@inproceedings{08a7763e1e34412c97cd4684ee0d13c6,
title = "Adopting Learning Analytics to Inform Postgraduate Curriculum Design",
abstract = "Understanding students{\textquoteright} sentiment is valuable to understanding the changes that could or should be made in curriculum design at third level. Learning analytics has shown potential for improving student learning experiences and supporting teacher inquiry. Yet, there is limited research that reports on the adoption and actual use of learning analytics to support teacher inquiry. This study captures sentiment of postgraduate students by integrating learning analytics with the steps of teacher inquiry. This study makes two important contributions to teaching and learning literature. First, it reports on the use of learning analytics to support teacher inquiry over three iterations of a business analytics programme between 2016 and 2019. Second, evidence-based recommendations on how to optimise learning analytics to support teacher inquiry are provided.",
keywords = "Curriculum design, Learning analytics, Sentiment analysis",
author = "Denis Dennehy and Kieran Conboy and Jaganath Babu and Johannes Schneider and Joshua Handali and \{vom Brocke\}, Jan and Benedikt Hoffmeister and Armin Stein",
note = "Publisher Copyright: {\textcopyright} 2020, IFIP International Federation for Information Processing.; IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020 ; Conference date: 18-12-2020 Through 19-12-2020",
year = "2020",
doi = "10.1007/978-3-030-64849-7\_20",
language = "English",
isbn = "9783030648480",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "218--230",
editor = "Sharma, \{Sujeet K.\} and Dwivedi, \{Yogesh K.\} and Bhimaraya Metri and Rana, \{Nripendra P.\}",
booktitle = "Re-imagining Diffusion and Adoption of Information Technology and Systems",
}