scholarly journals Special Section: Addressing Behaviours of Concern

2016 ◽  
Vol 40 (2) ◽  
pp. 79-79
Author(s):  
Michael Arthur-Kelly

It is a singular pleasure to introduce this issue of AJSE with a special section on addressing behaviours of concern. Our first paper comes from George Sugai and his colleagues, and both reprises and extends the excellent material George shared with us at the 2015 National Conference in Fremantle. As you read this paper, note the focus on key principles for capacity building in complex systems of support and consider the direct implications for your work in schools and jurisdictions. Our second paper is contributed by Hank Bohanon and colleagues and articulates how these principles and related aspects of implementation science underpin school improvement in secondary settings and the various ways this can occur to ensure a comprehensive approach to positive behaviour support.

2016 ◽  
Vol 40 (2) ◽  
pp. 99-116 ◽  
Author(s):  
Hank Bohanon ◽  
Carrie Gilman ◽  
Ben Parker ◽  
Chris Amell ◽  
Gabe Sortino

The purpose of this paper is to describe the integration of tiered interventions and supports in secondary schools, sometimes referred to as multi-tiered systems of support (MTSS). The interventions include academic, behavioural, social, and emotional supports for all students. A description of the connections across specific MTSS systems, datasets, and practices is discussed. The article addresses the implementation of MTSS through the lens of school improvement and implementation science. A case example of a school implementing MTSS is provided to highlight the strengths and challenges of MTSS in secondary settings.


2000 ◽  
Vol 3 (1) ◽  
pp. 30-38 ◽  
Author(s):  
Lorna Earl ◽  
Linda Lee

Author(s):  
Anang Hudaya Muhamad Amin ◽  
Fred N. Kiwanuka ◽  
Nabih T. J. Abdelmajid ◽  
Saif Hamad AlKaabi ◽  
Sultan Khalid Abdulqader Rashed Ahli

Internet of things (IoT) is in the forefront of many existing smart applications, including autonomous systems and green technology. IoT devices have been commonly used in the monitoring of energy efficiency and process automation. As the application spreads across different kinds of applications and technology, a large number of IoT devices need to be managed and configured, as they are capable of generating massive amount of sensory data. Looking from this perspective, there is a need for a proper mechanism to identify each IoT devices within the system and their respective applications. Participation of these IoT devices in complex systems requires a tamper-proof identity to be generated and stored for the purpose of device identification and verification. This chapter presents a comprehensive approach on identity management of IoT devices using a composite identity of things (CIDoT) with permissioned blockchain implementation. The proposed approach described in this chapter takes into account both physical and logical domains in generating the composite identity.


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