Should physicists preach what they practice?

Does one need to think like a scientist to learn science? To what extent can examining the cognitive activities of scientists provide insights for developing effective pedagogical practices? The cognition and instruction literature has focused on providing a model of expert knowledge structures. To answer these questions, what is needed is a model of expert reasoning practices. This analysis is a step in that direction. It focuses on a tacit dimension of the thinking practices of expert physicists, “constructive modeling”. Drawing on studies of historical cases and protocol accounts of expert reasoning in scientific problem solving, it is argued that having expertise in physics requires facility with the practice of “constructive modeling” that includes the ability to reason with models viewed generically. Issues pertaining to why and how this practice of experts might be incorporated into teaching are explored.     

College students solving chemistry problems: A theoretical model of expertise

A model of expertise in chemistry problem solving was tested on undergraduate science majors enrolled in a chemistry course. The model was based on Anderson's Adaptive Control of Thought‐Rational (ACT‐R) theory. The model shows how conceptualization, self‐efficacy, and strategy interact and contribute to the successful solution of quantitative, well‐defined chemistry problems in the areas of stoichiometry, thermochemistry, and properties of solutions. A statistical path analysis and students' explanations supported the model and indicated that the students' problem conceptualization and chemistry self‐efficacy influenced their strategy use, which, in turn, strongly influenced their problem‐solving success. The implication of these findings for future research and developing students' expertise in chemistry problem solving is that a strategy is advantageous when it is built on a foundation of conceptual knowledge and chemistry self‐efficacy. © 2009 Wiley Periodicals, Inc. J Res Sci Teach 46: 1070–1089, 2009     

Studaxology: the expertise students need to be effective in higher education

Students in higher education have to develop two types of expertise; the first refers to the mastery they want to acquire within a well defined occupational or disciplinary domain; the second relates to the deep level learning needed to achieve that mastery as an expert student or studax. Research has indicated that in solving a problem any expert simultaneously has to draw on four types of knowledge. Where the personal organisation of these four leads to effectiveness, this brings about the quintessence of expertise - experiencing problem solving behaviour as intrinsically motivating, or rewarding in itself. This intrinsic motivation integrates experiences of competence (through declarative knowledge), causality (through procedural knowledge), creativity (through situational knowledge) and self regulation (through strategic knowledge). The same will then necessarily hold for the student who proves, by experiencing this very same effectiveness, to be the studax or deep level learner higher education needs.This paper describes a theory - studaxology - which explains to the student, on the basis of what is being experienced while studying, how to become organized as a person within the study environment, so as to succeed in the required task. Studaxology's core is a 3 × 3 matrix of study experiences, based on that number of sources of variance, empirically identified by means of factor analysis of Likert-type items in study inventories. Its central experience of intrinsic motivation brings together four pairs of complementary experiences (ability vs. difficulty, effort vs. relevance, intention vs. demand and time perspective vs. discipline), with each pair constituting a basic component of intrinsic motivation, and as such reflecting a specific form of metacognitive knowledge. Adequate interpretation and use of the 3 × 3 scores on a similar study inventory enable the studax effectively to meet deep level learning that optimal functioning in higher education demands. Factor analyses of students evaluations of lecturing behaviours can also be fitted into a 3 × 3 matrix equivalent to that of the studax. It is argued from these analyses that the essential prerequisites for achieving studaxological expertise stem from an appropriate initial vocational choice (which will help to produce an internally well-cohering 3 × 3 matrix of experiences) and are further enhanced by an equivalent matrix of lecturing behaviours designed to support students' own study experiences.     

Toward functional expertise through formal education: identifying an opportunity for higher education

In this paper, we synthesize research on the nature and development of expertise to propose a developmental model that describes four main areas of expert knowledge: procedural, conditional, and conceptual knowledge, along with knowledge generation. We propose that these types of expert knowledge map onto and promote the development of four types of expert performance: procedural, functional, adaptive, and generative expertise. Further, we propose that expertise develops in terms of a fluency dimension consisting of execution, repertoire, and automaticity. We propose that this model highlights a potential opportunity for educators and instructional designers to target the appropriate level of expertise through teaching specific knowledge types in progression and providing practice and feedback to improve fluency. At a minimum, graduates would possess a degree of functional fluency and be better able to enter the workforce. Being aware of the need, and also knowing how, to conditionalize their own knowledge should also accelerate their continued acquisition of expertise throughout their career.

     

Varying Use of Conceptual Metaphors across Levels of Expertise in Thermodynamics

Many studies have previously focused on how people with different levels of expertise solve physics problems. In early work, focus was on characterising differences between experts and novices and a key finding was the central role that propositionally expressed principles and laws play in expert, but not novice, problem-solving. A more recent line of research has focused on characterising continuity between experts and novices at the level of non-propositional knowledge structures and processes such as image-schemas, imagistic simulation and analogical reasoning. This study contributes to an emerging literature addressing the coordination of both propositional and non-propositional knowledge structures and processes in the development of expertise. Specifically, in this paper, we compare problem-solving across two levels of expertise—undergraduate students of chemistry and Ph.D. students in physical chemistry—identifying differences in how conceptual metaphors (CMs) are used (or not) to coordinate propositional and non-propositional knowledge structures in the context of solving problems on entropy. It is hypothesised that the acquisition of expertise involves learning to coordinate the use of CMs to interpret propositional (linguistic and mathematical) knowledge and apply it to specific problem situations. Moreover, we suggest that with increasing expertise, the use of CMs involves a greater degree of subjective engagement with physical entities and processes. Implications for research on learning and instructional practice are discussed.     

Essential skills for creative writing: Integrating multiple domain-specific perspectives

The aim of this work was to gather different perspectives on the “key ingredients” involved in creative writing by children – from experts of diverse disciplines, including teachers, linguists, psychologists, writers and art educators. Ultimately, we sought in the experts’ convergence or divergence insights on the relative importance of the relevant factors that may aid writing instruction, particularly for young children. We present a study using an expert knowledge elicitation method in which representatives from five domains of expertise pertaining to writing rated 28 factors (i.e., individual skills and attributes) covering six areas (general knowledge and cognition, creative cognition, conation, executive functioning, linguistic and psychomotor skills), according to their importance for creative writing. A Many-Facets Rasch Measurement (MFRM) model permitted us to quantify the relative importance of these writing factors across domain-specific expertise, while controlling for expert severity and other systematic evaluation biases. The identified similarities and domain-specific differences in the expert views offer a new basis for understanding the conceptual gaps between the scientific literature on creative writing, the writer's self-reflection on the act of writing creatively, and educators’ practices in teaching creative writing. Bridging such diverse approaches–that are, yet, relatively homogeneous within areas of expertise – appears to be useful in view of formulating process-oriented writing pedagogy that may, above all, better target the skills needed to improve children's creative writing development.     

“Sailing in Calm Waters Doesn't Teach”: constructing expertise through problems in work—the case of Finnish human resource developers

This article examines the construction of occupational expertise through problematic situations encountered during everyday work. The human‐centred and knowledge‐intensive domains of current working life, for instance human resource development (HRD), contain various problem situations which tend to be open and unstructured, lacking a single solution. Those ill‐defined problem situations characterise also HRD as a domain of expertise which requires multidisciplinary formal knowledge and, especially, the ability to make use of it. Accordingly, it is suggested that learning to be an expert in HRD can be seen as a constructive process where varied formal knowledge and previous experiences of the domain are applied, contested and transformed into new forms of practical knowledge. Thus, much of the expertise in HRD will eventually be constructed through experience in practical problem‐solving situations. Those situations and the ways in which a HR developer interprets an event and chooses and tries out resolutions can be seen as an interpretative and narrative process which influences the construction of expertise. The study presented here aimed to understand within the narrative framework the nature of problematic situations in work as an experiential resource for the construction of expertise among HR developers. Twenty experienced HR developers in various workplaces in Finland were interviewed and asked to tell about problematic situations, how they were resolved and what was learnt from the process. The interviewees’ stories exhibited the diversity of HRD as a domain of expertise. However, in sum, communication, interactivity, collaboration and the involvement of management, which are commonly presented as ideals in HRD, are in fact the primary sources of problematic situations, and thus also of new learning in the HR developer's world. On the basis of the interviewees’ stories about problems and resolutions it is concluded, firstly, that much of an HR developer's expertise seem to be constructed through promoting and acting in dialogue, and, secondly, that it can be characterised as a flexible and inclusive state of mind rather than the application of routine procedures, and that going through problematic situations bestows confidence regarding practical knowledge in future situations.     

Building the expert teacher prototype: A metasummary of teacher expertise studies in primary and secondary education

While expert teachers remain a frequent focus of research in education, to date there have been very few attempts to conduct systematic reviews of this literature. This paper presents the findings of the first systematic metasummary of research on teacher expertise in K12 education (primary/elementary and secondary levels), based on analysis of 106 empirical studies from 16 countries involving 1124 teachers identified as experts. The inductively-developed coding framework was applied independently by both authors to the dataset to generate agreement counts for specific coding themes, firstly for specific domains of teacher expertise, and then stratified to compare primary and secondary studies. We present 73 specific features organised into six domains in our expert teacher prototype. Salient findings indicate that, with regard to professional practice, expert teachers reflect extensively and often critically on their practice, help their colleagues frequently, and are continuous learners throughout their careers. Concerning knowledge, we find that expert teachers have well-developed pedagogical content knowledge and knowledge about their learners. In the domain of pedagogic practice, we observe that expert teachers display flexibility in the classroom, build strong interpersonal relationships with their learners, whom they engage through their choice of activities and content, and frequently make use of strategies typically emphasised in both constructivist and learner-centred education literatures. We offer our prototype as a useful initial sketch of family resemblance among expert teachers rather than a checklist of necessary or expected features of expertise, also cautioning that the prototype remains far from complete.     

Common features of expertise in working life: implications for higher education

ABSTRACT

We need to know what it means to be an expert in working life today. Universities are often accused of neglecting the basic idea that higher education should be relevant to working life, and research on the subject of expertise in today’s workplace is lacking. Thirteen experts from different fields were interviewed and the obtained data were analysed using grounded theory as an analytical approach. The research questions were: (1) How do experts define expertise? (2) What kind of problems persist in their work? and (3) How are ‘routine’ and ‘adaptive’ expertise performed? The results revealed that expertise is more a social and collaborative phenomenon than an individual property. Experts develop new solutions and seek constant learning in their work. They excel at spontaneous problem solving. These findings suggest that, to prepare students to become experts, deliberate learning and practice should be provided within a framework of collaborative problem solving.     

新手到专家:职业专长发展的必由之路

专家——新手这一研究思路最初应用于象棋、物理、医学等职业专长领域，以后逐渐应用于学、体育、音乐等领域。在不同的职业领域存在不同的专长。职业专长的发展是一个长期学习和实践的过程。新手与专家的职业专长发展存在差异这些差异的影响因素主要在动机、实践训练、知觉、知识经验等方面。找到这些影响因素，对于职业指导与职业培训具有重要的意义。     

Coordinating principles and examples through analogy and self-explanation

Research on expertise suggests that a critical aspect of expert understanding is knowledge of the relations between domain principles and problem features. We investigated two instructional pathways hypothesized to facilitate students’ learning of these relations when studying worked examples. The first path is through self-explaining how worked examples instantiate domain principles and the second is through analogical comparison of worked examples. We compared both of these pathways to a third instructional path where students read worked examples and solved practice problems. Students in an introductory physics class were randomly assigned to one of three worked example conditions (reading, self-explanation, or analogy) when learning about rotational kinematics and then completed a set of problem solving and conceptual tests that measured near, intermediate, and far transfer. Students in the reading and self-explanation groups performed better than the analogy group on near transfer problems solved during the learning activities. However, this problem solving advantage was short lived as all three groups performed similarly on two intermediate transfer problems given at test. On the far transfer test, the self-explanation and analogy groups performed better than the reading group. These results are consistent with the idea that self-explanation and analogical comparison can facilitate conceptual learning without decrements to problem solving skills relative to a more traditional type of instruction in a classroom setting.     

Machinery fault diagnosis expert system based on case-based reasoning

A mechinery fault diagnosis expert system based on case-based reasoning (CBR) technology was established. The process of the CBR fault diagnosis is analyzed from three main aspects: expression and memory, retrieving and matching, and modification and maintenance of a case. The results indicate that the CBR method is flexible and simple to implement, and it has strong self-studying ability. Using a large enough number of case reasoning sets, it can accumulate the experience of problem solving, avoid the difficulty of knowledge acquisition, shorten the course of solving problems, improve efficiency of reasoning, and save the time of developing.     

Tacit Knowledge in Expert Coaching: Science or Art?

Effective coaching is a mixture of pedagogy and principles of sciences, e.g., motor skill acquisition, sociology, and physiology, often referred to as the science of coaching. Instinctive or intuitive coaching has often been incorrectly viewed as the art of coaching. More important should be how coaches develop knowledge, how they access that knowledge at the appropriate times and how this affects their decision-making process. The study of expert coaches should allow inferences to be drawn from their development and applied to coach education. This article intends to clarify coaching expertise and examine the role of tacit knowledge within coaching. The lack of a clear development pathway for aspiring expert coaches is a clear indicator that the current coach education system needs review. Any effective education system should be based on knowledge and understanding rather than mimicry and the implications for the future of coach education are considered.     

Investigation of Tacit Knowledge in Principal Leadership

This study investigated how tacit knowledge was used by expert and novice principals during problem-solving situations. Through the use of a phenomenological, qualitative approach, novice principals were compared with expert principals as both went about their daily tasks of school leadership. Results of the study contribute to the research on effective leadership and offer implications for leadership training models. Results suggest that experience may not be the most critical factor in expertise.     

Yoga From the Mat Up: How words alight on bodies

Abstract

Yoga is a unique form of expert movement that promotes an increasingly subtle interpenetration of thought and movement. The mindful nature of its practice, even at expert levels, challenges the idea that thought and mind are inevitably disruptive to absorbed coping. Building on parallel phenomenological and ethnographic studies of skilful performance and embodied apprenticeship, we argue for the importance in yoga of mental access to embodied movement during skill execution by way of a case study of instruction and practice in two related traditions, Iyengar and Anusara. Sharing a pose repertoire, they are based on distinctive philosophical systems with different teaching styles and metaphoric structures. To address relations between pedagogy and practice in embodied expertise, and to investigate the reciprocal influences of embodiment and thought, we explore in detail the linguistically mediated learning context where practitioners work with yoga teachers. Here, the mind/body problem comes to practical life. We demonstrate the effects of words on bodies, as knowledge is literally incorporated. We show why interpersonal influence on our movement capacities is sometimes needed to enhance expertise. We theorize and identify ‘signature patterns of tension’ among practitioners. These patterns have four sources: ghost gestures, innate differences in bodily form, functional fusing, and signature patterns of affective experience, modulation and expression. These patterns of tension produce ‘silent zones’, cognitively impenetrable actions, functional fusing of a skilful, compensatory form, and signature patterns of pain and damage. We show how instruction can disrupt these silent zones, enhancing mental and physical flexibility.     

Common sense clarified: The role of intuitive knowledge in physics problem solving

Over the last two decades, a significant body of research has documented the nature of intuitive physics knowledge—the knowledge of the world that students bring to the learning of formal physics. However, this research has yet to document the roles played by intuitive physics knowledge in expert physics practice. In this article, I discuss three related questions: (1) What role, if any, does intuitive knowledge play in physics problem solving? (2) How does intuitive physics knowledge change in order to play that role, if at all? (3) When and how do these changes typically occur? In answer to these questions, I attempt to show that intuitive physics knowledge can play a variety of roles in expert problem solving, including some roles that are central and directly connected to equations. This research draws on observations of college students working in pairs to solve physics problems. © 2006 Wiley Periodicals, Inc. J Res Sci Teach 43: 535–555, 2006     

Understanding problem solving behavior of 6–8 graders in a debugging game

Debugging is an over-looked component in K-12 computational thinking education. Few K-12 programming environments are designed to teach debugging, and most debugging research were conducted on college-aged students. In this paper, we presented debugging exercises to 6th–8th grade students and analyzed their problem solving behaviors in a programming game – BOTS. Apart from the perspective of prior literature, we identified student behaviors in relation to problem solving stages, and correlated these behaviors with student prior programming experience and performance. We found that in our programming game, debugging required deeper understanding than writing new codes. We also found that problem solving behaviors were significantly correlated with students’ self-explanation quality, number of code edits, and prior programming experience. This study increased our understanding of younger students’ problem solving behavior, and provided actionable suggestions to the future design of debugging exercises in BOTS and similar environments.     

Identification of effective visual problem solving strategies in a complex visual domain

Students in complex visual domains must acquire visual problem solving strategies that allow them to make fast decisions and come up with good solutions to real-time problems. In this study, 31 air traffic controllers at different levels of expertise (novice, intermediate, expert) were confronted with 9 problem situations depicted on a radar screen. Participants were asked to provide the optimal order of arrival of all depicted aircrafts. Eye-movements, time-on-task, perceived mental effort, and task performance were recorded. Eye-tracking data revealed that novices use inefficient means-end visual problem solving strategies in which they primarily focus on the destination of aircraft. Higher levels of expertise yield visual problem solving strategies characterized by more efficient retrieval of relevant information and more efficient scan paths. Furthermore, experts' solutions were more similar than intermediates' solutions and intermediates' solutions were more similar than novices' solutions. Performance measures showed that experts and intermediates reached better solutions than novices, and that experts were faster and invested less mental effort than intermediates and novices. These findings may help creating eye-movement modeling examples for the teaching of visual problem solving strategies in complex visual domains.     

The Impact of Expertise on Performance: illustrations from developmental research on memory and sports 1

Research on the impact of expertise on cognitive performance mostly conducted with adult samples has yielded impressive results, documenting the outstanding role of domain knowledge for memory and problem — solving skills. In this paper, the available research on the development of expertise in children and adolescents is reviewed in order to explore the respective roles of domain knowledge and basic intellectual abilities in determining exceptional performance. Most developmental studies conducted in different fields such as memory or sport seem to validate findings obtained from adult samples in that individual differences in domain knowledge account for the lion's share of variance explained in the performance variables. However, a closer analysis of effects reveals that individual differences in aptitude cannot be ignored and seem reliable even in homogeneous (expert) samples. Thus the developmental findings do not completely support the view proposed by Ericsson and colleagues that “deliberate practice” is the only predictor of exceptional performance. Instead, “threshold” or “partial compensation” models seem more appropriate to describe the interplay between aptitude and domain knowledge in predicting peak performance