Diagnostic Questions: The NeurIPS 2020 Education Challenge.

地球仪 课程 质量(理念) 竞赛(生物学) 个性化学习 计算机科学 数学教育 数据科学 心理学 医学教育 教学方法 教育学 医学 开放式学习 合作学习 神经科学 生物 生态学 认识论 哲学
作者
Zichao Wang,Angus Lamb,Evgeny Saveliev,Pashmina Cameron,Yordan Zaykov,José Miguel Hernández-Lobato,Richard E. Turner,Richard G. Baraniuk,Craig Barton,Simon Peyton Jones,Simon Woodhead,Cheng Zhang
出处
期刊:Cornell University - arXiv [Cornell University]
被引量:28
摘要

Digital technologies are becoming increasingly prevalent in education, enabling personalized, high quality education resources to be accessible by students across the world. Importantly, among these resources are diagnostic questions: the answers that the students give to these questions reveal key information about the specific nature of misconceptions that the students may hold. Analyzing the massive quantities of data stemming from students' interactions with these diagnostic questions can help us more accurately understand the students' learning status and thus allow us to automate learning curriculum recommendations. In this competition, participants will focus on the students' answer records to these multiple-choice diagnostic questions, with the aim of 1) accurately predicting which answers the students provide; 2) accurately predicting which questions have high quality; and 3) determining a personalized sequence of questions for each student that best predicts the student's answers. These tasks closely mimic the goals of a real-world educational platform and are highly representative of the educational challenges faced today. We provide over 20 million examples of students' answers to mathematics questions from Eedi, a leading educational platform which thousands of students interact with daily around the globe. Participants to this competition have a chance to make a lasting, real-world impact on the quality of personalized education for millions of students across the world.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
youxia123完成签到,获得积分10
刚刚
刚刚
滑稽发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
执着的青烟完成签到,获得积分10
1秒前
jxr完成签到,获得积分20
2秒前
2秒前
2秒前
郭医生发布了新的文献求助10
2秒前
星辰大海应助宁臣采纳,获得10
3秒前
dongzishan关注了科研通微信公众号
3秒前
3秒前
小董不懂发布了新的文献求助10
4秒前
4秒前
希望天下0贩的0应助Avery采纳,获得10
5秒前
深情安青应助CheeseD采纳,获得10
6秒前
6秒前
基尼台妹完成签到,获得积分10
7秒前
多多发布了新的文献求助30
7秒前
含蓄绿竹完成签到 ,获得积分10
7秒前
8秒前
8秒前
香蕉觅云应助陶醉的安寒采纳,获得10
8秒前
9秒前
AAA完成签到 ,获得积分10
9秒前
9秒前
10秒前
董晴发布了新的文献求助20
10秒前
Yzh666发布了新的文献求助20
10秒前
冷艳莛发布了新的文献求助10
10秒前
淡然以柳完成签到 ,获得积分0
10秒前
小糖发布了新的文献求助10
11秒前
老杨发布了新的文献求助10
11秒前
又欠粥了完成签到,获得积分10
11秒前
mtt发布了新的文献求助40
11秒前
11秒前
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7367065
求助须知:如何正确求助?哪些是违规求助? 8975120
关于积分的说明 19080813
捐赠科研通 7010918
什么是DOI,文献DOI怎么找? 3224257
关于科研通互助平台的介绍 2387888
邀请新用户注册赠送积分活动 2205006