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Table 2 Epistemic features of science and engineering (based on Couso & Simarro, 2020)

From: Engineering practices as a framework for STEM education: a proposal based on epistemic nuances

Epistemic feature

Description

Science

Engineering

Aim

Main purpose of the discipline

Construct reliable explanations of natural phenomena

Construct of human-made optimal solutions

Spheres of Activity

Main areas of activity or fields of action of the discipline carried out to pursue its aim

Inquiry, argumentation and modelling

Creation, evaluation and realization

Forms of Knowledge

Types of products generated by and used for the activities of the discipline to answer the discipline's aim

Theories, laws, models, etc

Technologies, processes, etc

Values and Quality Criteria

Epistemic objectives of the discipline that ensure its value and quality

Accuracy, objectivity, universality, theoretical consistency, coherence, simplicity, empirical adequacy, validity and reliability

Practical success of a technical solution: applicability, reliability, effectiveness and efficiency

Methodological Rules

Main rules that guide the way activities are done and knowledge is generated and used within the discipline

Hypothesis should be testable (theoretically or with real experiments)

There has to be convergence of a variety of evidence supporting a claim

Solutions should be testable (no room for idealization)

Solutions need to be comparable in terms of applicability, efficiency and efficacy