Enhancing the teaching and learning of computational estimation in year 6

There have been repeated calls for computational estimation to have a more prominent position in mathematics teaching and learning but there is still little evidence that quality time is being spent on this topic. Estimating numerical quantities is a useful skill for people to be able to use in their everyday lives in order to meet their personal needs. It is also accepted that number sense is an important component of mathematics learning (McIntosh, Reys, Reys, Bana, & Farrell, 1997; Paterson, 2004) and that computational estimation is an important part of number sense (Edwards, 1984; Markovits & Sowder, 1988; Schoen, 1994). This research hoped to contribute towards establishing computational estimation as a more accepted and worthwhile part of the mathematics curriculum. The study focused on a professional learning intervention, which used an action research approach, and was designed to develop teachers’ pedagogical content knowledge of computational estimation. The study utilised a multiple case study model set within a social constructivist and sociocultural paradigm to investigate the teachers’ involvement in this intervention. Case studies selected were completed focussing on three of the teachers and their classes

An exploratory case study using an expert learning process designed to promote number sense in a year 6 classroom

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Assaulting Matilda: a collection of sonnets

Scholarships & Prizes Office. University of Sydne

Burst Denoising with Kernel Prediction Networks

We present a technique for jointly denoising bursts of images taken from a handheld camera. In particular, we propose a convolutional neural network architecture for predicting spatially varying kernels that can both align and denoise frames, a synthetic data generation approach based on a realistic noise formation model, and an optimization guided by an annealed loss function to avoid undesirable local minima. Our model matches or outperforms the state-of-the-art across a wide range of noise levels on both real and synthetic data.Comment: To appear in CVPR 2018 (spotlight). Project page: http://people.eecs.berkeley.edu/~bmild/kpn

What Offline and Online Technologies do Higher Education Students Use to Complete Assessment Tasks?

A Personal Learning Environment (PLE) is a system, usually self-constructed, that enables learners to manage their own learning and may include tools, services, online resources and communities. The aim of the project: to determine which technologies students use when they prepare, complete and submit assessment tasks such as assignments and examinations. The participants (n=39): 24 students from Edith Cowan University in WA and 15 students from Avondale in NSW. All students were undergraduate, on-campus students from Education and Arts courses, mainly female, most were aged between 20-24 years. Previous research has defined PLEs (Dabbagh & Kitsantas, (2012), especially in social constructivist contexts using learner-centred pedagogies (van Harmelen, 2008; Wild, Mdritscher, & Sigurdarson, 2008). Gosper et al. (2013; 2014) have outlined the use of technologies for learning in higher education in general. The methodology of the project used a mixed methods approach using a modification of Clark et al.’s (2009) methods: 1) online questionnaire; 2) focus group; and 3) mapping exercise. Students used a moderate range of formal (provided by the institution) and informal (student-selected) technologies that were used in social and individual contexts, but most technology use was informal. The range of locations in which technologies were used was wide, and reflected a high value placed on mobility and Wi-Fi connectivity

What Offline and Online Technologies do Higher Education Students Use to Complete Assessment Tasks?

A Personal Learning Environment (PLE) is a system, usually self-constructed, that enables learners to manage their own learning and may include tools, services, online resources and communities. The aim of the project: to determine which technologies students use when they prepare, complete and submit assessment tasks such as assignments and examinations. The participants (n=39): 24 students from Edith Cowan University in WA and 15 students from Avondale in NSW. All students were undergraduate, on-campus students from Education and Arts courses, mainly female, most were aged between 20-24 years. Previous research has defined PLEs (Dabbagh & Kitsantas, (2012), especially in social constructivist contexts using learner-centred pedagogies (van Harmelen, 2008; Wild, Mdritscher, & Sigurdarson, 2008). Gosper et al. (2013; 2014) have outlined the use of technologies for learning in higher education in general. The methodology of the project used a mixed methods approach using a modification of Clark et al.’s (2009) methods: 1) online questionnaire; 2) focus group; and 3) mapping exercise. Students used a moderate range of formal (provided by the institution) and informal (student-selected) technologies that were used in social and individual contexts, but most technology use was informal. The range of locations in which technologies were used was wide, and reflected a high value placed on mobility and Wi-Fi connectivity