Personalized learning considers that the causal effects of a studied learning intervention may differ for the individual student. Making the inference about causal effects of studies interventions is a central problem. In this paper we propose the Residual Counterfactual Networks (RCN) for answering counterfactual inference questions, such as…

In education, sample characteristics can be complex due to the nested structure of students, teachers, classrooms, schools, and districts. In the past, not many considerations were given to such complex sampling schemes in statistical power analysis. More recently in the past two decades, however, education scholars have developed tools to conduct…

This research examined over 200 elementary students' pre and post-test changes in computational thinking from a 10-week coding program delivered as part of the regular school day. Participants benefited from early access to computer science (CS) lessons with increases in understanding and applying coding concepts. Interviews from participants…

The purpose of this study is to investigate Indigenous pupils' achievement in Mathematics with Bilingual (Bahasa Melayu and Temiar) versions of mathematics tests. Both tests were based on Mathematics computation and word problem items. This study involved eight Orang Asli (Indigenous) primary students from eight schools in the district of Sungai…

Learning to compute with fractions is a major challenge for many students and especially for students with disabilities (SWD). Phase 1 of this study employed a randomized pretest-posttest comparison design to test the effects of two versions of formative assessment combined with an instructional program called Fractions at Work. In one condition,…

This multi-method case study explored the actual and perceived mathematical growth, as measured by the counting and measuring, problem writing tasks (CaMPWTs) and focus student interviews respectively, of fifth graders at Catherine Elementary Middle School as they completed tasks designed specifically to scaffold the development of a set of math…

There are no absolute standards regarding what teaching evaluation ratings are satisfactory. It is also problematic to compare teaching evaluation ratings with the average or with a cutoff number to determine whether they are adequate. In this paper, we use average and standard deviation charts (X[overbar]-S charts), which are based on the theory…

In this article Allan Rossman shares a conversation with Nicholas Horton, Beitzel Professor of Technology and Society and Professor of Statistics and Data Science at Amherst College. Horton is a Fellow of the American Statistical Association and the American Association for the Advancement of Science. Some topics of discussion included where…

Bayesian algorithms have been used successfully in the social and behavioral sciences to analyze dichotomous data particularly with complex structural equation models. In this study, we investigate the use of the Polya-Gamma data augmentation method with Gibbs sampling to improve estimation of structural equation models with dichotomous variables.…

A computer program was developed to estimate speed-accuracy response models for dichotomous items. This report describes how the models are estimated and how to specify data and input files. An example using data from a listening section of an international language test is described to illustrate the modeling approach and features of the computer…

Mathematics is an important nature exploration tool used by all natural sciences. So it is usual that mathematical calculations are part of school science education. But how are these calculations perceived by the learners themselves? What are their attitudes to this part of the teaching process? The answer to this question is important for any…

Our research focuses on developing elementary students' mental computation skills with the help of card games. Choosing this area of study was motivated by our personal experiences, namely, that mathematics programmes of study do not lay emphasis on this aspect; there are too few hours dedicated to developing this skill, and several mental…

With the release of the Next Generation Science Standards (NGSS), assessing K-12 science teachers' self-efficacy in Computational Thinking (CT) is an important research gap to study. Bandura defines self-efficacy as awareness of the individual's potential and capabilities to accomplish a goal. Teaching efficacy beliefs is a significant identifier…

Studies have acknowledged computational thinking (CT) as an efficient approach for problem-solving particularly required in digital workplaces. This research aims to identify indicators for a holistic CT assessment instrument for undergraduate students. A three-round fuzzy Delphi study has been conducted to gain comprehensive opinions and…

The What Works Clearinghouse (WWC) is an initiative of the U.S. Department of Education's Institute of Education Sciences (IES), which was established under the Education Sciences Reform Act of 2002. It is an important part of IES's strategy to use rigorous and relevant research, evaluation, and statistics to improve the nation's education system.…