1,720,957 research outputs found
Artificial intelligence (AI) and how it affects the Learning and development in Libraries
Full text linkInternational Symposium on Robotics and AI in Libraries and the education sector, 10 November 2021, University of Pretoria , South AfricaArtificial Intelligence (AI) places the learning and development of Library staff in the spotlight. With the growing prevalence of Robots and AI-powered systems, there is a growing need for the alignment of Library employees to understand the drifting of traditional learning and development aspects used by librarians to a more advanced and aligned to AI and robotics-driven learning and development. AI and robotics-driven learning and development become a major aspect of the library workforce to be able to assist the anticipated AI and robotics-driven customer. This can only be possible when learning and development are able to motivate during the sourcing, skilling, and reskilling of the workforce and present a convincing picture about the direction of the future and how it will look like to be able to approach the AI and robotics-driven Library space
The 3-approach-7-principles strategy to improve interaction and engagement in existing blended modules
No full textPaper presented at the (Conference):'Title of Conference', (place), (date).Presented at Univerity of Johannesburg UP2U Conference 2015Lecturers at institutions often struggle with the amount of time and work that they are dedicating to improve their online courses. Those who make time to update their online courses often concentrate on features that only store information for the students to retrieve later and do not necessarily consider the broad spectrum of the features that can be used to improve the interaction and engagement between the lecturer and the student. The presentation seeks to emphasise the use of methods that can improve the design of an existing blended course.
Chaptershttps://www.youtube.com/watch?v=0E39zRJleT0&ab_channel=Up2
Taking staff into the 4th IR. Rethinking the roles and skills of librarians
Full text linkPaper presented at the University of Johannesburg '4IR Conference', Johannesburg, South Africa, 2019.The truth already exist that suggest that Artificial Intelligence (AI) and Internet of Things (IOT) is changing the world, and this will also affect the skills in any field including the Library. Further predictions suggest that intelligent machines will be able to do every task better and more cheaply than humans. Several questions are being raised specifically for the Library services as to when will the AI or IOT start impacting human performance, when will the machines exceed human performance and when will the machines start performing Library jobs.
The questions asked can be outlined using a framework focusing on the management of Technology, Innovation, People, and Systems (TIPS), The framework unpacks how Technology is directed and managed through Innovative means, Innovation itself needs to be managed by People who are always drivers of the Systems which also requires intensive management approaches. Using TIPS framework in the Library staff will always strive to manage all the AI and IOT processes. TIPS framework will be directed towards achieving specific Library tasks and in the process Innovation will require the Systematic approach which includes agility and alignment and continuous engagement.
Although the framework indicates that the process is not linear, which means the process of adaptation is followed by adjusting to changes, implementation and innovating again. This will ultimately bring further innovative mechanisms to try and counteract any further changes that the IOT and AI may bring to the Library staff for further development to take place
Artificial Intelligence and its Impact on Library Staff Learning and Development
Full text linkKeynote Meeting of Science and Business. ; Intelligent Management: the Future of LibrariesConference Name: International Conference LIBWAY-2024
Date 18-22 March 2024 (Hybrid) CategoryArtificial Intelligence and its Impact on Library Staff Learning and Development.
Libraries worldwide are undergoing a significant transformation as they embrace digitization. Artificial Intelligence (AI) has emerged as a crucial factor in shaping library operations. This presentation examines the impact of AI on the learning and professional development of library staff, with a focus on "The Impact of Artificial Intelligence on Library Staff Learning and Development." This study investigated the various ways in which AI influences the growth and skill enhancement of library professionals.
The emergence of artificial intelligence (AI) in libraries calls for the examination of its diverse implications for library personnel. This presentation delves into the nexus between AI and the domain of learning and development, emphasizing the pressing need for libraries to embrace technological advancements. As libraries transition to digital environments, the responsibilities of library staff shift, necessitating a sophisticated understanding of how AI influences professional growth.
This presentation delves into the ways in which AI technologies, including automated cataloguing and metadata creation, as well as AI-driven reference services, are transforming the roles and duties of library staff. Furthermore, the necessity of ongoing training programs will be investigated to enable library professionals to competently navigate and effectively utilize AI technologies. This study provides an in-depth analysis of the ethical factors that must be considered when implementing AI, such as data privacy, fairness, and transparency. This study emphasizes the significance of fostering an ethical AI culture within libraries to ensure the responsible and equitable use of AI technologies.
The presentation highlighted several key themes, including the need for technological literacy, automation of routine tasks, and collaborative nature of AI implementation in library services. Technological literacy is a crucial component in the incorporation of AI into library services, and it is essential to provide library staff with the skills necessary to harness AI's potential of AI. This can be achieved through structured training programs that focus on hands-on experiences, collaborative initiatives, and ongoing professional development. The practical aspects of these programs are of paramount importance for ensuring that library staff become proficient AI users.
AI's influence on cataloguing procedures is far-reaching and transformative. By relieving library staff of their tedious cataloguing duties, AI enables them to focus on higher-level strategic pursuits. This situation facilitates a deeper examination of the reciprocal relationship between AI adoption and professional development opportunities stemming from the streamlined cataloguing processes.
User experience is significantly enhanced by AI-driven technologies, which constitutes the central theme of this study. AI-powered recommendation systems play a vital role in customizing user interactions. This presentation also delves into the ways in which library staff can hone their abilities to interpret user data, refine AI algorithms, and ensure that AI complements rather than detracts from human elements in library services.
The use of artificial intelligence (AI) in the automation of repetitive and routine tasks has emerged as a transformative element in various industries, including libraries. By participating in these mundane activities, AI allows library staff to focus on intellectually challenging tasks, which in turn necessitates continuous learning and development. This presentation examines the consequent reallocation of responsibilities, highlighting the significance of these changes and the opportunities they create for library staff to contribute actively to the strategic objectives of their institutions.
This presentation highlights the significance of fostering close collaboration between library professionals and AI developers, emphasizing the importance of ongoing learning, understanding technical complexities, and actively contributing to the seamless integration of AI technologies. The dynamic and constantly evolving nature of AI necessitates continuous monitoring and evaluation by library staff to assess its performance, adaptability, and impact of AI tools on library services. This iterative evaluation process is crucial for maintaining optimal functionality and ensuring that the AI aligns with the changing needs of library users.
This presentation highlights the transformative capacity of artificial intelligence (AI) in the context of library staff learning and development. Although AI has the potential to revolutionize information services, its integration is challenging. Resistance to change, fear of job displacement, and concerns about algorithmic biases are some of the hurdles library staff may encounter. To overcome these challenges, a proactive and collaborative approach to learning, adaptability, and collaboration is necessary. Moreover, this study emphasizes the need for future research to explore how libraries can leverage AI to provide equitable and inclusive information.
This presentation emphasizes the need for library staff to cultivate dynamic skill sets, engage in continuous learning, and actively contribute to the ethical and effective integration of AI into library services. This presentation contributes to a comprehensive understanding of the evolving roles of library professionals in the era of AI, paving the way for future research and informed practice.https://repository.up.ac.za/handle/2263/8829
UP Library Presentations and Training/ Course guideline for Quality Assurance
Full text linkThe Department of Library Services is a strategic
partner of the university to enhance Teaching and
Learning using the library resources and the
information available to achieve the University
strategic Teaching and Learning interventions. The
provision of quality presentations will therefore be
not an option but a need to assist the library to
achieve this goal
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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