Personalised Online Learning Analytics by Exploring Multilayer Graph Data

通过探索多层图数据进行个性化在线学习分析

• 批准号: LP180100750
• 负责人: A/Prof Jianxin Li
• 金额: $ 33.72万
• 依托单位: Deakin University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-09-09 至 2024-08-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180100750
• 关键词: Personalised; Online; Learning; Analytics; Exploring

Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph processing, pattern recognition in learning activities, learning performance assessment, and personalised study plan recommendations. The success of this project will significantly enhance the success of online education both in Australia and worldwide and; hence, will save time, money and resources for end users.

学习分析正在成为降低在线学习学生辍学率的重要因素。该项目的目的是开发一个可靠，强大，实时的分析系统，自动揭示多层次的关系，评估学生的学习成绩，并通过发现生成个人学习计划。该项目包括多层图形处理，学习活动中的模式识别，学习成绩评估和个性化学习计划建议的新算法的设计。该项目的成功将大大提高在线教育在澳大利亚和世界各地的成功，因此，将为最终用户节省时间，金钱和资源。