Learning Potential Is Related to the Dynamics of Scaffolding: An Empirical Illustration of the Scaffolding Dynamics of 5-Year-Olds and Their Teacher

2014 ◽  
Vol 13 (3) ◽  
pp. 375-391 ◽  
Author(s):  
Annemieke Ensing ◽  
Geerdina M. van der Aalsvoort ◽  
Paul van Geert ◽  
Silke Voet

We propose a new definition of learning potential as an emergent phenomenon. It emerges in the process of creating a unique scaffolding situation through the real-time interaction between teacher and child. We provide a model for analyzing the behavioral sequences within these scaffolding dynamics and illustrate it with the data of two qualitatively representative children working on a curriculum-related task with their teacher. It is hypothesized that if the dyads truly create their own dynamic scaffolding–related situation as presented in the model, they are expected to differ in terms of their temporal patterns in a nontrivial way. Analyses showed significantly different patterns for both dyads. We conclude that, in applied settings, an analysis of the dynamic patterns of scaffolding creation might provide important information about learning potential, in addition to information obtained with standardized dynamic tests.

2021 ◽  
Vol 11 (11) ◽  
pp. 5067
Author(s):  
Paulo Veloso Gomes ◽  
António Marques ◽  
João Donga ◽  
Catarina Sá ◽  
António Correia ◽  
...  

The interactivity of an immersive environment comes up from the relationship that is established between the user and the system. This relationship results in a set of data exchanges between human and technological actors. The real-time biofeedback devices allow to collect in real time the biodata generated by the user during the exhibition. The analysis, processing and conversion of these biodata into multimodal data allows to relate the stimuli with the emotions they trigger. This work describes an adaptive model for biofeedback data flows management used in the design of interactive immersive systems. The use of an affective algorithm allows to identify the types of emotions felt by the user and the respective intensities. The mapping between stimuli and emotions creates a set of biodata that can be used as elements of interaction that will readjust the stimuli generated by the system. The real-time interaction generated by the evolution of the user’s emotional state and the stimuli generated by the system allows him to adapt attitudes and behaviors to the situations he faces.


SIMULATION ◽  
2021 ◽  
pp. 003754972110031
Author(s):  
Daniella Niyonkuru ◽  
Gabriel Wainer

Development of Embedded Real-Time Systems is prone to error, and developing bug-free applications is expensive and no guarantees can be provided. We introduce the concept of Digital Quadruplet which includes: a 3D virtual representation of the physical world (a Digital Twin), a Discrete-Event formal model of the system of interest (called the “Digital Triplet”), which can be used for formal analysis as well as simulation studies, and a physical model of the real system under study for experimentation (called the “Digital Quadruplet”). We focus on the definition of the idea of a Digital Quadruplet and how to make these four apparati consistent and reusable. To do so, we use the Discrete-Event formal model as a center for both simulation and execution of the real-time embedded components with timing constraints, as well as a common mechanism for interfacing with the digital counterparts, providing model continuity throughout the process. Here we focus on a principal part of the Digital Quadruplet idea: the provision of an environment to allow models to be used for simulation (in virtual time), visualization, or execution in real-time. A Discrete-EVent Systems specifications (DEVS) kernel runs on bare-metal hardware platforms, avoiding the use of an Operating RTOS in the platform, and the combination with discrete-event modeling engineering.


2021 ◽  
Vol 7 ◽  
pp. e787
Author(s):  
José Roldán-Gómez ◽  
Juan Boubeta-Puig ◽  
Gabriela Pachacama-Castillo ◽  
Guadalupe Ortiz ◽  
Jose Luis Martínez

The Internet of Things (IoT) paradigm keeps growing, and many different IoT devices, such as smartphones and smart appliances, are extensively used in smart industries and smart cities. The benefits of this paradigm are obvious, but these IoT environments have brought with them new challenges, such as detecting and combating cybersecurity attacks against cyber-physical systems. This paper addresses the real-time detection of security attacks in these IoT systems through the combined used of Machine Learning (ML) techniques and Complex Event Processing (CEP). In this regard, in the past we proposed an intelligent architecture that integrates ML with CEP, and which permits the definition of event patterns for the real-time detection of not only specific IoT security attacks, but also novel attacks that have not previously been defined. Our current concern, and the main objective of this paper, is to ensure that the architecture is not necessarily linked to specific vendor technologies and that it can be implemented with other vendor technologies while maintaining its correct functionality. We also set out to evaluate and compare the performance and benefits of alternative implementations. This is why the proposed architecture has been implemented by using technologies from different vendors: firstly, the Mule Enterprise Service Bus (ESB) together with the Esper CEP engine; and secondly, the WSO2 ESB with the Siddhi CEP engine. Both implementations have been tested in terms of performance and stress, and they are compared and discussed in this paper. The results obtained demonstrate that both implementations are suitable and effective, but also that there are notable differences between them: the Mule-based architecture is faster when the architecture makes use of two message broker topics and compares different types of events, while the WSO2-based one is faster when there is a single topic and one event type, and the system has a heavy workload.


HPB ◽  
2020 ◽  
Vol 22 ◽  
pp. S88
Author(s):  
S. Wilson ◽  
J. Barkun ◽  
K. Bertens ◽  
G. Martel ◽  
F. Balaa ◽  
...  

Author(s):  
Richard Caladine

Real time communications technologies are just that: technologies that facilitate real time or synchronous communications. An example that springs rapidly to mind is the telephone. The real time communications technologies (RTCs) that are commonly found in educational contexts include text-based examples such as text chat, and rich media examples such as video chat, videoconference, and Access Grid. Teaching with RTCs is not the same as face-to-face teaching due to the imposition the technology makes on the learning, thus limiting some activities. Full definitions of videoconference and video chat and recommendations for teaching with videoconference and video chat are discussed in detail in Chapter XIII. Likewise, teaching with Access Grid plus a description and a definition of it are provided in Chapter XIV. In this chapter some general approaches to teaching that are common to all RTCs are discussed and contrasts are drawn between other approaches that clearly highlight the differences in the RTCs.


2019 ◽  
Vol 21 (21) ◽  
pp. 10908-10913 ◽  
Author(s):  
Lorena E. Rosaleny ◽  
Kirill Zinovjev ◽  
Iñaki Tuñón ◽  
Alejandro Gaita-Ariño

Molecular dynamics and crystal field analysis are combined to obtain information about the real-time interaction between the spin energy levels and the dynamics of the molecular structure, at all relevant time scales.


Author(s):  
Meghna Sharma ◽  
Jagdeep Kaur

The problem of hazard detection and the robotic exploration of the hazardous environment is the need of the of the hour due to the continuous increase of the hazardous gases owing to the industry proliferation and modernization of the infrastructure. It includes radiological materials and toxic gases with long term harmful effects. The definition of a hazardous environment and extracting the parameters for the same is itself a complicated task. The chapter proposes the alarming solution to warn about the level of hazardous effects for a particular environment area. The need of the hour is to build complete systems that can autosense the hazardous environment even in low visibility environment and raise an alarm. The combination of IoT and machine learning can be best used for getting the real-time data and using the real-time data for analyzing the accurate current hazardous level as well as prediction of future hazards by reading the parameters for detection and also selecting the useful parameters from them.


2010 ◽  
Vol 16 (3) ◽  
pp. 132-135 ◽  
Author(s):  
Beth Phillips ◽  
Ryan J. Shaw ◽  
Dori Taylor Sullivan ◽  
Constance Johnson

Distance education has traditionally been two-dimensional, with limited interaction. Virtual environments enhance distance education learning through real-time interaction and social collaboration that mimic the real world. Virtual environments offer the option to create social and professional relationships that have been a missing component of distance learning.


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