title: How might the use of apps influence students' learning experiences? Exploring a socio-technological assemblage

authors: Calder, Nigel Stuart

abstract: In this paper, we report on primary-school students’ views of their learning experiences when they engaged with mathematical phenomena through apps. The students commented on how they used a range of digital tools within the apps to solve problems, and we consider how the affordances of the mobile technologies, including multi-representation, dynamic and haptic, might influence the learning experiences. In particular, we focus on the interplay between the affordances of the mobile technologies with other social and pedagogical aspects, and ask how the assemblage of social and technological entities might influence mathematical learning experiences.

text: How might the use of apps influence students' learning experiences? Exploring a socio-technological assemblage In this paper, we report on primary-school students’ views of their learning experiences when they engaged with mathematical phenomena through apps. The students commented on how they used a range of digital tools within the apps to solve problems, and we consider how the affordances of the mobile technologies, including multi-representation, dynamic and haptic, might influence the learning experiences. In particular, we focus on the interplay between the affordances of the mobile technologies with other social and pedagogical aspects, and ask how the assemblage of social and technological entities might influence mathematical learning experiences.

year: 2017

title: Minimising carbon emissions and energy expended for the New Zealand transport sector through to 2050

authors: Walmsley, Michael R.W.

abstract: Carbon Emissions Pinch Analysis (CEPA) and Energy Return on Energy Investment (EROI) analysis are combined to investigate the feasibility of New Zealand (NZ) reaching a 1990 emission levels for transport in 2050. The transportation sector traditionally has been a difficult area to transition to high levels of renewable energy because of the strong dependency on fossil fuels. Multiple scenarios for reducing transport emissions are analysed. With NZ’s unique mix of renewable energy resources the analysis demonstrates that NZ is in a very good position to sustainably meet their future transport needs provided substantial commitment is made to transition light vehicle fleet to hybrid vehicles, plug-in hybrids vehicles and electric vehicles by 2050. Electrification of rail within and between major centres will also require major political commitment. The resulting increase in electricity demand for transport is 3.6 TWh (or 4.8 % of electricity generation in NZ). We show the minimum amount of biofuel renewable production to achieve the goal of 1990 emissions level in 2050 is 46 PJ. Delivering 46 PJ is expected to be well within the potential biofuel production capacity of NZ. The delivery of economically competitive renewable liquid biofuels will also require close cooperation and system integration with other energy systems like the electricity sector and industrial process heat sector.

text: Minimising carbon emissions and energy expended for the New Zealand transport sector through to 2050 Carbon Emissions Pinch Analysis (CEPA) and Energy Return on Energy Investment (EROI) analysis are combined to investigate the feasibility of New Zealand (NZ) reaching a 1990 emission levels for transport in 2050. The transportation sector traditionally has been a difficult area to transition to high levels of renewable energy because of the strong dependency on fossil fuels. Multiple scenarios for reducing transport emissions are analysed. With NZ’s unique mix of renewable energy resources the analysis demonstrates that NZ is in a very good position to sustainably meet their future transport needs provided substantial commitment is made to transition light vehicle fleet to hybrid vehicles, plug-in hybrids vehicles and electric vehicles by 2050. Electrification of rail within and between major centres will also require major political commitment. The resulting increase in electricity demand for transport is 3.6 TWh (or 4.8 % of electricity generation in NZ). We show the minimum amount of biofuel renewable production to achieve the goal of 1990 emissions level in 2050 is 46 PJ. Delivering 46 PJ is expected to be well within the potential biofuel production capacity of NZ. The delivery of economically competitive renewable liquid biofuels will also require close cooperation and system integration with other energy systems like the electricity sector and industrial process heat sector.

year: 2014-09-20

title: Improving prediction of potential for treatment completion at Tai Aroha

authors: Astridge Clarke,  Abigail Darcy

subjects: Treatment

abstract: Participant non-completion can be a major problem for treatment programmes. Staff may try to minimise non-completion by deciding who to select for treatment using professional intuition and referral information. It can be difficult for treatment staff to make these decisions regarding the potential for programme completion due to a lack of clear guidelines about what information to consider. This lack of clear guidelines can increase susceptibility to biases, and lead to unreliable and potentially inaccurate decisions. Research has identified ‘simple rules’ that are tools to aid decision-making quickly, effectively, and consistently. Therefore, using past treatment data, we1 aimed to identify predictors of programme completion vs. non-completion at Tai Aroha—a residential treatment programme based in Hamilton—to explore whether a “simple rule” can be developed from information readily available at the time of referral, to support staff decision-making when selecting offenders to attend treatment, with the potential to increase programme completion. We were successful in the development of a simple rule to aid Tai Aroha staff selection decisions. The implications, and limitations of our rule and our study are discussed, and future research relating to simple rules are identified.

text: Improving prediction of potential for treatment completion at Tai Aroha Participant non-completion can be a major problem for treatment programmes. Staff may try to minimise non-completion by deciding who to select for treatment using professional intuition and referral information. It can be difficult for treatment staff to make these decisions regarding the potential for programme completion due to a lack of clear guidelines about what information to consider. This lack of clear guidelines can increase susceptibility to biases, and lead to unreliable and potentially inaccurate decisions. Research has identified ‘simple rules’ that are tools to aid decision-making quickly, effectively, and consistently. Therefore, using past treatment data, we1 aimed to identify predictors of programme completion vs. non-completion at Tai Aroha—a residential treatment programme based in Hamilton—to explore whether a “simple rule” can be developed from information readily available at the time of referral, to support staff decision-making when selecting offenders to attend treatment, with the potential to increase programme completion. We were successful in the development of a simple rule to aid Tai Aroha staff selection decisions. The implications, and limitations of our rule and our study are discussed, and future research relating to simple rules are identified.

year: 2023