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Thinking fast and slow and science education

Dimitrios Gousopoulos

arXiv:2402.05497v1physics.ed-ph

TL;DR

Students may have the knowledge and skills needed for science problems yet fail to apply them consistently when intuitive answers prevail. This paper examines heuristics and the interplay of intuitive and analytical thought to identify mechanisms behind these inconsistencies. It concludes that multiple heuristics can work together and calls for further research to inform curricula that help students recognize and avoid them.

Abstract

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In recent years there has been growing evidence that even after teaching designed to address the learning difficulties dictated by literature, many physics learners fail to create the proper reasoning chains that connect the fundamental principles and lead to reasoned predictions. Even though students have the required knowledge and skills, they are often based on a variety of intuitive reasoning that leads them to wrong conclusions. This paper studies students' reasoning on science problems through heuristic - analytical thought processes (System 1 - System 2). System 1 operates automatically and quickly with little or no effort and no sense of voluntary control, while System 2 focuses on the demanding mental activities that require it and is slow based on rules.

Abstact

The abstract’s keywords identify the paper’s focus on science education, heuristics, and students’ difficulties in science.

  • The listed topic is science education.Source: Abstact · p. 1
  • Heuristics and System 1 and System 2 are named as key concepts.Source: Abstact · p. 1
  • The keywords frame the work around investigating students’ difficulties in science.Source: Abstact · p. 1

Εισαγωγή

Students can struggle to form scientifically sound reasoning chains despite having relevant knowledge and skills; the paper situates this problem within research on intuitive thought and notes a gap in identifying its mechanisms.

Εισαγωγή

  • Students may fail to connect fundamental principles into appropriate reasoning paths and can produce superficial answers, even when they possess the required knowledge and skills (Meltzer & Thornton, 2012; Kryjevskaia et al., 2012).The passage also notes that targeted instruction has not significantly improved performance in many contexts and that students may rely on intuition, leading to wrong answers (Kryjevskaia et al., 2014).Source: Εισαγωγή · pp. 1–2
  • Prior studies have examined student heuristics in chemistry and intuitive thinking about physics topics such as force and buoyancy (McClary & Talanquer, 2011 ; Talanquer, 2014; Wood et al., 2016; Gette et al., 2018).Source: Εισαγωγή · p. 2
  • Educational research identifying the mechanisms behind observed student thought patterns remains scarce, despite cognitive scientists’ models of thought and decision-making.Source: Εισαγωγή · p. 2

Περί των δύο συστημάτων του νου

The section uses the two-systems account to explain how intuitive mental models and heuristics can shape students’ reasoning, sometimes without rigorous analytical checking.

Περί των δύο συστημάτων του νου

  • System 1 quickly forms an initial mental model from prior knowledge and relevant cues; System 2 may scrutinize it, but confidence in the first model can let it become the final answer without that review.The account describes one model at a time (singularity principle) and models shaped by knowledge and beliefs compatible with current goals (relevance principle).Source: Περί των δύο συστημάτων του νου · p. 3
  • Even when System 2 engages, confirmation-seeking and failure to consider alternatives can leave the intuitive first answer intact (Frankish,2010; Johnson-Laird,2006; Tversky & Kahneman,1973; Thompson, Turner & Pennycook,2011; Thompson, Evans & Campbell,2018).The passage cautions that analytical engagement does not guarantee detection of flawed reasoning.Source: Περί των δύο συστημάτων του νου · p. 4
  • Heuristics simplify decisions by reducing the information considered or guiding information search and stopping (Gilovich, Griffin & Kahneman,2002; Kahneman ,2011; Shah & Oppenheimer,2002).Source: Περί των δύο συστημάτων του νου · p. 4
  • Salient or easily processed cues can outweigh less accessible information, as when a pendulum’s visible mass difference suggests—incorrectly—that mass determines its period.The passage distinguishes processing speed from availability, the likelihood that information comes to mind.Source: Περί των δύο συστημάτων του νου · p. 5
  • Substitution lets students answer an easier related question instead of the target, such as treating a projectile-distance question as a range question.The section also describes associative weighting, which can foreground activated cues and neglect weaker ones (Morewedge & Kahneman,2010).Source: Περί των δύο συστημάτων του νου · pp. 5–6
  • Other shortcuts include focusing on one variable, treating superficially similar systems as alike, and favoring familiar information as an anchor (Todd & Gigerenzer,2000; Goldstein & Gigerenzer,2002; Read & Grushka‐Cockayne,2011).Examples include neglecting mass when comparing kinetic energy, overlooking the medium when comparing wave speeds, and treating oscillators with and without friction as equivalent.Source: Περί των δύο συστημάτων του νου · pp. 6–7

Επίλογος

The conclusion links inconsistent application of science knowledge to strong intuitive responses and calls for further research on the heuristics involved in problem solving.

Επίλογος

  • Students with appropriate science knowledge and skills may still apply them inconsistently and reach scientifically incorrect conclusions when questions elicit strong intuitive responses.Source: Επίλογος · p. 7
  • The study aims to identify cognitive mechanisms behind these inconsistencies and concludes that multiple heuristics can operate together during problem solving.Their interconnection makes targeted strategies to avoid cognitive biases difficult to propose.Source: Επίλογος · p. 7
  • The conclusion calls for further research on how heuristics are used in science problem solving to inform curricula that help students recognize and avoid them.The stated potential benefits include science performance and decisions in life.Source: Επίλογος · p. 7

Βιβλιογραφική Αναφορά

The bibliography brings together dual-process reasoning theory, studies of physics students’ reasoning, and broader work on heuristics, judgment, and science instruction.

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