Books on the topic 'Exhibit learning'

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1

Chafe, Anne Elizabeth. Exhibit development for learning effectiveness: The cyclical model. [Toronto: University of Toronto], 1987.

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2

1947-, Durbin Gail, ed. Developing museum exhibitions for lifelong learning. London: The Stationery Office, 1996.

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3

What makes learning fun?: Principles for the design of intrinsically motivating museum exhibits. Lanham, Md: AltaMira Press, 2011.

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4

Falk, John H. Learning from museums: Visitor experiences and the making of meaning. Walnut Creek, CA: AltaMira Press, 2000.

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5

Museums and the interpretation of visual culture. London: Routledge, 2000.

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6

Weston, Clive Roland. The role of attributions and emotions in explaining the behavioural responses of carers to aggressive behaviour exhibited by people with learning disabilities. Birmingham: University of Birmingham, 1997.

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7

Weston, Clive Roland. The role of attributions and emotions in explaining the behavioural responses of carers to aggressive behaviour exhibited by people with learning disabilities. Birmingham: University of Birmingham, 1997.

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8

Henry, Adam Douglas. Network Segregation and Policy Learning. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.23.

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Learning is an important concept in the study of public policy and covers a range of actions where evidence is used to shape and improve decisions, including using science to inform responses to problems; adjusting policy based on successes and failures; and forming new beliefs about salient issues, their causes, and appropriate solutions. Network concepts are central to theoretical treatments of learning. Three assumptions are often made about networks and their role in learning processes: (1) most policy networks exhibit segregation, in the sense that network ties tend to exist among actors with shared traits, such as belief systems or institutional affiliations; (2) segregated networks inhibit policy learning; and (3) network segregation is a result of homophily. This chapter reviews the rich literature underlying each of these propositions and shows that the relationships between networks and learning are more complex than often assumed.
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9

United States Holocaust Memorial Council, ed. The National Learning Center presents "Remember the children": An exhibit for children about the Holocaust : Capital Children's Museum, 800 Third Street, N.E., Washington, D.C. [Washington, D.C.?: U.S. Holocaust Memorial Council, 1988.

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10

Capape, Javier, Ruth Aguilera, and Javier Santiso. Spain and Sovereign Wealth Funds. Edited by Douglas Cumming, Geoffrey Wood, Igor Filatotchev, and Juliane Reinecke. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198754800.013.8.

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During the last decade, Spain has become a sovereign wealth fund (SWF) investment destination. This chapter begins by outlining the factors that have led SWFs to Spain. Second, it discusses the different corporate strategies that SWFs exhibit when investing in Spanish companies. It examines these investments in the context of an existing typology of four different strategic governance approaches: corporate governance supervision, in-house capabilities enhancement, international recognition and developmental and learning goals. It then shows how these four strategies are effectively implemented drawing on four investment SWF cases in Spain. The chapter concludes by proposing four new areas of fruitful research on SWFs in fields such as economics, management and international business.
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11

Bongard, Josh. Modeling self and others. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0011.

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Embodied cognition is the view that intelligence arises out of the interaction between an agent’s body and its environment. Taking such a view generates novel scientific hypotheses about biological intelligence and opportunities for advancing artificial intelligence. In this chapter we review one such set of hypotheses regarding how a robot may generate models of self, and others, and then exploit those models to recover from damage or exhibit the rudiments of social cognition. This modeling of self and others draws mainly on three concepts from neuroscience and AI: forward and inverse models in the brain, the neuronal replicator hypothesis, and the brain as a hierarchical prediction machine. The chapter concludes with future directions, including the integration of deep learning methods with embodied cognition.
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12

Kockelman, Paul. Algorithms, Agents, and Ontologies. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190636531.003.0007.

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This chapter details the inner workings of spam filters, algorithmic devices that separate desirable messages from undesirable messages. It argues that such filters are a particularly important kind of sieve insofar as they readily exhibit key features of sieving devices in general, and algorithmic sieving in particular. More broadly, it describes the relation between ontology (assumptions that drive interpretations) and inference (interpretations that alter assumptions) as it plays out in the classification and transformation of identities, types, or kinds. Focusing on the unstable processes whereby identifying algorithms, identified types, and evasive transformations are dynamically coupled over time, it also theorizes various kinds of ontological inertia and highlights various kinds of algorithmic ineffability. Finally, it shows how similar issues underlie a much wider range of processes, such as the Turing Test, Bayesian reasoning, and machine learning more generally.
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Gilman, Bobbie, and Dan Peters. Finding and Serving Twice Exceptional Students. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190645472.003.0002.

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Gifted children with coexisting disabilities—the twice exceptional or 2e—exhibit complex patterns of strengths and weaknesses. Either exceptional ability or disability may mask the other, or combined exceptionalities may appear average. A case study illustrates how interpretation of changes in special education law may overlook 2e students who perform too well to qualify for services yet have disabilities significant enough to undermine success as the demands of their education increase. Department of Education policy letters are discussed, especially regarding a state’s right to condition service eligibility upon below-grade-level performance and reduce access to assessment. The student’s comprehensive diagnostic testing is explored. A triaged approach, using observed characteristics of 2e learners, is recommended to determine when comprehensive evaluation is needed to interpret a complex 2e student’s learning challenges, guide interventions/accommodations through an Individualized Education Program or Section 504 Plan, and ensure a Free Appropriate Public Education.
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14

Leinhardt, Gaea, and Kevin Crowley. Learning Conversations in Museums. Taylor & Francis Group, 2015.

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15

Leinhardt, Gaea, Kevin Crowley, and Karen Knutson. Learning Conversations in Museums. Taylor & Francis Group, 2003.

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16

Leinhardt, Gaea, Kevin Crowley, and Karen Knutson. Learning Conversations in Museums. Taylor & Francis Group, 2003.

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17

Leinhardt, Gaea, Kevin Crowley, and Karen Knutson. Learning Conversations in Museums. Taylor & Francis Group, 2003.

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18

Gaea, Leinhardt, Crowley Kevin, and Knutson Karen, eds. Learning conversations in museums. Mahwah, N.J: Lawrence Erlbaum, 2002.

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19

Leinhardt, Gaea, Kevin Crowley, and Karen Knutson. Learning Conversations in Museums. Taylor & Francis Group, 2003.

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20

Leinhardt, Gaea, Kevin Crowley, and Karen Knutson. Learning Conversations in Museums. Taylor & Francis Group, 2003.

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21

Ellis, James F. Learning from museum exhibits: The influence of sequence, verbal ability, field dependence, and perspective-taking instructions. 1993.

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22

Perry, Deborah L. What Makes Learning Fun?: Principles for the Design of Intrinsically Motivating Museum Exhibits. AltaMira Press, 2012.

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23

How to Read a Dinosaur and Other Museums Tales. Pacific Educational Press, 1999.

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24

Bell, Adam Patrick. Mixing the Multitrack. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190296605.003.0007.

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Employing the metaphor of mixing a multitrack recording, chapter 7 presents a cross-case analysis that irradiates the salient facets of each case study, bringing to the forefront both the consonant and dissonant relationships across cases. From these analyses, a number of important findings are presented. First, the DIY studio as a music-making entity can be conceptualized as functioning in at least two different models: the do-it-alone (DIA) studio and the do-it-with-others (DIWO) studio. Second, existing computer-based compositional and learning models are referenced to demonstrate how these frameworks need to evolve to reflect current music production practices. Lastly, Lucy Green’s criteria of informal learning are used to examine the learning explained and exhibited by the participants profiled in part II, most notably self-teaching.
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25

Dzakiria, Hisham. Pragmatic Approach to Qualitative Case Study Research Learning by Doing: A Case of Distance Learning Research in Malaysia. UUM Press, 2008. http://dx.doi.org/10.32890/9789833827718.

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This book for anyone who wants to undertake an engaging, satisfying, productive, and a more successful career as a qualitative researcher. This book is intended to contribute to the popularisation of qualitative research in Malaysia. Qualitative studies in educational research are very limited in many countries; and to date, there has been very little work done using this form of educational inquiry in Malaysia. The dominant tradition has followed the positivist paradigm. A qualitative case study offers a different approach and generates a range of information of different qualities from that obtained using traditional approaches. This book provides both the theories and practical practices to undertake a qualitative study. The conception of this book began from the assumption that our world is interpreted through language as means of communication and understanding. Writing narratives of experience is becoming a common way of describing how people make sense of their experience or problems at hand. At the root of the naturalistic inquiry exhibited in this book, is an interest in understanding the experience of learners and the meanings they make of the distance learning experience at Universiti Utara Malaysia (UUM). This study was designed as a single case focusing on distance learners of different backgrounds in UUM.
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26

Gaut, Berys. Film. Edited by Jerrold Levinson. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199279456.003.0037.

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Today the philosophy of film is in a thriving state. Indeed, for quality, variety, and interest of the work being carried out, the philosophy of film is arguably rivalled among the philosophies of the individual arts only by the philosophy of music. It also exhibits a striking feature which, if not unique among the philosophies of the arts, is at least highly unusual: many philosophers and film theorists are interacting with each others' work and learning from each other. Much, though certainly not all, of the work of philosophers has been critical of aspects of film theory, but the interaction has been fruitful for both disciplines. This interplay is witnessed by several anthologies in which both film theorists and philosophers of film are included.
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27

Wikle, Christopher K. Spatial Statistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.710.

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The climate system consists of interactions between physical, biological, chemical, and human processes across a wide range of spatial and temporal scales. Characterizing the behavior of components of this system is crucial for scientists and decision makers. There is substantial uncertainty associated with observations of this system as well as our understanding of various system components and their interaction. Thus, inference and prediction in climate science should accommodate uncertainty in order to facilitate the decision-making process. Statistical science is designed to provide the tools to perform inference and prediction in the presence of uncertainty. In particular, the field of spatial statistics considers inference and prediction for uncertain processes that exhibit dependence in space and/or time. Traditionally, this is done descriptively through the characterization of the first two moments of the process, one expressing the mean structure and one accounting for dependence through covariability.Historically, there are three primary areas of methodological development in spatial statistics: geostatistics, which considers processes that vary continuously over space; areal or lattice processes, which considers processes that are defined on a countable discrete domain (e.g., political units); and, spatial point patterns (or point processes), which consider the locations of events in space to be a random process. All of these methods have been used in the climate sciences, but the most prominent has been the geostatistical methodology. This methodology was simultaneously discovered in geology and in meteorology and provides a way to do optimal prediction (interpolation) in space and can facilitate parameter inference for spatial data. These methods rely strongly on Gaussian process theory, which is increasingly of interest in machine learning. These methods are common in the spatial statistics literature, but much development is still being done in the area to accommodate more complex processes and “big data” applications. Newer approaches are based on restricting models to neighbor-based representations or reformulating the random spatial process in terms of a basis expansion. There are many computational and flexibility advantages to these approaches, depending on the specific implementation. Complexity is also increasingly being accommodated through the use of the hierarchical modeling paradigm, which provides a probabilistically consistent way to decompose the data, process, and parameters corresponding to the spatial or spatio-temporal process.Perhaps the biggest challenge in modern applications of spatial and spatio-temporal statistics is to develop methods that are flexible yet can account for the complex dependencies between and across processes, account for uncertainty in all aspects of the problem, and still be computationally tractable. These are daunting challenges, yet it is a very active area of research, and new solutions are constantly being developed. New methods are also being rapidly developed in the machine learning community, and these methods are increasingly more applicable to dependent processes. The interaction and cross-fertilization between the machine learning and spatial statistics community is growing, which will likely lead to a new generation of spatial statistical methods that are applicable to climate science.
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28

Allen, Colin, Peter M. Todd, and Jonathan M. Weinberg. Reasoning and Rationality. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0003.

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The article explores five parts of Cartesian thought that include individualism, internalism, rationalism, universalism, and human exceptionalism demonstrating the philosophical and psychological theories of rationality. Ecological rationality comes about through the coadaptation of minds and their environments. The internal bounds comprising the capacities of the cognitive system can be shaped by evolution, learning, or development to take advantage of the structure of the external environment. The external bounds, comprising the structure of information available in the environment, can be shaped by the effects of minds making decisions in the world, including most notably in humans the process of cultural evolution. The internal constraints on decision-making including limited computational power and limited memory in the organism and the external ones include limited time push toward simple cognitive mechanisms for making decisions quickly and without much information. Human exceptionalism is one of the strands of Residual Cartesianism that puts the greatest focus on language and symbolic reasoning as the basis for human rationality. The invention of symbolic systems exhibits how humans deliberately and creatively alter their environments to enhance learning and memory and to support reasoning. Nonhuman animals also alter their environments in ways that support adaptive behavior. Stigmergy, an important mechanism for swarm intelligence, is the product of interactions among multiple agents and their environments. It is enhanced through cumulative modification, of the environment by individuals.
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29

Museums, American Association of, American Association of Museums. National Interpretation Project., and Exemplary Interpretation--Characteristics and Best Practices Seminar (2001 : Portland, Or.), eds. Exemplary Interpretation--Characteristics and Best Practices Seminar: Sourcebook : June 15-16, Portland, OR. Washington, D.C: American Association of Museums, 2001.

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30

Guiliano, Jennifer. A Primer for Teaching Digital History. Duke University Press, 2022. http://dx.doi.org/10.1215/9781478022299.

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A Primer for Teaching Digital History is a guide for college and high school teachers who are teaching digital history for the first time or for experienced teachers who want to reinvigorate their pedagogy. It can also serve those who are training future teachers to prepare their own syllabi, as well as teachers who want to incorporate digital history into their history courses. Offering design principles for approaching digital history that represent the possibilities that digital research and scholarship can take, Jennifer Guiliano outlines potential strategies and methods for building syllabi and curricula. Taking readers through the process of selecting data, identifying learning outcomes, and determining which tools students will use in the classroom, Guiliano outlines popular research methods including digital source criticism, text analysis, and visualization. She also discusses digital archives, exhibits, and collections as well as audiovisual and mixed-media narratives such as short documentaries, podcasts, and multimodal storytelling. Throughout, Guiliano illuminates how digital history can enhance understandings of not just what histories are told but how they are told and who has access to them.
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31

Hagoort, Peter, ed. Human Language. The MIT Press, 2019. http://dx.doi.org/10.7551/mitpress/10841.001.0001.

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A unique overview of the human language faculty at all levels of organization. Language is not only one of the most complex cognitive functions that we command, it is also the aspect of the mind that makes us uniquely human. Research suggests that the human brain exhibits a language readiness not found in the brains of other species. This volume brings together contributions from a range of fields to examine humans' language capacity from multiple perspectives, analyzing it at genetic, neurobiological, psychological, and linguistic levels. In recent decades, advances in computational modeling, neuroimaging, and genetic sequencing have made possible new approaches to the study of language, and the contributors draw on these developments. The book examines cognitive architectures, investigating the functional organization of the major language skills; learning and development trajectories, summarizing the current understanding of the steps and neurocognitive mechanisms in language processing; evolutionary and other preconditions for communication by means of natural language; computational tools for modeling language; cognitive neuroscientific methods that allow observations of the human brain in action, including fMRI, EEG/MEG, and others; the neural infrastructure of language capacity; the genome's role in building and maintaining the language-ready brain; and insights from studying such language-relevant behaviors in nonhuman animals as birdsong and primate vocalization. Section editorsChristian F. Beckmann, Carel ten Cate, Simon E. Fisher, Peter Hagoort, Evan Kidd, Stephen C. Levinson, James M. McQueen, Antje S. Meyer, David Poeppel, Caroline F. Rowland, Constance Scharff, Ivan Toni, Willem Zuidema
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