Search results

This study aims to explore the collaborative potential of Microsoft Copilot and Anthropic Claude AI as an assistive technology in education and library services. The research delves into technical architectures and various use cases for both tools, proposing integration strategies within educational and library environments. The paper also addresses challenges such as algorithmic bias, hallucination and data rights.

The study used a literature review approach combined with the proposal of integration strategies across education and library settings.

The collaborative framework between Copilot and Claude AI offers a comprehensive solution for transforming education and library services. The study identifies the seamless combination of real-time internet access, information retrieval and advanced comprehension features as key findings. In addition, challenges such as algorithmic bias and data rights are addressed, emphasizing the need for responsible AI governance, transparency and continuous improvement.

Contribute to the field by exploring the unique collaborative framework of Copilot and Claude AI in a specific context, emphasizing responsible AI governance and addressing existing gaps.

The main objective of this study is to determine the patterns of suicidal ideation among undergraduate students of Obafemi Awolowo University, Ile-Ife, Osun State.

The study examined the pattern of suicidal ideation among undergraduate students of Obafemi Awolowo University, Ile-Ife, Nigeria. The study adopted a survey research design. The study population comprised all the 28,673 undergraduate students of the university out of which 800 students were selected by stratified random sampling for the study. A questionnaire was used in gathering data for this study. Data collected were analysed using descriptive statistics, cluster and factor analyses. The study concluded that the patterns of suicide ideation among undergraduate students of Obafemi Awolowo University are passive. It is recommended that Obafemi Awolowo University students adopt the physical and online counselling services provided by the institution to aid their mental and psychological well-being.

Findings revealed that the prevalence of suicidal ideation among the students was low (89.9%). Result also showed that pattern of suicidal ideation was passive (85.2%). In addition, result showed that social isolation (31.3%), hopelessness (29.4%), disappointment with school result (26.5%) and unmet expectation (12.9%) were possible factors of suicidal ideation among undergraduate students of Obafemi Awolowo University, Ile-Ife, Nigeria.

This study only established the patterns of suicidal ideation among students of Obafemi Awolowo University Ile-Ife, without any reference to treatment of students with suicidal ideation. Since the patterns of suicidal ideation had been established, it is suggested that further research be conducted on the treatment and prevention of suicide among the students.

The research was conducted by the researchers, and data were adequately collected and prepared following research ethics and guidelines. Results were presented as revealed by the analysis of the data.

The study aims to investigate the potential of artificial intelligence chatbots in academic libraries along with the dangers associated with the technology.

Literature were sourced from Google scholar and Scopus database-indexed journals to assess the potentials and drawbacks of using ChatGPT (generative pretrained transformer).

The study found that ChatGPT can aid with technical and reader services such as answering basic reference inquiries, navigating the library website and assisting with research, cataloguing, classification and collection development. However, due to the risk of inaccurate query responses, misuse, limited comprehension, input limitation and technological reliance, it should be a complementary technology rather than a replacement for human librarians.

To the best of the author’ knowledge, this is one of the first articles reviewing the potential of ChatGPT in academic libraries.

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.

This research aims to explore the integration of Bing Chat, an artificial intelligence (AI)-powered conversational assistant, into academic libraries and its potential impact on reference services.

This study analyzes existing literature to investigate the integration of Bing Chat in academic libraries. This research focuses on its features, capabilities and implications for enhancing user experiences and addressing information needs.

The findings highlight that Bing Chat’s conversational interface facilitates more dynamic and context-aware reference interactions, fostering user empowerment and personalized learning pathways. The integration of Bing Chat with existing library resources enhances resource discovery, navigational assistance and engagement with visual content. However, challenges related to accuracy, privacy and algorithmic bias require careful consideration.

This research contributes to the literature by providing an in-depth exploration of Bing Chat’s integration into academic libraries, emphasizing its transformative potential for reference services. This study addresses ethical and social dimensions associated with AI-driven tools in library environments, offering insights into ensuring fairness, privacy and user trust.

This paper aims to explore the transformative potential of Google Bard, an artificial intelligence (AI)-powered chatbot, in reshaping contemporary library reference services and advancing information literacy.

In this perspective piece, a qualitative research approach is used to explore the capabilities of Google Bard within library contexts. Real-world case studies and insights are used to critically examine Bard’s evolving role as a virtual assistant, its impact on enhancing information literacy and the multifaceted challenges it introduces, including biases and privacy concerns.

The research reveals that Google Bard, leveraging natural language processing and machine learning, engages users in dynamic conversational interactions. It provides contextually relevant responses and personalized guidance, leading to an enriched library experience. The symbiotic relationship between AI-driven technology and traditional librarian expertise is highlighted, contributing to interactive knowledge exploration and collaborative learning.

This study contributes to the literature by exploring the multifaceted impact of Google Bard on library services and information literacy. It uncovers novel insights into the integration of AI-powered chatbots in traditional library settings.

This study explores the implementation of personalised information access, driven by machine learning, in Nigerian public libraries. The purpose of this paper is to address existing challenges, enhance the user experience and bridge the digital divide by leveraging advanced technologies.

This study assesses the current state of Nigerian public libraries, emphasising challenges such as underfunding and lack of technology adoption. It proposes the integration of machine learning to provide personalised recommendations, predictive analytics for collection development and improved information retrieval processes.

The findings underscore the transformative potential of machine learning in Nigerian public libraries, offering tailored services, optimising resource allocation and fostering inclusivity. Challenges, including financial constraints and ethical considerations, are acknowledged.

This study contributes to the literature by outlining strategies for responsible implementation and emphasising transparency, user consent and diversity. The research highlights future directions, anticipating advancements in recommendation systems and collaborative efforts for impactful solutions.

This paper aims to explore the potential impact of artificial intelligence (AI) image generators, specifically MidJourney and DALL-E, on education and library services. The study aims to understand how these tools can revolutionize learning experiences and library resources while also addressing the ethical considerations surrounding their use.

This study investigates the technical foundations of MidJourney and DALL-E, highlighting their neural network architectures. It also traces the iterative refinement of these models and examines cost, accessibility and the unique prompt-guided capabilities of DALL-E 3.

MidJourney and DALL-E show remarkable progress in generating high-quality, photorealistic images from text prompts. The iterative refinement of these models demonstrates a trend toward improved creative output and user accessibility. DALL-E 3, in particular, allows users to guide image generation through prompt modifications, offering unprecedented control over the creative process. The study identifies potential applications in personalized learning, visual communication and research support in libraries, while recognizing challenges such as cost and accessibility.

This research innovatively explores AI's impact on education and libraries, detailing applications in personalized learning and research while addressing legal and ethical considerations.

Small and medium-sized contractors are critical to micro and macroeconomic performance. These contractors in South Africa have long been confronted with the problem of business failure because of a plethora of factors, including poor productivity. The purpose of this study is to investigate salient issues undermining the productivity of small and medium-sized contractors in South Africa. This study proposes alternative possibilities to engender productivity improvement.

Qualitative data were collected using semi-structured interviews with 15 contractors in Gauteng Province, South Africa. The research data were analysed using content and causal layered analyses.

Challenges to contractors’ productivity were associated with inadequately skilled workers, management competence and political factors. Skills development, construction business and political factors were dominant stakeholders’ perceptions. Metaphors for construction labour productivity are presented and reconstructed as alternative directions for productivity improvement.

Contractors lose a substantial amount of South African Rand to poor productivity. Alternative directions provided in this study can be leveraged to increase profitability in construction organizations, enhance the social well-being of South Africans and ultimately improve the contribution of contractors to the South African economy.

The causal layered analysis (CLA) applied in this study is novel to construction labour productivity research. The four connected layers of CLA, which make a greater depth of inquiry possible, were explored to investigate labour productivity in construction organizations.