Research on K12 Exercise Recommendation Algorithm based on Educational Neuroscience
Shaowei Zhang, Zhizhuang Li, Xiaoli Li, Xiaoke Huang · 2022 International Conference on Advanced Learning Technologies (ICALT) · 2022
In order to help primary and middle school students improve their self-efficacy and reduce their workload, a K12 exercise recommendation algorithm based on educational neuroscience is proposed in this paper. Experimental tests show that, under the same number of classroom exercises, the exercises recommended by the algorithm can help the target students to achieve greater ability improvement, and thus achieve the effect of reducing the workload of primary and secondary school students.