Context: Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly…

We propose cross-disciplinary learning as a construct that can guide instruction and assessment in programs that feature sequential learning across multiple science disciplines. Crossdisciplinary learning combines insights from interdisciplinary learning, transfer, and resources frameworks and highlights the processes of resource activation,…

Purpose: A literature research conducted in education and agricultural education journals published during a period of 10 years revealed that 98% of the studies used parametric analyses. In general, model assumptions were not tested, and statistical criteria were not followed to apply the parametric approach. The objective of this paper is to…

Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active,…

Mathematics teacher educators play a key role in supporting secondary mathematics teachers' development of effective, research-based formative assessment (FA) practices. We used qualitative research synthesis as a tool to identify actionable recommendations for mathematics teacher educators as they work with teachers on FA practices in secondary…

The purpose of this article is to provide educators with resources to help students establish a deeper understanding of the application and role of statistical analysis within the design and innovation process. Quantitative analyses are often taught and applied through design activities, especially during testing or experimenting phases of design.…

This article discusses the estimation of a population proportion, using the auxiliary information available, which is incorporated into the estimation procedure by a probit model fit. Three probit regression estimators are considered, using model-based and model-assisted approaches. The theoretical properties of the proposed estimators are derived…

The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…

Diversity in Higher Education system has been a central topic for both scholars and policy-makers for decades. Several studies have investigated how to measure diversity and the nature of its determinants so far; however, contradictory empirical evidence has emerged. This paper contributes to this literature by adopting a methodological approach…

Mistaken beliefs pose a barrier to science learning. For this reason, it is important to understand the circumstances in which they emerge and change. In the current paper, we apply complexity theory to shed light on the nature of mistaken beliefs. The strength of this approach lies in conceptualizing beliefs as dynamic stabilities, a well-defined…

Teacher evaluation has been used for decades in schools as a human resource management practice to hold teachers accountable and to help them develop professionally. This paper provides a synthesis of empirical studies about teacher evaluation. We use an overarching theoretical framework, the value chain, as a guide to collect and map insights…

A broad consensus regarding the need for universities to cultivate academic success has emerged because many students do not achieve their goals or optimally benefit from their higher education (HE) experiences (Altbach, 2014; Davidson & Wilson, 2014; Ferrão & Almeida, 2019; Meggiolaro, Giraldo, & Clerici, 2017; Tinto & Pusser,…

Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance-covariance matrix of the factor…

With the growing complexity of societal and scientific problems, research centers have emerged to facilitate the conduct of research beyond disciplinary and institutional boundaries. While they have become firmly established in the global university landscape, research centers raise some critical questions for research evaluation. Existing…

Contrary to its typical presentation in scientific publications as a certain and linear process, in reality, the experimental method, not least the design aspect of it, requires a great deal of trial-and-error and ad hoc decision-making on the part of the researchers. This uncertain and contingent aspect of research, although little known outside…