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Satoe Okabayashi; Kyoko Kitazawa; Hisashi Noma; Yoshimitsu Takahashi; Taku Iwami; Takashi Kawamura; Takeo Nakayama – Health Education Research, 2024
Evidence-based medicine (EBM) is helpful for laypersons' decision-making. This study aimed to evaluate the effectiveness of e-learning materials on the essential components of EBM for laypersons. We conducted a web-based, open-label, randomized controlled trial with laypersons in Japan aged [greater than or equal to]20 years who used the internet.…
Descriptors: Electronic Learning, Instructional Materials, Medicine, Randomized Controlled Trials
Mark A. Elliott; Allan McGroarty; David J. Robertson – British Journal of Educational Psychology, 2024
Background: A volitional help sheet (VHS) is an intervention for promoting implementation intentions. This study was the first to test the effectiveness of a VHS for increasing university students' lecture attendance. Aims: To develop a VHS to increase university students' lecture attendance and test its effectiveness at increasing the proportion…
Descriptors: Synchronous Communication, Electronic Learning, Computer Mediated Communication, Randomized Controlled Trials
Jordan Rickles; Margaret Clements; Iliana Brodziak de los Reyes; Mark Lachowicz; Shuqiong Lin; Jessica Heppen – Journal of Research on Educational Effectiveness, 2024
Online credit recovery will likely expand in the coming years as school districts try to address increased course failure rates brought on by the coronavirus pandemic. Some researchers and policymakers, however, raise concerns over how much students learn in online courses, and there is limited evidence about the effectiveness of online credit…
Descriptors: Online Courses, Electronic Learning, Repetition, Required Courses
Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Avery H. Closser; Adam Sales; Anthony F. Botelho – Educational Technology Research and Development, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data to study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Jordan Rickles; Margaret Clements; Iliana Brodziak de los Reyes; Mark Lachowicz; Shuqiong Lin; Jessica Heppen – Grantee Submission, 2023
Online credit recovery will likely expand in the coming years as school districts try to address increased course failure rates brought on by the coronavirus pandemic. Some researchers and policymakers, however, raise concerns over how much students learn in online courses, and there is limited evidence about the effectiveness of online credit…
Descriptors: Online Courses, Electronic Learning, Repetition, Required Courses
Amanda Garey – ProQuest LLC, 2021
The purpose of this study was to examine the effectiveness of an online interprofessional education competency (IPEC) online educational module intervention on the level of interprofessional team collaboration (ITC) on three subscales, as measured with the Assessment of Interprofessional Team Collaboration Scale (AITCS-II) in interprofessional…
Descriptors: Randomized Controlled Trials, Electronic Learning, Teamwork, Intervention
Sales, Adam C.; Prihar, Ethan B.; Gagnon-Bartsch, Johann A.; Heffernan, Neil T. – Journal of Educational Data Mining, 2023
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…
Descriptors: Data Use, Research Methodology, Randomized Controlled Trials, Educational Technology
Ethan Prihar; Manaal Syed; Korinn Ostrow; Stacy Shaw; Adam Sales; Neil Heffernan – Grantee Submission, 2022
As online learning platforms become more ubiquitous throughout various curricula, there is a growing need to evaluate the effectiveness of these platforms and the different methods used to structure online education and tutoring. Towards this endeavor, some platforms have performed randomized controlled experiments to compare different user…
Descriptors: Educational Trends, Electronic Learning, Educational Experience, Educational Experiments
Ethan Prihar; Manaal Syed; Korinn Ostrow; Stacy Shaw; Adam Sales; Neil Heffernan – International Educational Data Mining Society, 2022
As online learning platforms become more ubiquitous throughout various curricula, there is a growing need to evaluate the effectiveness of these platforms and the different methods used to structure online education and tutoring. Towards this endeavor, some platforms have performed randomized controlled experiments to compare different user…
Descriptors: Educational Trends, Electronic Learning, Educational Experience, Educational Experiments
Dora Gicheva; Julie Edmunds; Beth Thrift; Marie Hull; Jeremy Bray – Sage Research Methods Cases, 2020
Our research team worked with Wake Technical Community College to evaluate an intervention to redesign the delivery of a set of introductory online courses. To obtain unbiased estimates of the treatment effects of the intervention, we conducted a randomized control trial in which students who enrolled in the study courses were assigned randomly to…
Descriptors: Randomized Controlled Trials, Educational Research, Electronic Learning, Introductory Courses
Sancenon, Vicente; Wijaya, Kharisma; Wen, Xavier Yue Shu; Utama, Diaz Adi; Ashworth, Mark; Ng, Kelvin Hongrui; Cheong, Alicia; Neo, Zhizhong – International Journal of Virtual and Personal Learning Environments, 2022
Although there is increasing acceptance that personalization improves learning outcomes, there is still limited experimental evidence supporting this claim. The aim of this study was to implement and evaluate the effectiveness of an adaptive recommendation system for Singapore primary and secondary education. The system leverages users trace data…
Descriptors: Academic Achievement, Electronic Learning, Learning Analytics, Learning Processes
Patikorn, Thanaporn; Selent, Douglas; Heffernan, Neil T.; Beck, Joseph E.; Zou, Jian – International Educational Data Mining Society, 2017
In this work, we describe a new statistical method to improve the detection of treatment effects in interventions. We call our method TAME (Trained Across Multiple Experiments). TAME takes advantage of multiple experiments with similar designs to create a single model. We use this model to predict the outcome of the dependent variable in unseen…
Descriptors: Statistical Analysis, Outcomes of Treatment, Intervention, Randomized Controlled Trials
de Hoop, Thomas; Brudevold-Newman, Andrew; Davis, Dustin – American Institutes for Research, 2018
Low- and middle-income countries have made significant progress getting children into school, but student learning and achievement are often dreadfully low (Berry, Barnett, & Hinton, 2015; Pritchett, 2013). Approximately 250 million children across the world are not acquiring basic reading and math skills, even though about half have spent at…
Descriptors: Randomized Controlled Trials, Networks, Electronic Learning, Educational Technology
Selent, Douglas; Patikorn, Thanaporn; Heffernan, Neil – Grantee Submission, 2016
In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…
Descriptors: Intelligent Tutoring Systems, Data, Randomized Controlled Trials, Electronic Learning