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Found 18 matching student topics

Displaying 1–12 of 18 results

Interactive Learning Environments for STEM and Environmental Education

Many organisations create interactive learning environments for STEM and Environmental Education (e.g. Water authorise, regional councils, museums, universities). The research is often focused on behaviour change as learning outcomes can be difficult to assess in informal settings. The aim of this project is to investigate the features of interactive learning environments for STEM and Environmental Education that have implications for learning, engagement and behaviour change. This research will contribute to the creation of an interaction and immersion framework for STEM …

Study level
Vacation research experience scheme
Faculty
Faculty of Education
School
School of Teacher Education and Leadership
Research centre(s)

Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students

Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students

Study level
PhD, Master of Philosophy
Faculty
Faculty of Education
School
School of Teacher Education and Leadership
Research centre(s)

Human-in-the-loop techniques to debug machine learning models

Machine learning models are being deployed in critical domains such as healthcare, education and fintech. The current approach to deploying machine learning models is based on considering a data-centric approach where the models are evaluated using performance measures on a test set. However, the high performance of the model on test data is not indicative of its reliability,An important aspect of reliability is in the understanding of what exactly a machine learning model encodes, and to verify if it learns …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Information Systems
Research centre(s)

Deep learning for robotics in open-world conditions

To fully integrate deep learning into robotics, it's important that deep learning systems can reliably estimate the uncertainty in their predictions. This allows robots to treat a deep neural network like any other sensor and use the established Bayesian techniques to fuse the network’s predictions with prior knowledge or other sensor measurements or to accumulate information over time.Deep learning systems typically return scores from their softmax layers that are proportional to the system’s confidence. They are not calibrated probabilities and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)

Machine learning for wildlife monitoring

This project will investigate methods to monitor wildlife using machine learning applied to aerial imagery.While it's highly desirable to use drones and aerial footage to monitor wildlife, there are substantial challenges created by the nature of the data and target wildlife.This, combined with the vast nature of any collected aerial data, makes manual analysis difficult. This challenge motivates the development of machine learning methods to automatically process data and perform tasks, such as:detecting target animalscounting herd animalsclassifying land useassessing environment …

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Data Science

Virtual learning environments

The Samford Ecological Research Facility (SERF ) is part of QUT’s research infrastructure to support research that aims to better understand the impacts of urbanisation on natural environments. The purpose of this project is to create a digital version of SERF using the Visualisation and eResearch (ViseR)’s myGlobe platform to spatially link multiple datasets from research as well as learning and teaching. In addition to spatial organisation of the datasets, digital SERF will include additional features to support: preparation for …

Study level
Vacation research experience scheme
Faculty
Faculty of Education
School
School of Teacher Education and Leadership
Research centre(s)

Understanding social and emotional learning in science classrooms - Project 2

Start Date- After 18th NovemberEnd Date- On or before 26th FebruaryPrecise dates will be negotiated with the successful VRES candidate. The timeframe will fall within the 8-13 week VRES period.Project 2- Exploring affordances and constraints of video-conferencing technologies in studies of classroom social bondsI am offering 2 VRES projects within my Studies of Emotion and Affect in Education Lab (SEAEL). The successful VRES candidate for Project 2 will have the opportunity to work in a collaborative research environment with senior …

Study level
Vacation research experience scheme
Faculty
Faculty of Education
School
School of Teacher Education and Leadership
Research centre(s)

Centre for Inclusive Education

Gesture-based control of underwater helper-bots

Underwater robotic systems have been in use for several decades. In recent years, various groups have been adding manipulators and other payloads to increase their utility. However, their role has primarily been monitoring and mapping the oceans without human interaction.The next frontier is to have human divers and robotic system collaborate safely and productively in the same space to jointly complete complex tasks. This will involve the robotic system directly understanding and interacting with the diver in a non-verbal manner. …

Study level
PhD, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Machine learning in a very different future

Machine learning aims to make predictions about novel data based on associations and relationships from past data. This approach rests on the assumption that the past is representative of the future.We're exploring how statistical machine learning might be used knowing that aspects of the future are likely to be fundamentally different to the past that generated the historical training data.Our aim is to is to look for fruitful ways to couple simulation and inference so that we can take advantage …

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Computer Science
Research centre(s)
Centre for Data Science

Understanding social and emotional learning in science classrooms - Project 1

Project Start - After 18th November Project End - On or before 26th FebruaryPrecise dates will be negotiated with successful VRES candidates and will be within the VRES period of 8-13 weeks.I will host 2 VRES candidates, in two projects (Project 1 and Project 2)Project 1 - Factors that influence the dynamics of students’ emotional experiences during science inquiryDescriptionScience inquiry is an important aspect of learning school science that encourages student engage and scientific literacy development. There is currently limited …

Study level
Vacation research experience scheme
Faculty
Faculty of Education
School
School of Teacher Education and Leadership
Research centre(s)

Centre for Inclusive Education

Equation learning for partial differential equation models of stochastic random walk models

Random walk models are often used to represent the motion of biological cells. These models are convenient because they allow us to capture randomness and variability. However, these approaches can be computationally demanding for large populations.One way to overcome the computational limitation of using random walk models is to take a continuum limit description, which can efficiently provide insight into the underlying transport phenomena.While many continuum limit descriptions for homogeneous random walk models are available, continuum limit descriptions for heterogeneous …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Professional Learning

Potential projects under the topic of Professional Learning include:Professional Learning Mentoring Chain using an *Arts Immersion approach to learning and teachingProfessional learning for 21st century - self-directed and continuous life-long learningHuman capacity development vs school educationTeacher professional identity, self-efficacy, possible selves

Study level
PhD, Master of Philosophy
Faculty
Faculty of Education
School
School of Teacher Education and Leadership
Research centre(s)

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