Abstract

Abstract Evaluating the relation between evidence and theory should be a central activity for science learners. Evaluation comprises both hypothetico‐deductive analysis, where theory precedes evidence, and inductive synthesis, where theory emerges from evidence. There is mounting evidence that induction is an especially good way to help learners grasp the deep structure (i.e., underlying principles) of phenomena. However, compared to the clear falsification logic of hypothetico‐deductive analysis, a major challenge for induction is structuring the process to be systematic and effective. To address this challenge, we draw on Sir Francis Bacon's original treatise on inductive science. In a pair of experiments, college students used a computer simulation to learn about Faraday's law. In the inductive conditions, students sought a general explanation for several cases organized according to Bacon's tenets. In contrast, other students used a more hypothetico‐deductive approach of sequentially testing (and revising) their hypotheses using the simulation. The inductive activity led to superior learning of a target principle measured by in‐task explanations and posttests of near transfer and mathematical understanding. The results provide two important pieces of information. The first is that inductive activities organized by Bacon's tenets help students find the deep structure of empirical phenomena. The second is that, without an inductive “push,” students tend to treat instances separately and fail to search for their underlying commonalities. © 2014 Wiley Periodicals, Inc. J Res Sci Teach 52: 58–83, 2015

Keywords

Inductive reasoningGRASPLogical reasoningTransfer of trainingMathematics educationTest (biology)EpistemologyPsychologyTask (project management)Process (computing)Philosophy of scienceCognitive scienceConcept learningScience educationStructuringLearning theoryRelation (database)Computer scienceCognitive psychologyArtificial intelligencePhilosophy

Affiliated Institutions

Related Publications

Qualitative Analysis: Practice and Innovation

Offering a detailed introduction to the practice of data analysis, this book is both user-friendly and theoretically grounded. Drawing on his extensive experience of qualitative...

2002 eCite Digital Repository (University ... 1732 citations

Publication Info

Year
2014
Type
article
Volume
52
Issue
1
Pages
58-83
Citations
85
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

85
OpenAlex

Cite This

Jonathan T. Shemwell, Catherine C. Chase, Daniel L. Schwartz (2014). Seeking the general explanation: A test of inductive activities for learning and transfer. Journal of Research in Science Teaching , 52 (1) , 58-83. https://doi.org/10.1002/tea.21185

Identifiers

DOI
10.1002/tea.21185