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Download full textYanping Pei; Adam C. Sales; Hyeon-Ah Kang; Tiffany A. Whittaker – International Educational Data Mining Society, 2025
Fully-Latent Principal Stratification (FLPS) offers a promising approach for estimating treatment effect heterogeneity based on patterns of students' interactions with Intelligent Tutoring Systems (ITSs). However, FLPS relies on correctly specified models. In addition, multiple latent variables, such as ability, participation, and epistemic…
Descriptors: Intelligent Tutoring Systems, Measurement, Computation, Simulation
Direct linkPeter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Christopher Doss; John F. Pane; Victoria Jones – Annenberg Institute for School Reform at Brown University, 2025
Despite efforts to broaden participation in computer science and its related fields, there exist stark disparities in participation in computer related fields by gender, race/ethnicity, and socio-economic status. One approach to combat these disparities is to expose children to computing concepts early, to provide them with the foundational skills…
Descriptors: Teaching Methods, Computation, Thinking Skills, Skill Development
