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.…

This paper aims to showcase the value of implementing a Bayesian framework to analyze and report results from international large-scale assessments and provide guidance to users who want to analyse ILSA data using this approach. The motivation for this paper stems from the recognition that Bayesian statistical inference is fast becoming a popular…

This article introduces a collection of four datasets, similar to Anscombe's quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four datasets is generated based on a distinct causal mechanism: the first involves a collider, the second involves a confounder, the third involves a mediator, and the…

Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…

The purpose of this qualitative descriptive study was to explore how reading teachers in southern urban schools described their use of prior knowledge and text clues in instructing high functioning ASD students in their use of inferencing to improve their reading comprehension. There were three research questions used in this study: RQ1: How do…

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…

This report characterizes forms of dialogic support that a sixth-grade teacher generated during whole-class and small-group conversations to help students develop a practice of statistical modeling. During four weeks of instruction, students constructed and revised models to account for variability and uncertainty across a variety of random…

The central argument of this article is that abduction as a "mode of inference" is a key element in the nature of scientists' science and should consequently be introduced in school science. Abduction generally understood as generation and selection of hypotheses permits to articulate the classical scientific contexts of discovery and…

Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…

Theoretical models of reading comprehension have consistently highlighted the importance of inference generation in the meaning-making process. Additionally, previous research has indicated that instruction in making inferences is effective at improving inference ability and general reading comprehension. In this meta-analysis, we aimed to further…

Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…

Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…

Since research work is an adventurous expedition, one requires clear pathways, without which the researcher can be lost in the foggy way. To develop a good roadmap is, thus, a crucial task on the part of the researcher. Based on this assumption, this study aimed to conceptualize the notions, functions, and components of literature review that…

Mental model (Johnson-Laird, 2001) and probabilistic theories (Oaksford & Chater, 2009) claim to provide distinct explanations of human reasoning. However, the dual strategy model of reasoning suggests that this distinction corresponds to different reasoning strategies, termed "counterexample" and "statistical,"…

A Prolog program consists of a set of facts and rules rather than imperative statements, commonly used in most other programming languages. Therefore, the Prolog language is used to encode logic, from which the inference engine deduces logical conclusions. In this article, we argue that the use of the Prolog language can be useful to help students…