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…

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…

This commentary provides an overview of abduction, also known as Inference to the Best Explanation, and argues that the term and relevant problem-solving methods should be adopted by chemistry educators. Abductive reasoning, especially within the context of science and medicine, continues to be an active area of exploration for philosophers and…

In undergraduate mathematics, deductive reasoning plays important roles in teaching and learning various ideas, and is primarily characterized by the concept of logical implication. This comes up whenever conditional statements are applied, i.e., one checks if a statement's hypotheses are satisfied and then makes inferences. In calculus, students…

In this article, I introduce Robert Brandom's inferentialism as an alternative to common representational interpretations of constructivism in science education. By turning our attention away from the representational role of conceptual contents and toward the norms governing their use in inferences, we may interpret knowledge as a capacity to…

Peirce made repeated attempts to clarify what he understood as abduction or creative reasoning in scientific discoveries. In this article, we draw on past and recent scholarship on Peirce's later accounts of abduction to put a case for how teachers can apply his ideas productively to elicit and guide student creative reasoning in the science…

Learning to reason through organic reaction mechanisms is challenging for students because of the volume of reactions covered in introductory organic chemistry and the complexity of conceptual knowledge and reasoning skills required to develop meaningful understanding. However, understanding reaction mechanisms is valuable for students because…

Critical thinking in university studies is the cornerstone for the development of research processes at the doctoral level; it becomes the vector of this action, whose processes in the management of learning will require that the competencies understood are developed by teachers and students, for the achievement of the goals proposed by the actors…

We present an instructional approach to teaching causal inference using Bayesian networks and "do"-Calculus, which requires less prerequisite knowledge of statistics than existing approaches and can be consistently implemented in beginner to advanced levels courses. Moreover, this approach aims to address the central question in causal…

Reasoning skills have been clearly related to achievement in introductory undergraduate biology, a course with a high failure rate that may contribute to dropout of undergraduate STEM majors. Existing measures are focused on the experimental method, such as generating hypotheses, choosing a research method, how to control variables other than…

The premise of this research is that analytical and extensive reading in a digital environment might be used to facilitate second language acquisition at the tertiary education level. Despite the general orientation toward communicative methods in modern second language acquisition, reading methods and techniques have seen an unexpected yet very…

Explanations of phenomena in chemistry are grounded in discussions of particulate-level behavior, but there are limitations to focusing on single particles, or as an extension, viewing a group of particles as displaying uniform behavior. More sophisticated models of physical processes evoke considerations related to the dynamic nature of bulk…

This study examines second language (L2) learners' perspectives regarding the affordances and challenges of using the Data-Driven Learning (DDL) to identify the properties of near-synonymous words. Employing a convergent mixed-method design, this study deciphers the perceptions of 40 undergraduate L2 learners majoring in English language teaching.…

Political theory lags behind other subfields in political science in rigorously testing what helps foster critical thinking (CT). Yet some of the greatest temptations to engage in motivated reasoning can be found in normative political contexts. This study uses multiple regression analysis to explore nine semesters of data from an introductory…