Title :
Analyzing Students´ Cognitive Processing Patterns of a Socioscientific Issue Learning Activity with Online Discussion -- A Preliminary Result of Lag Sequential Analysis
Author :
Huei-Tse Hou;Shu-Ming Wang
Author_Institution :
Grad. Inst. of Appl. Sci. &
fDate :
7/1/2015 12:00:00 AM
Abstract :
Socioscientific issues (SSI) are frequently used to enhance student´s decision ability and critical thinking skills. In order to help students be more immersed in the SSI problems, this study employed a socioscientific issue role-playing learning activity and used online discussion to support their collaboration. The cognitive process dimension of Revised Bloom´s Taxonomy was used as coding scheme and used Lag Sequential Analysis (LSA) to depict students cognitive processing behavioral pattern. The preliminary results showed that students of different roles exhibited diverse cognitive processing behavioral patterns in online discussion. Results are discussed and expected to serve as guidance for conducting SSI related learning activity and subsequent research.
Keywords :
"Sequential analysis","Encoding","Companies","Context","Collaborative work","Nuclear power generation"
Conference_Titel :
Advanced Applied Informatics (IIAI-AAI), 2015 IIAI 4th International Congress on
Print_ISBN :
978-1-4799-9957-6
DOI :
10.1109/IIAI-AAI.2015.216