand development amounts to from 8324 USD to 13571 USD. While talking about Model 2, income increase fluctuates from 3030 USD to 3600 USD per year. Evaluation results on Model 3 illustrate the insignificant influence of digital content marketing on income and brand management. Originality: In further studies, it is proposed to divide small businesses based on activity kinds and study digital content marketing in brand management depending on activity kinds.

Цифровой образовательный контент для современного урока: технология экспертизы качества

Widely and universally used e-learning systems (ELS) remain the subject of close attention of researchers. An integral and most important part of the ELS is digital educational content. This is a key element for both distance and full-time education, and in recent years it has been widely used not only in higher education, but also in general education. Assessing the quality of educational content for the expert community is a delicate issue, the complexity of which is due to the examinator subjectivity. Modern automation tools, developed within the framework of the artificial intelligence paradigm, which have already demonstrated the ability to solve various problems, allow us to approach this issue from a new position. The purpose of the article is to present the results of a preliminary study of approaches to increasing the accuracy and objectivity of the examination of the quality of digital educational content through partial automation of expert procedures. The leading research methods are analysis, examination, modeling, ascertaining experiment, description. As a result, a theoretical justification for automating the examination of the quality of digital educational content as a new interdisciplinary scientific research area is presented, tasks are set, goals and methods are defined, and the first results obtained within this area are presented. It is shown that the development goal will be the formation of an expanded description of the process of examination of the quality of digital educational content, including proposals for expert procedures implemented only by automation means, description of the examination information model and interpretation of the results of automatic examination. The novelty of the results obtained lies in the formation of the theoretical foundations for automatic analysis of the digital educational content quality. This will form a fundamentally new quality of assessment procedures in relation to electronic means of teaching and education, based on objective and measurable qualitative characteristics and indicators, formalized stages (processes) of examination, and quantitatively qualified assessment results.

Digital Literacy Practice: Pedagogical Approach with CoPORA Model on Students’ Performances in Writing Classroom

Objective: This study aims to describe the impact of the CoPORA model on EFL university students’ performances in accessing, communicating, integrating, evaluating, and creating information using social media in a writing classroom. Method: Data were collected using interview techniques from EFL university students and analyzed descriptively to achieve the study's objectives. Results: The CoPORA model in pedagogical digital literacy practices enables students to master English vocabulary, be motivated to communicate, develop social identity, and manage and evaluate information effectively. Key performances included creating and communicating argumentative texts with readers on social media platforms. Social media usage facilitated checking trusted sources and contents, communicating information with friends, lecturers, and followers, making cross-references among digital content and facts, proving the truth of contents, and writing and communicating argumentative texts. Novelty: The study found that pedagogical digital literacy practices using the CoPORA model positively contribute to students' mutual contributions to language learning, cognition, and social interaction in English essay-writing classrooms.

Harnessing AI for Enhanced Searching in Digital Libraries: Transforming Research Practices

The application of Artificial Intelligence (AI) technologies in digital libraries is changing the paradigm in which users search and interact with digital content. This article is focused on how the use of AI technologies improves the search in digital libraries, demonstrating the benefits of such technologies in overcoming the challenges associated with formulation of query, information retrieval, and end user usage. Most search engine systems face the problems of user queries, which are inherent in online searches. Many user queries are vague, imprecise or ambiguous with regards to the context and as a result lead to less than satisfactory search results. AI technologies such as Natural Language Processing (NLP) and Machine Learning (ML) solve this challenge effectively as they enhance comprehension of queries, contextual understanding, and relevance of the results returned. With the capabilities of NLP incorporated in search engines, search queries which are in the form of natural language can be understood and executed which leads to efficiency in targeting the information needed. Comprehensive restructuring of standard information systems is used by computer learning algorithms for searches by inference and instills usage in users. This study also examines the place of AI in query formulation and the different ways it can be employed; fully automated, semi-automated and/or manually so that the users are less faced with the challenges that are usually present during the query formulation process. Such increases in the level of difficulty and scope of information retrieval suggest that search AI improved the scenario.

Factors Influencing the Click Intension Towards Mobile App Ads

With the rapid growth of mobile platforms, in-app advertising has emerged as a key component of modern marketing strategies. Understanding the factors influencing consumers' click intentions toward mobile app ads is critical for optimizing engagement and conversion rates. This study examines various determinants, including ad relevance, user experience, perceived value, privacy concerns, and technology literacy, which collectively shape consumer responses to mobile app ads. While technology literacy plays a role in how users interact with digital content, factors like ad design, user motivation, app environment, and contextual relevance also significantly impact click behavior. By analyzing these variables, this research aims to provide marketers with actionable insights to craft more effective and targeted advertising campaigns. The findings will offer a deeper understanding of the drivers behind click intentions, enabling marketers to enhance user engagement and boost ad performance in the increasingly competitive mobile ecosystem.

Developing Brand Image (DeBI) dalam Membangun Citra Positif Lembaga Melalui Media Sosial

MAS Mirqotul Ulum faces challenges in developing its institution's brand image, especially through social media. Despite having a good reputation at the local level and having adequate facilities to support the development of its brand image, the madrasah has not fully utilized digital platforms to reach a wider audience and is still unable to formulate and implement effective strategies through social media. Facilities such as computer labs and good internet access can actually be used for digital marketing and content creation activities. Based on these conditions, it is important to implement the Developing Brand Image (DeBI) Program to build a positive image of the institution through social media at MAS Mirqotul Ulum Banyuanyar Probolinggo. Through four stages consisting of needs and potential analysis, training and workshops, strategy implementation, and evaluation and monitoring, the DeBI program has provided a strong foundation for MAS Mirqotul Ulum to continue to develop in the digital era. An in-depth SWOT analysis, effective training, and a targeted implementation strategy all contribute to the program's success. With the results achieved, MAS Mirqotul Ulum now has strong capital to continue and develop its digital communication strategy in the future.

SIAPIK: TRANSFORMASI DIGITAL SEBAGAI BASIS PENCATATATAN INFORMASI KEUANGAN UMKM DI IBU KOTA NUSANTARA (IKN)

The aim of this research is to assess the readiness to adopt the SIAPIK application as a digital financial recording technology for MSMEs in IKN. This research method is descriptive and tends to use analysis. The research was conducted in Kab. Penajam Paser Utara and Kab. Kutai Kartanegara which covers all MSMEs in the IKN area. The number of samples used was 2,456 MSMEs. Sample collection used interviews and the SIAPIK application installation and testing method. Based on the results of Canvas Business Modeling, it is known that Fish Crackers (milkfish amplang) have great potential to develop because of the unique raw materials and the IKN area will become the center of the country's capital and tourism. Apart from that, the readiness of MSMEs in the IKN area to adopt the SIAPIK application is not yet optimal because only 3.06% of business actors use this application to record business finances. The results of installation and testing show that business actors face challenges in using the SIAPIK application, this is due to the lack of accounting knowledge and the difficulty of using the SIAPIK application.

어린이집 교사가 인식한 디지털 역량의 중요도-실행도 분석

This study aimed to explore the contents for the education and training to enhance the digital competencies of childcare teachers through Importance Performance Analysis (IPA), which compares the importance of digital competencies perceived by childcare teachers with their own evaluation of their competencies, i.e., the level of performance. As a result of analyzing the survey data of 397 childcare teachers, it was confirmed that the respondents perceived their own competencies (performance) as relatively low compared to the importance of digital competencies. In addition, it was found that in order to foster the digital competencies of childcare teachers, it is an urgent task to include in education and training the production of digital content for teaching and learning of young children, the creation of a digital environment suitable for young children, the management of SNS information, and the collection and analysis of digital data. Tasks that require gradual improvement include a positive attitude toward the production of digital content, the utilization and reconstruction of digital content, the evaluation of virtual/augmented reality content suitable for young children, the use of online communication platforms, the ethical awareness of digital works and communication, the understanding of changes in the digital society, and efforts to foster digital competencies. Finally, it was suggested that the current status and needs of digital competencies of childcare teachers should be specifically reflected when organizing and operating digital education and training programs for the teachers.

Leveraging Social Media to Enhance Historical Awareness: A Case Study of the Inspect History YouTube Channel

Limitations in educational curricula, ineffective teaching methods, and insufficient resources can hinder a nation's ability to foster historical awareness. However, advancements in information and communication technology (ICT) present opportunities to address these challenges. The rise of social media platforms, especially YouTube, has become a powerful tool in disseminating historical knowledge. This study employs a qualitative research design with a case study approach, focusing on the YouTube channel "Inspect History." Data were collected through observations of the channel's content, online interviews, and document analysis. The study specifically examines how this platform contributes to enhancing historical consciousness. The "Inspect History" YouTube channel, with 580 thousand subscribers and 257 videos as of July 20, 2022, demonstrates the effectiveness of animated videos in fostering historical awareness. Viewers reported increased engagement with and understanding of historical events through the platform's accessible content. The findings suggest that social media, particularly YouTube, can significantly enhance the public's understanding of history. The case of "Inspect History" illustrates how well-curated digital content can compensate for limitations in traditional educational settings, providing an engaging alternative for learning. This study highlights the potential of social media platforms to promote historical awareness. The success of "Inspect History" underscores the value of utilizing digital tools to overcome educational barriers and cultivate a deeper public understanding of history in the digital era.

Cross-country analysis of digital content marketing in tourism

The main purpose of the paper is to evaluate the implications of DCM on the tourism market, specifically in different touristic regions. DCM is a digital inbound marketing strategy that aims to attract potential customers by producing innovative content and increasing their knowledge about services. The studies analyze the applications and outcomes of DCM strategies in the tourism market, highlighting the importance of digital marketing innovations for improving revenue in the sector. The study is based on a literature review of DCM in the tourism industry, using scientific articles from 2008 to 2023. The paper summarizes articles from selected journals to provide an overview of DCM in general. The research emphasizes the need for a cultural change in marketing approaches, shifting from "selling" to "helping" and utilizing social and electronic word of mouth in DCM. The papers provide theoretical and practical information for academics and businesses in the tourism industry, offering insights into the benefits and challenges of implementing DCM strategies. The studies also suggest the need for further research into digital content marketing, particularly in the context of B2B businesses.

A Survey on Detecting Deep Fakes Using Advanced AI-Based Approaches

Today, artificial intelligence is used to clone human faces, which leads to a new technology known as “deepfakes.” Recently, machine learning (ML) approaches and the use of deep learning (DL) networks have captured researchers' competition to achieve the highest classification accuracy in building efficient models for digital content deepfake detection. Therefore, this review analyzes and compares existing deepfake detection methods based on advanced artificial intelligence algorithms. Thus, deepfake detection techniques were classified into three major categories based on the classifier model used (machine learning, deep learning, or hybrid) and then compared to show the aspects that influence the efficiency and accuracy of the algorithms. This research helps researchers develop efficient classification models for deepfake detection applications. Based on the survey information reviewed in this study, a discussion of open issues and future directions is presented. The most important challenges and research directions related to deepfake detection methods are discussed.

The Effect of Digital Content on Listenig Skills in Middle School Turkish Teaching

The course of development of technology, its speed in the recent period and the point it has reached have led to the fact that our relationship with technology has become a necessity rather than a choice. In this respect, teaching activities that are not intertwined with technology and do not include digital elements will remain as practices that will not go beyond the interests and expectations of students who are the subjects of educational environments. This study, which examines the effect of digital content on listening skills in secondary school Turkish teaching, is at an important point in terms of showing the effect of digital elements on the listening skill, which is the first learning channel of human beings and will continue until death, and it is an issue that should be emphasized carefully in terms of forming the basis for other language skills. The sample of this study consists of 60 students studying in the seventh grade of a secondary school in Elazığ province. In the study, mixed research method was preferred as the method and sequential exploratory design was preferred as the design. Quasi-experimental design was used in the quantitative part of the study and phenomenology design was used in the qualitative part. There was one control and one experimental group in the quantitative part of the study. In order to obtain quantitative data within the scope of the study, the Listening Skills Scale developed by Yalçın and Özcan (2022) was applied to the control and experimental groups as pre-test and post-test. The experimental and control groups were determined according to the pre-test results of the students participating in the study. In the qualitative part of the study, data were obtained from interviews with the students and these interviews were analyzed by content analysis. The results of the study showed that there was a significant difference between the listening skill scale scores of the students in the experimental and control groups in favor of the experimental group in the post-test application, there was a significant increase between the pre-test and post-test scores of the listening skill scale applied to the control group, and there was a significant difference between the listening skill scale scores of the experimental group before and after the application. Considering the results obtained from the interviews, it was seen that listening practices enriched with digital content facilitated comprehension, digital content practices improved listening skills and created a desire to participate in new activities. At the end of the study, suggestions were made for researchers, educators and related institutions.

Advancing Persistent Character Generation: Comparative Analysis of Fine-Tuning Techniques for Diffusion Models

In the evolving field of artificial intelligence, fine-tuning diffusion models is crucial for generating contextually coherent digital characters across various media. This paper examines four advanced fine-tuning techniques: Low-Rank Adaptation (LoRA), DreamBooth, Hypernetworks, and Textual Inversion. Each technique enhances the specificity and consistency of character generation, expanding the applications of diffusion models in digital content creation. LoRA efficiently adapts models to new tasks with minimal adjustments, making it ideal for environments with limited computational resources. It excels in low VRAM contexts due to its targeted fine-tuning of low-rank matrices within cross-attention layers, enabling faster training and efficient parameter tweaking. DreamBooth generates highly detailed, subject-specific images but is computationally intensive and suited for robust hardware environments. Hypernetworks introduce auxiliary networks that dynamically adjust the model’s behavior, allowing for flexibility during inference and on-the-fly model switching. This adaptability, however, can result in slightly lower image quality. Textual Inversion embeds new concepts directly into the model’s embedding space, allowing for rapid adaptation to novel styles or concepts, but is less effective for precise character generation. This analysis shows that LoRA is the most efficient for producing high-quality outputs with minimal computational overhead. In contrast, DreamBooth excels in high-fidelity images at the cost of longer training. Hypernetworks provide adaptability with some tradeoffs in quality, while Textual Inversion serves as a lightweight option for style integration. These techniques collectively enhance the creative capabilities of diffusion models, delivering high-quality, contextually relevant outputs.

PENGUATAN KAPABILITAS DIGITAL UKM BATIK CANTING KHAS GEMPOL KABUPATEN PASURUAN MELALUI PEMBINAAN DAN PENDAMPINGAN TRANSFORMASI BISNIS DIGITAL

The Batik Canting Khas Gempol SMEs in Pasuruan Regency face challenges in adopting digital technology to expand their market and enhance competitiveness. Low digital literacy is the main barrier. This program is designed to provide training and assistance for digital business transformation. The aim of this activity is to increase digital capabilities and motivate SME members to more actively utilize digital technology. This program uses a participatory action research model involving training, workshops, seminars, and individual consultation sessions to enhance participants' digital skills. As a result, 20 participants attended the training and workshops, with an average attendance rate of 97%. Significant improvements were observed in the participants' digital understanding, with an average post-test score of 90% compared to a pre-test score of 50%. About 95% of participants successfully created digital content, and 90% were able to use social media platforms for promotion. Within 2 months after the training, 70% of participants reported an average online sales increase of 30%. This program successfully improved the digital capabilities of Batik Canting Khas Gempol SMEs, demonstrating that external support and guidance are effective in empowering SMEs to undergo digital transformation.

PEMBERDAYAAN MASYARAKAT MELALUI DIGITALISASI PENGOLAHAN DATA NASABAH di BANK SAMPAH KEMUNING, JATI MELATI, KOTA BEKASI

Household waste in RW 12, Jati Melati, Pondok Melati, Bekasi City if not managed properly will result in piles of garbage that pile up and cause unpleasant odor pollution. This problem can be overcome by the presence of the Kemuning Waste Bank in the local environment. The impact of the waste bank, household waste can be reduced because some of the waste is deposited into the waste bank and provides economic value for the depositor. However, there is a problem faced by the Kemuning Waste Bank, namely in terms of recording customer data which is still done manually because it does not have technological devices that support digital recording. This makes it difficult for officers to recapitulate customer data reports, present information on the amount of waste obtained based on the category and type of waste, and calculate customer savings payments when due. This activity uses the method of designing a data input system, socialization, training and mentoring. The results of Community Service Activities show that officers have the competence to input, process and present data on the same day as the day of deposit and weighing customer waste.

The Efficacy of Diagnostic Plaster Models in Orthodontic Diagnosis and Treatment Planning.

The growing integration of digital technologies in orthodontics is shifting the orthodontic diagnosis and recordkeeping paradigm, replacing conventional plaster models with intraoral scanning and 3D photography. This study investigated the impact of orthodontic plaster models on orthodontic diagnosis and treatment planning decisions by orthodontists. Thirty-three orthodontists assessed six patients' records with different malocclusion cases. Each case was assessed twice by each orthodontist evaluating a case: the first evaluation with digital records without diagnostic casts and the second evaluation with the added diagnostic orthodontic plaster model. Diagnostic and treatment plan decisions for each malocclusion case were compared with and without the aid of the diagnostic orthodontic plaster models to assess the plaster model's impact on the treatment plan's soundness. Statistically insignificant differences were found for the diagnoses and treatment plans with or without the aid of orthodontic plaster models. Intraclass correlation coefficients revealed agreement among orthodontists for both evaluated situations (0.685; p < 0.0001). Plaster models were found to significantly influence orthodontists' decisions about the need for surgical intervention (p = 0.026), but they did not significantly impact the overall malocclusion diagnostic classification nor the decision regarding the extent of treatment, whether comprehensive or limited (p = 0.146) and extraction versus non-extraction approaches (p = 0.266). These findings support the idea that digital record alternatives may be viable for orthodontic recordkeeping purposes. Within the limitations of this study, it can be concluded that the presence or absence of orthodontic plaster models does not significantly impact the orthodontic diagnosis or treatment planning process.

The smart camp as classroom: Control, education, and agency in Muslim internment in Northwest China

This article considers how technology and the Chinese models of camp governance affect camp detainee agency in contemporary Xinjiang, China. It shows how the models of camp governance used to control Uyghurs and other Muslim peoples emerge from the history of the Maoist education system in China. It also considers how this education model of governance is met by a new control model of automated surveillance. Drawing on repeated and ongoing interviews with former detainees as well as police documents, this article examines how detainees themselves are ranked in the order of the cell, and the digital, aural, and textual content of camp instruction. Ultimately, the article argues that a camp governance model of coercive education does offer detainees some partial forms of autonomy. Paradoxically, in part because of the contradiction between the two governance models, human agency is not fully lost in the midst of intense forms of detainee trauma.

THE PHENOMENON OF SOCIAL MEDIA IN THE DISCURSIVE FIELD CONTEMPORARY CHOREOGRAPHIC ART

The rapid penetration of social media into all spheres of life dictates the need to shift research attention towards the interactions between social media and art. Global conditions of prevalence have made media communications a leading field for obtaining and representing information. The multimedia tools of modern media in the field of art allow for the continuous expansion of its audience. Consequently, there is a constant search for varied mediation technologies between cultural institutions and society. The aim of the study is to examine the phenomenon of social media as a condition for the representation of the artistic process. The methodological foundation of the research is based on the key concepts of media research pioneers G. M. McLuhan, N. Luhmann, R. Margreiter, and others, as well as the works of several domestic scholars (G. Tasbergenova, G. Begembetov, and others). The main tasks of the article include clarifying key concepts and their theoretical content, as well as analyzing the strategies and tactics of art management in the Astana Ballet theater in the context of the interaction between contemporary choreographic culture and social media. The scientific and practical significance of the research is justified by the need to study and master creative tools for promoting cultural products in the media field of the art industry and the informational mission of art management as a mediator between the author, the art product, and the recipient. In Kazakhstan’s modern media space, a certain experience has been accumulated in influencing society through regular communication about various events in artistic life. An analysis of the PR digital tools used by the Astana Ballet theater reveals their potential for image-building. In its early stages, the theater utilized traditional PR methods with minimal digital content. However, the pandemic amplified the marketing potential of social networks, and now a large part of Kazakhstan’s society turns to media content. The key conclusion is the necessity for the theater to be present not only in sources of information but also in places where like-minded people communicate. The value of this research on the role of social media in the context of contemporary choreographic theater is highlighted by the practical significance of modern art management tools, which open up opportunities for cultural events to influence Kazakh society.

Digital Competence of Science Teachers at Jayapura City of Papua

The digital competence of science teachers is of vital significant to improving the quality teaching-learning process. The aim of this study is to know the level of digital competence of science teachers in Jayapura City. The methodology used was non-experimental and descriptive quantitative, with survey design. In such a context, 41 science teachers took part in this research, who were teaching in state junior high schools and private junior high schools. As for data collection tools, the study used 31-items of digital competence questionnaire, developed from 5 main areas of DigComp Framework (information and data literacy, communication and collaboration, digital content creation, safety, and problem solving). Based on data analyses, the digital competence of science teachers stood from high to very high level. Although the third and the fourth showed some indicator with the low ability in teachers’ competence.