@inbook{dfb004a144a243f288513926d9f819fe,
title = "The use of data analytics to support the development of assessment practices in higher education",
abstract = "In this chapter, we reflect on innovative applications of learning analytics to support assessment and feedback practices at two universities. In our first application, we explore how computer-based assessments in conjunction with dispositional learning analytics can help educators to provide appropriate feedback. In our second application, we explore why it is important to include learning design metrics in learning analytics applications. Finally, in our third application, we illustrate how, through the use of assessment data and learning analytics, some unique and perhaps unexpected results can be identified in terms of assessment alignment across modules.",
keywords = "Assessment, Automated feedback, Computer-based assessment, Formative assessment, Learning analytics, Learning gains",
author = "Bart Rienties and Dirk Tempelaar and Quan Nguyen and Jekaterina Rogaten",
note = "Not applicable: review study not using data",
year = "2024",
month = oct,
day = "29",
doi = "10.4337/9781800881600.00019",
language = "English",
isbn = "9781800881594",
series = "Elgar Handbooks in Education",
publisher = "Edward Elgar Publishing",
pages = "194--209",
editor = "Carol Evans and Michael Waring",
booktitle = "Research Handbook on Innovations in Assessment and Feedback in Higher Education",
address = "United Kingdom",
}