Ibrahim Arpaci

Bandirma Onyedi Eylül Üniversitesi · Department of Software Engineering

The decision to integrate mobile cloud computing (MCC) in education without determining optimal use scenarios is a universal problem as the adoption of such services becomes widespread. Accordingly, this study developed and validated a predictive model that explains the role of students' information management (i.e. retrieve, store, share, and appl...

This study aimed to develop a cybersecurity scale to measure individuals' practices and perceptions regarding cybersecurity. The study tested psychometric properties of the Cybersecurity Scale (CS-S) by employing a multi-stage research design. In the first study, an Exploratory-Factor-Analysis (EFA) was conducted to explore the underlying factor st...

The present study investigated the role of six fundamental attributes of cybersecurity (i.e., authenticity, availability , confidentiality, integrity, possession/control, and utility) in predicting the adoption of cryptocurrencies. The study developed a prediction model and evaluated this model using a complementary approach by integrating structur...

With a primary focus on cybersecurity risks, this study endeavors to explore the sustainable deployment of artificial intelligence (AI) chatbots and, ultimately, to promote their social sustainability. The study introduces an enhanced model built upon the “Protection Motivation Theory” (PMT) to explore the factors that predict the social sustainabi...

Cryptocurrencies stand as a significant financial innovation, poised to transform traditional financial systems by facilitating faster, cost-efficient, and inclusive value transfers. Understanding their sustainability is essential in comprehending their potential to reshape established financial frameworks. Hence, this study aimed to identify the f...

With their cost-effective performance, potential to encourage environmentally friendly behavior, and increased sustainability, autonomous vehicles (AVs) are expected to lead to significant changes in the economy, society, and the environment. This study investigates factors predicting green behavior and environmental sustainability in AVs. The stud...

Telemedicine offers transformative solutions for healthcare delivery, particularly in bridging geographical barriers and enhancing patient care. Nevertheless, its adoption by physicians is intricate, driven by diverse factors that require systematic understanding. This systematic review aims to identify and classify the factors influencing physicia...

21. yüzyıl yaşamın her alanında büyük değişim ve dönüşümler meydana getirmiştir. Bu değişim ve dönüşümlere uyum sağlayacak ve zorluklarıyla yüzleşebilecek bireylerin yetişmesi eğitimde de paradigma değişimlerine neden olmuştur. Bu paradigma değişimi özellikle yükseköğretimde kendi başına bilgi edinen öz-yönetimli öğrenciler yetiştirmeyi amaçlamakta...

This study explored the intricate connections between environmental attitudes, global social responsibility, digital literacy, and green purchasing intentions in emerging adults. A total of 662 participants were actively engaged by completing the Environmental Attitude Scale, Digital Literacy Scale, and Global Social Responsibility Scale. The confi...

This study aims to investigate the predictive role of cultural intelligence, motivation to teach, and “culturally responsive classroom management self‐efficacy” (CRCMSE) in teachers’ sense of efficacy. The study utilized a combination of “structural equation modeling” (SEM), deep learning, and “artificial neural network” (ANN) to analyze data colle...

The research investigated the “Technological Pedagogical Content Knowledge” (TPACK) of pre-service mathematics teachers and its impact on their sustained intention to utilize GeoGebra in teaching mathematics. This study introduced a novel research model by extending the “Unified Theory of Acceptance and Use of Technology” (UTAUT) with TPACK. Throug...

The Internet of Things (IoT) holds immense potential for the social and economic development of developing countries, as recognized by academia and professionals. However, there is a notable lack of theoretical research on IoT adoption within agricultural settings. To address this gap, this study introduces a model focusing on nine critical “Techno...

Purpose In response to the growing importance of understanding individual investment strategies, the present study aimed to develop a new scale for measuring both the short- and long-term investment strategies of individuals. Design/methodology/approach The study assessed the psychometric properties of the investment strategies scale (ISS) using d...

Purpose The proliferation of smartwatches in the digital age has radically transformed health and fitness management, offering users a multitude of functionalities that extend beyond mere physical activity tracking. While these modern wearables have empowered users with real-time data and personalized health insights, their environmental implicatio...

Computer-based evaluation systems offer several advantages, such as providing flexibility in terms of time and space and reducing costs. This study aimed to develop a research model that integrates the key factors predicting user acceptance of the E-Exam system into the Technology Acceptance Model (TAM). The data was collected from 245 actual and p...

Learning analytics (LA) is a rapidly growing educational technology with the potential to enhance teaching methods and boost student learning and achievement. Despite its potential, the adoption of LA remains limited within the education ecosystem, and users who do employ LA often struggle to engage with it effectively. As a result, this study deve...

The metaverse is widely regarded as “the evolution of the Internet,” with the potential to provide opportunities for various stakeholders. In addition to enhancing productivity among employees and creating new business models and revenue streams, it can increase the competitiveness of organizations. However, like any disruptive technology, it poses...

The purpose of this study was to investigate the relationship between teacher candidates' academic self-efficacy, self-directed learning, and future time perspective. A dual-stage analytical approach, utilizing both traditional structural equation modeling (SEM) and Machine Learning Classification Algorithms, was employed to test the proposed hypot...

Lung cancer, one of the deadliest forms of cancer, can significantly improve patient survival rates by 60-70% if detected in its early stages. The prediction of lung cancer patient survival has grown to be a popular area of research among medical and computer science experts. This study aims to predict the survival period of lung cancer patients us...

In industrial manufacturing and research laboratories, precise machining of work materials is crucial to meet the demand for fast assembly and sustainable high-quality production. Precise machining procedures play a vital role in manufacturing compatible parts that meet the production requirements. This study investigates the impact of different pa...

The present study adapted the “questionnaire of Internet use motives” (MUI) into Turkish based on data collected from 638 adults. Results showed that the Turkish version of the MUI has a high internal consistency (α= .88) along with convergent and discriminant validity. The confirmatory factor analysis results supported the five-factor structure of...

The design, development, and maintenance of hospital information systems face major challenges, which ultimately cause failures of these information systems. This study aimed to identify and rank critical success factors for hospital information systems by applying a fuzzy analytical hierarchy process. Potential critical success factors that could...

The lockdowns and curfews during the COVID-19 pandemic have halted economic and transportation activities across the world. This study aims to investigate air pollution levels in the Marmara region, particularly in Istanbul, before and during the COVID-19 pandemic. The study used real data provided by the General Directorate of Meteorology and appl...

Citation: Arpaci, I.; Kaya, A.; Bahari, M. Investigating the Influence of an Arduino-Based Educational Game on the Understanding of Genetics among Secondary School Students. Sustainability 2023, 15, 6942. https:// Abstract: This study aims to investigate the impact of an educational game created using Arduino on the learning of genetics by secondar...

Over the last decade, there has been notable academic interest in the multidisciplinary studies of science education with the emergence of STEAM. Accordingly, this study aimed to conduct an experimental study to explore the effectiveness of a STEAM-based space-themed learning module in science education taught to primary school students. The sample...

This study developed a psychometric scale to measure users' cybercrime awareness level on social media. Psychometric properties of the Cybercrime Awareness on Social Media Scale (CASM-S) were tested based on data collected from 1045 social media users. Exploratory factor analysis (EFA) with principal components analysis was used to identify the und...

The emergence of wearable technologies, including smartwatches, has received a considerable attention from scholars across several sectors. However, there is a scarcity of knowledge regarding the determinants affecting the adoption of these wear-ables in education. Therefore, this research aims to propose a theoretical research model through the in...

The study investigated the moderating role of exhibitionism in the relationship between psychological needs (i.e., autonomy, competence, and relatedness) and selfie-posting behavior. The study proposed a research model by extending the "self-determination theory" with exhibitionism to better explain selfie-posting behavior. Structural equation mode...

The association between information management and cloud computing has been supported substantially in the existing literature. However, little is known about the role of national culture in this relationship. Accordingly, this study aims to investigate the role of national culture in the relationship between information management and the adoption...

This study aimed to investigate the research trends in Nanoscience and Nanotechnology (NST) Education through a bibliometric mapping analysis. With its focus on NST education and an analysis of a comprehensive number of studies, this study is expected to provide a guide for new studies, identify the trends in the field and compare the existing rese...

In egg production facilities, the classification of eggs is carried out either manually or by using sophisticated systems such as load cells. However, there is a need for the classification of eggs to be carried out with faster and cheaper methods. In the agri-food industry, the use of image processing technology is continuously increasing due to t...

Artificial intelligence (AI) products play a significant role in achieving environmental sustainability. These products can save various resources (e.g., energy, water), achieve cost savings, and manage waste better. However, understanding the determinants affecting the use of AI products and their impact on environmental sustainability is relative...

Purpose Cybercrimes increase day by day in parallel to cyber-attacks and cyber-threats. Due to such an increase, required cybersecurity precautions against all kinds of cyber-attacks and cyber-threats should be taken by both organizations and individuals. This study aims to develop a reliable and valid measurement tool to measure cybercrime awarene...

Nowadays, many people work from home, owing in part to the COVID-19 pandemic. Home users are susceptible to a variety of threats emanating from the internet. Numerous studies have been conducted linking threat appraisal and its relationship to multidimensional security behaviour. The purpose of this study was to ascertain users' perceptions of thre...

2022): Understanding the impact of knowledge management factors on the sustainable use of AI-based chatbots for educational purposes using a hybrid SEM-ANN approach, Interactive Learning Environments, ABSTRACT Artificial intelligence (AI)-based chatbots have received considerable attention during the last few years. However, little is known concern...

This study aims to adapt the E-Learning Readiness Scale developed by Alem, Plaisent, Zuccaro, and Bernard (2016) to Turkish culture and to test its validity and reliability according to data obtained from elementary school students. The research was designed in survey model. For this reason, the descriptive method was applied, and quantitative data...

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The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence-quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics an...

The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence-quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics an...

Statistical Analysis Used: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to evaluate the construct validity. The average variance extracted and construct reliability were used to assess the convergent validity and the maximum shared squared variance and average shared squared variance were used to assess discrim...

This study investigated the mediating role of cultural intelligence in the relationship between social justice and global citizenship. A research model was developed and tested by employing a structural equation modelling (SEM) approach based on data collected from 441 prospective teachers. The results indicated that social justice has a significan...

Nomophobia is considered as the "disorder of modern world" and defined as "fear of being without access to a mobile phone." This study investigated gender differences in the relationship between problematic Internet use and nomophobia. Structural equation modeling (SEM) approach was employed to assess the relationship between nomophobia and four di...

Background: The COVID-19 pandemic has become a source of fear worldwide and has negative mental health effects on the general population. In 2022, the epidemic continues to be characterized by many points, widespread and frequent in China, and the situation is serious and complex. To provide an effective and scientific tool, the study validated the...

Metaverse is an immersive three-dimensional (3D) virtual world inhabited by avatars beyond the physical realm. The COVID-19 pandemic has disrupted the education system and the need to accelerate the digitalization of education has received a lot of attention. Metaverse can be an alternative solution for sociocultural interaction and to continue edu...

In this study we investigated the relationships between nomophobia, psychological resilience, and mindfulness using a covariance-based structural equation modelling (SEM) analysis and examined the mediating role of psychological resilience in the relationship between mindfulness and nomophobia. The sample comprised 300 Turkish adolescents between t...

This study validated the COVID-19 Phobia Scale (C19P-SE) based on data collected from 227 adults in the United States. Results indicated that the C19P-SE has adequate reliability (alpha = .93) along with factorial, discriminant, and convergent validity. Results of confirmatory factor analysis (CFA) supported the four-factor structure of the C19P-SE...

This study aimed to investigate the validity, reliability, and optimal cutoff points for the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-9 (PHQ-9), and Well-being Index (WHO-5) to screen mild depression among 400 Iranian students who completed these tools and Beck Depression Inventory (BDI-13). Further, a psychiatrist diagn...

This study investigated the mediating role of positivity in the relationship between state anxiety and problematic social media use during the COVID-19 pandemic. The Positivity Scale, State-Trait Anxiety Inventory, and Bergen Social Media Addiction Scale were used to collect data from 834 social media users. SEM-based mediation analysis was used to...

This study aimed to predict the culturally responsive teacher roles based on cultural intelligence and self-efficacy using machine learning classification algorithms. The research group consists of 415 teachers from different branches. The Bayes classifier (NaiveBayes), logistic-regression (SMO), lazy-classifier (KStar), meta-classifier (LogitBoost...

The COVID-19 pandemic has affected the world deeply and an increase in psychological distress have been observed in globally. Therefore, investigation of the psychological problems associated with the COVID-19 has become an important research area. Accordingly, this study aimed to examine the relationships among Fear of COVID-19 (FoC), depression,...

This study investigated the mediating role of positivity in the relationship between state anxiety and problematic social media use during the COVID-19 pandemic. The Positivity Scale, State-Trait Anxiety Inventory, and Bergen Social Media Addiction Scale were used to collect data from 834 social media users. SEM-based mediation analysis was used to...

Virtual meeting platforms have been identified as the golden bullet to deliver the learning materials to students during the COVID-19 pandemic. While this is evident across thousands of universities across the globe, the literature is scarce on what impacts the continued use of these platforms during and beyond the COVID-19 pandemic. Therefore, thi...

This study aimed to predict problematic smartphone use based on early maladaptive schemas (EMS) and five schema domains. Machine learning algorithms were used to test the predictive models based on data collected from 1000 smartphone users. The study tested the predictive models by employing six machine learning classification algorithms (i.e., Bay...

The Metaverse is an immersive virtual universe where users interact with each other using an avatar. The Metaverse is promised to offer numerous opportunities for many sectors. While the Metaverse promotes the social interaction between users, there is a scarcity of knowledge on what affects its social sustainability. Hence, this research develops...

This study aimed to develop and validate a short form of the Smartphone Addiction Inventory (SPAI) and determine the cutoff point for smartphone addiction based on a psychiatric interview. A sample of 281 Iranian undergraduate students from Mazandaran University of Medical Sciences completed the 26-item SPAI and psychologist interview. Stepwise mul...

The purpose of this study was to determine the factors affecting the acceptance of Picture Archiving and Communication System (PACS) by healthcare professionals based on the Unified Theory of Acceptance and Use of Technology (UTAUT). A total of 600 nurses, physicians, and paramedical staffs who perform their main tasks using the PACS in educational...

The essential purpose of this research is to examine the behavioral intention to adopt smartwatches by individuals. A theoretical model was developed by integrating the Technology Acceptance Model (TAM) with the common smartwatch features, including mobility, availability, and perceived enjoyment. A quantitative approach using an online survey was...

In late 2019, a novel coronavirus (COVID-19) was determined in Wuhan, China. The newly emerged epidemic has spread rapidly, with an increasing number of confirmed cases worldwide. While intelligent systems have been immensely tested and implemented across a wide range of health problems, the emergence of COVID-19 requires the need to use these syst...

The negative effects of the COVID-19 pandemic are not limited to psychological, but also include social and economic effects. This study investigated psychological, social, and economic effects of COVID-19 pandemic on the Turkish population. COVID-19 Phobia Scale (C19P-S) was used to collect data from 2143 participants. Results indicated that women...

Technology acceptance is one of the most dynamic research areas in the field of Information Systems (IS). This chapter provides a systematic overview of technology acceptance theories by clarifying the relations among the theories and models. The chapter developed a theoretical model by extending the "Tech-nology Acceptance Model" (TAM) to better e...

Despite the growing need for IT graduates, the retention rate in software-related undergraduate programs is still a major concern. This stems from the difficulty and complexity of programming concepts for a large number of students. To handle this situation, this research introduces the "PROBSOL" application that is offered in three different platf...

This study investigated role of the self-directed learning skills, metacognitive awareness, and 21st century skills and competences in predicting readiness for online learning during the COVID-19 pandemic. 21st Century Skills and Competences Scale, Self-Directed Learning Skills Scale, Metacognitive Awareness Inventory, and Readiness for Online Lear...

Public awareness is crucial in the prevention and management of the pandemic outbreaks. Accordingly, this study aimed to develop a scale that measures individuals' awareness on pandemic outbreaks. The study investigated psychometric properties of the Pandemic Awareness Scale (PAS) in a Turkish sample (n = 1303) during the COVID-19 pandemic. The exp...

This study investigated the relationships between early maladaptive schemas (EMSs) and smartphone addiction. The study further investigated the moderating role of mindfulness in the relationship between EMSs and smartphone addiction. The study employed a SEM-based multi-group analysis using data collected from 660 mobile users in Turkey. Results in...

relationships with others, and clinical activities among nursing students. The main goal of the study was to adapt and validate Persian version of the Smartphone Addiction Inventory (SPAI-PV) in a sample of nursing students. SPAI translated into Persian by employing a forward–backward translation method and content validity were established. The sa...

The purpose of this study is to investigate the gaming habits, personality traits, and Inter-net gaming disorder (IGD) of Kyrgyz adolescents. Sociodemographic questions, gaming-related questions, Internet Gaming Disorder Test (IGD-10), and Big Five Inventory (BFI-10) were used to collect data from 248 Kyrgyz adolescents between the ages of 11 and 2...

While the RT-PCR is the silver bullet test for confirming the COVID-19 infection, it is limited by the lack of reagents, time-consuming, and the need for specialized labs. As an alternative, most of the prior studies have focused on Chest CT images and Chest X-Ray images using deep learning algorithms. However, these two approaches cannot always be...

The study investigated the mediating role of tolerance in the relationship between cultural intelligence and xenophobia. The study further investigated the moderating role of gender in the relationships between cultural intelligence, tolerance, and xenophobia. A structural equation modeling-based mediation and multi-group analysis were employed usi...

This study investigates the impact of global infection rates on social media posts during the COVID-19 pandemic. The study analysed over 179 million tweets posted between March 22 and April 13, 2020 and the global COVID-19 infection rates using evolutionary clustering analysis. Results showed six clusters constructed for each term type, including t...

This study presents a cross-cultural analysis of the influence of psychological needs and cultural individualism on problematic Internet use. The Individualism-Collectivism Scale, New Needs Assessment Questionnaire, and Internet Addiction Scale were used to collect data from American and Turkish college students. A structural equation modeling base...

Emran (2020): Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms, Interactive Learning Environments, ABSTRACT Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence,...

This study investigated the in°uence of social interactions and subjective norms on indivi-duals' social media postings. The study developed a theoretical model by extending the Theory of Reasoned Action with social interactions. A CB-SEM analysis was conducted to test the hypothesised relationships based on the data collected from 312 social media...

WhatsApp stickers are gaining popularity among university students due to their pervasiveness, specifically in educational WhatsApp groups. However, the acceptance of stickers by university students is still in short supply. Thus, this research aims to empirically examine the determinants affecting the acceptance of WhatsApp stickers through a prop...

The present study reviewed current trends in the literature on problematic Internet use. The review included a total of 48 studies published within the last two years and covered by the Web of Science and Scopus databases. Despite frequently investigated in the literature, results of the studies suggest that there is still much to be unveiled regar...

Wearable technologies are becoming more pervasive with the development of high computational capability devices such as smartwatches, smart glasses, smart pills, and sensors. The emergence of these technologies may offer unique opportunities for both students and academics by allowing ubiquitous communication. Accordingly, the current study develop...

This study aimed at contributing to the literature by adaptation and validation of the Turkish version of the Smartphone Addiction Inventory (SPAI). The psychometric properties of the inventory were evaluated through the data obtained from 330 undergraduate students. A confirmatory factor analysis (CFA) was employed to validate the inventory. The r...

To the best of our knowledge, much research has been conducted concerning the topic of mobile learning (m-learning) adoption or acceptance. However, examining the continued use of m-learning is still in short supply and calling for further research. To bridge this limitation, this study develops an integrated model through the integration of three...

Abstract With the integration of popular technologies such as social media, smartphones, and tablets in the education system, new online course delivery methods such as flipped classrooms have emerged to enhance teaching and learning. To understand implications of the integration of such technologies in education the study examined the responses of...

This study contributed to cyberpsychology literature by identifying moderating role of gender in the relationship between personality traits and smartphone addiction. A multi-group SEM analysis was employed to investigate the relationship between five factor personality traits (i.e. Big Five) and smartphone addiction among men and women. Big-Five-I...

a new type of specific phobia, which may be categorized under DSM-V 300.29. The current study developed a self-report instrument whose items address the specific phobia diagnosis criteria of the DSM-V and tested its initial psychometric properties. Results show that the scale has initial evidence of construct, convergent, and discriminant validity,...

Background: Among a variety of dynamics that may have effects on internet-related behaviors, cultural orientation is particularly important. Previous studies suggest that individualism is a strong determinant of certain behaviors. In addition, findings suggest that vertical individualism may lead to the development of more tolerance for addiction a...

This study conducted a cross-cultural analysis of the impact of kntowledge management (KM) practices on the acceptance of Massive Open Online Courses (MOOCs). The study extended the Technology Acceptance Model (TAM) with KM practices. A structural equation modeling (SEM) was employed to test the hypothesized relationships based on data collected fr...

This study investigated drivers of the online self-disclosure behaviour on social media by employing a complementary structural equation modelling (SEM) and artificial intelligence approach. The study developed a theoretical model based on the 'theory of planned behaviour' (TPB) and 'communication privacy management' (CPM) theory. The predictive mo...

People started posting textual tweets on Twitter as soon as the novel coronavirus (COVID-19) emerged. Analyzing these tweets can assist institutions in better decision-making and prioritizing their tasks. Therefore, this study aimed to analyze 43 million tweets collected between March 22 and March 30, 2020 and describe the trend of public attention...

Mobil teknolojilerin yaygınlaşmasıyla birlikte teknoloji bağımlılığı güncel ve yaygın bir sorun haline gelmiştir. Gelişmiş ülkelerde akıllı telefon, internet ve sosyal medya kullanımı gelişmekte olan ülkelere nispeten daha yüksektir. Akıllı telefon kullanım oranı gelişmiş ülkelerde ortalama %76 iken, gelişmekte olan ülkelerde bu oran %45 olarak bel...

The chapter provided a comprehensive review of previous studies on the adoption of information and communication technology (ICT). The study further conducted a qualitative study on the adoption of "bring your own device" (BYOD). The study systematically reviewed technology acceptance theories and models such as TAM, TPB, and UTAUT at the individua...

The consumerization of information and communication technology (ICT) is a practically important research question. Throughout this paper, the author investigates the reasons that lead to this new and important practice. He analyzes the evolution and current state of ICT adoption research, identifying adoption patterns and determining factors, and...

Current study investigates the relationships among personality characteristics, psychological needs, problematic Internet use and problematic social media use. A theoretical model was specified, estimated, and evaluated based on the data collected from 436 college students (Mean Age = 20.93 years, SD = 2.11 years). First, structural equation modeli...

Scratch has been implemented as a preliminary programming environment to improve students' programming experience, motivation, and success in the Computer Science (CS) or Engineering departments. Acceptance and use of this visual programming environment by CS or Engineering students is a significant research area. Accordingly, this study investigat...

This study aims at contributing to literature by investigating the role of espoused culture in influencing nomophobia. In the present study, the Nomophobia Questionnaire (NMP-Q) and Individualism-Collectivism (INDCOL) Scale were used to measure nomophobia and horizontal/vertical collectivism. The psychometric properties of the scales were examined...

This study aimed to investigate the impact of individual differences in mindfulness on nomophobia. We developed and validated two structural models to identify the relationship between mindfulness and nomo-phobia. The 'Nomophobia Questionnaire' and the 'Mindful Attention Awareness Scale' were used to obtain data from the subjects. One-way MANOVA re...

ABSTRACT Purpose: Positive contributions of the innovation capability on the academic success of the students and development of the personal innovation competence by applying up-to-date pedagogies and activities have recently become a significant research topic. Therefore, this study investigated the relationship between students' individual innov...

This study contributes to the cyberpsychology literature by investigating the moderating effect of gender in the relationship between narcissism and selfie posting behavior. A demographic questionnaire, 13-item selfie-posting scale developed and validated in the present study, and Narcissistic Personality Inventory (NPI-16) were used to collect dat...