WorldCIST'13 -The 2013 World Conference on Information Systems and Technologies

Full Program »

Text Mining Indicators of Affect and Interaction: A Case Study of Students’ Postings in a Blended-Learning Course of English for Specific Purposes

Helvia Bastos
Instituto Federal Fluminense
Brazil

Magda Bercht
Universidade Federal do Rio Grande do Sul
Brazil

Leandro Wives
Universidade Federal do Rio Grande do Sul
Brazil

Júlia Kambara-Silva
Universidade Federal do Rio Grande do Sul
Brazil

Yasmmin Martins
Instituto Federal Fluminense
Brazil

Abstract:
This is a case study of text cues of affect and interaction in students’ postings in a virtual learning environment designed to support and expand face-to-face classes of English for Specific Purposes at university level. These categories of text analysis are indicators of the learner’s social presence in online activities. Methodology in this study included (i) mining text indicators of affect and interaction; (ii) applying a questionnaire to investigate students’ perception of the environment; (iii) verifying how these results reflect the students’ level of satisfaction with the blended-learning approach.

 

Powered by OpenConf®
Copyright ©2002-2012 Zakon Group LLC