Understanding reading as a form of language-use: A language game hypothesis

Reading research and research on conversation have followed different paths: While the research program for reading committed itself to a relatively static view of language, where objective text properties serve to elicit specific effects on cognition and behavior of a reader, research on conversation has embraced a language-use perspective, where language is primarily seen as a dynamic, context dependent process. In this essay I contrast these two perspectives, and argue that in order to reach a unified understanding of natural language – be it reading, talking, or conversing – one needs to adopt a language-use perspective. Furthermore, I describe how reading can be seen as a form of language-use, and how the current landscape of research on reading can be re-interpreted in terms of a dynamic, context-sensitive perspective on language. In particular, I propose that the concept of ‘language games’ serves as a good starting point to conceive reading as a form of language-use, describe how one can derive first concrete hypotheses by re-interpreting reading in terms of language games, and show how they can be readily operationalized using tools from dynamic systems analysis.     

Critique of Sharif’s and Pitt’s Models of Technology

abstract

In this article Pitt’s and Sharif’s models of technology are discussed. These models are based on two different conceptions of technology, which are technology as “instrument” and as “making use of instrument.” Sharif considers technology as a collection of empowering tools, including technoware, humanware, infoware and orgaware. On the other hand, Pitt sees technology as “humanity at work.” Based on his definition, Pitt proposes a model of technology with three components; first-order transformation, second-order transformation, and the assessment of feedback mechanism. In this article this model will be explained and criticized. After that, Sharif’s model is criticized in the light of Pitt’s theory and it will be shown that Pitt’s model provides a better understanding of different aspects of technology. For example, it will be argued how Pitt’s model is efficient in explaining dynamicity, transfer and control of technology along with its soft dimensions, while Sharif’s model is incapable of doing so. In the next part, Pitt’s model is criticized and it is shown that the mechanism of knowledge progress suggested by this model is controversial and Pitt’s framework cannot support the idea of indigenous technology. Furthermore, the ability of Pitt’s model in describing different technological phenomena is called into question, since this model provides a superficial view of the complexity of an assessment of technology’s consequences. Finally, a list is proposed that contains minimal requirements that every model of technology is expected to explain. It is incumbent on technology theoreticians to consider this list.     

Alter Egos: Notes on the basic Processes of specular Identification

Although identity is always dependant on observing minds, identification in physics and biology remains merely external, avoiding therefore the more serious problems of identity which arise in the presence of observed minds. Minds are defined in this paper as specular machines, i.e. systems capable of crossed self‐representations. Specularity is introduced as the primary condition of any objective identification, and self‐identification is presented as the core of specularity. Elementary illustrations are given of the role of specularity in both sociology and psychopathology.     

Peek-a-who? Exploring the dynamics of early communication with an interactive partner swap paradigm and state space grid visualization

Effective caregiver-infant communication occurs when interactive partners successfully coordinate multiple modalities (e.g., body movements, affect, eye gaze). The complex interplay of multiple modalities during caregiver-infant interactions is difficult to capture, which has made a comprehensive, evidence-based understanding of caregiver-infant communication difficult to achieve. We present a novel methodological approach to address this challenge by combining an Interactive Partner Swap (IPS) paradigm with a longitudinal design, detailed multimodal coding, and data visualization via state space grids (SSGs). We demonstrate the utility of our approach by presenting three sets of SSGs which reveal both dyadic flexibility and stability in caregiver-infant peek-a-boo interactions across three levels: micro (moment-to-moment), meso (interactive context), and macro (infant development). By using SSGs to explore the patterns that hold and others that differ systematically across interactive partner and infant development, our novel approach promises to offer critical first steps to creating a more detailed understanding of the dynamics of early multimodal communication.     

Vulnerabilities in Ghanaian orphans: Using the ecological systems theory as a lens

International studies have suggested that parental loss is a risk factor for poor physical and mental health, but all orphans do not develop the same kind and intensity of wellbeing indicators. This disparity is associated with certain biopsychosocial characteristics of the developing orphan which may interact with certain environmental factors to determine the levels of vulnerability a child may experience following parental death. While studies have been devoted to orphanhood in Ghana, no study has examined the nature of multisystemic risks within the sociocultural environment, and the factors within orphans which may interact to determine their experiences and developmental outcomes in Ghana. In the present paper, the Ecological Systems Theory is used to depict different vulnerabilities associated with orphanhood in the Ghanaian context. Using this theory, I demonstrate that Ghanaian orphans may experience vulnerabilities at all systems of the theory. Implications of the identified vulnerabilities for research, interventions and policy making are discussed.     

Reasoning across continuous landscapes: A nonlinear dynamical systems theory approach to reasoning

Dual-processing theories of reasoning have gained renewed attention in recent years, particularly in the fields of decision-making under uncertainty, learning, and social judgment. Although the various accounts differ, the common thread is the distinction between two qualitatively different reasoning processes, such as automatic/controlled, fast/slow, and unconscious/conscious. Accordingly, much research is focused on elucidating the nature of the two processes in terms of the kinds of information they process and respond to. Less extensive are attempts to identify mediators that underlie changes between the two reasoning strategies. We argue that nonlinear dynamical systems theory may be able to provide a fresh perspective on reasoning. Nonlinear dynamical systems theory allows us to shift the perspective to the dynamic interactions and transitions among continuous yet qualitatively different reasoning processes. We apply the approach to reasoning in decision-making and judgment under uncertainty. Our primary claim is that using different reasoning strategies is better understood as phase transitions among a landscape of continuous reasoning capacities.     

Effects of task constraint on action dynamics

The actualization of action possibilities (i.e., affordances) can often be accomplished in numerous ways. For instance, an individual could walk over to a rubbish bin to drop an item in or throw the piece of rubbish into the bin from some distance away. The aim of the current study was to investigate the action dynamics that emerge from such under-constrained task or action spaces using an object transportation task. Participants were instructed to transport balls between a starting location and a large wooden box located 9 m away. The temporal interval between the sequential presentation of balls was manipulated as a control parameter and was expected to influence the distance participants moved prior to throwing or dropping the ball into the target box. A two-parameter state space derived from the Cusp Catastrophe Model was employed to illustrate how behavioral variability emerged as a consequence of the under-constrained task context. Two follow-up experiments demonstrated direct correspondence between model predictions and observed action dynamics as a function of increasing task constraints. Implications for modeling, the theory of affordances, and empirical studies more generally are discussed.     

Team adaptability and task cohesion as resources to the non-linear dynamics of workload and sickness absenteeism in firefighter teams

ABSTRACT

The current study builds on the non-linear Dynamic Systems (NDS) perspective to test the assumption that change in sickness absenteeism is non-linear, and that such change is due to workload, team adaptability and task cohesion. Participants were 37 firefighter teams (n = 250 individuals) from a main European capital city. The research hypotheses were tested using SPSS and the “cusp” package, in the statistical software R. The results suggest that change in sickness absenteeism behaviours over time is non-linear, with the cusp catastrophe model predicting such behaviours better than the linear and logistic models. In our model, task cohesion functions as an asymmetry factor (i.e., the independent variable that determines the strength and discrepancy between the two stable states of the dependent variable) leading to a linear change in sickness absenteeism. Interestingly, both workload and team adaptability function as bifurcation (i.e., the independent variable that determines the change between the two stable states of the order parameter) and asymmetry factors leading to non-linear and linear change in sickness absenteeism over time. This study contributes to the growing evidence that incorporating the NDS perspective enables a better understanding of action teams, namely those working in extreme environments.     

An introduction to the Priority‐Pointing Procedure

A qualitative research‐based diagnostic procedure, the Priority‐Pointing Procedure (PPP), is proposed that synthesizes responses to open‐ended questions about the direction an organization should take. It points to a priority for action by measuring imbalances in the numbers of responses in the context of the structure of adjustment decision‐making from nomology. It is shown to be useful for defining variables and structuring criteria for strategic Multi‐Criteria Decision Analysis (MCDA) problems. Copyright © 2000 John Wiley & Sons, Ltd.     

An effective metacognitive strategy: learning by doing and explaining with a computer‐based Cognitive Tutor

Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving practice with a Cognitive Tutor learned with greater understanding compared to students who did not explain steps. The explainers better explained their solutions steps and were more successful on transfer problems. We interpret these results as follows: By engaging in explanation, students acquired better‐integrated visual and verbal declarative knowledge and acquired less shallow procedural knowledge. The research demonstrates that the benefits of self‐explanation can be achieved in a relatively simple computer‐based approach that scales well for classroom use.