Learning from an Adaptive Learning System: Student Profiling among Middle School Students

Shuai Wang, Mingyu Feng, Marie Bienkowski, Claire Christensen, Wei Cui

2019

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.

Paper Citation

in Harvard Style

Wang S., Feng M., Bienkowski M., Christensen C. and Cui W. (2019). Learning from an Adaptive Learning System: Student Profiling among Middle School Students.In Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-367-4, pages 78-84. DOI: 10.5220/0007729700780084

in Bibtex Style

@conference{csedu19,
author={Shuai Wang and Mingyu Feng and Marie Bienkowski and Claire Christensen and Wei Cui},
title={Learning from an Adaptive Learning System: Student Profiling among Middle School Students},
booktitle={Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2019},
pages={78-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007729700780084},
isbn={978-989-758-367-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Learning from an Adaptive Learning System: Student Profiling among Middle School Students
SN - 978-989-758-367-4
AU - Wang S.
AU - Feng M.
AU - Bienkowski M.
AU - Christensen C.
AU - Cui W.
PY - 2019
SP - 78
EP - 84
DO - 10.5220/0007729700780084