TY - JOUR
T1 - Learning analysis of K-12 students’ online problem solving
T2 - a three-stage assessment approach
AU - Hu, Yiling
AU - Wu, Bian
AU - Gu, Xiaoqing
N1 - Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/2/17
Y1 - 2017/2/17
N2 - Problem solving is considered a fundamental human skill. However, large-scale assessment of problem solving in K-12 education remains a challenging task. Researchers have argued for the development of an enhanced assessment approach through joint effort from multiple disciplines. In this study, a three-stage approach based on an evidence-centered design framework is proposed to analyze problem-solving behavior, abilities, and performance. The approach is applied to assess the online problem solving of 554 students in a Shanghai primary school. The study reveals four clusters with distinctive problem-solving behavior, abilities, and performance. The findings of this approach also corroborate the results of the Programme for International Student Assessment of Shanghai students’ problem-solving performance. The implications and limitations of this study are also discussed.
AB - Problem solving is considered a fundamental human skill. However, large-scale assessment of problem solving in K-12 education remains a challenging task. Researchers have argued for the development of an enhanced assessment approach through joint effort from multiple disciplines. In this study, a three-stage approach based on an evidence-centered design framework is proposed to analyze problem-solving behavior, abilities, and performance. The approach is applied to assess the online problem solving of 554 students in a Shanghai primary school. The study reveals four clusters with distinctive problem-solving behavior, abilities, and performance. The findings of this approach also corroborate the results of the Programme for International Student Assessment of Shanghai students’ problem-solving performance. The implications and limitations of this study are also discussed.
KW - Problem solving
KW - cluster analysis
KW - cognitive diagnosis
KW - evidence-centered design
KW - large-scale assessment
KW - learning analytics
KW - sequential data mining
UR - https://www.scopus.com/pages/publications/85008690506
U2 - 10.1080/10494820.2016.1276080
DO - 10.1080/10494820.2016.1276080
M3 - 文章
AN - SCOPUS:85008690506
SN - 1049-4820
VL - 25
SP - 262
EP - 279
JO - Interactive Learning Environments
JF - Interactive Learning Environments
IS - 2
ER -