Man and Machines against Crime: An Approach Based on Visual Learning

Autor/inn/en	de Sousa Netto, Manoel Camilo; Pinto, Adilson Luiz; Semeler, Alexandre Ribas
Titel	Man and Machines against Crime: An Approach Based on Visual Learning
Quelle	In: Education for Information, 35 (2019) 3, S.251-262 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0167-8329
DOI	10.3233/EFI-190280
Schlagwörter	Foreign Countries; Visual Learning; Crime; Law Enforcement; Police; Police Education; Skill Development; Natural Language Processing; Information Retrieval; Sentences; Graphs; Research Skills; Investigations; Brazil + Suchen Sie Ihr Suchwort? Ausland; Visual education; Visuelles Lernen; Crimes; Delict; Delicts; Delikt; Gesetzesvollzug; Polizeihochschule; Kompetenzentwicklung; Qualifikationsentwicklung; Natürliche Sprache; Sentence analysis; Satzanalyse; Grafische Darstellung; Forschungsleistung; Untersuchung; Brasilien
Abstract	Law enforcement agencies in Brazil communicate with each other using documents formalized in a language predominantly written in pure text. However, postmodern criminal organizations play complex roles, making it difficult to describe their actions using only text. Visual memory is relevant to learning and thus should be applied. Learning about crime requires time, effort, and dedication, but visual resources can minimize these obstacles. Because the human period of concentration is short, long texts make it difficult to hold people's attention. The tactic of distributed practice is recommended as a strategy for learning, but with the use of features such as diagrams. In addition, learning about criminal activities using multimedia formats is effective. The teaching of content production skills for visual learning is a necessity at police academies; however, the acquisition of these abilities is slow. The analysis of legacy collections of massive texts by computer, through natural language processing (NLP) is suggested as an alternative. The process of extracting entities and relationships is illustrated, and the main steps involved are explained. The skills for generating visual content and NLP should be strengthened, since they complement each other in the fight against criminal organizations. (As Provided).
Anmerkungen	IOS Press. Nieuwe Hemweg 6B, Amsterdam, 1013 BG, The Netherlands. Tel: +31-20-688-3355; Fax: +31-20-687-0039; e-mail: info@iospress.nl; Web site: http://www.iospress.nl
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01