Monday 5 August 2019
Start Date
5-8-2019 10:30 AM
End Date
5-8-2019 11:30 AM
Subjects
Learning analytics, Generic skills, Data analysis, Self management, Learning strategies, Problem solving, Cooperation, Group activities, Measurement, Network analysis
Abstract
The unprecedented opportunities to collect data about learning and contexts in which learning occurs has attracted great attention in education. The use of data analytics and machine learning methods have offered much potential to address many relevant questions in education. This talk will focus on the use of learning analytics to measure 21st-century skills in education and outline the types of data commonly used. It will also discuss approaches that are used for analysis and modelling of relevant learning processes and outline the ways in which learning analytics can be used to track learning progression and how the validity of the findings with data analytics is assured. Numerous empirical studies will be drawn upon to look at self-regulated learning, learning strategies, and problem solving in individual and group activities.
Recommended Citation
Gašević, D. (2019, August 05). Using learning analytics to measure 21st-century skills [Paper presentation]. Research Conference 2019 - Preparing students for life in the 21st century: Identifying, developing and assessing what matters. https://research.acer.edu.au/research_conference/RC2019/5august/3
Using learning analytics to measure 21st century skills presentation
Copyright Statement
Copyright Australian Council for Educational Research 2019
Place of Publication
Melbourne, Australia
Publisher
Australian Council for Educational Research (ACER)
ISBN
9781742865546
Included in
Curriculum and Instruction Commons, Educational Assessment, Evaluation, and Research Commons
Using learning analytics to measure 21st-century skills
The unprecedented opportunities to collect data about learning and contexts in which learning occurs has attracted great attention in education. The use of data analytics and machine learning methods have offered much potential to address many relevant questions in education. This talk will focus on the use of learning analytics to measure 21st-century skills in education and outline the types of data commonly used. It will also discuss approaches that are used for analysis and modelling of relevant learning processes and outline the ways in which learning analytics can be used to track learning progression and how the validity of the findings with data analytics is assured. Numerous empirical studies will be drawn upon to look at self-regulated learning, learning strategies, and problem solving in individual and group activities.