Erin Ottmar, Ji-Eun Lee, Kirk P. Vanacore, Siddhartha Pradhan, Lauren E. Decker-Woodrow, C. Mason
{"title":"Data from the Efficacy Study of From Here to There! A Dynamic Technology for Improving Algebraic Understanding","authors":"Erin Ottmar, Ji-Eun Lee, Kirk P. Vanacore, Siddhartha Pradhan, Lauren E. Decker-Woodrow, C. Mason","doi":"10.5334/jopd.87","DOIUrl":null,"url":null,"abstract":"This paper provides information on datasets for the research project that examined the efficacy of three educational technologies including “From Here to There!”, a research-based game for improving algebraic understanding. The dataset contains 4,092 7th-grade students’ data collected through a randomized control trial conducted in 2020–2021 in a large school district in the U.S. The data comprises over 400 measures, including student demographics, assessments, and students’ actions. All data is anonymized and stored on Open Science Framework (OSF) and available through a data-sharing agreement. Our data might be reused by researchers interested in students’ algebraic learning in online learning environments.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of open psychology data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5334/jopd.87","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper provides information on datasets for the research project that examined the efficacy of three educational technologies including “From Here to There!”, a research-based game for improving algebraic understanding. The dataset contains 4,092 7th-grade students’ data collected through a randomized control trial conducted in 2020–2021 in a large school district in the U.S. The data comprises over 400 measures, including student demographics, assessments, and students’ actions. All data is anonymized and stored on Open Science Framework (OSF) and available through a data-sharing agreement. Our data might be reused by researchers interested in students’ algebraic learning in online learning environments.