For over 30 years, calls have been issued for the western evaluation field to address implicit bias in its theory and practice. Although many in the field encourage evaluators to be culturally competent, ontological competence remains unaddressed. Grounded in an institutionalized distrust of non-western perspectives of reality and knowledge…

For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…

The purpose of this article is to describe a modeling sequence about the digestive system. "What happens in your body when you have lactose intolerance?" is the initial question that will guide the activities. Students will build a 3D plaster cast of the digestive system as part of a modeling cycle through which they are expected to…

Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…

The process of turning a doctoral student into an independent researcher is usually guided by a professor. In this work, the supervisor-supervisee relationship is represented by a scheme inspired by Michaelis-Menten kinetics, which has been used to determine the rate of enzyme-catalysed reactions. Here, the time evolution of the number of…

Scaled analog modeling ("sandbox modeling") allows deformational processes, such as the development of a mountain belt, to be observed in real time in a classroom setting. However, the actual learning gains from exposure to sandbox modeling in geology courses in higher education settings have not been explicitly studied. We begin to…

This article argues that Agent-Based Modelling, owing to its capabilities and methodology, has a distinctive contribution to make to delivering coherent social science prediction. The argument has four parts. The first identifies key elements of social science prediction induced from real research across disciplines, thus avoiding a straw person…

The randomized response technique (RRT) is an effective method designed to obtain the stigmatized information from respondents while assuring the privacy. In this study, we propose a new two-stage RRT model to estimate the prevalence of sensitive attribute ([pi]). A simulation study shows that the empirical mean and variance of proposed estimator…

Elements of strength-based pedagogy are evident in current practices being implemented in Canadian schools as well as internationally. Classroom teachers appreciate the importance of creating a positive learning environment for students where the latter feel a sense of belonging, choice, and self-efficacy toward their learning (Deci & Ryan,…

The low level of students' scientific reasoning skills is caused by the low-quality learning process. Action is needed to improve the learning process by applying innovative learning models, the Reading, Identification, Constructing, Solving, Reviewing, and Extending (RICOSRE) learning model. This research aims to determine the effect of RICOSRE…

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,"…

With the advancements in information and communications technologies, new teaching approaches arise. In this context, project-based learning (PBL) and science, technology, engineering, the arts, and mathematics model (STEAM) emerge as the most popular in the education field, attributed to their efficacy on students' learning capacity. This article…

The COVID-19 pandemic has tackled global sustainability without prejudice or geographical constraint. It has also prompted people to advance to the post-pandemic era. However, it is possible that in the future, extreme negative effects in response to crisis, especially during a pandemic, would recur. In fact, it might worsen. This situation has…

This Element explores ways to promote critical literacy in teacher education. First, the authors define critical literacy in the context of teacher education through established theoretical frameworks and models of critical literacy pedagogy and share their collective findings on critical literacy research over the course of a decade. Building…

The current research study utilized a case study research method to test the theory that the creativity and innovative processes are a complex adaptive system. Through qualitative interviews with renowned creators, the current study categorized the data into eight characteristics of complex adaptive systems: path dependent, systems have a history,…