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Mukumbang, Ferdinand C. – Journal of Mixed Methods Research, 2023
Mixed methods studies in social sciences are predominantly employed to explore broad, complex, and multifaceted issues and to evaluate policies and interventions. The integration of qualitative and quantitative methods in social sciences most often follows the Peircean pragmatic approach--abductive hypothesis formation followed by deductive and…
Descriptors: Mixed Methods Research, Social Science Research, Inferences, Epistemology
Uegatani, Yusuke; Otani, Hiroki – Mathematics Education Research Journal, 2021
The purpose of this paper is to propose a new ontology of reasons for inferentialism. The existing inferentialist approach to mathematics education has a methodological challenge in retrospective analysis and a noncollaborative issue stems from a narrow view of learning. The proposed ontology, built on a radical interpretation of the…
Descriptors: Mathematics Education, Inferences, Observation, Logical Thinking
Gray, Maureen E.; Holyoak, Keith J. – Mind, Brain, and Education, 2021
Analogy is a powerful tool for fostering conceptual understanding and transfer in STEM and other fields. Well-constructed analogical comparisons focus attention on the causal-relational structure of STEM concepts, and provide a powerful capability to draw inferences based on a well-understood source domain that can be applied to a novel target…
Descriptors: Logical Thinking, Instructional Effectiveness, Theory Practice Relationship, STEM Education
Paul Ferguson, Joseph; Prain, Vaughan – Educational Philosophy and Theory, 2020
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…
Descriptors: Classroom Techniques, Creativity, Thinking Skills, Scientific Research
Lu, Yonggang; Zheng, Qiujie; Quinn, Daniel – Journal of Statistics and Data Science Education, 2023
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…
Descriptors: Bayesian Statistics, Learning Motivation, Calculus, Advanced Courses
Rahman, Md. Mehadi – Online Submission, 2019
Only knowledge is not sufficient to make students succeed in the world. Students need to attain 21st century skills like problem-solving, creativity, innovation, metacognition, communication etc. to endure in the modern world. Problem-solving skill is one of the fundamental human cognitive processes. Whenever students face a situation where they…
Descriptors: Critical Thinking, Logical Thinking, 21st Century Skills, Problem Solving
Khemlani, Sangeet S.; Byrne, Ruth M. J.; Johnson-Laird, Philip N. – Cognitive Science, 2018
This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals ("if") and disjunctions ("or"), unlike those in logic, refer to conjunctions of epistemic…
Descriptors: Form Classes (Languages), Schemata (Cognition), Inferences, Prediction
Dorner, Meredith – American Biology Teacher, 2015
Research shows the importance of active learning, especially within science classes. One way to achieve this goal is to incorporate student-driven projects into the course (e.g., posters). Traditionally, science-poster assignments follow the spirit of the science fair in which a student conducts an experiment and analyzes the results. This article…
Descriptors: Student Projects, Science Activities, Scientific Concepts, Scientific Methodology
Sun, Shuyan; Pan, Wei – Educational Psychology Review, 2011
From the perspectives of the philosophy of science and statistical inference, we discuss the challenges of making prescriptive statements in quantitative research articles. We first consider the prescriptive nature of educational research and argue that prescriptive statements are a necessity in educational research. The logic of deduction,…
Descriptors: Evidence, Educational Research, Logical Thinking, Bayesian Statistics
Funnell, Sue C.; Rogers, Patricia J. – Jossey-Bass, An Imprint of Wiley, 2011
Between good intentions and great results lies a program theory--not just a list of tasks but a vision of what needs to happen, and how. Now widely used in government and not-for-profit organizations, program theory provides a coherent picture of how change occurs and how to improve performance. "Purposeful Program Theory" shows how to develop,…
Descriptors: Models, Logical Thinking, Evaluation Methods, Program Evaluation
Piantadosi, Steven T.; Tenenbaum, Joshua B.; Goodman, Noah D. – Cognition, 2012
In acquiring number words, children exhibit a qualitative leap in which they transition from understanding a few number words, to possessing a rich system of interrelated numerical concepts. We present a computational framework for understanding this inductive leap as the consequence of statistical inference over a sufficiently powerful…
Descriptors: Statistical Inference, Number Concepts, Models, Computation
Kemp, Charles; Tenenbaum, Joshua B. – Psychological Review, 2009
Everyday inductive inferences are often guided by rich background knowledge. Formal models of induction should aim to incorporate this knowledge and should explain how different kinds of knowledge lead to the distinctive patterns of reasoning found in different inductive contexts. This article presents a Bayesian framework that attempts to meet…
Descriptors: Logical Thinking, Inferences, Statistical Inference, Models
Pedemonte, Bettina; Reid, David – Educational Studies in Mathematics, 2011
This paper offers a typology of forms and uses of abduction that can be exploited to better analyze abduction in proving processes. Based on the work of Peirce and Eco, we describe different kinds of abductions that occur in students' mathematical activity and extend Toulmin's model of an argument as a methodological tool to describe students'…
Descriptors: Mathematics Instruction, Inferences, Logical Thinking, Models
Jensen, Jennifer L. – Mathematics Teacher, 2013
If students are going to develop reasoning and thinking skills, use their mathematical knowledge, and recognize the relevance of mathematics in their lives, they need to experience mathematics in meaningful ways. Only then will their mathematical skills be transferrable to all other parts of their lives. To promote such flexible mathematical…
Descriptors: Consultants, Mathematics Education, Student Projects, Algebra
Newcombe, Nora S. – Mind, Brain, and Education, 2013
There is an increasing emphasis on evidence-based education, and the sciences of learning are progressing rapidly. But are reports, guidelines, and outreach enough to disseminate this knowledge and affect educational practice? In fact, policy makers and the public often resist evidence-based recommendations about education. This article suggests…
Descriptors: Evidence, Educational Practices, Educational Change, Evaluation Utilization