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Change management for learning analytics : Sustainable innovation in productive higher education environments
Ifenthaler, Dirk
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DOI:
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https://doi.org/10.1007/978-3-030-41099-5_15
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URL:
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https://link.springer.com/chapter/10.1007%2F978-3-...
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Document Type:
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Book chapter
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Year of publication:
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2020
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Book title:
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Artificial intelligence supported educational technologies
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Page range:
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261-272
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Publisher:
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Pinkwart, Niels
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Liu, Sannyuya
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Place of publication:
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Cham
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Publishing house:
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Springer International Publishing
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ISBN:
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978-3-030-41098-8 , 978-3-030-41100-8 , 978-3-030-41101-5 , 978-3-030-41099-5
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Publication language:
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English
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Institution:
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Business School > Wirtschaftspädagogik V (Ifenthaler 2015-)
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Subject:
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370 Education
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Abstract:
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Learning analytics draw on an eclectic set of methodologies and data to provide summative, real-time, and predictive insights for improving learning, teaching, organisational efficiency, and decision-making. The implementation of learning analytics at higher education institutions may have broad implications for the organisation and its stakeholders (e.g. students, academic staff, administrators) including changes in learning culture and educational decision-making. Hence, change management seems to be an essential prerequisite when implementing learning analytics, while change management includes approaches to prepare and support organisations and its stakeholders in making sustainable and beneficial organisational change. This chapter presents two case studies which exemplify the process of staff and technological change management processes required for successful implementation of learning analytics. Implications of the case study include insights into functioning implementation strategies highlighting the importance of open communication structures, transparency of decision-making, and the importance of systems thinking approaches.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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