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Hertenstein, L.: Current state of special collections and rare books cataloging education at LIS programs (2023)
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- Abstract
- There is a need for highly trained special collections and rare books catalogers as found in recent job postings. Where will these catalogers learn the unique skills needed for them to succeed in their careers? This paper is an environmental survey of courses offered by the 68 Library and Information Science programs accredited by the American Library Association. It evaluates what course offerings in cataloging and special collections are available. These findings suggest LIS programs currently do not offer sufficient numbers of courses to train special collections and rare books catalogers. Additional skills, from extra languages to knowledge of DCRM(B), need to be acquired in other ways, before, during, and after traditional LIS degree work.
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Krüger, N.; Pianos, T.: Lernmaterialien für junge Forschende in den Wirtschaftswissenschaften als Open Educational Resources (OER) (2021)
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- Date
- 22. 5.2021 12:43:05
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Wu, D.; Xu, H.; Sun, Y.; Lv, S.: What should we teach? : A human-centered data science graduate curriculum model design for iField schools (2023)
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- Abstract
- The information schools, also referred to as iField schools, are leaders in data science education. This study aims to develop a data science graduate curriculum model from an information science perspective to support iField schools in developing data science graduate education. In June 2020, information about 96 data science graduate programs from iField schools worldwide was collected and analyzed using a mixed research method based on inductive content analysis. A wide range of data science competencies and skills development and 12 knowledge topics covered by the curriculum were obtained. The humanistic model is further taken as the theoretical and methodological basis for course model construction, and 12 course knowledge topics are reconstructed into 4 course modules, including (a) data-driven methods and techniques; (b) domain knowledge; (c) legal, moral, and ethical aspects of data; and (d) shaping and developing personal traits, and human-centered data science graduate curriculum model is formed. At the end of the study, the wide application prospect of this model is discussed.
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Hjoerland, B.: Education in knowledge organization (KO) (2023)
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Ekstrand, M.D.; Wright, K.L.; Pera, M.S.: Enhancing classroom instruction with online news (2020)
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- Date
- 20. 1.2015 18:30:22
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Barité, M.; Parentelli, V.; Rodríguez Casaballe, N.; Suárez, M.V.: Interdisciplinarity and postgraduate teaching of knowledge organization (KO) : elements for a necessary dialogue (2023)
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- Abstract
- Interdisciplinarity implies the previous existence of disciplinary fields and not their dissolution. As a general objective, we propose to establish an initial approach to the emphasis given to interdisciplinarity in the teaching of KO, through the teaching staff responsible for postgraduate courses focused on -or related to the KO, in Ibero-American universities. For conducting the research, the framework and distribution of a survey addressed to teachers is proposed, based on four lines of action: 1. The way teachers manage the concept of interdisciplinarity. 2. The place that teachers give to interdisciplinarity in KO. 3. Assessment of interdisciplinary content that teachers incorporate into their postgraduate courses. 4. Set of teaching strategies and resources used by teachers to include interdisciplinarity in the teaching of KO. The study analyzed 22 responses. Preliminary results show that KO teachers recognize the influence of other disciplines in concepts, theories, methods, and applications, but no consensus has been reached regarding which disciplines and authors are the ones who build interdisciplinary bridges. Among other conclusions, the study strongly suggests that environmental and social tensions are reflected in subject representation, especially in the construction of friendly knowledge organization systems with interdisciplinary visions, and in the expressions through which information is sought.
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Das, S.; Bagchi, M.; Hussey, P.: How to teach domain ontology-based knowledge graph construction? : an Irish experiment (2023)
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- Date
- 20.11.2023 17:19:22
