Digital Generation Research Articles

Engaging the digital generation: Youth gratifications and innovation readiness in Malaysia’s digital television era

With the technology advance in broadcasting arena, Malaysian Government has upgraded Free-To-Air (FTA) Television Channels from analogue to digital in the Digitalisation Initiative launched in 2019. On the other hand, most of viewers especially young generation has switched from watching television to more high-quality channels provided via digital pay television such as ASTRO, web-based television such as Unifi TV and video on demand channels such as Iflix and Netflix. At the same time, most of the younger generation are ready to accept any innovation introduced by provider. Therefore, this paper aims to identify uses and gratifications level among youth, innovation readiness among youth, relationship between uses and gratifications as well as innovation readiness as a mediating factor between uses and gratifications. This research employs quantitative approach and data was collected via purposive sampling from 14 states including Federal Territory in Malaysia involving 350 respondents. Questionnaire was created via Google Form and was distributed to all respondents via enumerators that were officially appointed in every state in Malaysia. The findings indicate that usage has a significant relationship with gratifications among users, and innovation readiness serves as a key factor that enhances users’ levels of gratification after utilizing Digital FTA.

Digitalomics: Towards Artificial Intelligence / Machine Learning-Based Precision Cardiovascular Medicine

Recent advances in traditional "-omics" technologies have provided deeper insights into cardiovascular diseases through comprehensive molecular profiling. Accordingly, digitalomics has emerged as a novel transdisciplinary concept that integrates multimodal information with digitized physiological data, medical imaging, environmental data, electronic health records, environmental records, and biometric data from wearables. This digitalomics-driven augmented multiomics approach can provide more precise personalized health risk assessments and optimization when combined with conventional multiomics approaches. Artificial intelligence and machine learning (AI/ML) technologies, alongside statistical methods, serve as key comprehensive analytical tools in realizing this comprehensive framework. This review focuses on two promising AI/ML applications in cardiovascular medicine: digital phonocardiography (PCG) and AI text generators. Digital PCG uses AI/ML models to objectively analyze heart sounds and predict clinical parameters, potentially surpassing traditional auscultation capabilities. In addition, large language models, such as generative pretrained transformer, have demonstrated remarkable performance in assessing medical knowledge, achieving accuracy rates exceeding 80% in medical licensing examinations, although there are issues regarding knowledge accuracy and safety. Current challenges to the implementation of these technologies include maintaining up-to-date medical knowledge and ensuring consistent accuracy of outputs, but ongoing developments in fine-tuning and retrieval-augmented generation show promise in addressing these challenges. Integration of AI/ML technologies in clinical practice, guided by appropriate validation and implementation strategies, may notably advance precision cardiovascular medicine through the digitalomics framework.

STRATEGI PENINGKATAN PENGETAHUAN PENDIDIDKAN AGAMA ISLAM MELALUI KONTEN YOUTUBE PADA MAHASISWA KEDOKTERAN UNIVERSITAS ABULYATAMA ACEH

Islamic Religious Education (PAI) plays a significant role in shaping the character of medical students who have a busy academic schedule. However, conventional learning often faces problems such as lack of student interest and limited time to attend classes optimally. This suggests the need for innovative strategies that can address the needs of the digital generation. This study aims to explore the effectiveness of YouTube media as an alternative to learning PAI that is interactive, flexible, and in accordance with the needs of medical students at Abulyatama University Aceh. The researcher used a mixed-method research method involving 120 students who were divided into two groups: experimental and control. Data were collected through pre-test and post-test and supported by surveys and interviews. The experimental group was given PAI learning using YouTube video content designed according to the curriculum while the control group used conventional methods. The research data were analysed using paired sample t-test statistical test to evaluate the difference in learning outcomes between the two groups. The results showed that the experimental group experienced a significant increase in post-test scores with an average of 83.14 compared to the pre-test of 66.11, while the control group only experienced a small increase from 65.05 to 70.22. The significant difference proved that YouTube media was able to improve the understanding of PAI concepts more effectively than conventional methods. Students also stated that YouTube media provides flexibility in learning time and is more interesting than traditional learning. Thus, this study illustrates that the integration of technology in PAI learning to answer educational problems, in addition, using YouTube as a learning media can be a strategic alternative in a more effective learning process for students with busy academic schedules.

Unpaired learning for digital holographic reconstruction and generation.

Traditional numerical reconstruction methods in digital holography (DH) are faced with problems such as inaccurate and time-consuming unwrapping or the need to capture multiple holograms with different diffraction distances. In recent years, deep learning, believed to be a new and effective optimization tool, has been widely used in digital holography. However, most supervised deep learning methods require large-scale paired data, and their preparation is time-consuming and laborious. Here, we propose what we believe to be a new deep learning approach that can use less unpaired data to train neural networks, thereby reducing the need for labeled data. By using CycleGAN, the calculation process of the loss function does not need paired data, and the network can learn the mapping knowledge between two domains, instead of the data and its corresponding label. As such, the proposed method can reconstruct complex amplitudes for holographic reconstruction. And more importantly, the trained network learns the knowledge of the imaging system, leading to the capability to generate experimentally synthetic holograms at the same time. To the best of our knowledge, this is the first demonstration of such high-quality physics-based experimental hologram simulator in DH. The reconstructed complex amplitudes have higher image quality, while the generated holograms can represent realistic system status and reconstruct the input complex amplitudes.

Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study.

The rapid proliferation of health apps has not been matched by a comparable growth in scientific evaluations of their effectiveness, particularly for apps available to the public. This gap has prompted ongoing debate about the types of evidence necessary to validate health apps, especially as the perceived risk level varies from wellness tools to diagnostic aids. The perspectives of the general public, who are direct stakeholders, are notably underrepresented in discussions on digital health evidence generation. This study aimed to explore public understanding and expectations regarding the evidence required to demonstrate health apps' effectiveness, including at varying levels of health risk. A total of 4 focus group discussions were held with UK residents aged 18 years and older, recruited through targeted advertisements to ensure demographic diversity. Participants discussed their views on evidence requirements for 5 hypothetical health apps, ranging from low-risk wellness apps to high-risk diagnostic tools. Focus groups were moderated using a structured guide, and data were analyzed using reflexive thematic analysis to extract common themes. A total of 5 key themes were established: personal needs, app functionality, social approval, expectations of testing, and authority. Participants relied on personal experiences and social endorsements when judging the effectiveness of low-risk digital health interventions, while making minimal reference to traditional scientific evidence. However, as the perceived risk of an app increased, there was a noticeable shift toward preferring evidence from authoritative sources, such as government or National Health Service endorsements. The public have a preference for evidence that resonates on a personal level, but also show a heightened demand for authoritative guidance as the potential risk of digital health interventions increases. These perspectives should guide developers, regulators, and policy makers as they balance how to achieve innovation, safety, and public trust in the digital health landscape. Engaging the public in evidence-generation processes and ensuring transparency in app functionality and testing can bridge the gap between public expectations and regulatory standards, fostering trust in digital health technologies.

Educational use of virtual reality technologies in engineering education: The impact of the digital generation of faculty

Educational use of virtual reality technologies in engineering education: The impact of the digital generation of faculty

Развитие критического мышления студентов аграрного вуза в процессе изучения иностранных языков

The purpose of the study is to substantiate the need for students of an agricultural university to develop critical thinking skills in the process of teaching foreign languages. The article analyzes the main theoretical approaches to understanding critical thinking as a fundamental phenomenon for the development of universal and professional competencies of future specialists in philosophy, psychology, and pedagogy; identifies the main components in the structure of critical thinking of university students. The author highlights the knowledge and skills that are important for the development of this phenomenon in the process of teaching foreign languages, namely, the skills of analysis, synthesis, and argumentation. The scientific novelty of the research consists in the development of a methodology for the development of students’ critical thinking skills in teaching a foreign language at an agricultural university, taking into account the identified methodological conditions: the use of educational and professional tasks, problematic situations in a professional context; a consistent transition in the process of foreign language learning from techniques and tasks for the development of analysis skills to the development of synthesis and argumentation skills; reporting the individual intellectual abilities of the student, as well as the characteristics of the modern digital generation of students. As a result, pedagogical scenarios have been developed for the organization of students’ learning activities in a foreign language, contributing to the development of critical thinking skills of students of an agrarian university in teaching a foreign language.

Development of Learning Media for the Digital Native Generation

Digital Native is someone who was born in the 21st century, where the role of technology cannot be separated from his daily life, as well as in learning the art of music composition, the presence of the Score Creator application greatly assists the teacher's role both in conveying music material, analyzing music to creating a work of musical composition. Apart from that professional teachers are also required to develop an ideal learning model that is appropriate to the era, so that the classic problems that are often found by teachers in learning will be greatly assisted. This study aims to determine the benefits of Score Creator in learning music composition. This type of research is (research and development). The development steps chosen by the researcher refer to the ten steps of implementing the research and development strategy according to Borg and Gall. The results of the study show that by using the score creator music application learning music composition is more effective. The learning model developed can maximize students' abilities in making a piece of music. Students will find it easy to write notations, compose compositions and provide interpretations of the works they create, and be able to perform well-performed music without the need for expertise in playing musical instruments.

Handwriting Digital Image Generation based on GAN: A Comparative Study of Basic GAN and CGAN Models

The vast application of artificial intelligence in numerous fields—image generation being one of them—has been made possible by the quick development of deep learning. Generative Adversarial Networks (GAN) can generate high-quality images through an adversarial training mechanism. The use and performance of GAN and its conditional variation, CGAN, in the field of handwritten digital image generation, are thoroughly examined in this research. The basic GAN and CGAN models, based on the PyTorch deep learning framework and the Modified National Institute of Standards and Technology (MNIST) dataset, are applied to generate handwritten digital images respectively. To assess and compare the variations between the two models concerning the fineness of image generation, the loss changes, and other relevant factors, the generation outcomes and the loss changes that occur during the training phase are documented. The experimental results demonstrate that, compared with the basic GAN, CGAN exhibits notable advantages in terms of image quality stability, the avoidance of model collapse, and the control of image categories. Furthermore, an investigation of other cutting-edge generating models indicates that there is still room for optimization in the CGAN network structure to improve its performance for increasingly intricate generative tasks.

Digital dance generation and application based on hybrid density network

Digital dance generation and application based on hybrid density network

A novel digital unit cell library generation framework for topology optimization of multi-morphology lattice structures

A novel digital unit cell library generation framework for topology optimization of multi-morphology lattice structures

The Effectiveness of Digital Entrepreneurship Ecosystem Toward Enriching Income Generation: The Moderating Role of Entrepreneurial Intention

This study attempts to examine the functionality of the digital entrepreneurship ecosystem for low-income household Bottom 40 (B40) students toward enriching income generation and entrepreneurial intention as the moderating role in the relationship. This research applied the quantitative method using an online questionnaire. A total of 500 data were gathered from 5 Universities in Malaysia, followed by Partial Least Squares-Structural Equation Modelling (PLS-SEM) analysis to examine the hypotheses suggested in the research. The results implied that the effectiveness of the digital entrepreneurship ecosystem has a positive effect on the enrichment of income generation among B40 students in a higher education institution. It was also shown from the moderating effect analysis that entrepreneurial intention has an important function as a moderator to strengthen the relationship. The research may assist B40 students in a higher education institution for income generation through digital entrepreneurship.

Optimised multitask learning model-based deep CNN for digital soil map generation with Corvis-echo optimisation

Optimised multitask learning model-based deep CNN for digital soil map generation with Corvis-echo optimisation

ОСОБЕННОСТИ ЦИФРОВОГО ПОКОЛЕНИЯ В СИСТЕМЕ УПРАВЛЕНИЯ ПЕРСОНАЛОМ В КОНТЕКСТЕ ТЕОРИИ СОЦИАЛЬНЫХ РЕГУЛЯТОРОВ

The article discusses a number of topical issues related to the development of modern society, including Russian. The issue of generational differences and their impact on the functioning of the state, the formation of traditions, norms, and values is increasingly attracting interest among researchers. The work examines the theory of generations by N. Howe and W. Strauss, which provides valuable information about the characteristics of social development. The consideration of social regulators is based on the theory of the Russian scientist N.L. Zakharov. Particular attention in the article is paid to the new digital generation Z in the context of the theory of social regulators, which becomes logical taking into account the features of the management system in modern conditions.

Public MTs Students Engagement with Digital Media: Are They Really Competent?

Digital literacy is one of the essential skills for students in this digital age to improve their academic performance. Digital media can be used to support learning in daily school life, so both of teachers and students must be competence in the digital world. Even mobile/digital games can be used as one of the learning tools. The Ministry of Communication and Information Technology and the Ministry of Religious Affairs have joined hands to improve the digital literacy of students, especially in madrasas. However, there are no previous studies that provide us with the digital literacy of madrasa students. The aims of this study are to find out and analyze the digital literacy index of madrasa students and also their engagement with digital media. The research was conducted in MTsN in Semarang using an offline survey and the result is analysed using descriptive quantitative method. The result shows that their digital literacy is at high/good level. Students are involved in the digital world because their daily activities can’t be separated from technology and digital media. The result reflects that today’s students are considered as digital native generation whose their life development is highly influenced by digital world. In this case, knowing the digital literacy index becomes an urgent and fundamental matter

DIGITAL GENERATION AND HR MANAGEMENT IN THE CONTEXT OF THE THEORY OF SOCIAL REGULATORS

The article considers a number of topical issues related to the development of modern society, including Russian society, and analyzes the problem of forming a modern digital generation through the prism of the personnel management process. It is observed that the problem of generational differences and their impact on the functioning of the state, the formation of traditions, norms, and values is increasingly attracting interest among researchers. The idea is substantiated that the theory of generations by N. Howe and W. Strauss really provides valuable information about the features of social development and becomes the basis for further study of “new” generations and consideration of possible systems of personnel management and regulation of labor relations. Particular attention is paid to the consideration of the theory of social regulators by the Russian scientist N.L. Zakharov. The characteristic features of the new digital generation Z are highlighted and described in the context of the theory of social regulators, which becomes logical given the development of the management system in modern conditions. Based on the study of the features of the digital generation in the management system, it was established that behavioral, status, and ethical regulators are becoming universal for many generations. At the same time, for the effective distribution of human resources and personnel management, it is important to understand the characteristics of each generation, including the digital one, which really has unique differences from previous generations, which leads to new approaches in the education system and management in various areas of society.

Implementation of Android-Based Learning Media in ICT Subject for Grade VII at SMP Negeri 11 OKU

The learning process in schools is often less interesting because the methods used tend to be conventional and less relevant to the learning style of the current digital generation. Therefore, innovative learning media that can support the learning process is needed, one of which is android-based. This research aims to develop android-based learning multimedia in grade VII ICT subjects at SMP Negeri 11 OKU. The research method used is development research with the ADDIE model approach. Based on the several stages of testing carried out, data was obtained of 100% for its appearance or function and data on student responses were obtained of 83.4% with very good criteria. Based on the results of the study, it can be concluded that multimedia learning is feasible and can be used as an alternative media during the learning process. The existence of android-based learning multimedia can motivate students to learn and enable students to learn independently according to their abilities anywhere and anytime.

Online Teaching and Learning: New Dimensions

The article focuses on the variables of foreign language teaching and learning online vis-à-vis traditional classroom methods. Aspects to be discussed range from the subjective factors for both students and tutors that can be motivating (mobile access, swift feedback, automated marking, individual tasks, etc.) or demotivating (technical glitches, lack of technical support, extra work for lecturers, etc.), to objective factors that facilitate online learning in general (increase in student attendance, fast internet, the 'digital natives' generation, among others). Some synchronous, asynchronous and hybrid language learning online platforms will be highlighted with an emphasis on the different possibilities that they present and the weighing of their advantages and drawbacks. This essay will also touch upon the emergence of online education, examining its key drivers, advantages, challenges, and the implications for the future of learning.

Online Teching and Learning: New Dimensions

The article focuses on the variables of foreign language teaching and learning online vis-à-vis traditional classroom methods. Aspects to be discussed range from the subjective factors for both students and tutors that can be motivating (mobile access, swift feedback, automated marking, individual tasks, etc.) or demotivating (technical glitches, lack of technical support, extra work for lecturers, etc.), to objective factors that facilitate online learning in general (increase in student attendance, fast internet, the 'digital natives' generation, among others). Some synchronous, asynchronous and hybrid language learning online platforms will be highlighted with an emphasis on the different possibilities that they present and the weighing of their advantages and drawbacks. This essay will also touch upon the emergence of online education, examining its key drivers, advantages, challenges, and the implications for the future of learning.

Gen Z's gendered divergences in the U.S. 2024 election: Digital engagement, education, and politics

On the eve of the 2024 U.S. presidential election, the media was abuzz with Gen Z’s historic divergence at the ballot box. To understand Gen Z’s political fracturing, the research reveals how this election is at the nexus of larger gendered polarization in terms of digital activities and educational trajectories. In doing so, the research brings together these foci and puts them into dialogue with one another regarding Gen Z: the first digital generation. Focusing on a revelatory population, this study illuminates the voices of Gen Z socialized in a community marked by long term economic insecurity in an agricultural belt of California. Taking inspiration from Hochschild’s examination of the “crisis of men” vis-à-vis the 2024 election in the U.S., the analysis draws on her concepts of the “pride paradox” and the “pride economy.” Findings reveal linkages between gender, social media versus gaming, and going to college or “going to the trades.” All of these are driving gendered divergences within Gen Z’s media prosumption with important consequences for postsecondary educational trajectories which have implications for political stances. The research closes with a discussion of the impact of digital activities on identity projects that can translate into political stances, as well as the far-reaching implications of these processes for Gen Z globally in light of recent European elections.