In classroom-learned history content, sorting-task network overlap with an expert network correlates significantly with both lesson test and unit test scores one month later¶

Claim · All claims
Evidence · 1 study · associational r1 · q3 · i3 large
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i3 Grade 7 students' sorting-task network overlap with the expert Qin network correlated significantly with Qin test scores (r = 0.25) and Unit 3 exam scores (r = 0.37) one month after the exam. → Chen 2025

Evidence¶

Chen 2025¶

Chen, X., Wang, W., Peng, C., Guo, W., & Clariana, R. B. (2025). An exploratory study of a new concept macrostructure measure when learning history in middle school. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10536-4

q3 · i3 · associational · r1

Study 1 correlational analysis of 255 grade 7 students who completed a computer sorting task of 43 Qin Dynasty topic terms one month after the Unit 3 exam. Pearson correlations showed "correlation coefficient between overlaps and score on Unit 3 was r = 0.37, p <.001" and r = 0.25 with the Qin test.

"The correlation coefficient between overlaps and score on Qin was r = 0.25, p <.001, between scores on Qin and Unit 3 was r = 0.58, p <.001, and most interestingly, correlation coefficient between overlaps and score on Unit 3 was r = 0.37, p <.001."

Discussion¶

Related Claims¶

• Graph centrality of students' sorting-task networks showed no relationship to expert-network overlap or to posttest scores in either study — related
• Under self-directed learning, sorting-task network overlap correlates significantly with immediate and one-month-delayed posttest scores — related
• Sorting tasks elicited networks with more expert overlap than essay writing, suggesting sorting better captures nascent conceptual structures — related