Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Qualitative research methods to analyze Learning 2.0 processes: Categorization, recurrence, saturation and multimedia triangulation

Constantino, Gustavo DanielIcon ; Raffaghelli, Juliana Elisa; Alvarez, Guadalupe; Moran, LourdesIcon
Fecha de publicación: 06/2012
Editorial: Società italiana di e-learning
Revista: Journal of e-Learning and Knowledge Society
ISSN: 1826-6223
e-ISSN: 1971-8829
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias de la Educación

Resumen

The developments of the Web have generated new modalities and contexts of learning, shaping what is nowadays called “Learning 2.0”. Within this new phenomenon it arises a trend of moving out from the linearity of written word toward new multimedia complexities, that lead to a parallel semiotic complexity lying behind them. Understanding the above mentioned complexities implies to preserve and make explicit the collaboratory construction of knowledge through the identification of events, instruments, signs. This identification is in fact an analytic process, where the researcher divides the raw data into units of meaning making that must be read both in the specific contribution made by every mode (text, images, audio) as well as a whole. This is possible through an inverse process of analysis and interpretation that depends on specific instruments regarding the qualitative methodological approach. These last must be, in fact, appropriated to the new environments and phenomena. In this work the authors introduce several examples of educational research practice where categorization and triangulation were implemented on data collected from interactive processes in online learning environments, to further obtain recurrences and saturation of data. In second place, going a step further on the discussion of appropriated methods to Learning 2.0 analysis, the so called “multimedia triangulation” is presented, on the basis of analysis of data collected inside the same case study.
Palabras clave: Qualitative research , Methods , E-learning 2.0
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 466.7Kb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/196144
URL: https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/614
DOI: https://doi.org/10.20368/1971-8829/614
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Citación
Constantino, Gustavo Daniel; Raffaghelli, Juliana Elisa; Alvarez, Guadalupe; Moran, Lourdes; Qualitative research methods to analyze Learning 2.0 processes: Categorization, recurrence, saturation and multimedia triangulation; Società italiana di e-learning; Journal of e-Learning and Knowledge Society; 8; 2; 6-2012; 123-133
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES