Data use in New Zealand secondary schools: Tracking, traffic lights, and triage

2020 ◽  
Vol 14 ◽  
pp. 89-111
Author(s):  
Lisa Dyson ◽  

Secondary schools in New Zealand use assessment data for school selfevaluation, but little research has explored exactly how schools are using these data. This case study of selected high schools explored the perspectives of teachers and school leaders whose schools had recently implemented a student assessment tracking and monitoring “traffic light” tool. Informed by a realist approach, the study involved a series of three focus groups followed by individual interviews with 13 educators at four secondary schools that had been identified as effective at school self-evaluation. The results highlight that data use processes led to changes in practice in teachers’ work and contributed to structural changes in these schools. This study shows that data use can be a powerful force, with the potential for good, but it also raises some concerns about the unintended consequences of the use of assessment data.

2012 ◽  
Vol 151 ◽  
pp. 510-513 ◽  
Author(s):  
Yu Peng Yao ◽  
Ying Shi ◽  
Ji You Fei

Configuration technology is a new technology for monitoring in the current society; it is the result of the development of computer control technology. To traffic light control system, it is to combine the use of configuration technology and procedures related to PLC, and through software simulation and traffic lights light changes, traffic light control system could achieve the monitoring problem, and if the system is in good condition, its application can save a lot of labor powers and materials.


2021 ◽  
Vol 116 (1) ◽  
pp. 299-304
Author(s):  
Assel Aliyadynovna Sailau

The number of vehicles on the roads of Almaty, Kazakhstan is growing from year to year. This brings about an increasing intensity and density of traffic flows in the streets which leads to congestion, decreasing speed of the traffic flow, increasing environmental pollution caused by car emissions, and which can potentially lead to the road traffic accidents (RTA), including fatalities. While the number of injuries grows up mainly due to drivers’ non-compliance with the speed limit, the environmental pollution is caused by longer traffic jams. Therefore, to reduce the level of road traffic injuries and emissions into the environment it is necessary to ensure the uniform movement of traffic flows in cities. Currently, one of the effective ways to do it is the use of transport telematics systems, in particular, control systems for road signs, road boards and traffic lights. The paper presents an analysis of existing systems and methods of traffic light regulation. The  analyses of the systems and methods are based on the use of homogeneous data, that is the data on standard parameters of traffic flows. The need in collecting and analyzing additional semi-structured data on the factors that have a significant impact on the traffic flows parameters in cities is shown as well. The work is dedicated to solving the problem of analysis and forecast of traffic flows in the city of Almaty, Kazakhstan. GPS data on the location of individual vehicles is used as the initial data for solving this problem. By projecting the obtained information onto the graph of the city's transport network, as well as using additional filtering, it is possible to obtain an estimate of individual parameters of traffic flows. These parameters are used for short-term forecast of the changes in the city's transport network.


Author(s):  
Muhammad Rusyadi Ramli ◽  
Riesa Krisna Astuti Sakir ◽  
Dong-Seong Kim

This paper presents fog-based intelligent transportation systems (ITS) architecture for traffic light optimization. Specifically, each intersection consists of traffic lights equipped with a fog node. The roadside unit (RSU) node is deployed to monitor the traffic condition and transmit it to the fog node. The traffic light center (TLC) is used to collect the traffic condition from the fog nodes of all intersections. In this work, two traffic light optimization problems are addressed where each problem will be processed either on fog node or TLC according to their requirements. First, the high latency for the vehicle to decide the dilemma zone is addressed. In the dilemma zone, the vehicle may hesitate whether to accelerate or decelerate that can lead to traffic accidents if the decision is not taken quickly. This first problem is processed on the fog node since it requires a real-time process to accomplish. Second, the proposed architecture aims each intersection aware of its adjacent traffic condition. Thus, the TLC is used to estimate the total incoming number of vehicles based on the gathered information from all fog nodes of each intersection. The results show that the proposed fog-based ITS architecture has better performance in terms of network latency compared to the existing solution in which relies only on TLC.


Author(s):  
Denard Lynch

This paper discusses the results of two experiments in self assessment and discusses their value in evaluating student consciousness of their competence, and the opportunity to improve self-awareness and competence in students. The data was gathered from two different engineering courses. The first experiment was conducted in a second-year course on basic electronics and electrical power. As part of the final examination, students were asked to assess their confidence in their answer to each question. The student self-assessment was compared to the actual result in an effort to determine the student’s perception of their competence. Student assessment was coded with respect to consciousness and competence. The second experiment was performed on a midterm examination in engineering ethics and professionalism, a senior course discussing the impact and interaction of the engineering profession on society. Students were given an annotated exemplar and a marking rubric and asked to grade their own midterm submissions. The student assessments were compared to the instructor assessment and again the results were coded with respect to consciousness and competence. The results showed a contrast between the second-year and senior courses. For the second-year course, 50.3% were coded as consciously competent or incompetent. In the senior course, 80% of students were coded as consciously competent. The comparison of the two results suggest that senior students, given suitable instruction, are more aware of their competence than junior students suggesting that current methods do develop an improved awareness of competence, although other factors may be relevant. It is suggested that student awareness be formally monitored, and results used to modify pedagogy to improve and accelerate consciousness in graduates.  


2014 ◽  
Vol 43 (1) ◽  
pp. 31-45
Author(s):  
Suzanne Manning

Purpose – The purpose of this paper is to trace the implementation of biculturalism in the New Zealand Playcentre Federation between 1989, when a public commitment to The Treaty of Waitangi was made, and 2011, when Tiriti-based co-presidents were elected. Design/methodology/approach – The data were drawn from the Playcentre Journal and papers from Playcentre National meetings, as well as from the author's experience as a Pākehā participating in Playcentre. The events are analysed using democratic theory. Findings – Despite a willingness to encompass biculturalism, the processes of democracy as originally enacted by Playcentre hindered changes that allowed meaningful rangatiratanga (self-determination) by the Māori people within Playcentre. The factors that enabled rangatiratanga to gain acceptance were: changing to consensus decision making, allowing sub groups control over some decisions, and the adult education programme. These changes were made only after periods of open conflict. The structural changes that occurred in 2011 were the result of two decades of persistence and experimentation to find a way of honouring Te Tiriti within a democratic organisation. Social implications – The findings suggest that cultural pluralism within a liberal democratic organisation is best supported with an agonistic approach, where an underlying consensus of world view is not assumed but instead relies on a commitment by the different cultures to retaining the political association within the structure of the organisation. Originality/value – Many organisations in New Zealand, especially in education, struggle to implement biculturalism, and the findings of this study could be useful for informing policy in such organisations. This history of Playcentre continues from where previous histories finished.


SAGE Open ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 215824401880579 ◽  
Author(s):  
Kevin Sullivan ◽  
Andrew McConney ◽  
Laura B. Perry

This study compares rural educational disadvantage across Australia, Canada, and New Zealand using data from the Organisation for Economic Co-operation and Development’s Programme for International Student Assessment (PISA). Across the three countries, student reading literacy and school learning environments are less positive in rural communities than in urban. Furthermore, rural disadvantage in educational outcomes (reading) and opportunities is greater in Australia than Canada or New Zealand. This could be seen as surprising as student socioeconomic status (SES), typically a strong predictor of educational outcomes, is similar for rural communities in Australia and Canada, but lower in New Zealand. Rural school principals in Australia are most likely among the three countries to report that shortages of teaching personnel hinder learning. This could suggest that policies and structures can play a role in ameliorating or exacerbating rural educational disadvantage. We conclude with questions and recommendations for future research.


2020 ◽  
Vol 8 (6) ◽  
pp. 3228-3231

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).


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