Learning Analytics and Learning Technologies
With expertise in Learning Analytics and Learning Technologies, we explore how technology can be harnessed to make learning environments more engaging. Our work is applied in both the education sector and professional and industry environments.
Our Computer Science Education Research (CSER) group specialises in Learning Analytics and Learning Technologies. It is particularly concerned with supporting engaging and effective computer science and software engineering education, through:
- learning analytics
- innovative learning approaches
- online learning environments.
The CSER group leads the CSER Digital Technologies Education Program, a national education program targeting K-12 computer science education, undertaking both applied and fundamental research into K-12 computer science concept development.
Research impact
The CSER group aims to facilitate technology-enabled education and training that revolutionises learning environments’ effectiveness.
The group’s research has been applied nationally, including to:
- guide design of the University of Adelaide’s Computer Science Education and Research Digital Technologies Education Program massively open online courses (MOOCs)
- provide a national online learning program to support K-12 computer science education, developed in collaboration with Google Australia and New Zealand, and supported by the Commonwealth Department of Education and Training.
Higher degrees by research
Whether you intend to work in research or industry, a higher degree by research can give you a competitive edge throughout your career. Find out more about studying a Master of Philosophy or Doctor of Philosophy.
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Our researchers
We have expertise across a wide range of areas. Many of our researchers are available to assist with research project supervision for Master of Philosophy and Doctor of Philosophy students. To enquire about consulting services or working with us on a research project, please contact the researchers listed below.
Research team Expertise Professor Katrina Falkner Learning analytics and learning technologies; Distributed and intelligent technologies Associate Professor Nick Falkner Dr Claudia Szabo Dr Rebecca Vivian Dr Thushari Atapattu Learning analytics and learning technologies; Machine learning and artificial intelligence -
Consulting services
Our Learning Analytics and Learning Technologies group regularly consults on designing science-, engineering- and mathematics-focused online learning environments. We also evaluate similarly oriented learning initiatives and interventions.
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Publications
Our work is regularly published across a wide range of journals and other media outlets.
News
CSER has developed a teamwork dashboard, founded on learning analytics, learning theory and teamwork models that analyses students’ online teamwork discussion data and visualises the team mood, role distribution and emotional climate.
Researchers from the CSER group have developed a visualisation dashboard to demonstrate the emergent themes from Massive Open Online Courses (MOOC) discussion contents.
A Report on the Careers Development Landscape in Australia
Career development education can play a critical role in shaping students’ career and study choices, especially regarding STEM study and careers. This brings us to question, what is Australia’s current career development landscape?
Related areas of research
Smart Technologies and Mathematics
From sensor and advanced technologies, to big data analytics, advances in Smart Technologies and Mathematics are transforming society. Our research is at the forefront of data-driven decision-making and technological innovation.