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Full-Text Articles in Education
Rethinking Measurement For Accountable Assessment, Mark Wilson
Rethinking Measurement For Accountable Assessment, Mark Wilson
2021-2030 ACER Research Conferences
The underlying model for most formal educational measurement (e.g. standardised tests) is based on a very simple model: the student takes a test (possibly alongside other students). The complications of there being an instructional plan, actual instruction, interpretation of the outcome, and formulation of next steps, are all bypassed in considering how to model the process of measurement. There are some standard exceptions, of course: a pre-test/post-test context will involve two measurements, and attention to gain score, or similar. However, if we wish to design measurement to hold to Lehrer’s (2021) definition of ‘accountable assessment’ – as ‘actionable information for …
Interpreting Learning Progress Using Assessment Scores: What Is There To Gain?, Nathan Zoanetti
Interpreting Learning Progress Using Assessment Scores: What Is There To Gain?, Nathan Zoanetti
2021-2030 ACER Research Conferences
Using assessment scores to quantify gains and growth trajectories for individuals and groups can provide a valuable lens on learning progress for all students. This paper summarises some commonly observed patterns of progress and illustrates these using data from ACER’s Progressive Achievement Test (PAT) assessments. While growth trajectory measurement requires scores for the same individuals over at least three but preferably more occasions, scores from only two occasions are naturally more readily available. The difference between two successive scores is usually referred to as gain. Some common approaches and pitfalls when interpreting individual student gain data are illustrated. It is …
Identifying And Monitoring Progress In Collaboration Skills, Claire Scoular
Identifying And Monitoring Progress In Collaboration Skills, Claire Scoular
2021-2030 ACER Research Conferences
The nature of skills such as collaboration is complex, particularly given that there are internal processes at play. Inferences need to be made to interpret explicit behaviours observed from intentionally designed assessment tasks. This paper centres on the approach to develop hypotheses of skill development into validated learning progressions using assessment data. Understanding a skill from a growth perspective is essential for the effective teaching and development of the skill. The application of Item Response Theory (IRT) allows the interpretation of assessment data as levels of proficiency that we can use to map or monitor progress in collaborative skills.
Key Skills For The 21st Century: An Evidence-Based Review, Esther Doecke, Quentin Maire
Key Skills For The 21st Century: An Evidence-Based Review, Esther Doecke, Quentin Maire
2009 - 2019 ACER Research Conferences
It is vital that education systems deliver quality outcomes for all young people and prepare them well for their future in the economy and society. To do so, many systems have traditionally had a strong focus on developing academic skills, particularly in literacy and numeracy. In recent years, education systems have developed greater expectations that schools will also equip young people with a broader set of skills for the 21st century (e.g. creativity, critical thinking, problem-solving). This paper addresses these developments and the challenges they present. Building on an evidence-based review, this paper asks what are the key skills required …
Using Learning Analytics To Measure 21st-Century Skills, Dragan Gašević
Using Learning Analytics To Measure 21st-Century Skills, Dragan Gašević
2009 - 2019 ACER Research Conferences
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 …