Use Of Mobile Devices Research Articles

M-Learning and Experiential Learning in Vocational Education

The aim of our research was to investigate the impact of the use of mobile devices in mobile technology (MT)-enabled experiential learning (EL). Methods/Analysis: The basis of the research was an experiment. Quantitative data included pretest and post-test results of two groups of students (ELs and regular education students). Qualitative data consisted of individual analysis of a final questionnaire composed of 37 items, some of which were open-ended. A 5-point Likert scale was used for evaluation, and some questions were open-ended. Findings: The results showed that the average knowledge gained in the EL group's post-test increased compared to the regular class. We found that after the photographing/note-taking phase, students with the ability to use mobile devices generally lost interest in further observation. We also found that both groups had great difficulty in the question design and comparison sections, in finding answers to the prepared questions. Novelty/Improvement:it became apparent that the teaching process needed to be modified. The photo-taking phase should be done after close observation so that the sensory experience is not replaced by mobile devices. The comparison phase did not show a significant result in any of the observed viewpoints and can be omitted. The sensory experience, sound recording, requires some modifications, more effectively applied in the classroom environment, as ambient noise was a problem in the teaching process. Doi: 10.28991/ESJ-2024-SIED1-017 Full Text: PDF

Nomophobia, phubbing, and deficient sleep patterns in college students

In the current context, excessive mobile device use has led to new issues, such as nomophobia—an irrational fear of being without a mobile phone—and phubbing, which involves ignoring nearby people in favor of using one’s phone. These behaviors are increasingly prevalent among young people, particularly in university settings, and can negatively impact well-being, including the emergence of poor sleep patterns. Given that sleep is essential for academic performance and mental health, examining how nomophobia and phubbing relate to disruptions in university students’ sleep habits is crucial. This study aimed to analyze the correlation between nomophobia, phubbing, and poor sleep patterns among university students, determine whether nomophobia and phubbing are significant predictors of these patterns, and examine the individual contribution of each variable on sleep. A non-experimental, cross-sectional, quantitative design with correlational-explanatory scope was used, conducted from March to June 2023. The sample consisted of 533 students from a private university in Peru, aged 18 to 24, selected through non-probabilistic sampling. Data were collected using the Short Nomophobia Questionnaire (SNQ-5) and the Brief Phubbing Scale (BPS-6), validated instruments with strong internal consistency. The results showed moderate positive correlations between nomophobia, phubbing, and poor sleep patterns. Linear regression analysis indicated that the predictor variables explained 45.1% of the variance in poor sleep patterns. Nomophobia significantly affected all three analyzed sleep patterns (late nights, insomnia, and short sleep), whereas phubbing significantly impacted only short sleep. The findings underscore the importance of addressing excessive mobile device use in university settings, as both nomophobia and phubbing affect students’ sleep quality. Future research is recommended to explore their impact on mental health and evaluate interventions to mitigate these phenomena and their implications for academic performance.

Navigating mobile device heightened use: an integrated model to assess mobile user engagement

Purpose The widespread use of mobile devices raises concerns about their negative effects on users’ well-being but also presents business opportunities. To harness this phenomenon effectively, understanding various aspects of user engagement is essential. This study aims to develop and empirically evaluate a conceptual framework for examining user engagement in mobile technology. Design/methodology/approach This study explores user engagement with mobile technology. The authors developed a conceptual model and collected data through an online survey, focusing on engagement with mobile apps, services and devices. The authors analyzed the data to identify factors influencing each aspect of the mobile engagement. Findings The findings suggest that engaging mobile apps should be visually appealing, novel, reliable and enjoyable. Mobile services engage users when they are easily accessible and adaptable to diverse needs. These results emphasize the importance of dissecting mobile technology engagement into app, service and device engagement for a deeper understanding of their impacts. Originality/value This study underscores the significance of comprehensively understanding user engagement in mobile technology. By delineating engagement dimensions and their determinants, it offers insights for businesses to optimize strategies in leveraging mobile user behavior. This structured approach enhances theoretical understanding and has practical implications for designing user-centric mobile technology solutions.

The use of mobile technology in abductive inquiry-based teaching and learning of chemical bonding

Continuous enhancement of mobile devices such as smartphones offers new opportunities for using these technologies in inquiry-based learning environments. Inquiry-based learning has followed deductive and inductive forms of inquiry, while the abductive form of inquiry that targets the development of higher-order thinking skills such as critical thinking is less prevalent. This study investigated the use of mobile technology in abductive-inquiry based teaching and learning of chemical bonding for grade 11 physical sciences learners in two South African schools. The study employed an explanatory sequential mixed-methods design that entailed first collecting quantitative data and then qualitative data to help explain or elaborate on the quantitative results. Two grade 11 physical sciences classes were randomly designated as the experimental and control groups in each of the two different schools. The experimental group in each school experienced activities in a laboratory using mobile technology-enhanced abductive scientific inquiry through the ‘Molecular Workbench’ web-based simulation using a mobile device, while the control group in each school experienced activities in abductive scientific inquiry in a science laboratory without using mobile learning technology. The principal findings indicated that learners within the control group displayed a significant increase in their performance to create a scientifically accurate hypothesis that is the essence of abductive inquiry, whereas for the experimental group there was no significant improvement in their hypothesis generation capacity. However, participants within the experimental group felt that their use of mobile devices created a sense of learner agency amongst themselves, developed their communication skills, made them feel responsible for their own learning, and also made learning scientific concepts more fun as opposed to what they are normally exposed to.

Commentary on "Quantifying Parental Perceptions of Their Experiences With Their Young Children's Use of Power Mobility Devices".

Commentary on "Quantifying Parental Perceptions of Their Experiences With Their Young Children's Use of Power Mobility Devices".

Assessment of Digital Integration in Learning

This research explores the integration of digital tools, particularly mobile learning, in educational contexts in Nepal, aiming to optimize their effectiveness. Employing a questionnaire-based methodology, data was collected from students across all over Nepal using a Google Form distributed through online media. Insights were gathered from 1104 students, revealing widespread ownership and usage of mobile devices for studying. Findings indicate a preference for laptops and smartphones, with web pages and applications being the most utilized resources. Significant associations were observed between the type of mobile device, academic major, and preference for mobile learning. The study concludes that digital tools play a critical role in modern education, emphasizing the need for comprehensive policies to promote their integration. Recommendations include government initiatives to enhance access to educational devices, conduct proper trainings to learners, expand internet connectivity, address technical challenges, and distribute digital equipment to enhance mobile learning experiences for equity of access to technology all over Nepal.

ВИКОРИСТАННЯ МОБІЛЬНОГО ЗАСТОСУНКУ ACTIONTRACK У ПІДГОТОВЦІ МАЙБУТНІХ ФАХІВЦІВ З МУЗЕЄЗНАВСТВА ТА ПАМ’ЯТКОЗНАВСТВА

Modern trends are aimed at the integration of information and communication technologies into the educational process, in particular, thanks to the active use of mobile devices and relevant applications. Teachers can quickly disseminate information among students, provide them with access to various materials, as well as receive feedback from them, etc. The involvement of information and communication technologies forms practical skills and consolidates theoretical knowledge during the training of specialists, and for the specialty 027 “Museum studies, monument studies” at Lesya Ukrainka Volyn National University, which became the subject of the research. The article confirms the positive experience of using the ActionTrack, because the students created an excursion-tourist product using information and communication technologies and participated in its implementation. This testified that it allows students not only to improve digital competencies, but also to work in small groups (quest designers and excursionists) and build internal communication, improve spatial orientation skills, consolidate theoretical knowledge related to interpretation and actualization cultural heritage. The research analyzed the stages of development and implementation of a quest-excursion in the ActionTrack mobile app: obtaining access to the software; displaying the points of the excursion route on the online map and developing tasks for them in the application; making corrections regarding locations directly near cultural heritage objects; monitoring the performance of tasks and movement of participants during the quest. It was established that through the use of ActionTrack, the excursionists of the quest consolidate knowledge about the cultural environment, improve digital skills, and develop interest in the excursion using information and communication technologies. It has been proven that the use of the ActionTrack mobile application in the educational process is a successful form of work with students, which contributes to the improvement of their professional competencies, in particular, аbility to conduct innovative activities in museum affairs and monument preservation activities.

Cloud Computing and Data Security Challenges: A Nepal Case

When it comes to storing and accessing data, cloud computing provides an alternative option for users of computers and mobile devices. Nepal has a lot of problems with cloud computing and protecting data. Data security in the cloud and cloud computing are topics the author is investigating. The investigation is carried out using the content analysis method. According to the research, cloud computing is crucial for the storage, regulation, and accessibility of data in Nepal. Additionally, Nepal is a developing nation. The data security issue is real because it has lacked the necessary technological know-how, financial resources, human resources with the necessary skills, and a large digital divide. Security in the cloud is mostly concerned with storage, virtualization, and networks. Users and providers of cloud services are primarily concerned in virtualization, which enables numerous users to share a single physical server. Data transmitted by remote virtual equipment is a prime target for assaults on cloud networks. Security, storage, data center operations, pricing, service level agreement, location, integrity, access, segregation, breaches, and confidentiality are just a few of the cloud computing issues that Nepal is clearly encountering. Nepal, like many other developing nations, should begin to make use of its own servers, satellites, and data centers or banks for communication and storage.

A Comparative Study of Machine Learning Classifiers for Different Language Spam SMS Detection: Performance Evaluation and Analysis

With the continuous rise in the number of mobile device users, SMS (Short Message Service) remains a prevalent communication tool accessible on both smartphones and basic phones. Consequently, SMS traffic has experienced a significant surge. This increase has also led to a rise in spam messages, as spammers seek financial or business gains through activities like marketing promotions, lottery scams, and credit card information theft. Consequently, spam classification has become a focal point of research. In this paper, we explore the effectiveness of 11 machine learning algorithms for SMS spam detection, including multinomial Naïve Bayes, K-Nearest Neighbors (KNN), and Random Forest, among others. Utilizing datasets from UCI and Bangla SMS collections, our experimental results reveal that the multinomial Naïve Bayes algorithm surpasses previous models in spam detection, achieving accuracies of 98.65% and 89.10% in the respective datasets.

Construction of a prediction model for Alzheimer’s disease using an AI-driven eye-tracking task on mobile devices

BackgroundEye-movement can reflect cognition and provide information on the neurodegeneration, such as Alzheimer’s disease (AD). The high cost and limited accessibility of eye-movement recordings have hindered their use in clinics.AimsWe aim to develop an AI-driven eye-tracking tool for assessing AD using mobile devices with embedded cameras.Methods166 AD patients and 107 normal controls (NC) were enrolled. The subjects completed eye-movement tasks on a pad. We compared the demographics and clinical features of two groups. The eye-movement features were selected using least absolute shrinkage and selection operator (LASSO). Logistic regression (LR) model was trained to classify AD and NC, and its performance was evaluated. A nomogram was established to predict AD.ResultsIn training set, the model showed a good area under curve (AUC) of 0.85 for identifying AD from NC, with a sensitivity of 71%, specificity of 84%, positive predictive value of 0.87, and negative predictive value of 0.65. The validation of the model also yielded a favorable discriminatory ability with the AUC of 0.91, sensitivity, specificity, positive predictive value, and negative predictive value of 82%, 91%, 0.93, and 0.77 to identify AD patients from NC.Discussion and ConclusionsThis novel AI-driven eye-tracking technology has the potential to reliably identify differences in eye-movement abnormalities in AD. The model shows excellent diagnostic performance in identifying AD based on the current data collected. The use of mobile devices makes it accessible for AD patients to complete tasks in primary clinical settings or follow up at home.

An experimental study on the effect of non-ionizing electromagnetic fields on honey bees

ABSTRACT Due to the increase in data rate in mobile communication and the widespread use of mobile internet, electromagnetic communication systems are increasing daily. This situation causes increases in the use of more mobile communication devices and environmental non-ionizing Electromagnetic Field (EMF) levels. The rise of bee deaths and colony losses in beekeeping parallel to the increase of the EMF sources cause the concept of “electromagnetic pollution” to be considered among the reasons. Therefore, studying the effects of non-ionizing Electromagnetic Radiation (EMR) on the health of living things is one of the most significant issues today. The bees determine their direction with the Earth’s magnetic field. Electromagnetic signals emitted by GSM base stations, etc. may affect the direction-finding capabilities of honey bees and constitute a stress factor. In this study, the aim was to determine the effect of EMF on honey bees and honey yield. Honey bee colonies were used, obtained from the same farm in the Trabzon region, and equalized in all respects. Moreover, these colonies were divided into five groups randomly as experiments and control groups. The experiment hives were exposed to the EMF in the frequency band of the Wi-Fi signals (2.4 GHz) and the high-voltage line (50 hz). The control hives are located far away from the EMR sources. The study was repeated in the second year to confirm the results. During the investigation, some physiological and behavioural effects of bees, such as aggressiveness, brood area, etc. were determined based on EMR exposure.

Transformations of street photography in the era of digital technologies

The purpose of the article is to explore the main features of street photography’s development in the digital age. The methodology. Several methods were used to analyze the street photography genre. The logical-analytical method helped to organize and summarize key ideas. The subject-analytical method allowed a deeper look at photography as a form of art and social communication. The system-analytical method showed the connection between technology and the evolution of the genre. The typological method identified the main stages of street photography development, and the historical-cultural method traced the impact of cultural factors on the genre. The results. Digital technologies have greatly influenced the genre, transforming it from traditional to new forms. The use of mobile devices and social media has blurred the lines between professional and amateur photography, opening new creative possibilities. Street photography now includes elements of humanism, surrealism, and documentary film, creating visual stories that reflect the social space of the digital age. The scientific novelty. This study explores how digital technologies have changed street photography. It also explores how humanism, surrealism, and documentary film influence the genre, as well as its historical and modern development. The conclusions. Digital photography is flexible and widespread because of mobile devices, which affects how people create. Smartphones, social media, mirrorless cameras, and AI have changed the genre, making it harder to tell the difference between professional and amateur work. Street photography continues to adapt to the changing cultural space. The practical significance of the article is in its contribution to understanding how digital technologies affect street photography and audiovisual arts. It helps both researchers and artists better understand how technology is changing creative expression.

Critical success factors for implementing a smart IoT-based decision framework in the water industry

ABSTRACT The decentralized nature of information and the widespread use of mobile devices for accessing content make the water sector an excellent platform for using the Internet of Things (IoT) paradigm to streamline procedures, benchmark standards, and create a sustainable environment. Smart devices play an essential role in deploying digital solutions through IoT. They help connect the physical world with the digital universe and are regarded as fundamental entities within a network-integrated through IoT. The study provides a better understanding to assess the critical success factors (CSFs) for smart device implementation in the water sector. The factors are obtained from the literature and shortlisted with the help of experts using the Delphi method. Kappa statistics are used to further validate the experts' consensus. The significant factors identified were leadership, usability, cost of implementation, technology awareness, data privacy, interoperability and community partnership. Mental modeler software has been used to construct a fuzzy logic cognitive mapping of CSFs to represent causal reasoning in diagraphs. Scenario analysis was conducted for each CSF. The study provides recommendations for policymakers to develop precise strategies for integrating IoT in the water industry.

SECURITY ISSUES IN MOBILE CLOUD COMPUTING TECHNOLOGY

The widespread use of smartphones and other mobile devices has brought significant changes to the storage requirements of cloud systems, necessitating a reevaluation of security protocols. Mobile Cloud Computing (MCC) is a computing paradigm that combines the capabilities of mobile devices with the flexibility and scalability of cloud computing. MCC allows mobile users to access computational power, storage, and applications over the internet, facilitating resource-intensive tasks such as data analysis, gaming, and multimedia streaming on resource-constrained mobile devices. The integration of mobile and cloud technologies has revolutionized industries such as healthcare, education, and entertainment, offering benefits like enhanced mobility, improved resource utilization, and cost efficiency. Despite its advantages, MCC faces significant security challenges that could undermine user trust and disrupt its adoption. Since mobile devices and cloud servers are connected via insecure networks, malicious actors can exploit vulnerabilities in the system. This paper aims to analyze the primary security issues in MCC technology, focusing on data protection, authentication, access control, and other critical concerns. Unlike other issues, when dealing with business objectives, protection and privacy in financial activities are of paramount importance. This article examines mobile cloud computing, its technological model, and its role in detail. Keywords: Mobile cloud computing, Technology, Privacy issues, Security.

Looking Back on Digital Medical Education Over the Last 25 Years and Looking to the Future: Narrative Review

Background The last 25 years have seen enormous progression in digital technologies across the whole of the health service, including health education. The rapid evolution and use of web-based and digital techniques have been significantly transforming this field since the beginning of the new millennium. These advancements continue to progress swiftly, even more so after the COVID-19 pandemic. Objective This narrative review aims to outline and discuss the developments that have taken place in digital medical education across the defined time frame. In addition, evidence for potential opportunities and challenges facing digital medical education in the near future was collated for analysis. Methods Literature reviews were conducted using PubMed, Web of Science Core Collection, Scopus, Google Scholar, and Embase. The participants and learners in this study included medical students, physicians in training or continuing professional development, nurses, paramedics, and patients. Results Evidence of the significant steps in the development of digital medical education in the past 25 years was presented and analyzed in terms of application, impact, and implications for the future. The results were grouped into the following themes for discussion: learning management systems; telemedicine (in digital medical education); mobile health; big data analytics; the metaverse, augmented reality, and virtual reality; the COVID-19 pandemic; artificial intelligence; and ethics and cybersecurity. Conclusions Major changes and developments in digital medical education have occurred from around the start of the new millennium. Key steps in this journey include technical developments in teleconferencing and learning management systems, along with a marked increase in mobile device use for accessing learning over this time. While the pace of evolution in digital medical education accelerated during the COVID-19 pandemic, further rapid progress has continued since the resolution of the pandemic. Many of these changes are currently being widely used in health education and other fields, such as augmented reality, virtual reality, and artificial intelligence, providing significant future potential. The opportunities these technologies offer must be balanced against the associated challenges in areas such as cybersecurity, the integrity of web-based assessments, ethics, and issues of digital privacy to ensure that digital medical education continues to thrive in the future.

PENGEMBANGAN APLIKASI KEAMANAN MOBILE UNTUK MENGAWASI JARINGAN RUMAH DARI JARAK JAUH

In the current era of globalization, the use of mobile devices has become an important part of daily life by providing easy internet access to various online service applications. Security is an important aspect to deal with increasing general crime in Indonesia, for this reason innovation is needed to develop a remote home security application to prevent theft. The solutionis to create a home monitoring tool that adopts CCTV cameras. Which uses ESP32-CAM as a microcontroller which can be monitored via the application, there is also a PIR Sensor to detect living objects. The output produced is a buzzer as an alarm sound warning and there is also a notification in the application.

Enhancing Smartphone Battery Life: A Deep Learning Model Based on User-Specific Application and Network Behavior

Smartphones have become a central element in modern society with their widespread adoption driven by technological advancements and their ability to facilitate everyday tasks. A critical feature influencing user satisfaction and smartphone adoption is battery life, as the intensive use of mobile devices can significantly drain battery power. This paper addresses the challenge of predicting smartphone battery consumption using artificial intelligence techniques, specifically deep learning, to optimize energy efficiency. By collecting and analyzing data from mobile devices, such as application usage, screen time, network type, network usage, and battery temperature among others, we developed a predictive model tailored to user-specific behavior. This model identifies the key variables affecting battery consumption and provides personalized energy-saving strategies. Our approach offers a solution for improving battery performance, contributing to more efficient energy management in both hardware and networking terms while adapting to individual usage patterns. The results demonstrate that our approach can significantly predict the battery to anticipate power demands based on user-specific usage. While challenges remain, such as improving the generalizability of the model across different devices, this approach provides a scalable and adaptive method to improve the energy efficiency of smartphones, which will allow efficient management solutions to be suggested, contributing to better battery and network management to improve user experience and device longevity.

A Declarative Modeling Framework for Intuitive Multiple Criteria Decision Analysis in a Visual Semantic Urban Planning Environment

The magnitude and multiformity of recorded and readily available urban data from independent sensors and mobile user devices have paved new possibilities for city environment planning and evolution. In previous works, a visual semantic decision support system for urban planning was presented, and the capability of machine learning approaches, ranging from random forests to graph-based convolutional neural networks, to infer preferable directions for future development was explored, extrapolating upon previous opted locations and selected alternatives for publicly commercial services. In this work, the anterior decision-making process leading to establishment choices is addressed with the same sets of criteria and samples within the same environment. A Declarative Modeling shell is proposed, and Multiple Criteria Decision Analysis processes are adopted to encompass the DM’s/DMs’ rationale, solely relying on methodologies close to human intuition. To this end, outranking representatives from the PROMETHEE family as well as weighted sum approaches are employed, fueled by the interpretation of the declarative description of decision parameters on behalf of the DM(s), exploring the ability to achieve classifications in a straight synthetic manner, i.e., in the absence of previous knowledge, thus exhibiting the potential of decision analysis methodologies, enhanced by Declarative Modeling, to be used as powerful intuitive tools in similar paradigm contexts.

Integration of Digital Technology to E-Commerce Transactions as a Basis for Central Digital Currency Development

This study analyses the effect of digital technology integration on e-commerce transactions as a basis for Central Digital Currency (CBDC) development. By taking into account independent variables such as the number of internet users and the number of mobile device users, this study identifies the correlation between the development of digital technology and the adoption of e-commerce transactions with the potential implementation of Central Digital Currency (CBDC). Using the panel data regression analysis method, the results show a significant relationship between digital technology and an increase in the volume of e-commerce transactions, which can accelerate the development of Central Digital Currency (CBDC). The findings also strengthen the argument that the increased use of digital technology can be an important indicator in the development of digital currencies by central banks. This study suggests the need for more comprehensive regulations in support of the digital ecosystem and infrastructure readiness for Central Digital Currency (CBDC) in the future.

Mobile-Based Digital Assessment Transforming the Learning Support Efficiency

The digital age has brought great changes in many areas of life, including education. The main change is the use of mobile device systems such as smartphones or tablets that are practical to change the way assessments affect learning efficiency. This paper examines how mobile-based digital assessment systems can improve the effectiveness and efficiency of the assessment process in learning. This paper aims to provide educators with practical guidance for integrating technology into their assessment systems by utilizing available mobile smartphones or tablets and conducting an analysis of the benefits and challenges faced. This study also explores how to maximize the use of smartphones or tablets as a support tool in conducting assessments and can enrich the learning experience of students through faster and personalized feedback. Assist educators in managing assessments in a more structured and measurable way. In addition, recommendations for the effectiveness of smartphone use in supporting the assessment system are also included so that educators can achieve optimal results in the learning process. This study contributes to the educational literature by providing new perspectives on the application of technology and the use of mobile devices to assessment by presenting empirical evidence that supports the effectiveness of assessment application in improving the quality of education.