Expert and novice performance in solving physics problems

Teaching and physics education research: bridging the gap

Physics faculty, experts in evidence-based research, often rely on anecdotal experience to guide their teaching practices. Adoption of research-based instructional strategies is surprisingly low, despite the large body of physics education research (PER) and strong dissemination effort of PER researchers and innovators. Evidence-based PER has validated specific non-traditional teaching practices, but many faculty raise valuable concerns toward their applicability. We address these concerns and identify future studies required to overcome the gap between research and practice.

Tool use as distributed cognition: how tools help, hinder and define manual skill

Our thesis in this paper is that, in order to appreciate the interplay between cognitive (goal-directed) and physical performance in tool use, it is necessary to determine the role that representations play in the use of tools. We argue that rather being solely a matter of internal (mental) representation, tool use makes use of the external representations that define the human–environment–tool–object system. This requires the notion of Distributed Cognition to encompass not simply the manner in which artifacts represent concepts but also how they represent praxis. Our argument is that this can be extended to include how artifacts-in-context afford use and how this response to affordances constitutes a particular form of skilled performance. By artifacts-in-context, we do not mean solely the affordances offered by the physical dimensions of a tool but also the interaction between the tool and the object that it is being used on. From this, “affordance” does not simply relate to the physical appearance of the tool but anticipates subsequent actions by the user directed towards the goal of changing the state of the object and this is best understood in terms of the “complimentarity” in the system. This assertion raises two challenges which are explored in this paper. The first is to distinguish “affordance” from the adaptation that one might expect to see in descriptions of motor control; when we speak of “affordance” as a form of anticipation, don’t we just mean the ability to adjust movements in response to physical demands? The second is to distinguish “affordance” from a schema of the tool; when we talk about anticipation, don’t we just mean the ability to call on a schema representing a “recipe” for using that tool for that task? This question of representation, specifically what knowledge needs to be represented in tool use, is central to this paper.

Diagnostic Reasoning and Decision Making in the Context of Health Information Technology

Diagnostic reasoning and medical decision making have been focal areas of research in the fields of medical education, cognition, and artificial intelligence in medicine. Drawing on several decades worth of research, we propose an integrated summary of prior research on diagnostic reasoning and decision making—in terms of both historical development and theoretical shifts. We also characterize the changes in research and theory resulting from the incorporation and adoption of health information technology in the clinical work place. In this paper, we differentiate between the various forms of diagnostic reasoning and trace the evolution of the various models of reasoning, including knowledge-based, exemplar-based, and visual strategies. We also discuss the effect of clinical expertise on reasoning processes. Within the medical decision-making research, we delineate the various approaches highlighting decision-making errors that arise due to the nature of heuristics and biases and other factors. Although there has been significant progress in our understanding, there is still a need for greater theoretical integration of disparate empirical phenomena. Specifically, there is a need to reconcile the various characterizations of reasoning and to evaluate the similarity and differences in the context of current health care practice. Finally, we discuss the role of human factors research in the study of clinical environments and also in relation to devising approaches and methodologies for understanding, evaluating, and supporting the diagnostic reasoning and decision processes.

Communicating science in politicized environments

Many members of the scientific community attempt to convey information to policymakers and the public. Much of this information is ignored or misinterpreted. This article describes why these outcomes occur and how science communicators can achieve better outcomes. The article focuses on two challenges associated with communicating scientific information to such audiences. One challenge is that people have less capacity to pay attention to scientific presentations than many communicators anticipate. A second challenge is that people in politicized environments often make different choices about whom to believe than do people in other settings. Together, these challenges cause policymakers and the public to be less responsive to scientific information than many communicators desire. Research on attention and source credibility can help science communicators better adapt to these challenges. Attention research clarifies when, and to what type of stimuli, people do (and do not) pay attention. Source credibility research clarifies the conditions under which an audience will believe scientists' descriptions of phenomena rather than the descriptions of less-valid sources. Such research can help communicators stay true to their science while making their findings more memorable and more believable to more audiences.

The impact of domain knowledge on structured data collection and templated note design

OBJECTIVE

The objective of this case report is to evaluate the importance of specialized domain knowledge when designing and using structured templated notes in a clinical environment.

METHODS

To analyze the impact of specialization on structured note generation we compared notes generated for three scenarios: 1) We compared the templated history of present illness (HPI) for patients presenting with a dermatology concern to the dermatologist versus the emergency department. 2) We compared the evaluation of chest pain by ED physicians versus cardiologists. 3) Finally, we compared the data elements asked for in the evaluation of the gastrointestinal system between cardiologists and the liver transplant service (LTS). We used the SNOMED CT representation via BioPortal to evaluate specificity and grouping between data elements and specialized physician groups.

RESULTS

We found few similarities in structured data elements designed by and for the specific physician groups. The distinctness represented both differences in granularity as well as fundamental differences in data elements requested. When compared to ED physicians, dermatologists had different and more granular elements while cardiologists requested much more granular data. Comparing cardiologists and LTS, there were differences in the data elements requested.

CONCLUSION

This case study supports the importance of domain knowledge in EHR design and implementation. That different specialities should want and use different information is well supported by cognitive science literature. Despite this, it is rare for domain knowledge to be considered in EHR implementation. Physicians with correct domain knowledge should be involved in the design process of templated notes.

How can we improve problem solving in undergraduate biology? Applying lessons from 30 years of physics education research

If students are to successfully grapple with authentic, complex biological problems as scientists and citizens, they need practice solving such problems during their undergraduate years. Physics education researchers have investigated student problem solving for the past three decades. Although physics and biology problems differ in structure and content, the instructional purposes align closely: explaining patterns and processes in the natural world and making predictions about physical and biological systems. In this paper, we discuss how research-supported approaches developed by physics education researchers can be adopted by biologists to enhance student problem-solving skills. First, we compare the problems that biology students are typically asked to solve with authentic, complex problems. We then describe the development of research-validated physics curricula emphasizing process skills in problem solving. We show that solving authentic, complex biology problems requires many of the same skills that practicing physicists and biologists use in representing problems, seeking relationships, making predictions, and verifying or checking solutions. We assert that acquiring these skills can help biology students become competent problem solvers. Finally, we propose how biology scholars can apply lessons from physics education in their classrooms and inspire new studies in biology education research.

Behavioral strategy: a foundational view

Purpose

The purpose of this paper is to apply the cognitive research of Herbert Simon to business strategy decisions, to begin a discussion of the emerging field of Behavioral Strategy.

Design/methodology/approach

Research on cognition, memory and expertise are organized, with the aim of enlightening the process of business strategy development.

Findings

The authors select four insights from Simon's work to form an integrative framework of decision making and apply this to illuminate existing approaches to schools of strategy thought and practice.

Research limitations/implications

This paper should lead to research on how to advance the process of solving strategic problems, in both practice and theory. The most important limitation is that much additional research lies ahead, as this is a foundational view.

Originality/value

This paper is the first to recognize the potential for application of Simon's cognitive research to the practice of strategic decisions.

The effect of conceptual and contextual familiarity on transfer performance

Applying a previously learned concept to a novel problem is an important but difficult process called transfer. It is suggested that a commonsense analogy aids in transfer by linking novel concepts to familiar ones. How the context of practice affects transfer when learning using analogies is still unclear. This study investigated the effect of a commonsense analogy and context familiarity for transfer of physiological concepts. First year psychology students (n = 24) learned three concepts: Starling's law, Laplace's law, and laminar-turbulent flow. The control group saw standard explanations while the intervention group saw an additional commonsense analogy. The context of learning was the organ system used for two practice clinical cases which differed for all concepts. Testing consisted of 12 new clinical cases. Starling's law cases used the organ system from practice while the other concepts presented in both novel and familiar organ systems. Half of the sample repeated testing after 1 week delay. The outcome was ratings of explanations of cases on a 0-3 scale. The effect of analogy was significant (Mean = 1.24 with, 0.86 without, F(1,22) = 4.26, p < 0.05) but not after delay (means of 1.08 and 0.75 respectively, F = (1,10), p = 0.06) There was significant effect for familiar context (Same = 1.23 (Starling), different = 0.68 (Laplace) and 0.73 (laminar-turbulent flow) (F(2,44) = 5.14, p < 0.01). Laplace's law and laminar turbulent flow cases in the familiar organ system had means of 1.65 and 1.77 respectively compared to novel cases with means of 0.74 and 0.68 (F(1,22) = 35.64, p < 0.0001). Similar effects were observed after delay. There was significant decay in performance after delay for all participants (immediate = 1.17, delayed = 0.91, F = 11.9 (1,10) p < 0.01). Common analogies aid conceptual understanding necessary for transfer. Despite conceptual aids, solving transfer problems is difficult.

Behavior analytic studies of creativity: A critical review

Studies that treat creativity as operant behavior were critically reviewed. Of the twenty studies, most met minimal requirements for methodological adequacy; all provided at least some evidence for increased creative responding. Major difficulties involved potential confounds between instructions and contingencies, lack of an independent record of the training interaction, lack of social validation data, and very limited evidence for generalization. Several issues were discussed: problems in the behavioral definition of creativity, objections to the use of contingent reinforcement, and the need for empirical analysis of the creative process.

Complementary therapy systems and their integrative evaluation

Complementary and alternative medicine (CAM) is becoming an integral part of modern medicine. Complementary and alternative medicine therapy systems include natural medicinal products, nonpharmacological treatments, and counselling on health and lifestyle issues. Complementary and alternative medicine concepts are often elaborate, transcending biophysical models and employing the principles of salutogenesis. Evaluations of CAM therapy systems need to be integrative and cover the dimensions of: (1) therapeutic professionalism; (2) patient perspective and public demand; (3) conceptuality; (4) safety, effectiveness, and costs. Complex research strategies are required, which reverse the phases of conventional drug assessment. The predominant use of randomized trials would introduce structural bias and create an artificial picture. Important are evaluations of the whole system in real-world conditions, and surveys on component evaluations. Systemic CAM assessments should consist of a broad array of high-quality research methods: well-conducted randomized and nonrandomized studies, cohort studies, qualitative research, high-quality case reports and case series, studies on patient perspective, safety analyses, economic analyses, etc. Good clinical judgement, a core epistemic element of medicine based on nonstochastic principles, should also be integrated and could reflect routine patient care.

A Hypothesis about the Biological Basis of Expert Intuition

It is well established that intuition plays an important role in experts’ decision making and thinking generally. However, the theories that have been developed at the cognitive level have limits in their explanatory power and lack detailed explanation of the underlying biological mechanisms. In this paper, we bridge this gap by proposing that Hebb's (1949) concept of cell assembly is the biological realization of Simon's (1974) concept of chunking. This view provides mechanisms at the biological level that are consistent with both biological and psychological findings. To further address the limits of previous theories, we introduce emotions as a component of intuition by showing how they modulate the perception-memory interaction. The idea that intuition lies at the crossroads between perception, knowledge, and emotional modulation sheds new light on the phenomena of expertise and intuition.

Clinical judgement and the medical profession

OBJECTIVES

Clinical judgment is a central element of the medical profession, essential for the performance of the doctor, and potentially generating information also for other clinicians and for scientists and health care managers. The recently renewed interest in clinical judgement is primarily engaged with its role in communication, diagnosis and decision making. Beyond this issue, the present article highlights the interrelations between clinical judgement, therapy assessment and medical professionalism.

METHODS

Literature review and theory development.

RESULTS

The article presents different methodological approaches to causality assessment in clinical studies and in clinical judgement, and offers criteria for clinical single case causality. The article outlines models of medical professionalism such as technical rationality and practice epistemology, and characterizes features of professional expertise such as tacit knowledge, reflection in action, and gestalt cognition.

CONCLUSIONS

Consequences of a methodological and logistical advancement of clinical judgment are discussed, both in regard to medical progress and to the renewal of the cognitive basis of the medical profession.

Sherlock Holmes - an expert's view of expertise

In recent years, there has been an intense research effort to understand the cognitive processes and structures underlying expert behaviour. Work in different fields, including scientific domains, sports, games and mnemonics, has shown that there are vast differences in perceptual abilities between experts and novices, and that these differences may underpin other cognitive differences in learning, memory and problem solving. In this article, we evaluate the progress made in the last years through the eyes of an outstanding, albeit fictional, expert: Sherlock Holmes. We first use the Sherlock Holmes character to illustrate expert processes as described by current research and theories. In particular, the role of perception, as well as the nature and influence of expert knowledge, are all present in the description of Conan Doyle's hero. In the second part of the article, we discuss a number of issues that current research on expertise has barely addressed. These gaps include, for example, several forms of reasoning, the influence of emotions on cognition, and the effect of age on experts' knowledge and cognitive processes. Thus, although nearly 120-year-old, Conan Doyle's books show remarkable illustrations of expert behaviour, including the coverage of themes that have mostly been overlooked by current research.

Herbert Simon's Decision-Making Approach: Investigation of Cognitive Processes in Experts

Herbert Simon's research endeavor aimed to understand the processes that participate in human decision making. However, despite his effort to investigate this question, his work did not have the impact in the “decision making” community that it had in other fields. His rejection of the assumption of perfect rationality, made in mainstream economics, led him to develop the concept of bounded rationality. Simon's approach also emphasized the limitations of the cognitive system, the change of processes due to expertise, and the direct empirical study of cognitive processes involved in decision making. In this article, we argue that his subsequent research program in problem solving and expertise offered critical tools for studying decision-making processes that took into account his original notion of bounded rationality. Unfortunately, these tools were ignored by the main research paradigms in decision making, such as Tversky and Kahneman's biased rationality approach (also known as the heuristics and biases approach) and the ecological approach advanced by Gigerenzer and others. We make a proposal of how to integrate Simon's approach with the main current approaches to decision making. We argue that this would lead to better models of decision making that are more generalizable, have higher ecological validity, include specification of cognitive processes, and provide a better understanding of the interaction between the characteristics of the cognitive system and the contingencies of the environment.

Mathematics and science learning: a new conception

Findings in cognitive science suggest new approaches to teaching in science and mathematics.

Design principles for problem-driven learning laboratories in biomedical engineering education

This article presents a translational model of curricular design in which findings from investigating learning in university BME research laboratories (in vivo sites) are translated into design principles for educational laboratories (in vitro sites). Using these principles, an undergraduate systems physiology lab class was redesigned and then evaluated in a comparative study. Learning outcomes in a control section that utilized a technique-driven approach were compared to those found in an experimental class that embraced a problem-driven approach. Students in the experimental section demonstrated increased learning gains even when they were tasked with solving complex, ill structured problems on the bench top. The findings suggest the need for the development of new, more authentic models of learning that better approximate practices from industry and academia.