This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction to building and optimizing custom deep learning models and shows how to adapt them to estimate/predict heterogeneous treatment effects. It also discusses ongoing work to…

In the last years special "ovals" appear increasingly often in diagrams and applets for discussing crucial items of statistical inference (when dealing with confidence intervals for an unknown probability p; approximation of the binomial distribution by the normal distribution; especially in German literature, see e.g. [Meyer,…

This note is concerned with the study of temporal development in several indices reflecting clustering effects in multilevel designs that are frequently utilized in educational and behavioral research. A latent variable method-based approach is outlined, which can be used to point and interval estimate the growth or decline in important functions…

Given decision-makers often prioritize causal research that identifies the impact of treatments on the people they serve, a key question in education research is, "Does it work?". Today, however, researchers are paying increasing attention to successive questions that are equally important from a practical standpoint--not only does it…

Sensitivity analysis, a statistical method crucial for validating inferences across disciplines, quantifies the conditions that could alter conclusions (Razavi et al., 2021). One line of work is rooted in linear models and foregrounds the sensitivity of inferences to the strength of omitted variables (Cinelli & Hazlett, 2019; Frank, 2000). A…

Teaching reading can be simplistically divided into two sections: learning how to read, known as decoding, and deriving meaning from the printed word, known as comprehension. Many educators still hold to the position that these skills should be taught linearly with an emphasis on comprehension lagging considerably behind the teaching of decoding.…

Though previously unacknowledged, a SMART (Sequential Multiple Assignment Randomized Trial) design uses both regression discontinuity (RD) and randomized controlled trial (RCT) designs. This combination structure creates a conceptual symbiosis between the two designs that enables both RCT- and previously unrecognized, RD-based inferential claims.…

Making inferences is essential to comprehending text. Teachers can ask inferential questions, model their thinking, and teach specific strategies to support upper elementary students in making inferences while reading.

This conceptual paper deals with ways in which gesture or embodied utterances create deictic expressions (i.e., deixis) that are relevant to second language teaching and learning. While many gesture types have been found to be material carriers of meaning (McNeill, 1992; Vygotsky, 1986), deictics have the ability and function to create new…

Since 2018, institutions of higher education have been aware of the "enrollment cliff" which refers to expected declines in future enrollment. This paper attempts to describe how prepared institutions in Ohio are for this future by looking at trends leading up to the anticipated decline. Using IPEDS data from 2012-2022, we analyze trends…

Dynamic Item Response Models extend the standard Item Response Theory (IRT) to capture temporal dynamics in learner ability. While these models have the potential to allow instructional systems to actively monitor the evolution of learner proficiency in real time, existing dynamic item response models rely on expensive inference algorithms that…

Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…

Research substantiates that inferencing is a critical component to making sense of texts. The ability to make logical inferences is a key characteristic of proficient comprehenders that can be developed before children become fluent readers. This article argues for teaching inferencing via teacher or parent read-alouds to help young readers…

This paper aims to reveal the potential of inferentialism, an emerging philosophy in mathematics education, to extend contemporary constructivist research regarding conceptual development. Going against the traditional view of a notion as the name of a corresponding concept and a constructivist way of naming second-order models, we provide a new…

This Teaching and Learning Guide highlights how early childhood teachers can support emotional intelligence and inferential comprehension by drawing children's attention to characters' feelings and by asking students to notice evidence from the illustrations and text. During this read-aloud in Ms. Clark's first grade classroom, we see evidence of…