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Home / Publications / ePress Series / Occasional and Discussion Papers

Occasional and Discussion Papers

Growing Kaupapa Māori Research Capabilities and Confidence Through Whanaungatanga as Research Mentorship

The Ngā Wai a Te Tūī – Hiringa Hauora Summer Research Mentorship is a kaupapa Māori collaboration to increase hauora Māori (Māori wellbeing) research capacity. The idea of research internships is not new, nor is a focus on hauora Māori. What is distinctive about this summer mentorship is its kaupapa Māori approach to support a […]

A Comprehensive Review of Deep Learning Algorithms

Deep learning algorithms are a subset of machine learning algorithms that aim to explore several levels of the distributed representations from the input data. Recently, many deep learning algorithms have been proposed to solve traditional artificial intelligence problems. In this review paper, some of the up-to-date algorithms of this topic in the field of computer […]

Formative vs Summative Quizzes as Regular Feedback on Moodle in Computer Science Courses: Which do Students Prefer?

Deferred feedback on summative assessments can demotivate students and affect their overall learning performance, and it can change their study routines. The aim of this study is to compare and analyse students’ perceptions about summative and formative regular feedback: whether they are better motivated by being given marks, or by regular feedback without any marks. […]

Asynchronous Instructional Videos During COVID-19 Emergency Remote Teaching: Student Experiences Within a New Zealand ITP

The COVID-19 pandemic created unprecedented challenges for tertiary education institutions worldwide. The crisis placed enormous pressure on educational institutions as they were required to pivot suddenly to teaching fully online. In New Zealand, Tertiary Education Organisations (TEOs) were forced to close on Wednesday 25 March 2020 after New Zealand moved to Alert Level 4,1 necessitating […]

The Response of Auckland Construction Firms to Recent Technological Changes

Over the past decade, the impacts of technology on the construction sector have been profound. This trend presents significant challenges for construction firms in an environment characterised by skilled labor shortages and an aging workforce that tends to struggle to accept new technology. The purpose of this research is to determine the types of technologies […]

Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns

Authentication methods based on human traits, including fingerprint, face, iris, and palm print, have developed significantly, and currently they are mature enough to be reliably considered for human identification purposes. Recently, as a new research area, a few methods based on non-facial skin features such as vein patterns have been developed. This literature review paper […]

Institutional Determinants of Carbon Financial Accounting Practices

This paper investigates how and why firms affected by Emissions Trading Schemes (ETSs) are financially accounting for carbon in a voluntary setting. Using institutional theory, the authors seek to identify the determinants of a firm’s decision to adopt a particular carbon financial accounting practice. We identify the recognition and measurement practices for carbon-emission allowances using […]

Are We Building Agile Graduate Capabilities to Meet Automotive Service Industry Trends?

The inexorable use of electronic technology and rising user expectations of motorised transport are quickly moving the service industry towards a rapidly changing environment. To maintain the ability to deal with new and emerging technologies, industry leaders will need to rethink how they will address their staffing strategies. In this research, we found that the […]

Models Applied in Stock Market Prediction: A Literature Survey

Stock market prices are intrinsically dynamic, volatile, highly sensitive, nonparametric, nonlinear and chaotic in nature, as they are influenced by a myriad of interrelated factors. As such, stock market time series prediction is complex and challenging. Many researchers have been attempting to predict stock market price movements using various techniques and different methodological approaches. Recent […]

  • Author(s): Wajira Dassanayake, Chandimal Jayawardena, Iman Ardekani and Hamid Sharifzadeh
  • Date of Publication: 07.03.2019
  • ISSN: 2324-3635

Medium-density dwellings in Auckland and the building regulations

National thermal standards have historically been set to minimise winter heating energy in detached houses. It is uncertain whether these standards are optimal for the increasing number of joined, medium-density dwellings when summer and winter conditions are considered. Using freely available software, annual heating energy use and summertime peak temperatures were calculated for a number […]

  • Author(s): Roger Birchmore
  • ISSN: 2324-3635
  • Date of Publication: 25.07.18
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