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

TL;DR

This paper introduces a straightforward exercise recommendation system for K-12 online learning that enhances recommendation quality and diversity through three key modules, showing measurable improvements over baseline methods.

Contribution

It presents a novel, simple recommendation framework with three modules that effectively balances quality and diversity in exercise suggestions.

Findings

Improved recall in exercise recommendations.

Increased diversity of recommended exercises by 0.81%.

Demonstrated effectiveness over baseline methods.

Abstract

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.