Smart Collections: Can Artificial Intelligence Tools and Techniques Assist with Discovering, Evaluating and Tagging Digital Learning Resources?

Autor/inn/en	Leibbrandt, Richard; Yang, Dongqiang; Pfitzner, Darius; Powers, David; Mitchell, Pru; Hayman, Sarah; Eddy, Helen
Institution	International Association of School Librarianship (IASL); School Library Association of Queensland Inc. (SLAQ)
Titel	Smart Collections: Can Artificial Intelligence Tools and Techniques Assist with Discovering, Evaluating and Tagging Digital Learning Resources?
Quelle	(2010), (12 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Intelligence; Efficiency; Artificial Intelligence; Classification; Foreign Countries; Researchers; Educational Resources; Higher Education; Partnerships in Education; Metadata; Technology Uses in Education; Experiments; Library Materials; Australia + Suchen Sie Ihr Suchwort? Intelligenz; Klugheit; Effectiveness; Effektivität; Wirkungsgrad; Künstliche Intelligenz; Classification system; Klassifikation; Klassifikationssystem; Ausland; Researcher; Forscher; Bildungsmittel; Hochschulbildung; Hochschulsystem; Hochschulwesen; Hochschulpartnerschaft; Metadaten; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Erprobung; Australien
Abstract	This paper reports on a joint proof of concept project undertaken by researchers from the Flinders University Artificial Intelligence Laboratory in partnership with information managers from the Education Network Australia (edna) team at Education Services Australia to address the question of whether artificial intelligence techniques could be employed to help with creation and consistency of learning resource metadata and improve the efficiency of digital collection workflows? The results show some success with automated subject categorisation on a small sample, and the researchers conclude that automated classification based on artificial intelligence is useful as a means of supplementing and assisting human classification, but is not at this stage a replacement for human classification of educational resources. (Contains 2 tables.) (As Provided).
Anmerkungen	International Association of School Librarianship. P.O. Box 83, Zillmere, Queensland 4034, Australia. Tel: +61-7-3216-5785; Fax: +61-7-3633-0570; e-mail: iasl@iasl-online.org; Web site: http://www.iasl-online.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10