TY  - CHAP
A1  - Schiffner, Daniel
A1  - Ritter, Marcel
A1  - Horn, Florian
A2  - Krömker, Detlef
A2  - Schroeder, Ulrik
T1  - Learning analytics bundle : learning analytics data in a single transparent hierarchical container file for analysis and exchange
T2  - 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
N2  - 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.
KW  - E-Learning
KW  - Informatik
KW  - Kollaboration <Informatik>
KW  - Präsenzlehre
KW  - Hochschule
KW  - Lehre
KW  - Fiber Bundles
KW  - Exchange Format
KW  - Learning Analytics
KW  - Python
KW  - xAPI
Y1  - 2018
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/47951
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-479517
UR  - https://dl.gi.de/bitstream/handle/20.500.12116/16982/Proceedings_complete.pdf
SN  - 978-3-88579-678-7
SN  - 3-88579-678-3
SN  - 1617-5468
N1  - This book is licensed under a Creative Commons BY-SA 4.0 licence.
SP  - 195
EP  - 206
PB  - Gesellschaft für Informatik e.V. (GI)
CY  - Bonn
ER  -