The survey reports, citing Desmarais and Baker, that students using the BKT-sequence recommendation algorithm solved more difficult exercises, obtained higher performance and spent more time in the system than students using the traditional approach.¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The review reports students using BKT-sequence solved more difficult exercises, performed better and spent more time in the system than students with the traditional approach. → Shuanghong Shen 2021

Evidence¶

Shuanghong Shen 2021¶

Shuanghong Shen, Qi Liu, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, and Enhong Chen. (2021). A Survey of Knowledge Tracing: Models, Variants, and Applications. https://arxiv.org/abs/2105.15106 doi:10.48550/arxiv.2105.15106

q2 · i? · review · r2

Narrative review of Desmarais and Baker's BKT-sequence algorithm: "students using the BKT-sequence algorithm were able to solve more difficult exercises, obtained higher performance" than students using the traditional approach. No sample or statistics are printed in the survey.

"Experimental results have shown that students using the BKT-sequence algorithm were able to solve more difficult exercises, obtained higher performance and spent more time in the system than students who used the traditional approach."

Discussion¶

Related Claims¶

• Adaptive scaffolding policies (BKT and DRL) significantly improve posttest performance over a non-adaptive control in a logic ITS — the general claim this finding bears on, with the studies behind it
• BKT-BF suffers high computational cost and does not resolve BKT's identifiability problem, while EM is cheaper but suffers local minima — related
• The EM solver consistently outperformed stochastic gradient descent for fitting the models, though by a small margin — related
• The survey reports, citing Lee and Brunskill, that individualized BKT in an intelligent tutoring system reduced by about half the questions required for 20% of students to achieve mastery. — related
• The survey reports, citing Long and Aleven, that students who used DragonBox enjoyed the experience more, while students who used the Lynnette intelligent tutoring system performed significantly better on the test. — related
• The survey reports, citing Qiu et al., that BKT consistently overestimates the accuracy of students' answers when a day or more has elapsed since their previous responses. — related