E-Teaching-Panacea or Crisis?

Human beings need communication. During the development of mankind, a multitude of communication technologies have been invented and used. Some of them had a dramatic impact on society in general and on the way scientific knowledge was disseminated. In this article we discuss some of the effects of each of these changes to teaching as a way of disseminating scientific knowledge. We discuss some of the potential effects caused by the new revolution of communication due to the World Wide Web and the potential of ubiquitous computing. We discuss the evolution of communication technology followed by a discussion of the achievements of each technology. Next, the effects of these achievements on teaching are discussed. Finally, we set these considerations into a broader context and discuss the effects on two important parameters: lead time of the teacher and verifiability of the teacher's claims.     

Dyadic longitudinal models: A critical review

In this review, we discuss the most commonly used models to analyze dyadic longitudinal data. We start the review with a definition of dyadic longitudinal data that allows relationship researchers to identify when these models might be appropriate. Then, we go on to describe the three major models commonly used when one has dyadic longitudinal data: the dyadic growth curve model (DGCM), the actor–partner interdependence model (APIM), and the common fate growth model (CFGM). We discuss when each model might be used and strengths and weaknesses of each model. We end with additional thoughts that focus on extensions to new methods being discussed in the literature, along with some of the challenges of collecting and analyzing dyadic longitudinal data that might be helpful for future dyadic researchers.     

Model-Based Wisdom of the Crowd for Sequential Decision-Making Tasks

We study the wisdom of the crowd in three sequential decision-making tasks: the Balloon Analogue Risk Task (BART), optimal stopping problems, and bandit problems. We consider a behavior-based approach, using majority decisions to determine crowd behavior and show that this approach performs poorly in the BART and bandit tasks. The key problem is that the crowd becomes progressively more extreme as the decision sequence progresses, because the diversity of opinion that underlies the wisdom of the crowd is lost. We also consider model-based approaches to each task. This involves inferring cognitive models for each individual based on their observed behavior, and using these models to predict what each individual would do in any possible task situation. We show that this approach performs robustly well for all three tasks and has the additional advantage of being able to generalize to new problems for which there are no behavioral data. We discuss potential applications of the model-based approach to real-world sequential decision problems and discuss how our approach contributes to the understanding of collective intelligence.     

All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects

Accentuate the positive or accentuate the negative? The literature has been mixed as to how the alternative framing of information in positive or negative terms affects judgments and decisions. We argue that this is because different studies have employed different operational definitions of framing and thus have tapped different underlying processes. We develop a typology to distinguish between three different kinds of valence framing effects. First we discuss the standard risky choice framing effect introduced by Tversky and Kahneman (1981) to illustrate how valence affects willingness to take a risk. Then we discuss attribute framing, which affects the evaluation of object or event characteristics, and goal framing, which affects the persuasiveness of a communication. We describe the distinctions, provide a number of examples of each type, and discuss likely theoretical mechanisms underlying each type of framing effect. Our typology helps explain and resolve apparent confusions in the literature, ties together studies with common underlying mechanisms, and serves as a guide to future research and theory development. We conclude that a broader perspective, focused on the cognitive and motivational consequences of valence-based encoding, opens the door to a deeper understanding of the causes and consequences of framing effects.     

Unreliable Bodies: A Follow‐up Twenty Years Later by a Mother and Daughter about the Impact of Illness and Disability on their Lives

We are a mother and daughter, both health care professionals, who offer a follow‐up to an article we published twenty years ago about the impact of each other's ongoing, serious medical problems on our relationship. In this article, we contribute a long‐term perspective on the differences between having an illness that is well or poorly understood by medical professionals and the lay community. We also discuss health in the context of identity formation and life stage, as during this interval the daughter left home, graduated college, married, and had two children. Also in this period, the mother survived a third breast cancer and other life‐threatening illnesses. We discuss the impact of these experiences on each other and in other important relationships in our lives. Current discourses on daughters of breast cancer survivors do not fit our experience and we speculate about why our story differs. We find that although we continue to contend with serious medical issues that impact our own, each other's, and our families' lives, nonetheless, our lives are rich, rewarding, and “appropriate” for our life stage. That is the news.     

Capacity to consent to or refuse treatment and/or research: theoretical considerations

This article discusses theoretical dimensions of competency to consent to or refuse treatment and/or research. We will consider a number of issues. Our first subject is the nature of assessments of competency-their empirical, normative, and conceptual aspects. We then discuss how we should divide up the components of capacity-understanding, appreciation, reasoning, and evidencing a choice; how we should understand these different components; and whether all are indeed necessary. We discuss where to draw the line between capacity and incapacity on each of the four elements of capacity. We ask whether we should have a variable competency standard, either in general or in different contexts (e.g. treatment versus research). Finally we consider the role of mental illness in competency assessments.     

The paradox of the question

What is the best question to ask an omniscient being? The question is intriguing; is it also paradoxical? We discuss several versions of what Ned Markosian calls “the paradox of the question” and suggest solutions to each of those puzzles. We then offer some practical advice about what do if you ever have the opportunity to query an omniscient being.     

Algebraic Kripke Sheaf Semantics for Non-Classical Predicate Logics

In so-called Kripke-type models, each sentence is assigned either to true or to false at each possible world. In this setting, every possible world has the two-valued Boolean algebra as the set of truth values. Instead, we take a collection of algebras each of which is attached to a world as the set of truth values at the world, and obtain an extended semantics based on the traditional Kripke-type semantics, which we call here the algebraic Kripke semantics. We introduce algebraic Kripke sheaf semantics for super-intuitionistic and modal predicate logics, and discuss some basic properties. We can state the Gödel-McKinsey-Tarski translation theorem within this semantics. Further, we show new results on super-intuitionistic predicate logics. We prove that there exists a continuum of super-intuitionistic predicate logics each of which has both of the disjunction and existence properties and moreover the same propositional fragment as the intuitionistic logic.     

A year of unprecedented progress in Down syndrome basic research

The years 2006 and 2007 saw the publication of three new and different approaches to prevention or amelioration of Down syndrome effects on the brain and cognition. We describe the animal model systems that were critical to this progress, review these independent breakthrough studies, and discuss the implications for therapeutic approaches suggested by each.     

Data presentation options to manage variability in physical activity research

This paper presents seven tactics for managing the variability evident in some physical activity data. High levels of variability in daily step‐count data from pedometers or accelerometers can make typical visual inspection difficult. Therefore, the purpose of the current paper is to discuss several strategies that might facilitate the visual interpretation of highly variable data. The seven strategies discussed in this paper are phase mean and median lines, daily average per week, weekly cumulative, proportion of baseline, 7‐day moving average, change point detection, and confidence intervals. We apply each strategy to a data set and discuss the advantages and disadvantages.     

Toward a New Generation of Cross-Cultural Research

ABSTRACT— In this article, we describe how cross-cultural research methodologies have evolved, with each phase of research addressing limitations of a previous one. We describe briefly the three previous phases and argue for embarking on a fourth phase that empirically establishes linkages between the active cultural ingredients hypothesized to cause between-country differences and the observed differences themselves. We discuss theoretical considerations and possible empirical methods to establish such linkages, and urge researchers to seriously consider incorporating these kinds of linkage studies in their programs of research.     

The correlational analysis of dyad-level data in the distinguishable case

Many theories of interpersonal relationships distinguish between individual-level processes and dyadic or group-level processes. This suggests that two-person relationships should be studied at the level of the dyad as well as at the level of the individual. We discuss correlational methods for dyads when each dyad contains two different types of individuals (e.g., a husband and wife, a mother and child, or an expert and a novice). In such dyadic interaction designs, the dyad members are said to be distinguishable. We present a method for computing the overall correlation for distinguishable dyads, and we discuss a model for separating the dyad-level and individual-level components of such a correlation. The computational techniques and their interpretation are described using data from 98 heterosexual couples.     

Emotion in social reflection and comparison situations: intuitive, systematic, and exploratory approaches

We asked 26 subjects to recall and describe social situations in which either a close or a distant other performed better or worse than the self at an activity that was either high or low in relevance to the self. Subjects then rated the extent to which they experienced each of 18 different emotions in each situation. They also rated each situation on a series of dimensions that Smith and Ellsworth (1985) found to be consequential for differentiating emotions. In a series of analyses guided by intuitive hypotheses, the Smith and Ellsworth theoretical approach, and a relatively unconstrained, open-ended exploration of the data, the situations were found to vary with respect to the emotions of pride, jealousy or envy, pride in the other, boredom, and happiness. We discuss the results in terms of their relevance to emotion theories and to the self-evaluation maintenance model of social behavior.     

Functional connectomics in depression: insights into therapies

Depression is a common mental disorder characterized by heterogeneous cognitive and behavioral symptoms. The emerging research paradigm of functional connectomics has provided a quantitative theoretical framework and analytic tools for parsing variations in the organization and function of brain networks in depression. In this review, we first discuss recent progress in depression-associated functional connectome variations. We then discuss treatment-specific brain network outcomes in depression and propose a hypothetical model highlighting the advantages and uniqueness of each treatment in relation to the modulation of specific brain network connectivity and symptoms of depression. Finally, we look to the future promise of combining multiple treatment types in clinical practice, using multisite datasets and multimodal neuroimaging approaches, and identifying biological depression subtypes.     

A response to commentaries on positivity

In our response, we aim to further contribute to the ongoing discussion of the construct of positivity and of the related research. We believe that each of the three commentaries has something unique to offer to the literature. By this response we take the opportunity to discuss the ideas that they present, and to illustrate some additional thoughts about positivity and its relationships with germane psychological constructs.     

Depression and attachment in families: a child-focused perspective

Given the social nature and developmental implications of attachment and depression, in this review we will examine the role of attachment and the effects of a depressed family member at each stage of a child's development. We discuss treatment strategies for families in which either a parent or a child is depressed. We propose a model that is based on the developmental phase of the children in the family, and that aims to strengthen attachment bonds among family members and alleviate depressive symptoms.     

The psychological puzzle of Sudoku

Sudoku puzzles, which are popular worldwide, require individuals to infer the missing digits in a 9 × 9 array according to the general rule that every digit from 1 to 9 must occur once in each row, in each column, and in each of the 3-by-3 boxes in the array. We present a theory of how individuals solve these puzzles. It postulates that they rely solely on pure deductions, and that they spontaneously acquire various deductive tactics, which differ in their difficulty depending on their “relational complexity”, i.e., the number of constraints on which they depend. A major strategic shift is necessary to acquire tactics for more difficult puzzles: solvers have to keep track of possible digits in a cell. We report three experiments corroborating this theory. We also discuss their implications for theories of reasoning that downplay the role of deduction in everyday reasoning.     

Graphical language games: interactional constraints on representational form

The emergence of shared symbol systems is considered to be a pivotal moment in human evolution and human development. These changes are normally explained by reference to changes in people's internal cognitive processes. We present 2 experiments which provide evidence that changes in the external, collaborative processes that people use to communicate can also affect the structure and organization of symbol systems independently of cognitive change. We propose that mutual-modifiability-opportunities for people to edit or manipulate each other's contributions-is a key constraint on the emergence of complex symbol systems. We discuss the implications for models of language development and the origins of compositionality.     

Is Default Logic a Reinvention of Inductive-Statistical Reasoning?

Currently there is hardly any connection between philosophy of science and Artificial Intelligence research. We argue that both fields can benefit from each other. As an example of this mutual benefit we discuss the relation between Inductive-Statistical Reasoning and Default Logic. One of the main topics in AI research is the study of common-sense reasoning with incomplete information. Default logic is especially developed to formalise this type of reasoning. We show that there is a striking resemblance between inductive-statistical reasoning and default logic. A central theme in the logical positivist study of inductive-statistical reasoning such as Hempels Criterion of Maximal Specificity turns out to be equally important in default logic. We also discuss to what extent the relevance of the results of Logical Positivism to AI research could contribute to a reevaluation of Logical Positivism in general.     

Behavioral skills training in scent detection research: Interactions between trainer and animal behavior

Animal trainers working in scent detection programs are responsible for arranging training contingencies as well as for observing and recording animal behavior. We provided behavioral skills training (BST) to animal trainers working with scent detection rats to improve the treatment integrity of scent‐detection research sessions. We evaluated the trainers' behavior at baseline and during the sequential introduction of each component of BST (instructions, modeling, and feedback). We observed incremental improvements in treatment integrity with the introduction of each BST component. Posttraining probes revealed that these improvements were sustained at least 3 weeks post‐BST. As the trainers' behavior was modified during BST, we observed decrements in measures of rat performance. We discuss the nature of these interactions and their implications for the use of BST in scent detection research and in situations in which intervention with one party produces concomitant effects on the behavior of another.