1,721,019 research outputs found
A Review of The Metaverse in Higher Education: Opportunities, Challenges and Future Research Agenda
No full textThis study explores the implications of the metaverse from four distinct perspectives: technology, students, lecturers, and pedagogy. From the technology standpoint, we investigate the optimization of user experience design, technical limitations, accessibility, integration with existing educational technologies, the role of advanced natural language processing, machine learning, and data analytics in supporting personalized and adaptive learning experiences. Moreover, we delve into the student perspective, considering the potential impact of the metaverse on accessibility, inclusivity, and student satisfaction. We also assess the potential for personalized learning experiences, skill development, and student autonomy within the metaverse. From the lecturer’s perspective, we discuss the opportunities and challenges associated with transitioning to metaverse-based teaching, emphasizing the importance of professional development and support for educators. We examine the pedagogical benefits of metaverse-based education, highlighting how immersive and interactive learning experiences can promote deeper understanding, engagement, and motivation. Finally, the paper outlines a comprehensive research agenda that addresses the opportunities and challenges of implementing the metaverse in teaching and learning. By examining the metaverse from these diverse perspectives, this study contributes to the growing body of literature on the fusion of innovative technologies in education, providing valuable insights for technologists, educators, researchers, and policymakers
Examining Intentions to Use Mobile Check-In for Airlines Services:A View from East Malaysia Consumers
No full textThe purpose of this study was to determine the factors that influence both attitudes and behavioural intentions toward airline services via mobile check-in in East Malaysia. The intention of consumers to use mobile check-in for airline services was examined, as well as the role of attitude as a mediator between perceived usefulness, perceived ease of use, perceived trust, and perceived enjoyment. The study sampled 256 respondents using the snowball method and analysed them using PLS-SEM 3.0. Except for perceived ease of use, three of the four independent variables were found to have a positive effect on attitudes toward mobile check-in services. The perceived usefulness of mobile check-in had no effect on behavioural intention to use airline services via mobile check-in. Additionally, perceived ease of use was found to be insignificant when it came to attitudes and behavioural intentions toward using mobile check-in for airline services. Meanwhile, it has been demonstrated that attitude serves as an ideal mediator between perceived enjoyment, perceived trust, perceived usefulness, and behavioural intention. The current study has several managerial implications for the airline industry, particularly for self-service operations. Limitations include the inability to generalise the findings of this study to other industries or country settings.</p
Editorial. Mobile learning during the era of COVID-19
No full textA novel coronavirus (COVID-19) has been identified in Wuhan, China, in late 2019 (Zhu et al., 2020). On March 11, 2020, the World Health Organization (WHO) has declared the outbreak of COVID-19 as a global pandemic (Cucinotta & Vanelli, 2020). In responding to this pandemic, a series of precautionary measures have been taken forward on a global basis to combat the spread of the virus. One of such measures was the lockdown of educational institutions. To compromise between the delivery of learning to students and committing to social distancing, the transition to distance learning was the unavoidable option in such crises
BUiD Doctoral Research Conference 2023
No full textThis open access book presents selected contributions on a wide range of scientific and technological areas originating from the BUiD Doctoral Research Conference (BDRC 2023). It discusses the following topics: project management, macroeconomic factors, Fourth Industrial Revolution, agility, multiculturalism, diversity, inclusion, leadership, language, discourse analysis, curriculum, critical thinking, programming, online learning, and natural ventilation. The contributions reflect the multifaceted nature of the research in three academic disciplines, i.e., humanities, formal science, and applied science. This publication shares with its readers genuine research studies and reflections from practitioners on the current practice and understanding in the three academic disciplines. The significant findings of these studies have considerable educational, industrial, and economic implications. This is an open access book
BUiD Doctoral Research Conference 2023
No full textThis open access book presents selected contributions on a wide range of scientific and technological areas originating from the BUiD Doctoral Research Conference (BDRC 2023). It discusses the following topics: project management, macroeconomic factors, Fourth Industrial Revolution, agility, multiculturalism, diversity, inclusion, leadership, language, discourse analysis, curriculum, critical thinking, programming, online learning, and natural ventilation. The contributions reflect the multifaceted nature of the research in three academic disciplines, i.e., humanities, formal science, and applied science. This publication shares with its readers genuine research studies and reflections from practitioners on the current practice and understanding in the three academic disciplines. The significant findings of these studies have considerable educational, industrial, and economic implications. This is an open access book
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
A systematic review of Arabic text classification: areas, applications, and future directions
No full textAbstract
Text classification pertains to the automated procedure of assigning predefined labels or categories to textual data. A
comprehensive review of the existing literature on Arabic text classification (ATC) reveals that most research concentrates
on methodologies and approaches, with no thorough evaluation of ATC. Consequently, this systematic review aims to offer
a comprehensive understanding of the state-of-the-art in ATC, illuminate the present challenges, and discuss prominent
trends in large-scale research. From a collection of 2875 studies, 60 were determined to satisfy the eligibility criteria and
were rigorously analyzed. The selected studies were divided into three categories: topic areas, tasks/applications, and ATC
phases. The topic areas were classified into six primary sectors: healthcare, legal, security and cybersecurity, history,
culture and religion, social media, and agriculture. The ATC tasks/applications were classified into nine groups: gender
identification, author identification, disease detection, threat and spam detection, dialect identification, hierarchical cate gorization, news article classification, web page clustering, and question classification. The ATC phases were organized
into five categories: corpus creation, preprocessing (stemming and tokenization), feature selection, feature extraction, and
classifiers/approaches. The review emphasizes the proposed solutions in each ATC study and offers insights for future
research. This review also underscores the potential applications of ATC in addressing current challenges across various
industries and highlights the significance of developing a benchmark dataset for ATC to facilitate model comparison. The
review concludes by proposing areas where further research is required, such as addressing the unbalanced dataset issue,
enhancing the preprocessing phase, and exploring human factors’ role in utilizing ATC systems
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