Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/18025
Title: 
Idea identification and analysis (I2A): A search for sustainable promising ideas within knowledge-building discourse
Authors: 
Issue Date: 
Jun-2016
Citation: 
Lee, A. V. Y., Tan, S. C., & Chee, K. J. K. (2016). Idea identification and analysis (I2A): A search for sustainable promising ideas within knowledge-building discourse. In C. K. Looi, J. Polman, U. Cress, & P. Reimann (Eds.). Transforming learning, empowering learners: The International Conference of the Learning Sciences (ICLS) 2016, Volume 1 (pp. 90-97). Singapore: International Society of the Learning Sciences.
Abstract: 
This is a study on the identification and analysis of promising ideas, which examines
the knowledge building discourse of 20 students within Knowledge Forum, through the I2A
system in a mixed method approach. It is a challenge in providing support to maintain efforts in
identifying and improving ideas, which this study addresses through visualization and step-wise
analysis of discourse network measures that are calculated using the Knowledge Building
Discourse Explorer. By using Social Network Analysis with chosen keywords and analyzing
quality of notes, we are able to identify and trace the evolvement of ideas that become promising
talking points within the discourse space. Findings show that ideas can be classified and further
analyzed to have an impact on subsequent discourse. Teachers can focus their resources on
promising ideas that help the community maintain engagement in creative work to improve
ideas, so as to learn more effectively and attain knowledge creation goals.
URI: 
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
ICLS-2016-90_a.pdf852.67 kBAdobe PDFView/Open
Show full item record

Page view(s) 20

81
checked on Feb 22, 2019

Download(s) 20

96
checked on Feb 22, 2019