Learning analytics bundle : learning analytics data in a single transparent hierarchical container file for analysis and exchange

  • We propose and create a new data model for learning specific environments and learning analytics applications. This is motivated from the experience in the Fiber Bundle Data Model used for large - time and space dependent - data. Our proposed data model integrates file or stream-based data structures from capturing devices more easily. Learning analytics algorithms are added directly to the data, and formulation of queries and analytics is done in Python. It is designed to improve collaboration in the field of learning analytics. We leverage a hierarchical data structure, where varying data is located near the leaves. Abstract data types are identified in four distinct pathways, which allow storing most diverse data sources. We compare different implementations regarding its memory footprint and performance. Our tests indicate that LeAn Bundles can be smaller than a naïve xAPI export. The benchmarks show that the performance is comparable to a MongoDB, while having the benefit of being portable and extensible.

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Author:Daniel Schiffner, Marcel Ritter, Florian Horn
URN:urn:nbn:de:hebis:30:3-479517
URL:https://dl.gi.de/bitstream/handle/20.500.12116/16982/Proceedings_complete.pdf
ISBN:978-3-88579-678-7
ISBN:3-88579-678-3
ISSN:1617-5468
Parent Title (German):DeLFI 2018 : die 16. E-Learning Fachtagung Informatik der Gesellschaft für Informatik e. V. : 10.-12. September 2018 Frankfurt am Main, Deutschland, Gesellschaft für Informatik: GI-Edition / Proceedings ; Volume 284
Publisher:Gesellschaft für Informatik e.V. (GI)
Place of publication:Bonn
Editor:Detlef Krömker, Ulrik Schroeder
Document Type:Part of a Book
Language:English
Year of Completion:2018
Year of first Publication:2018
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:Gesellschaft für Informatik e. V. (GI), Bonn
Release Date:2018/12/06
Tag:Exchange Format
Fiber Bundles; Learning Analytics; Python; xAPI
GND Keyword:E-Learning; Informatik; Kollaboration <Informatik>; Präsenzlehre; Hochschule; Lehre
Page Number:12
First Page:195
Last Page:206
Note:
This book is licensed under a Creative Commons BY-SA 4.0 licence.
HeBIS-PPN:440073367
Institutes:Informatik und Mathematik / Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
3 Sozialwissenschaften / 37 Bildung und Erziehung / 370 Bildung und Erziehung
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung-Weitergabe unter gleichen Bedingungen