Active Learning Networks: Designing for Computer Supported Social Networks in Special Education Environments

نویسنده

  • Rogerio DePaula
چکیده

This position paper describes an application of social networks to support the work of special education professionals. In our research, we found that without appropriate professional, social, and personal support, these professionals are unlikely to be able to use innovative technologies with their students, despite the potential benefits that their uses can engender. Teacher professional development as didactical training activities is traditionally the most utilized approach. However, more recently with the development of new collaborative technologies and widespread use of the Internet, new forms of professional development based on ongoing peer-to-peer interaction have become reality as attempts to offer more ongoing and long-lasting support. In this paper, an alternative approach, active learning networks, is presented. It is primarily based on the structure of interpersonal relationships, and aims to facilitate professional development through the support of social “encounters” among special education professionals. A web-based peer-to-peer system, named Web2gether, was designed and developed based on this concept and later deployed in a school district to help special education professionals to receive more appropriate support to use software applications in their classrooms. The major design considerations of this system are presented. Finally, the design, deployment, and evaluation of active learning networks are not without challenges. I thus conclude this position paper describing three major challenges:

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Link Prediction Method Based on Learning Automata in Social Networks

Nowadays, online social networks are considered as one of the most important emerging phenomena of human societies. In these networks, prediction of link by relying on the knowledge existing of the interaction between network actors provides an estimation of the probability of creation of a new relationship in future. A wide range of applications can be found for link prediction such as electro...

متن کامل

Using an Evaluator Fixed Structure Learning Automata in Sampling of Social Networks

Social networks are streaming, diverse and include a wide range of edges so that continuously evolves over time and formed by the activities among users (such as tweets, emails, etc.), where each activity among its users, adds an edge to the network graph. Despite their popularities, the dynamicity and large size of most social networks make it difficult or impossible to study the entire networ...

متن کامل

An Adaptive Congestion Alleviating Protocol for Healthcare Applications in Wireless Body Sensor Networks: Learning Automata Approach

Wireless Body Sensor Networks (WBSNs) involve a convergence of biosensors, wireless communication and networks technologies. WBSN enables real-time healthcare services to users. Wireless sensors can be used to monitor patients’ physical conditions and transfer real time vital signs to the emergency center or individual doctors. Wireless networks are subject to more packet loss and congestion. T...

متن کامل

Detecting Overlapping Communities in Social Networks using Deep Learning

In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...

متن کامل

Interdependent Security Game Design over Constrained Linear Influence Networks

In today's highly interconnected networks, security of the entities are often interdependent. This means security decisions of the agents are not only influenced by their own costs and constraints, but also are affected by their neighbors’ decisions. Game theory provides a rich set of tools to analyze such influence networks. In the game model, players try to maximize their utilities through se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003