Proceedings of the Seventh ACM Conference on Learning @ Scale最新文献_第2页

SAGA: Curricula Optimization SAGA:课程优化

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406737

A. Lefranc, David A. Joyner

引用次数: 1

Towards Crowdsourcing the Identification of Knowledge Components 面向知识组件识别的众包

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405940

Steven Moore, Huy A. Nguyen, John C. Stamper

引用次数: 1

An Evidence-Based Learner Model for Supporting Activities in Robotics 机器人技术支持活动的循证学习者模型

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406760

S. Schulz, Andreas Lingnau

引用次数: 2

Inferring Creativity in Visual Programming Environments 在可视化编程环境中推断创造力

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406725

Anastasia Kovalkov, A. Segal, Y. Gal

引用次数: 8

Using Google Search Trends to Estimate Global Patterns in Learning 使用谷歌搜索趋势来估计全球学习模式

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405913

S. Arslan, Mo Tiwari, C. Piech

{"title":"Using Google Search Trends to Estimate Global Patterns in Learning","authors":"S. Arslan, Mo Tiwari, C. Piech","doi":"10.1145/3386527.3405913","DOIUrl":"https://doi.org/10.1145/3386527.3405913","url":null,"abstract":"The use of the Internet for learning provides a unique and growing opportunity to revisit the task of quantifying how much people have learned about a given subject in different regions around the world. Google alone receives over 5 billion searches a day and its publicly available data provides insight into learning process that is otherwise unobservable on a global scale. In this paper we, introduce the Computer Science Literacy-Proxy Index via Search (CSLI-s), a measure that utilizes online search data to make an educated guess around trends in computer science education. This measure uses a statistical signal processing technique to compose search volumes from a spectrum of topics into a coherent score. We intentionally explore and mitigate the biases of search data and, in the process, develop CSLI-s scores that correlate with traditional, more expensive metrics of learning. We then use search-trend data to measure patterns in subject literacy across countries and over time. To the best of our knowledge, this is the first measure of learning via Internet search-trends. The Internet is becoming a standard tool for learners and, as such, we anticipate search-trend data will have growing relevance to the learning science community.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83141382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning 基于强化学习的知识跟踪自动RNN单元设计

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406729

Xinyi Ding, Eric C. Larson

引用次数: 4

Workshop Proposal: Educational A/B Testing at Scale 研讨会提案:大规模的教育A/B测试

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405933

Steven Ritter, N. Heffernan, J. Williams, Burr Settles, Phillip J. Grimaldi, Derek J. Lomas

引用次数: 0

Student Engagement in Mobile Learning via Text Message 通过短信进行移动学习的学生参与度

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405921

René F. Kizilcec, Maximillian Chen

{"title":"Student Engagement in Mobile Learning via Text Message","authors":"René F. Kizilcec, Maximillian Chen","doi":"10.1145/3386527.3405921","DOIUrl":"https://doi.org/10.1145/3386527.3405921","url":null,"abstract":"Mobile learning is expanding rapidly due to its accessibility and affordability, especially in resource-poor parts of the world. Yet how students engage and learn with mobile learning has not been systematically analyzed at scale. This study examines how 93,819 Kenyan students in grades 6, 9, and 12 use a text message-based mobile learning platform that has millions of users across Sub-Saharan Africa. We investigate longitudinal variation in engagement over a one-year period for students in different age groups and check for evidence of learning gains using learning curve analysis. Student engagement is highest during school holidays and leading up to standardized exams, but persistence over time is low: under 25% of students return to the platform after joining. Clustering students into three groups based on their level of activity, we examine variation in their learning behaviors and quiz performance over their first ten days. Highly active students exhibit promising trends in terms of quiz completion, reattempts, and accuracy, but we do not see evidence of learning gains in this study. The findings suggest that students in Kenya use mobile learning either as an ad-hoc resource or a low-cost tutor to complement formal schooling and bridge gaps in instruction.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80118057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Differential Assessment, Differential Benefit: Four-year Problem Roulette Analysis of STEM Practice Study 差异评估，差异效益:STEM实践研究的四年问题轮盘赌分析

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3406731

N. Weaverdyck, D. Anbajagane, A. Evrard

引用次数: 2

Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale 发展数字临床模拟的多样性，公平性和包容性的大规模设置:设计考虑的有效实施规模

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI: 10.1145/3386527.3405947

Elizabeth Borneman, Joshua Littenberg-Tobias, J. Reich

引用次数: 3