Search results

Today’s undergraduate students have spent a significant portion of their lives using YouTube for various reasons, whether for entertainment, personal development or academic learning purposes. This study aims to investigate how system factors (i.e. reliability, usability and searchability), interaction factors (i.e. provider and user interactions) and content factors (i.e. format, relevance and coverage) affect undergraduate students’ satisfaction with YouTube and their intentions to adopt YouTube for learning purposes.

This research uses the information systems success model as its theoretical framework to explore the system, interaction and content factors associated with undergraduate students’ satisfaction with YouTube and their intentions to use YouTube for learning. The proposed hypotheses were examined by the structural equation modelling technique based on a survey with 345 undergraduate students at a Southeastern institution in the USA.

The results indicate that both system factors (including reliability, usability and searchability) and content factors (including format, relevance and coverage) have a statistically significant effect on students’ satisfaction with YouTube. This study also demonstrates that students’ satisfaction with YouTube significantly influences their intentions to use the platform for learning purposes.

The proposed research model provides a novel perspective in understanding the complex nature of students’ adoption of YouTube for learning purposes, led by both system and content factors mediated by satisfaction with YouTube.

This study suggests that when YouTube is intuitive to use and relevant content is added to the platform regularly, students are more likely to adopt this platform for learning purposes. As a result, it is critical that librarians remain aware of information-seeking practices and platforms used by students to tailor approaches to teaching information literacy to help students understand how to use the platform effectively.

Using the information systems success model, this research sheds light on the roles of system and content factors in undergraduate students’ satisfaction with YouTube and their intentions to use it for learning.

The e-learning-based approach is critical in keeping the wheels of education turning in the face of the COVID-19 epidemic. In this scenario, analyzing the implementation of the e-learning system is required to properly grasp the needs. The purpose of this paper is to demonstrate the relationship between technical system quality, information quality, service quality, educational system quality, support system quality, learner quality, instructor quality, perceived satisfaction, perceived usefulness, e-learning system use and benefits.

This study was carried out by giving online questionnaires to students attending private institutions in Indonesia. A total of 593 students participated in the study and provided responses. The structural equation model, which is supported by the program WarpPLS7.0, is used to analyze the data.

Maintaining the quality of the technological system, the information system, the learners and the educational system can help achieve the goal of increasing perceived utility. In the meanwhile, factors such as inadequate service quality, educational system quality, support system quality and teacher quality can all pose challenges to perceived levels of satisfaction. To get the most out of e-learning apps, users' expectations about how fun, useful and easy to use they are need to be met.

This study was carried out in the midst of the COVID-19 epidemic with a restricted number of participants from Indonesian institutions of higher education. This research has the potential to be expanded into a variety of different types of higher education in the future.

The main thing that will determine whether an e-learning system model works is the quality of the learners.

The institution should think about changing the material offered in the e-learning system to make it easier for students to grasp by describing the current material and providing digital handouts of lecturers' explanations. This study expanded the e-learning system success model and applied it to the evaluation of e-learning deployment in Indonesian higher education. This study will improve student comprehension of the e-learning model and contribute to the body of knowledge about e-learning applications and technology.

Malicious hackers are increasingly evolving with technology by developing advanced tools to infiltrate. They are looking at micro laundering via sites like PayPal or using job advertising sites, to avoid exposure. Micro laundering makes it possible to launder a large amount of money in small amounts through thousands of electronic transactions. Therefore, the purpose of this paper is to examine whether the ethical hacking pedagogy is both a feasible and effective approach to prepare information security professionals of the future to combat black hat hacking and other forms of unethical conduct in the cyberspace.

The paper will specifically explore the ethics and implications of teaching students how to hack. It examines the strengths and limitations of the ethical hacking pedagogy. The discussion will then form the basis for exploring whether ethical hacking pedagogy is logical and justifiable.

The research has examined whether the ethical hacking pedagogy is an initiative-taking and effective approach to preparing information security professionals. Teaching students to hack is the only feasible approach to preparing future cybersecurity professionals because such training will allow them to master technical skills necessary for penetration testing.

A dominant theme that emerged from the research is the inability to evaluate students’ intention and provide oversight after their graduation. Thus, professional networks and peer groups will play an instrumental role in sustaining students in an environment that fosters ethical conduct.

The Metaverse is an immersive virtual world where individuals interact with each other using an avatar. The Metaverse is promised to offer several potentials for different sectors. While the Metaverse promotes innovative interaction between individuals (e.g. learners), there is a scarcity of knowledge on what influences its acceptance and use in higher educational institutions (HEIs), particularly in developing countries. Thus, this paper aims to identify the factors that affect the users' intentions toward Metaverse technology for educational purposes in the HEIs in Jordan.

A study model was created by incorporating variables from the unified theory of acceptance and use of technology (UTAUT) (performance expectancy, PE; effort expectancy, EE; social influence, SI; and facilitating conditions, FC) and information system success (ISS) model (user satisfaction, SAT; system quality, SQ; service quality, SVQ and information quality, IQ) with perceived curiosity (PC) and hedonic gratification (HG) constructs. Both PC and HG were added as context-related factors that could contribute to improving the applicability of UTAUT and ISS to a wide range of technology use contexts. Data were gathered from 441 Jordanian university students using an online questionnaire.

The analysis of the structural model revealed that users' behavioural intentions toward using Metaverse were significantly affected by user satisfaction (SAT), performance expectancy (PE), facilitating conditions (FC) and hedonic gratification (HG). Also, information quality (IQ) and services quality (SVQ) were revealed to have a significant influence on user satisfaction. Likewise, the results illustrated a significant impact of systems quality (SQ), information quality (IQ) and service quality (SVQ) on PE. Lastly, a significant effect of PC on the EE factor was found.

This study will shed light on a number of practical implications for developers, designers, service providers and decision-makers supporting the acceptance and adoption of the Metaverse technology in the educational context. Also, it will contribute to developing the right strategies, and Metaverse content which will draw the attention of learners.

As per the surveyed literature and the researcher's prior knowledge, this is one of the first studies that integrate the UTAUT model, ISS model and two contextual factors (PC and HG) besides testing the proposed model in a developing country (Jordan). This paper is one of the few in which the individuals' acceptance behaviour of Metaverse technology was examined in the HEIs context.

Creating a mindset for research, including the development of professional research skills and critical thinking, is of the utmost importance in preparing students for the business world. To help faculty with this mindset, we discuss novel approaches for incorporating professional research and interactions into the undergraduate classroom, although the recommendations can apply to the entire curriculum. We describe three scenarios where our recommendations might apply – research/financial, tax, and accounting information system courses. Using a professional accounting research course and a financial course as examples, we start out broadly discussing a practitioner-coauthored professional case study approach that is applicable to any course, at any level. We then present a capstone undergraduate tax research course followed by an introduction of a specific project in an accounting information systems course. We include suggested syllabi, projects, and assessment rubrics throughout the discussion.

Business simulation games (BSGs) are gaining popularity in higher education as tools for entrepreneurial education. However, there are challenges in using BSGs for large classes of students in historically disadvantaged institutions (HDIs). The challenges include limited resources and digital literacy skills.

The living standards measure (LSM) indicates socioeconomic status by measuring the degree of urbanisation, access to services and possession of assets, such as mobile phones. This research investigated the impact of students' living standards on their intention to use BSGs, as there is limited research.

This study used positivism and added LSM to the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Quantitative data from 224 third-year information system students at an HDI were collected through an online survey. Structured Equation Modelling was used to analyse the data.

Results indicated that performance expectancy and social influence significantly influenced the intention to use BSGs. However, the relationship between effort expectancy and behavioural intention facilitating conditions was not significant. The introduction of LSM as a moderator for the relationships between all variables and behavioural intention also proved to be insignificant.

The result was unexpected, as we posited that a lower LSM would affect students' intention to use BSGs. This was not proven in this study and could be related to students accessing campus resources. However, during times when access to campus is restricted, such as protest action, the result may change for students with lower LSM.

The use of technology in Saudi Arabian higher education is constantly evolving. With the support of the 2030 Saudi vision, many research studies have started covering learning analytics and Big Data in the Saudi Arabian higher education. Examining learning analytics in higher education institutions promise transforming the learning experience to maximize students' learning potential. With the thousands of students' transactions recorded in various learning management systems (LMS) in Saudi educational institutions, the need to explore and research learning analytics in Saudi Arabia has caught the interest of scholars and researchers regionally and internationally. This chapter explores a Saudi private university in Jeddah, Saudi Arabia, and examines its rich learning analytics and discovers the knowledge behind it. More than 300,000 records of LMS analytical data were collected from a consecutive 4-year historic data. Romero, Ventura, and Garcia (2008) educational data mining process was applied to collect and analyze the analytical reports. Statistical and trend analysis were applied to examine and interpret the collected data. The study has also collected lecturers' testimonies to support the collected analytical data. The study revealed a transformative pedagogy that impact course instructional design and students' engagement.

Digital Libraries are complex, and this complexity is a motive to study user success on the behalf of appropriate user success models. These models comprise the factors which play a part between people, technology and organizations. The purpose of this study was to specify and examine an integrated digital library user success (IDLUS) model within the context of digital library settings, Higher Education Commission National Digital Library (HEC-NDL) of Pakistan, by adopting and reusing the existing digital library and Web success models.

Stratified random sampling technique was used to choose the sample from the University of the Punjab, a highly ranked public sector university in Pakistan. Participants were asked to complete an adapted survey questionnaire. A total of 355 completed and usable questionnaires were obtained. Data analyses through confirmatory factor analyses and structural equation modeling produced the results that have supported the proposed IDLUS model. The proposed IDLUS model was tested and supported through model fit statistics in the academic computing environment of the HEC-NDL of Pakistan.

Findings revealed that relationships between the latent variables hypothesized in the model were confirmed.

The study has both theoretical and practical ramifications for academicians and information system designers and developers.

The IDLUS model is recommended first time in the history of librarianship in Pakistan as an overall user success model in the digital library information system computing environment. That made numerous recommendations for future research in the field of information management, particularly for digital library development at national and international levels.

To cope with the existing pandemic situation and to be organizationally responsive, firms need to be strategically flexible, where they need to develop dynamic capabilities (DCs) by continuously reconfiguring their resource base. To address such challenges, firms heavily rely on information and communication technologies (ICT) because of advancement in disruptive technologies. This study aims to explore techniques used by higher education institutional (HEI) leaders to successfully address challenges posed by global disruption, i.e. COVID-19 with the help of advanced ICT software such as Zoom, Google Meet and Microsoft Teams.

A qualitative approach was adopted to explore strategic factors such as strategic flexibility (SF) and DC that disclose shortcomings in the current extant literature. A total of 15 interviews were conducted with heads of departments of HEIs in the United Arab Emirates. Data were analyzed using NVivo software.

The findings suggested three dimensions of SF (resources, operational and collaborative) and four dimensions of DC (strategic planning, innovative, adaptability and technological) for firms to adopt to be strategically flexible, where DC serves as building blocks of SF.

This research provides a framework as an avenue for future researchers and practitioners on how to strategically manage their resources and be strategically flexible in turbulent environment such as pandemics. Theory-based investigations on strategic capabilities and DC from resource-based perspective are still under-researched, emphasizing the need for theoretically based research on strategic responsiveness, especially during the times of environmental complexities such as COVID-19 pandemics. This research enriches strategic management research by exploring the important antecedents of organizational responsiveness, including SF and DC together with the support of human factor, i.e. leadership qualities of HEIs managers. This study, to the best of the authors’ knowledge, is among the first to systematically explore main dimensions of DC and SF based on the resource-based theory of strategic management in the Middle Eastern context.

Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.

This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.

Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.

The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.

Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.