Heuristic Cues for Meta-Reasoning Judgments

Metacognitive research aims to explain how people regulate their effort when performing cognitive tasks, to expose conditions that support reliable monitoring of chance for success, and to provide a basis for developing improvement guidelines. The essence of the domain is that monitoring drives control: people continually self-assess their chance for success before, during, and after performing a cognitive task, and use these judgments to guide their effort-allocation decisions (e.g., whether to reconsider an answer option, change strategy, seek help, or give up). Thus, factors that underlie metacognitive judgments affect the efficiency with which people perform cognitive tasks. This paper focuses on meta-reasoning – the monitoring and control processes that apply to reasoning, problem-solving, and decision-making tasks. So far, relatively little is known about heuristic cues used for inferring meta-reasoning judgments. This paper reviews the known heuristic cues and offers methodological guidelines for a critical reading of existing research and for designing high-quality studies that will advance this important domain.

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Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings

Energies ◽

10.3390/en11123430 ◽

2018 ◽

Vol 11 (12) ◽

pp. 3430 ◽

Cited By ~ 17

Author(s):

Roberto Casado-Vara ◽

Zita Vale ◽

Javier Prieto ◽

Juan Corchado

Keyword(s):

Internet Of Things ◽

Continuous Time ◽

Control Algorithm ◽

Fault Tolerant ◽

The Internet ◽

Monitoring And Control ◽

Network Nodes ◽

Reliable Monitoring ◽

And Control ◽

The Internet Of Things

The monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.

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Re-Conceptualizing Calibration Using Trace Methodology

Fostering Self-Regulated Learning through ICT ◽

10.4018/978-1-61692-901-5.ch005 ◽

2010 ◽

pp. 71-88

Author(s):

Rylan G. Egan ◽

Mingming Zhou

Keyword(s):

Learning Environment ◽

Multimedia Learning ◽

Monitoring And Control ◽

Metacognitive Monitoring ◽

Self Regulated Learning ◽

Metacognitive Judgments ◽

Regulated Learning ◽

Calibration Accuracy ◽

And Control ◽

Multimedia Learning Environment

In this chapter, the authors challenge the traditional differentiation between metacognitive monitoring and control in text-based self-regulated learning (SRL). Building on Pieshl (2009), the authors presented a case for conceptualizing and measuring calibration as the interaction between metacognitive monitoring and control under the assumption that learners adjust metacognitive judgments as they monitor and control their learning both within and between trials. To this end they describe three separate but related measures of calibration – assessment, internal, and strategic calibration – to address such questions as what kind of test will be given; how will I perform on such a test; and what can I do to improve my performance, respectively. Each type of calibration is mutually exclusive; however, overall calibration accuracy relies on the hierarchical interplay among all three types. Finally, they provide examples of how trace data for each type of calibration may be collected in a multimedia-learning environment.

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Automatic scada systems for reliable monitoring and control of kayseri wastewater treatment plant

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)35824-x ◽

2003 ◽

Vol 36 (7) ◽

pp. 155-159

Author(s):

M. Cakmakci ◽

I. Sel ◽

O. Ozdemir ◽

C. Kinaci

Keyword(s):

Wastewater Treatment ◽

Wastewater Treatment Plant ◽

Treatment Plant ◽

Monitoring And Control ◽

Reliable Monitoring ◽

Scada Systems ◽

And Control

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Backward Protective Stepping During Dual-Task Scenarios in People With Parkinson’s Disease: A Pilot Study

Neurorehabilitation and Neural Repair ◽

10.1177/1545968320935814 ◽

2020 ◽

Vol 34 (8) ◽

pp. 702-710

Author(s):

Daniel S. Peterson ◽

Jordan S. Barajas ◽

Linda Denney ◽

Shyamal H. Mehta

Keyword(s):

Older Adults ◽

Parkinson’S Disease ◽

Dual Task ◽

Cognitive Task ◽

Cognitive Tasks ◽

Task Interference ◽

Healthy Older Adults ◽

And Control ◽

The Impact ◽

Dual Task Interference

Introduction. Reactive movements in response to a loss of balance are altered in people with Parkinson’s disease (PD) and are critical for fall prevention. Further, falls are more common while attention is divided. Although divided attention has been shown to impact postural responses in healthy older adults, the impact of dividing attention on reactive balance, and the natural prioritization across postural and cognitive tasks in people with PD is largely unknown. Objectives. To characterize (1) the impact of a secondary cognitive task on reactive postural control and (2) the prioritization across stepping and cognitive tasks in people with PD. Methods. Sixteen people with PD and 14 age-matched controls underwent step-inducing, support-surface perturbations from stance, with and without an auditory Stroop secondary cognitive task. Cognitive, neuromuscular, and protective stepping performance were calculated for single and dual task scenarios. Results. In PD and control participants, cognitive reaction times ( P = .001) and muscle onset latency ( P = .007), but not protective step outcomes ( P > .12 for all) were worse during dual tasking compared with single-task scenarios. Both PD and control groups prioritized the protective stepping task over the cognitive task. Overall, people with PD exhibited worse first-step margin of stability (a measure of protective step performance) than controls ( P = .044). Conclusion. This study provides preliminary evidence that people with PD, like age-matched controls, exhibit cognitive and neuromuscular, but not protective step, dual-task interference. The lack of dual-task interference on step performance indicates a postural prioritization for PD and healthy older adults during dual-task protective stepping.

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Do Cognitive Tasks Reduce Intrusive-Memory Frequency After Exposure to Analogue Trauma? An Experimental Replication

Clinical Psychological Science ◽

10.1177/2167702620906148 ◽

2020 ◽

Vol 8 (3) ◽

pp. 569-583 ◽

Cited By ~ 4

Author(s):

Amalia Badawi ◽

David Berle ◽

Kris Rogers ◽

Zachary Steel

Keyword(s):

Memory Consolidation ◽

Traumatic Event ◽

Cognitive Task ◽

Cognitive Tasks ◽

Visuospatial Task ◽

Intrusive Memories ◽

Independent Replication ◽

Intrusive Memory ◽

Analogue Trauma ◽

And Control

Cognitive task interventions that interfere with visuospatial working memory during the memory consolidation window hold promise for reducing intrusive memories in trauma-exposed people. Our study provides an independent replication study to test and verify findings that have primarily originated from a single research group. We hypothesized that participants engaging in a visuospatial task (cognitive task intervention including Tetris or D-Corsi) following a trauma-film paradigm (TFP) would report fewer intrusive memories over the course of a week compared with control participants. Participants ( N = 110) were randomly assigned to an experimental condition after viewing the TFP. Generalized linear mixed models indicated that the cognitive task including Tetris was associated with fewer intrusions for the TFP compared with both the D-Corsi-intervention and control conditions. Our findings are congruent with existing literature indicating that cognitive tasks, such as an intervention including Tetris, may promote effective memory consolidation after exposure to a potentially traumatic event.

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Risk Evaluation and Control Strategies for Indoor Radon: A Brief Discussion

Radiation Protection Dosimetry ◽

10.1093/oxfordjournals.rpd.a082486 ◽

1994 ◽

Vol 56 (1-4) ◽

pp. 359-365

Author(s):

A.V. Nero Jr. (INVITED)

Keyword(s):

Conceptual Framework ◽

Control Strategies ◽

Indoor Radon ◽

Public Information ◽

Cost Benefit ◽

Outdoor Environment ◽

Monitoring And Control ◽

Reliable Monitoring ◽

Near Term ◽

And Control

Abstract Average risks of death estimated for radon are larger than those for many exposures in the outdoor environment, but similar to some in industrial settings. However, the indoor environment differs in regard to cost, benefit, responsibility, and distribution of risks from the outdoor and occupational settings, where frameworks for setting risk-limiting objectives and strategies have already been developed substantially. This indicates the need to develop a conceptual framework for evaluating risks in the outdoor environment, within which the objectives of radon control strategies can be sensibly chosen. Nevertheless, the range of estimated radon risks and of recent radon control strategies suggest near-term elements of any strategy, i.e. accurate and effective public information, as well as reliable monitoring and control capabilities, and a focus on areas where most high residential levels occur. Developing a conceptual framework for evaluating indoor risks will permit the formulation of suitable aims on average indoor exposures and lower exposure situations.

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Computers for data, control and simulation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100106661 ◽

1988 ◽

Vol 46 ◽

pp. 920-921

Author(s):

David C. Joy

Keyword(s):

Personal Computers ◽

Monitoring And Control ◽

Data Logging ◽

Data Logger ◽

Operational Conditions ◽

Data Control ◽

The Many ◽

And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

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