IRAIJun 23, 2022

A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning

arXiv:2206.12291v14 citationsh-index: 32
Originality Incremental advance
AI Analysis

This addresses exercise recommendation for K-12 students, but appears incremental as it builds on existing methods with specific improvements.

The paper tackled the problem of recommending exercises for K-12 online learning by proposing a method with three modules, resulting in improved recall and a 0.81% increase in diversity compared to baselines.

We propose a simple but effective method to recommend exercises with high quality and diversity for students. Our method is made up of three key components: (1) candidate generation module; (2) diversity-promoting module; and (3) scope restriction module. The proposed method improves the overall recommendation performance in terms of recall, and increases the diversity of the recommended candidates by 0.81\% compared to the baselines.

Foundations

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