Cover Image

Meta-analysis of content analysis models for analysing online problem solving discussion

Content analysis method has been widely used to assess students' response in online discussion. Selecting appropriate content analysis model is important to ensure the validity of research finding. As one of the ultimate goals in learning is to develop students' cognitive skills, this pape...

Full description

Saved in:
Bibliographic Details
Main Authors: Ariff, N. I., Tasir, Z.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:
LB Theory and practice of education
Online Access:http://eprints.utm.my/id/eprint/73433/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963838608&doi=10.1109%2fIC3e.2015.7403503&partnerID=40&md5=7821f7be507f60aa77c051b73d3c73c4
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.73433
record_format eprints
spelling my.utm.734332017-11-23T01:37:07Z http://eprints.utm.my/id/eprint/73433/ Meta-analysis of content analysis models for analysing online problem solving discussion Ariff, N. I. Tasir, Z. LB Theory and practice of education Content analysis method has been widely used to assess students' response in online discussion. Selecting appropriate content analysis model is important to ensure the validity of research finding. As one of the ultimate goals in learning is to develop students' cognitive skills, this paper highlights the existing content analysis models adopted in previous studies to assess the cognitive aspect of students' learning in online discussion forum. Features of content analysis model and several recommendations for future studies are also discussed in this study. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Ariff, N. I. and Tasir, Z. (2016) Meta-analysis of content analysis models for analysing online problem solving discussion. In: IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015, 24-26 Aug 2015, Melaka, Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963838608&doi=10.1109%2fIC3e.2015.7403503&partnerID=40&md5=7821f7be507f60aa77c051b73d3c73c4
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic LB Theory and practice of education
spellingShingle LB Theory and practice of education
Ariff, N. I.
Tasir, Z.
Meta-analysis of content analysis models for analysing online problem solving discussion
description Content analysis method has been widely used to assess students' response in online discussion. Selecting appropriate content analysis model is important to ensure the validity of research finding. As one of the ultimate goals in learning is to develop students' cognitive skills, this paper highlights the existing content analysis models adopted in previous studies to assess the cognitive aspect of students' learning in online discussion forum. Features of content analysis model and several recommendations for future studies are also discussed in this study.
format Conference or Workshop Item
author Ariff, N. I.
Tasir, Z.
author_facet Ariff, N. I.
Tasir, Z.
author_sort Ariff, N. I.
title Meta-analysis of content analysis models for analysing online problem solving discussion
title_short Meta-analysis of content analysis models for analysing online problem solving discussion
title_full Meta-analysis of content analysis models for analysing online problem solving discussion
title_fullStr Meta-analysis of content analysis models for analysing online problem solving discussion
title_full_unstemmed Meta-analysis of content analysis models for analysing online problem solving discussion
title_sort meta-analysis of content analysis models for analysing online problem solving discussion
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/73433/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963838608&doi=10.1109%2fIC3e.2015.7403503&partnerID=40&md5=7821f7be507f60aa77c051b73d3c73c4
_version_ 1643656660694073344
score 13.211869

Similar Items