This volume explores the integration of recent research on everyday, classroom, and professional scientific thinking. It brings together an international group of researchers to present core findings from each context; discuss connections between contexts, and explore structures; technologies, and environments to facilitate the development and practice of scientific thinking. The chapters focus on: * situations from young children visiting museums, * middle-school students collaborating in classrooms, * undergraduates learning about research methods, and * professional scientists engaged in
Children often learn new problem-solving strategies by observing examples of other people's problem-solving. When children learn a new strategy through observation and also explain the new strategy to themselves, they generalize the strategy more widely than children who learn a new strategy but do not explain. We tested three hypothesized mechanisms through which explanations might facilitate strategy generalization: more accurate recall of the new strategy's procedures; increased selection of the new strategy over competing strategies; or more effective management of the new strategy's goal
Current accounts of the development of scientific reasoning focus on individual children's ability to coordinate the collection and evaluation of evidence with the creation of theories to explain the evidence. This observational study of parent–child interactions in a children's museum demonstrated that parents shape and support children's scientific thinking in everyday, nonobligatory activity. When children engaged an exhibit with parents, their exploration of evidence was observed to be longer, broader, and more focused on relevant comparisons than children who engaged the exhibit without
Interactive museum exhibits have increasingly placed replicated and virtual objects alongside exhibited authentic objects. Yet little is known about how these three categories of objects impact learning. This study of family learning in a botanical garden specifically focuses on how 12 parent-child family units used explanations as they engaged with three plant types: living, model, and virtual. Family conversations were videotaped, transcribed, and coded. Findings suggested that: 1) explanations of biological processes were more frequent than other types; 2) model and virtual plants supported
As an increasing number of robots have been designed to interact with people on a regular basis, research into human-robot interaction has become more widespread. At the same time, little work has been done on the problem of longterm human-robot interaction, in which a human uses a robot for a period of weeks or months. As people spend more time with a robot, it is expected that how they make sense of the robot - their “cognitive model” of it - may change over time. In order to identify factors that will be critical to the future development of a quantitative cognitive model of long-term human
To help answer questions about the behavior of participants in human-robot systems, we propose the Cognitive Evaluation of Human-Robot Systems (CEHRS) method based on our work with the Personal Exploration Rover (PER). The CEHRS method consists of six steps: (1) identify all system participants, (2) collect data from all participant groups, including the system’s creators, (3) analyze participant data in light of system-wide goals, (4) answer targeted questions about each participant group to determine the flow of knowledge, information, and influence throughout the system, (5) look for
Two studies examined how parent explanation changes what children learn from everyday shared scientific thinking. In Study 1, children between ages 3- and 8-years-old explored a novel task solo or with parents. Analyses of children's performance on a subsequent posttest compared three groups: children exploring with parents who spontaneously explained to them; children exploring with parents who did not explain; and children exploring solo. Children whose parents had explained were most likely to have a conceptual as opposed to procedural understanding of the task. Study 2 examined the causal
In this article, we use two studies conducted in art museum settings as a means to discuss some of the opportunities and challenges for the field of informal art education. The first study explores artmaking processes that take place in a children’s museum, highlighting the need to consider the social nature of learning in informal environments. Second, a study with families in an art museum explores art appreciation and interpretation. Taken together—the creating and the responding—these two studies are used to point out how we might trace disciplinary processes in art beyond schools into the
Historically, most efforts to improve public knowledge of science and technology have focused on improvements in K-12 schooling, although post-secondary education and informal education have also been mentioned as important factors. Currently, little empirical data exist to determine how or when to best leverage science and technology education energies and resources. This article examines a range of factors potentially contributing to adult knowledge of science and technology. Results from a telephone survey of 1,018 adult residents in greater Los Angeles, California (United States) showed
The aim of the work reported here has been to give an overview of the support that the informal sector provides for learning and engagement with science. In addressing this goal, we have taken the view that engagement with science and the learning of science occur both within and without schools. What is of interest is not who provides the experience or where it is provided but the nature and diversity of opportunities for science learning and engagement that are offered in contemporary UK society. Thus in approaching the work we have taken a systems perspective and looked at informal
Wildlife tourism experiences have the potential to positively impact tourists’ awareness, appreciation and actions in relation to the specific wildlife they encounter and the environment in general. This paper investigates the extent of such impact across multiple sites, and uses Structural Equation Modelling to identify factors that best predict positive long-term learning and environmental behaviour change outcomes. Three sets of variables were measured – visitors’ entering attributes (including pre-visit environmental orientation and motivation for the visit), salient aspects of the
Marino et al. (2010) recently published a critique of a three-year National Science Foundation—funded investigation of the impact of zoo and aquarium visits on the public's understanding of animals and their attitudes toward conservation (Falk, Heimlich, & Bronnenkant, 2008; Falk, Reinhard, Vernon, Bronnenkant, Deans, & Heimlich, 2007; Heimlich, Bronnenkant, Witgert, & Falk, 2004). This critique of that critique will show that Marino et al. seriously misrepresent both the intent of the research and the methods used. The methods used by Falk and his colleagues were consistent with current