Spatial variability of satured soil hydraulic conductivity in the region of Araguaia River - Brazil.

This study evaluates the spatial variability of saturated hydraulic conductivity in the soil in an area of 51,850 ha at the headwaters of the Araguaia River MT/GO. This area is highly vulnerable because it is a location of recharging through natural water infiltration of the Guarani Aquifer System and an area of intense increases in agriculture since its adoption by growers in the last 30 years. Soil samples were collected at 383 points, geographically located by GPS. The samples were collected from depths of 0 - 20 cm and 60 - 80 cm. Exploratory statistics and box-plot were used in the descriptive analysis and semivariogram were constructed to determine the spatial model. The exploratory analysis showed that the mean hydraulic conductivity in the superficial layer was less than at the level of 60-80 cm; however, the greatest variability evaluated with a coefficient of variation also was from this layer. Data tended towards a normal distribution. These results can be explained by the greater soil compaction in the superficial layer. The semivariogram models, adjusted for the two layers, were exponential and demonstrated moderate and strong dependence, with ranges of 5000 and 3000 utm respectively. It was concluded that soil use is influencing the spatial distribution model of the hydraulic conductivity in the region.

Mathematical modelling in the early school years

In this article we explore young children's development of mathematical knowledge and reasoning processes as they worked two modelling problems (the Butter Beans Problem and the Airplane Problem). The problems involve authentic situations that need to be interpreted and described in mathematical ways. Both problems include tables of data, together with background information containing specific criteria to be considered in the solution process. Four classes of third-graders (8 years of age) and their teachers participated in the 6-month program, which included preparatory modelling activities along with professional development for the teachers. In discussing our findings we address: (a) Ways in which the children applied their informal, personal knowledge to the problems; (b) How the children interpreted the tables of data, including difficulties they experienced; (c) How the children operated on the data, including aggregating and comparing data, and looking for trends and patterns; (c) How the children developed important mathematical ideas; and (d) Ways in which the children represented their mathematical understandings.

An evaluation of the pattern and structure mathematics awareness program in the early school years

This paper reports a 2-year longitudinal study on the effectiveness of the Pattern and Structure Mathematical Awareness Program (PASMAP) on students’ mathematical development. The study involved 316 Kindergarten students in 17 classes from four schools in Sydney and Brisbane. The development of the PASA assessment interview and scale are presented. The intervention program provided explicit instruction in mathematical pattern and structure that enhanced the development of students’ spatial structuring, multiplicative reasoning, and emergent generalisations. This paper presents the initial findings of the impact of the PASMAP and illustrates students’ structural development.

Start Smart : QUT’s trial support program for commencing undergraduate students who have not completed year 12 in the past two years

Commencing students in undergraduate degrees who identify as mature age students experience particular issues when faced with enrolment into university as an adult learner (Bird & Morgan, 2003). In line with QUT’s commitment to “supporting all commencing students to adjust successfully to study at QUT by providing a strong transition experience” (QUT, 2008, 6.2.1), the Start Smart trial program was developed and implemented for Semester 1, 2012. The Start Smart trial program consists of an orientation event, wrapped around and supported by existing First Year Experience (FYE) and Retention strategies within QUT, namely the Student Success Program (SSP) and the Peer Programs Strategy (PPS). This report examines the motivations for designing a program as a response to the needs of a cohort that are unique amongst all commencing undergraduate students. Participants will be asked to consider the implications of delivering special and unique orientation events to specific cohorts, and the long term sustainability of such programs within their own university structures.

Good Starts for recently arrived youth with refugee backgrounds : promoting wellbeing in the first three years of settlement in Melbourne, Australia

This report describes the key findings of a longitudinal study (2004—2008) investigating the experiences of settlement among a group of 120 recently arrived young people with refugee backgrounds settling in Melbourne, Australia. Each year, less than one per cent of the world’s refugees are offered resettlement in one of 18 countries participating in The Office of the United Nations High Commissioner for Refugees (UNHCR) resettlement programme. Australia offers places to around 13,500 people per year, of whom about 26 per cent are between the ages of 10 and 19. What are the experiences of these young people in their early settlement years? How do they negotiate the transition from childhood to adulthood given the traumas of their past and the challenges of their present and future in Australia? What are the key social determinants of wellbeing and good settlement and what can we learn from these young people about what social policies and services will most effectively support them to make successful lives in their new home? This study explores these questions, the overall aim being to identify the key social determinants of wellbeing and settlement and to describe the lived experiences of these young people as they shape their lives in Australia.

Promoting Statistical Literacy Through Data Modelling in the Early School Years

This chapter addresses data modelling as a means of promoting statistical literacy in the early grades. Consideration is first given to the importance of increasing young children’s exposure to statistical reasoning experiences and how data modelling can be a rich means of doing so. Selected components of data modelling are then reviewed, followed by a report on some findings from the third-year of a three-year longitudinal study across grades one through three.