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.¶

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 attributes to Lee and Brunskill that individualized BKT could roughly halve the questions needed for 20% of students to reach mastery. → 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 attributing this to Lee and Brunskill, who "suggest" individualized BKT in an intelligent tutoring system can reduce "by about half the amount of questions required for 20% of students to achieve mastery". The survey gives no design or sample details.

"Lee and Brunskill [68] suggest that when applied in an intelligent tutoring system, the individualized BKT model can yield good improvements to student learning efficacy, reducing by about half the amount of questions required for 20% of students to achieve mastery."

Discussion¶

Related Claims¶

• The survey reports, citing Pavlik et al., that no single knowledge tracing model was always the best, and that a better model must consider multiple student features and the learning context. — the general claim this finding bears on, with the studies behind it

• 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

• Intelligent tutoring systems improve achievement over non-individualised instruction — 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
• 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. — related
• An intelligent reading tutor used 20 minutes a day offered time efficiencies over conventional human tutoring of 30 or more minutes a day — related
• Intelligent tutoring systems are reported to improve learning outcomes, especially in structured knowledge domains — a broader claim this one bears on
• BKT is the most efficient knowledge tracing approach overall in simulated online mastery learning, though DKT is more efficient for AS and M problems — related