Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems
Past research has defined a general process for the data-driven redesign of educational technologies and has shown that in carefully-selected instances, this process can help make systems more effective. In the current work, we test the generality of the approach by applying it to four units of a middle-school mathematics intelligent tutoring system that were selected not based on suitability for redesign, as in previous work, but on topic. We tested whether the redesigned system was more effective than the original in a classroom study with 123 students. Although the learning gains did not differ between the conditions, students who used the Redesigned Tutor had more productive time-on-t...
| Authors | Qianru Lyu, Conrad Borchers, Meng Xia et al. |
|---|---|
| Primary category | cs.HC |
| Published | 31 March 2026 |
| Last updated at source | 31 March 2026 |
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