title: Classification and regression algorithms for WEKA implemented in Python

authors: Beckham, Christopher J.

subjects: Computer Science

abstract: WEKA is a popular machine learning workbench written in Java that allows users to easily classify, process, and explore data. There are many ways WEKA can be used: through the WEKA Explorer, users can visualise data, train classifiers and examine performance metrics; in the WEKA Experimenter, datasets and algorithms can be compared in an automated fashion; or, it can simply be invoked on the command-line or used as an external library in a Java project.

text: Classification and regression algorithms for WEKA implemented in Python WEKA is a popular machine learning workbench written in Java that allows users to easily classify, process, and explore data. There are many ways WEKA can be used: through the WEKA Explorer, users can visualise data, train classifiers and examine performance metrics; in the WEKA Experimenter, datasets and algorithms can be compared in an automated fashion; or, it can simply be invoked on the command-line or used as an external library in a Java project.

year: 2015-10

title: Digital technologies and online learning in primary education (New Zealand)

authors: Forbes, Dianne Leslie

abstract: Two key sources of research on digital technologies and online learning come in the form of largescale surveys of schools. First, Research New Zealand’s survey (Johnson, Maguire, and Wood 2017) of more than 300 primary schools reports that schools use a mix of desktop devices, laptops, Chromebooks, and tablets. Findings indicate that most New Zealand schools have a strategic plan for the use of digital technologies in learning, incorporating consideration of safety, teacher professional development, and infrastructure. Increasingly, schools seek input from students on the use of digital technologies for learning. Most schools make use of Cloud platform resources for teaching and learning, with Google Classroom being the most popular. A majority of students access online learning resources, including online educational games.
Parallel to the work of Research New Zealand, Bolstad (2017), working for the New Zealand Council of Educational Research, surveyed parents and school leaders nationally, about the role and impact of digital technologies for learning. Teachers report that the use of digital technologies is often limited to practising skills, searching, and presenting documents and slideshows. Parents indicated that they valued opportunities for learning through digital technologies at school, alongside a balance of other learning activities and opportunities.
While the large surveys paint a broad picture of the use of digital technologies in New Zealand primary schools, there is a proliferation of small-scale research studies. A popular focus for these in recent years is mobile learning, particularly the use of iPads in primary school classrooms, learning with apps and mixed realities (virtual/augmented reality) (e.g., Calder and Murphy 2017; Cowie and Williams 2013).

text: Digital technologies and online learning in primary education (New Zealand) Two key sources of research on digital technologies and online learning come in the form of largescale surveys of schools. First, Research New Zealand’s survey (Johnson, Maguire, and Wood 2017) of more than 300 primary schools reports that schools use a mix of desktop devices, laptops, Chromebooks, and tablets. Findings indicate that most New Zealand schools have a strategic plan for the use of digital technologies in learning, incorporating consideration of safety, teacher professional development, and infrastructure. Increasingly, schools seek input from students on the use of digital technologies for learning. Most schools make use of Cloud platform resources for teaching and learning, with Google Classroom being the most popular. A majority of students access online learning resources, including online educational games.
Parallel to the work of Research New Zealand, Bolstad (2017), working for the New Zealand Council of Educational Research, surveyed parents and school leaders nationally, about the role and impact of digital technologies for learning. Teachers report that the use of digital technologies is often limited to practising skills, searching, and presenting documents and slideshows. Parents indicated that they valued opportunities for learning through digital technologies at school, alongside a balance of other learning activities and opportunities.
While the large surveys paint a broad picture of the use of digital technologies in New Zealand primary schools, there is a proliferation of small-scale research studies. A popular focus for these in recent years is mobile learning, particularly the use of iPads in primary school classrooms, learning with apps and mixed realities (virtual/augmented reality) (e.g., Calder and Murphy 2017; Cowie and Williams 2013).

year: 2019

title: Māori data sovereignty and privacy

authors: Kukutai, Tahu

abstract: Privacy is a fundamental human right. One of its most important aspects is information privacy – providing individuals with control over the way in which their personal data is collected, used, disclosed and otherwise handled. Existing information privacy regulation neither recognises nor protects the collective privacy rights of Indigenous peoples. This paper explores Indigenous data
privacy, and the challenges and opportunities, in the context of Aotearoa. It has two aims: to identify gaps in existing data privacy approaches with regards to Indigenous data, and to provide a foundation for progressing alternative privacy paradigms. We argue that while personal data protection is necessary, it is insufficient to meet the needs of Māori and Aotearoa more broadly. In so doing, we draw on three areas of research: Indigenous and Māori data sovereignty; data and information privacy,
including collective privacy; and Māori and Indigenous privacy perspectives. We examine key features of the Aotearoa privacy context – including the Privacy Act 2020 (NZ) – and consider the implications of te Tiriti o Waitangi and tikanga Māori for alternative privacy approaches. Future options, including legal and extra-legal measures, are proposed.

text: Māori data sovereignty and privacy Privacy is a fundamental human right. One of its most important aspects is information privacy – providing individuals with control over the way in which their personal data is collected, used, disclosed and otherwise handled. Existing information privacy regulation neither recognises nor protects the collective privacy rights of Indigenous peoples. This paper explores Indigenous data
privacy, and the challenges and opportunities, in the context of Aotearoa. It has two aims: to identify gaps in existing data privacy approaches with regards to Indigenous data, and to provide a foundation for progressing alternative privacy paradigms. We argue that while personal data protection is necessary, it is insufficient to meet the needs of Māori and Aotearoa more broadly. In so doing, we draw on three areas of research: Indigenous and Māori data sovereignty; data and information privacy,
including collective privacy; and Māori and Indigenous privacy perspectives. We examine key features of the Aotearoa privacy context – including the Privacy Act 2020 (NZ) – and consider the implications of te Tiriti o Waitangi and tikanga Māori for alternative privacy approaches. Future options, including legal and extra-legal measures, are proposed.

year: 2023