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https://doi.org/10.1109/icmcs....
Article . 2012 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2020
Data sources: DBLP
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Computer supported collaborative learning in problem-based learning of statistics

Authors: Rohani Ahmad Tarmizi; Wan Zah Wan Ali; Aida Suraya Mohd Yunus; Sahar Bayat;

Computer supported collaborative learning in problem-based learning of statistics

Abstract

This study investigated computer supported collaborative learning in the Web-based learning environment designed using the constructivist Problem-Based Learning (PBL) approach. One group of students was exposed to the constructivist PBL Web-based learning whilst another group was exposed to traditional PBL learning approach. A lecture-based teaching was given to another group. Thus, a quasi-experimental non-equivalent post-tests research design was adopted. The analysis of the data revealed that the web-based PBL learning and the traditional PBL yielded positive educational output and highlighted the importance of the scaffolding by the use of guided questions in the learning processes that supported both better understanding and motivation in the learning of statistics. Highly positive responses were recorded from the respondents in their evaluation of learning performances, hence indicating the strength of both the web-based and traditional PBL approach in the enhancement of learning effectiveness and motivation towards learning.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average