Read between the lines. An annotation tool for multimodal data for learning.

Autor/inn/en	Di Mitri, Daniele; Schneider, Jan; Klemke, Roland; Specht, Marcus; Drachsler, Hendrik
Titel	Read between the lines. An annotation tool for multimodal data for learning.
Quelle	Aus: Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK19), Tempe, AZ, USA, March 04-08, 2019. New York, NY: Association for Computing Machinery (2019) S. 51-60 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Sammelwerksbeitrag
ISBN	978-1-4503-6256-6
DOI	10.1145/3303772.3303776
Schlagwörter	Forschung; Psychomotorik; Aktivität; Lernen; Computerunterstützter Unterricht; Datenanalyse; Datenerfassung; Tool; Datenverarbeitung
Abstract	This paper introduces the Visual Inspection Tool (VIT) which supports researchers in the annotation of multimodal data as well as the processing and exploitation for learning purposes. While most of the existing Multimodal Learning Analytics (MMLA) solutions are tailor-made for specific learning tasks and sensors, the VIT addresses the data annotation for different types of learning tasks that can be captured with a customisable set of sensors in a flexible way. The VIT supports MMLA researchers in 1) triangulating multimodal data with video recordings; 2) segmenting the multimodal data into time-intervals and adding annotations to the time-intervals; 3) downloading the annotated dataset and using it for multimodal data analysis. The VIT is a crucial component that was so far missing in the available tools for MMLA research. By filling this gap we also identified an integrated workflow that characterises current MMLA research. We call this workflow the Multimodal Learning Analytics Pipeline, a toolkit for orchestration, the use and application of various MMLA tools. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2021/4