Download full textERIC Number: ED537180
Record Type: Non-Journal
Publication Date: 2012-Jun
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Mining Student Behavior Patterns in Reading Comprehension Tasks
Peckham, Terry; McCalla, Gord
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, Jun 19-21, 2012)
Reading comprehension is critical in life-long learning as well as in the workplace. In this paper, we describe how multidimensional k-means clustering combined with Bloom's Taxonomy can be used to determine positive and negative cognitive skill sets with respect to reading comprehension tasks. This information could be used to inform environments that support students improving their meta-cognitive skills. (Contains 2 figures and 5 tables.) [This research was funded by the Natural Sciences and Engineering Research Council of Canada. For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, June 19-21, 2012)," see ED537074.]
Descriptors: Thinking Skills, Behavior Patterns, Reading Comprehension, Student Behavior, Metacognition, Classification, Experiments, Reading, Scores
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society
Grant or Contract Numbers: N/A
