Authors:
Shuai Wang
1
;
Mingyu Feng
2
;
Marie Bienkowski
1
;
Claire Christensen
1
and
Wei Cui
3
Affiliations:
1
SRI Education, SRI International, 1100 Wilson Blvd., Suite 2800, Arlington, VA, 22209 and U.S.A.
;
2
WestEd, 400 Seaport Court, Suite 222, Redwood, City, CA, 94063 and U.S.A.
;
3
Squirrel AI Learning, 10 Jianguozhonglu #5110, Shanghai and China
Keyword(s):
Adaptive Learning, Student Profiling, Mathematics Education, Cluster Analysis.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Information Technologies Supporting Learning
;
Learning Analytics
Abstract:
Individuals who use adaptive technology products will have different learning experiences due to differences in background knowledge. The Yixue intelligent learning system is a computer-based learning environment that adapts content and guidance to individualize learning. Using K-means clustering on data collected from 206 middle school students (72440 records) who interacted with the mathematics learning system, we created three clusters of students based on prior achievement: high, medium, and low. These three clusters were not significantly associated with students’ gain scores, which implies that the learning system was able to help students from different achievement levels learn equally well. We discuss implications for supporting mathematics learning using adaptive systems for Chinese students.