title: Developments in getting GIS technologies into classrooms

authors: Chalmers, Lex

subjects: GIS

abstract: The paper maps progress in the adoption of GIS in secondary education over more than 15 years, As it explores the incentives and impediments in the adoption of GlS in secondary schools, it notes the rich technology base in North America, and benefits of national geography curriculum and support structures in Britain.

text: Developments in getting GIS technologies into classrooms The paper maps progress in the adoption of GIS in secondary education over more than 15 years, As it explores the incentives and impediments in the adoption of GlS in secondary schools, it notes the rich technology base in North America, and benefits of national geography curriculum and support structures in Britain.

year: 2002

title: Generating rule sets from model trees

authors: Holmes, Geoffrey

subjects: computer science

abstract: Knowledge discovered in a database must be represented in a form that is easy to understand. Small, easy to interpret nuggets of knowledge from data are one requirement and the ability to induce them from a variety of data sources is a second. The literature is abound with classification algorithms, and in recent years with algorithms for time sequence analysis, but relatively little has been published on extracting meaningful information from problems involving continuous classes (regression). 
Model trees-decision trees with linear models at the leaf nodes-have recently emerged as an accurate method for numeric prediction that produces understandable models. However, it is well known that decision lists-ordered sets of If-Then rules-have the potential to be more compact and therefore more understandable than their tree counterparts.

text: Generating rule sets from model trees Knowledge discovered in a database must be represented in a form that is easy to understand. Small, easy to interpret nuggets of knowledge from data are one requirement and the ability to induce them from a variety of data sources is a second. The literature is abound with classification algorithms, and in recent years with algorithms for time sequence analysis, but relatively little has been published on extracting meaningful information from problems involving continuous classes (regression). 
Model trees-decision trees with linear models at the leaf nodes-have recently emerged as an accurate method for numeric prediction that produces understandable models. However, it is well known that decision lists-ordered sets of If-Then rules-have the potential to be more compact and therefore more understandable than their tree counterparts.

year: 1999-03

title: Oranga whānau, oranga niho: The oral health status of 5-year-old Māori children. A case study

authors: Te Amo, Kirstin Mei

subjects: Maori health

abstract: Research has shown that the oral health of Māori is far worse than non-Māori across all
age groups. The objective of this research study was to assess the dental wellbeing of
5-year olds with a specific focus on Māori children currently residing in the Hamilton City
region. In addition, this research focused on the impact that social, economic, cultural
and environmental factors have on oral health. A total of 32 participants were invited to
take part in this research: 15 5-year-old children from three selected schools, 15 (of the
children's) caregivers and 2 dental therapists who work in the Hamilton City region.
The findings indicated that overall Māori children and children of lower socio-economic
status had a much higher prevalence of dental caries (tooth decay) than non-Māori
children and children of higher socio-economic status. A number of contributing factors
were shown to be responsible for this disparity including the cultural inappropriateness
of oral health services and resources, affordability, role-modelling, parental awareness
and education, and the transient nature of families.
It was found that no one strategy or intervention will achieve dramatic improvements in
Māori oral health as a concerted effort is required by Local and Central Government, the
Health Sector and Māori communities.

text: Oranga whānau, oranga niho: The oral health status of 5-year-old Māori children. A case study Research has shown that the oral health of Māori is far worse than non-Māori across all
age groups. The objective of this research study was to assess the dental wellbeing of
5-year olds with a specific focus on Māori children currently residing in the Hamilton City
region. In addition, this research focused on the impact that social, economic, cultural
and environmental factors have on oral health. A total of 32 participants were invited to
take part in this research: 15 5-year-old children from three selected schools, 15 (of the
children's) caregivers and 2 dental therapists who work in the Hamilton City region.
The findings indicated that overall Māori children and children of lower socio-economic
status had a much higher prevalence of dental caries (tooth decay) than non-Māori
children and children of higher socio-economic status. A number of contributing factors
were shown to be responsible for this disparity including the cultural inappropriateness
of oral health services and resources, affordability, role-modelling, parental awareness
and education, and the transient nature of families.
It was found that no one strategy or intervention will achieve dramatic improvements in
Māori oral health as a concerted effort is required by Local and Central Government, the
Health Sector and Māori communities.

year: 2007