NotesFAQContact Us
Search Tips
ERIC Number: ED479825
Record Type: RIE
Publication Date: 2003-May
Pages: 16
Abstractor: N/A
Developing Learner Concentric Learning Outcome Typologies Using Clustering and Decision Trees of Data Mining.
Luan, Jing
This study aims to address learning outcomes from the perspective of learners. The research questions asked were: (1) What learner concentric ideas can be used to indicate the outcomes of learning? (2) How would the new learning outcome index be used to generate typologies? (3) What are the inner relationships of the typologies? and (4) How can the typologies be applied? The author argues that typology is fundamental to science, yet it is seriously underused and under-researched in social science. Only a handful of authors have worked on the subject, which has created an insurmountable gap between what has been done and what needs to happen. The study examined first-time college students enrolled in spring 1996 at a suburban college on the West coast with enrollment of 15,000 per semester. The study tracked the students for 6 years for their enrollment behavior, graduation status, and transfer status. The study theorizes that what may be important to the learner may not be important to the institution. The author argues that the "big three" (gender, age, race) are not good predictors of typologies, and that learners' behaviors as reflected by the OIndex are a better way of describing learner outcomes. (Contains 11 references.) (NB)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Note: Paper presented at the Annual Forum of the Association for Institutional Research (43rd, Tampa, FL, May 18-21, 2003).