Search results

This study aims to investigate the potential impact and passenger perceptions of integrating multimedia books within airline services, aiming to elucidate the evolving landscape of in-flight entertainment and reading experiences.

A quantitative research methodology was used, using a structured questionnaire distributed to presenters at the International Federation of Library Associations.

Analysis revealed varying passenger interest in multimedia books, with approximately 57.7% displaying engagement, while 40.4% demonstrated limited interest or none. However, a notable majority (60.6%) preferred multimedia books over traditional print books during flights. Furthermore, 90.4% perceived a positive impact of multimedia books on flight reading experiences, leading to increased satisfaction (81.7%) and a high likelihood of recommending airlines offering such content (91.3%).

The study's limitations include a specific focus on International Federation of Library Associations and Institutions (IFLA) World Library and Information Congress (WLIC) presenters, potentially limiting broader generalisations. Further research might explore the preferences of a wider demographic range and incorporate qualitative aspects to deepen understanding. Airlines could leverage multimedia books to enhance passenger satisfaction, attract diverse audiences and foster cultural inclusivity within in-flight entertainment.

This study contributes insights into the evolving landscape of in-flight entertainment, emphasising the significant potential and positive impact of integrating multimedia books within airline services. It underscores the importance of catering to diverse passenger preferences and enhancing overall satisfaction during air travel.

The purpose of this study is to investigate how libraries use Twitter as a social media platform and examine the tweets they post, including multimedia content such as images and video clips. The study also aims to analyse the relationship between post types and user engagement and evaluate the effects of post features, such as multimedia content, on user engagement.

The methodology of the study involved three phases. In Phase 1, a review of related literature was conducted to develop a holistic approach for the study. In Phase 2, official Twitter handles of selected libraries were identified and verified for authenticity using various methods, including cross-checking with library websites. During Phase 3, data was collected from the Twitter handles. The data was then tabulated and interpreted to achieve the set objectives of the study.

The paper examined the tweets posted by select libraries on Twitter and their impact on user engagement. The study found that most tweets were related to library resources/collection and announcements, followed by events hosted by libraries. Emotionally inspiring posts and daily facts were also commonly posted. The findings also showed that including images in tweets resulted in higher levels of user engagement than video clips did. The study suggests that incorporating images fosters engagement and boosts retweets, while watching a video takes more effort and time.

The practical implications of the study can provide insights into the tweets that generate user engagement, which can help libraries tailor their social media strategies to attract and retain more followers. The paper can help libraries measure the success of their social media activities by evaluating user engagement metrics.

The originality/ value of the study lies in its examination of how libraries use Twitter as a social media platform, including the tweets they post and the impact of multimedia content on user engagement. While previous studies have examined the use of social media by libraries, this study focuses specifically on Twitter and provides a detailed analysis of the tweets that generate user engagement.

This case study explores how universal design for learning (UDL)-informed online instruction modules developed during COVID-19 can better support student information literacy outcomes. This study will also examine how hybrid learning lends itself to UDL and may resolve some of the issues within library instruction.

This case study explores how a team of librarians at Utah State University developed three UDL-informed modules to support library instruction and hybrid learning during the height of the COVID-19 pandemic. A survey was sent to composition instructors to understand how they utilized the three new UDL-informed modules and if the modules helped their students reach information literacy outcomes.

Findings from this case study describe how academic libraries should adopt the UDL framework to support best practices for online learning as well as inclusive pedagogies. The findings indicate that the UDL-informed modules developed for hybrid instruction help students meet information literacy outcomes and goals.

The authors present a case study examining the current climate of information literacy instruction and UDL while providing actionable instructional practices that can be of use to librarians implementing hybrid instruction.

This paper aims to investigate how augmented reality (AR) technology is adopted in the library to transform it into an immersive and interactive platform and highlights the future possibilities of the application of AR in libraries.

The study examines the current applications of AR in the library by consulting related literature and analyzing different library websites covering diverse geographical areas.

The paper with examples summarizes the current library practices of using AR technology and focuses on the AR-supported major library initiatives – right from document tracking, inventory management, wayfinding, supporting innovation and research, developing information literacy skills, etc.

The paper explores the possibility of improving user experience in the library by introducing AR applications and engaging users in an interactive and captivating environment.

As traditional physical spaces grapple with evolving reading habits and information consumption patterns, the notion of libraries within the metaverse poses intriguing questions about accessibility, knowledge dissemination and the evolving role of librarians. The purpose of this paper is to explore the role of metaverse in virtual libraries.

This paper analyzes various literature relating to libraries and the metaverse in the virtual worlds through a review of the literature.

In the ever-evolving landscape of information and technology, the emergence of libraries in virtual worlds presents a transformative paradigm that brings forth both tremendous advantages and intricate challenges. These advantages are underscored by enhanced accessibility for a global audience, interactive engagements that cater to diverse learning styles and the unprecedented scalability that digital environments provide. Virtual libraries hold the potential to reshape the way people access, share and engage with knowledge, while also fostering a sense of community that transcends geographical boundaries.

To the best of the authors’ knowledge, this paper is the original idea that highlights the importance of metaverse in virtual libraries.

This study aims to identify the readiness of institutional repositories in Indonesia to implement digital humanities (DH) data curation. Data curation is a method of managing research data that maintains the data’s accuracy and makes it available for reuse. It requires controlled data management.

The study uses a qualitative approach. Data collection was carried out through a focus group discussion in September–October 2022, interviews and document analysis. The informants came from four institutions in Indonesia.

The findings reveal that the national research repository has implemented data curation, albeit not optimally. Within the case study, one of the university repositories diligently curates its humanities data and has established networks extending to various ASEAN countries. Both the national archive repository and the other university repository have implemented rudimentary data curation practices but have not prioritized them. In conclusion, the readiness of the national research repository and the university repository stand at the high-capacity stage, while the national archive repository and the other university repository are at the established and early stages of data curation, respectively.

This study examined only four repositories due to time constraints. Nonetheless, the four institutions were able to provide a comprehensive picture of their readiness for DH data curation management.

This study provides insight into strategies for developing DH data curation activities in institutional repositories. It also highlights the need for professional development for curators so they can devise and implement stronger ownership policies and data privacy to support a data-driven research agenda.

This study describes the preparations that must be considered by institutional repositories in the development of DH data curation activities.

The scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands.

This article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications.

The authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain.

Cultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public.

The method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.

An increasing number of images are generated daily, and images are gradually becoming a search target. Content-based image retrieval (CBIR) is helpful for users to express their requirements using an image query. Nevertheless, determining whether the retrieval system can provide convenient operation and relevant retrieval results is challenging. A CBIR system based on deep learning features was proposed in this study to effectively search and navigate images in digital articles.

Convolutional neural networks (CNNs) were used as the feature extractors in the author's experiments. Using pretrained parameters, the training time and retrieval time were reduced. Different CNN features were extracted from the constructed image databases consisting of images taken from the National Palace Museum Journals Archive and were compared in the CBIR system.

DenseNet201 achieved the best performance, with a top-10 mAP of 89% and a query time of 0.14 s.

The CBIR homepage displayed image categories showing the content of the database and provided the default query images. After retrieval, the result showed the metadata of the retrieved images and links back to the original pages.

With the interface and retrieval demonstration, a novel image-based reading mode can be established via the CBIR and links to the original images and contextual descriptions.

This study aims to examine the effects of the proposed mobile Web library application (MWLA) on the search experience and its impact on learners’ engagement, interaction and overall learning outcomes within an institutional repository. Furthermore, the study investigates learners’ acceptance of the MWLA system.

The study suggests implementing an MWLA with Algolia’s search service to improve the institutional repository and enhance learners’ access to reliable information. It involved an experiment with 85 undergraduate students divided into experimental and control groups (CGs), where the experimental group (EG) used MWLA for search tasks, and the CG used the traditional library website. The study evaluated the acceptance and learning behaviours of the EG towards MWLA, considering factors such as usefulness, ease of use, mobility, accessibility, satisfaction and intention to use.

The findings of this study provide empirical evidence that the EG, which used the MWLA, demonstrated superior performance compared to the CG across all institutional repository collections, resulting in improved learning outcomes. Participants were highly satisfied with MWLA and found it user-friendly and beneficial for improving search skills. MWLA’s portability and accessibility motivated active learner engagement.

The powerful search bar of MWLA significantly enhanced learners’ search efficiency, resulting in more effective retrieval of relevant materials. Moreover, learners who actively engaged with previews and full-text content, using appropriate keywords and syntax, achieved higher scores and were more likely to access previews, abstracts and full texts of documents using the sorting-by-year or by-advisor feature.

This study investigates the transformative role of Sora in education and libraries. This study aims to explore Sora’s capabilities and potential implications for enhancing learning experiences and enriching library resources.

Using an exploratory approach, this paper analyzes Sora’s functionalities, focusing on its ability to convert textual descriptions into dynamic video content swiftly and accurately. It examines the ways in which Sora can augment learning through interactivity, personalization and accessibility, as well as its capacity to digitize cultural heritage and promote literacy in library settings.

Sora emerges as a potential powerful tool for education and libraries, offering opportunities for diverse learning modalities, creativity and critical thinking. Its capacity to facilitate immersive storytelling and educational gamification holds promise for engaging users and fostering community involvement. However, ethical considerations such as bias mitigation and equitable access must be addressed to maximize Sora’s benefits.

This study contributes to the understanding of artificial intelligence’s potential in education and libraries, particularly through the lens of Sora.