@inbook{81fc7d44e657412ba4e3bb15ee59720a,
title = "Students{\textquoteright} Adoption of Learner Analytics",
abstract = "Learner analytics is an emerging learning and teaching tool which visualises individualised learning data to student users typically via a dashboard or similar platform. In a learner analytics model data are communicated to students directly and often without tutor contact; sense-making is assumed to occur through digital and algorithmic intermediation. Through the collection and analysis of qualitative and quantitative student data, this chapter argues that students{\textquoteright} propensity to adopt analytics is influenced by their existing relationship with data, their discipline, their perception of self and the connections between these factors and the following four benefits: analytics for orientating oneself academically; analytics for improved organization and management; analytics for signposting to support; analytics for fun.",
keywords = "Learner analytics, Platformisation, Student support, Learning and teaching, Educational technology",
author = "{Palmer Foster}, Carly",
year = "2020",
month = aug,
day = "11",
doi = "10.1007/978-3-030-47392-1_8",
language = "English",
isbn = "9783030473914",
series = "Adoption of Data Analytics in Higher Education Learning and Teaching",
publisher = "Springer",
pages = "137--158",
editor = "Dirk Ifenthaler and David Gibson",
booktitle = "Adoption of Data Analytics in Higher Education Learning and Teaching",
address = "Germany",
}