title: Graph convolutional LSTM model for traffic delay prediction with uncertainty

authors: Townsend, Dale

subjects: Deep learning

abstract: Traffic flow in an urban environment exhibits a complex spatio-temporal in- teraction. The propogation of traffic flow through a transportation network depends on a number of factors, including the structure of the network and the time of day. Current analysis of this data by road controlling authorities is of- ten simplified and lacks a detailed understanding of how traffic moves through the network. A deep learning model which models both the spatial and tempo- ral interactions present in the data is able to capture complex patterns present in the data and allows for a more detailed understanding of traffic flow. A GC- LSTM model is explored for Hamilton City to predict traffic delay. It is found to have improved prediction accuracy over a standard LSTM by incorporating the spatial structure of the Hamilton road network. Additionally, Bayesian layers are integrated into the model to obtain a probability distribution over each prediction. By quantifying the uncertainty over each prediction, the de- cision making process based on the analysis can be carried out with a higher degree of confidence than a single point prediction from the model.

text: Graph convolutional LSTM model for traffic delay prediction with uncertainty Traffic flow in an urban environment exhibits a complex spatio-temporal in- teraction. The propogation of traffic flow through a transportation network depends on a number of factors, including the structure of the network and the time of day. Current analysis of this data by road controlling authorities is of- ten simplified and lacks a detailed understanding of how traffic moves through the network. A deep learning model which models both the spatial and tempo- ral interactions present in the data is able to capture complex patterns present in the data and allows for a more detailed understanding of traffic flow. A GC- LSTM model is explored for Hamilton City to predict traffic delay. It is found to have improved prediction accuracy over a standard LSTM by incorporating the spatial structure of the Hamilton road network. Additionally, Bayesian layers are integrated into the model to obtain a probability distribution over each prediction. By quantifying the uncertainty over each prediction, the de- cision making process based on the analysis can be carried out with a higher degree of confidence than a single point prediction from the model.

year: 2021

title: Scientists talking to students through videos

authors: Chen, Junjun

subjects: classroom research

abstract: The benefits of connecting school students with scientists are well documented. This paper reports how New Zealand teachers brought scientists into the classrooms through the use of videos of New Zealand scientists talking about themselves and their research. Two researchers observed lessons in 9 different classrooms in which 23 educational videos were shown to students from years 2 to 11 (aged 6–17 years). Seven groups of primary students and 4 groups of secondary students participated in interviews after classroom observations. Eight additional secondary teachers participated in 7 focus group discussions; 4 additional primary teachers participated in 1 focus group discussion. Data were analysed thematically using an inductive approach. This analysis uncovered 4 major functions for the use of videos of scientists talking about their work: bringing scientists into the classroom, scientists talking about science with local relevance, scientists explaining concepts using a multitude of modes and scientists as authentic alternative authorities within the classroom. Taken together, the findings demonstrate that the use of video clips of scientists talking about their work can be an effective and efficient way of engaging students in learning about science and scientists.

text: Scientists talking to students through videos The benefits of connecting school students with scientists are well documented. This paper reports how New Zealand teachers brought scientists into the classrooms through the use of videos of New Zealand scientists talking about themselves and their research. Two researchers observed lessons in 9 different classrooms in which 23 educational videos were shown to students from years 2 to 11 (aged 6–17 years). Seven groups of primary students and 4 groups of secondary students participated in interviews after classroom observations. Eight additional secondary teachers participated in 7 focus group discussions; 4 additional primary teachers participated in 1 focus group discussion. Data were analysed thematically using an inductive approach. This analysis uncovered 4 major functions for the use of videos of scientists talking about their work: bringing scientists into the classroom, scientists talking about science with local relevance, scientists explaining concepts using a multitude of modes and scientists as authentic alternative authorities within the classroom. Taken together, the findings demonstrate that the use of video clips of scientists talking about their work can be an effective and efficient way of engaging students in learning about science and scientists.

year: 2013

title: The display and conservation of taonga Māori - establishing culturally appropriate dislay and conversation facilities: Mahi Māreikura - a work in progress

authors: Whaanga, Hēmi

subjects: Māori art objects

abstract: This paper examines issues relating to the appropriate display and conservation of taonga Māori in the context of a discussion of the establishment of Mahi Māreikura, a room in the University of Waikato library that is dedicated primarily to the display and conservation of the collected taonga and works of the late Dr. Pei te Hurinui Jones and a collection of the work of his colleague and close relative, Professor Bruce Biggs.

text: The display and conservation of taonga Māori - establishing culturally appropriate dislay and conversation facilities: Mahi Māreikura - a work in progress This paper examines issues relating to the appropriate display and conservation of taonga Māori in the context of a discussion of the establishment of Mahi Māreikura, a room in the University of Waikato library that is dedicated primarily to the display and conservation of the collected taonga and works of the late Dr. Pei te Hurinui Jones and a collection of the work of his colleague and close relative, Professor Bruce Biggs.

year: 2006