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Peer reviewed
Download full textHaya Shamir; David Pocklington; Erik Yoder; Mikayla Tom; Alexander Houchins – Online Submission, 2024
Identifying effective methods that can counteract seasonal trends in learning loss is essential to ensure continuous literacy growth of young learners. Computer-assisted instruction (CAI) is a solution for providing an effective summer literacy program that could help offset summer learning loss. In this study, four-year-old students from South…
Descriptors: Achievement Gap, Prevention, Summer Programs, Computer Assisted Instruction
Direct linkYanping Pei; Adam Sales; Johann Gagnon-Bartsch – Grantee Submission, 2024
Randomized A/B tests within online learning platforms enable us to draw unbiased causal estimators. However, precise estimates of treatment effects can be challenging due to minimal participation, resulting in underpowered A/B tests. Recent advancements indicate that leveraging auxiliary information from detailed logs and employing design-based…
Descriptors: Randomized Controlled Trials, Learning Management Systems, Causal Models, Learning Analytics
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
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Wang, Mei; Sun, Guangwen; Chang, Yaping; Jin, Yanling; Leenus, Alvin; Maaz, Muhammad; Li, Guowei; Bhatt, Meha; Abbade, Luciana P. F.; Nwosu, Ikunna; Zielinski, Laura; Sanger, Nitika; Bantoto, Bianca; Luo, Candice; Shams, Ieta; Shahid, Hamnah; Adachi, Jonathan; Mbuagbaw, Lawrence; Levine, Mitchell; Samaan, Zainab; Thabane, Lehana – Research on Social Work Practice, 2018
Behavioral and social sciences randomized controlled trials (BSSTs) have a significant role in life sciences. Choosing an appropriate control or comparator group for BSSTs is critical, to provide true intervention effects. The objective of this study was to determine the types of control groups used in BSSTs, and the rationale provided to justify…
Descriptors: Randomized Controlled Trials, Databases, Behavioral Science Research, Social Science Research
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Haya Shamir; Erik Yoder; Kathryn Feehan; David Pocklington – Online Submission, 2019
Randomized controlled trials in education are necessary to keep pace with the evidence-based practices demanded by schools and the nation. In this study, kindergarten students in a school district in Indiana were randomized on the class level: The experimental condition consisted of students utilizing a computer-adaptive reading program for 15…
Descriptors: Randomized Controlled Trials, Kindergarten, Young Children, Early Childhood Education
Larry V. Hedges – Journal of Research on Educational Effectiveness, 2018
The scientific rigor of education research has improved dramatically since the year 2000. Much of the credit for this improvement is deserved by Institute of Education Sciences (IES) policies that helped create a demand for rigorous research; increased human capital capacity to carry out such work; provided funding for the work itself; and…
Descriptors: Educational Research, Generalization, Intervention, Human Capital
Henry May; Aly Blakeney – AERA Online Paper Repository, 2022
This paper presents evidence confirming the validity of the RD design in the Reading Recovery study by examining the ability of the RD design to replicate the 1st grade results observed in the original i3 RCT focused on short-term impacts. Over 1,800 schools participated in the RD study over all four cohort years. The RD design used cutoff-based…
Descriptors: Reading Programs, Reading Instruction, Cutting Scores, Comparative Analysis
Stuart, Elizabeth A.; Ackerman, Benjamin; Westreich, Daniel – Research on Social Work Practice, 2018
Randomized trials play an important role in estimating the effect of a policy or social work program in a given population. While most trial designs benefit from strong internal validity, they often lack external validity, or generalizability, to the target population of interest. In other words, one can obtain an unbiased estimate of the study…
Descriptors: Randomized Controlled Trials, Research Design, Validity, Generalizability Theory
Shen, Zuchao; Kelcey, Benjamin; Cox, Kyle T.; Zhang, Jiaqi – AERA Online Paper Repository, 2017
Recent studies show cluster randomized trials may be well powered to detect mediation or indirect effects in multilevel settings. However, literature has rarely provided guidance on designing cluster-randomized trials aim to assess indirect effects. In this study, we developed closed-form expression to estimate the variance of and the statistical…
Descriptors: Randomized Controlled Trials, Research Design, Context Effect, Statistical Analysis
May, Henry; Jones, Akisha; Blakeney, Aly – AERA Online Paper Repository, 2019
Using an RD design provides statistically robust estimates while allowing researchers a different causal estimation tool to be used in educational environments where an RCT may not be feasible. Results from External Evaluation of the i3 Scale-Up of Reading Recovery show that impact estimates were remarkably similar between a randomized control…
Descriptors: Regression (Statistics), Research Design, Randomized Controlled Trials, Research Methodology
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
Chan, Wendy – AERA Online Paper Repository, 2017
Policymakers are increasingly interested in the extent to which experimental results generalize from a sample to a population of inference. When the sample is not randomly selected, propensity score methods are used to reweight the sample. Subclassification by propensity score is commonly used in which the population is partitioned into strata…
Descriptors: Generalization, Classification, Randomized Controlled Trials, Inferences
