This work presents the intelligent tutoring system, EvoLogic, developed to assist students in problems of natural production in propositional logic. EvoLogic has been modeled as a multiagent system composed of three autonomous agents: interface, pedagogical and specialist agents. It supports pedagogical strategies inspired by the theory of…

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,"…

The effect of symbolic form model on students' interest in logic content of the mathematics curriculum was investigated in this study. The research was guided by three research questions and three hypotheses. The study used a quasi-experimental design. The population of this research was 2,342 SS2 learners in Enugu State, Nigeria. A sample of 172…

Analogies and modelling have been developed and applied in learning and teaching science to facilitate students' understanding of abstract concepts, such as atomic structure. Considering few studies focus on comparing the effects of two teaching strategies--analogy-based teaching (ABT) and modelling-based teaching (MBT)--this study aims to compare…

The reaction rate and rate law are chemical kinetics concepts that undergraduate students have difficulty understanding and applying in real life. A further challenge is the overall reaction rate of consecutive reactions. Herein we present a creative teaching practice using the analogy-based approach to exploit the similarities between the…

Teaching modeling in computer science is complicated. Many factors contribute, and are related in diverse ways. We regard some combinations as more successful than others, but we also value diversity, and we struggle to elucidate the relationships and our value structure. Similar remarks apply to the study of biological ecosystems. This…

Teaching students to use critical thinking skills is a popular goal of many economics courses. But what does "critical thinking" really mean, and how is it implemented? This article considers various interpretations of "critical thinking" and distinguishes "big-think" from "little-think" critical thinking,…

In this study, we propose an 'Approach to Modeling' (AtM) framework for examining how undergraduates approach tasks that require modelling scientific phenomena. Our framework is adapted from Approach to Learning (AtL) theories and consists of three observable behavioural constructs: metacognition, generative thinking, and causal reasoning. Twenty…

Preliminary empirical research conducted by the leading author has shown that design students using biological analogies, or models across different contexts, often misinterpreted these, intentionally or unintentionally, during design. By copying shape or form without integrating the main function of the mimicked biological model, students failed…

Building scientific arguments is a central ability for all scientists regardless of their specific domain. In organic chemistry, building arguments is a necessary skill to estimate reaction processes in consideration of the reactivities of reaction centres or the chemical and physical properties. Moreover, building arguments for multiple reaction…

Purpose: Analogical reasoning has been studied using a variety of tasks that generally required consideration of the relationship between the object and its integration to conclude an analog schema. The aim of this study was to describe the model of analogical reasoning schema based on some analogical problems. Research Method: In this study used…

The objective of this article is to describe types of mathematical reasoning evidenced by a middle school mathematics teacher, when answering two generalization questions in a figural pattern generalization task, related to quadratic sequences. Reasoning is delimited from teacher's arguments, reconstructed from a theoretical-methodological…

The aim of this study is to develop a descriptive phase model for problem-posing activities based on structured situations. For this purpose, 36 task-based interviews with pre-service primary and secondary mathematics teachers working in pairs who were given two structured problem-posing situations were conducted. Through an inductive-deductive…

This research examined theory based teaching processes of science teachers to understand the mechanism by which theory and practice were connected. Four science teachers desgined lesson plans by applying the empirical-abductive learning cycle (EALC) model and modified lesson plans through a collaborative interview with the researcher. Data were…

The main goal of this research is to study the effect of modelling with system dynamics on learning. Specifically, this research studies if using inductive or deductive learning methods applied during modelling with system dynamics has any effect on problem solving skills of students. This research has three other goals: Firstly, the successful…