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Learning Analytics in Academic Writing Instruction – Opportunities Provided by Thesis Writer (TW)

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dc.contributor.authorRapp, Christian
dc.contributor.authorOtt, Jakob
dc.contributor.editorIgel, Christoph
dc.contributor.editorUllrich, Carsten
dc.contributor.editorWessner Martin
dc.date.accessioned2017-10-05T22:32:20Z
dc.date.available2017-10-05T22:32:20Z
dc.date.issued2017
dc.description.abstractNo thesis - no graduation. Academic writing poses manifold challenges to students, instructors and institutions. Consequently, the question arose to what extent academic writing instruction can be supported electronically. With Thesis Writer (TW), a domain-specific, technology-supported learning environment for scaffolding academic writing, combined with an online editor optimised for producing academic text was implemented. Recently, a tracking function was also implemented that allows for fine-grained studying of user interaction with the system, and therefore also their writing and learning processes. In the demonstration, the researchers will present the data types collected, the tracking technology, and the learning analytics opportunities that TW provides.en
dc.identifier.isbn978-3-88579-667-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4872
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBildungsräume 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-273
dc.subjectlearning analytics
dc.subjectacademic writing instruction
dc.subjectinstructional technology
dc.titleLearning Analytics in Academic Writing Instruction – Opportunities Provided by Thesis Writer (TW)en
gi.citation.endPage392
gi.citation.startPage391
gi.conference.date05.-08.09.2017
gi.conference.locationChemnitz

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P273 - DeLFI 2017 - Die 15. e-Learning Fachtagung Informatik
DeLFI 2017