Data collection and processing for a multimodal learning analytic system

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Data collection and processing for a multimodal learning analytic system. / Ruffaldi, Emanuele; Dabisias, Giacomo; Landolfi, Lorenzo; Spikol, Daniel.

Proceedings of 2016 SAI Computing Conference, SAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. s. 858-863 7556079 (Proceedings of 2016 SAI Computing Conference, SAI 2016).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Ruffaldi, E, Dabisias, G, Landolfi, L & Spikol, D 2016, Data collection and processing for a multimodal learning analytic system. i Proceedings of 2016 SAI Computing Conference, SAI 2016., 7556079, Institute of Electrical and Electronics Engineers Inc., Proceedings of 2016 SAI Computing Conference, SAI 2016, s. 858-863, 2016 SAI Computing Conference, SAI 2016, London, Storbritannien, 13/07/2016. https://doi.org/10.1109/SAI.2016.7556079

APA

Ruffaldi, E., Dabisias, G., Landolfi, L., & Spikol, D. (2016). Data collection and processing for a multimodal learning analytic system. I Proceedings of 2016 SAI Computing Conference, SAI 2016 (s. 858-863). [7556079] Institute of Electrical and Electronics Engineers Inc.. Proceedings of 2016 SAI Computing Conference, SAI 2016 https://doi.org/10.1109/SAI.2016.7556079

Vancouver

Ruffaldi E, Dabisias G, Landolfi L, Spikol D. Data collection and processing for a multimodal learning analytic system. I Proceedings of 2016 SAI Computing Conference, SAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. s. 858-863. 7556079. (Proceedings of 2016 SAI Computing Conference, SAI 2016). https://doi.org/10.1109/SAI.2016.7556079

Author

Ruffaldi, Emanuele ; Dabisias, Giacomo ; Landolfi, Lorenzo ; Spikol, Daniel. / Data collection and processing for a multimodal learning analytic system. Proceedings of 2016 SAI Computing Conference, SAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. s. 858-863 (Proceedings of 2016 SAI Computing Conference, SAI 2016).

Bibtex

@inproceedings{d3a8409d7fd4458bb1d384fe8f8e8ff3,
title = "Data collection and processing for a multimodal learning analytic system",
abstract = "Learning Analytic (LA) systems are aimed at supporting teachers in understanding the learning process by analyzing the information and the interaction of students with computer systems. In the case of a project-based learning process there is a need of introducing measure the student' activity as acquired via multiple modalities and then processed. The acquisition and processing needs to take into account the specificities of the learning context and deployment at schools, in particular in terms of system architecture. The paper proposes an architecture for the acquisition and processing of data for project-based LA designed to be interoperable and scalable. System design, details of the solutions and brief examples of acquired data are presented.",
keywords = "data processing, learning, Learning Analytics, learning modalities, teacher support",
author = "Emanuele Ruffaldi and Giacomo Dabisias and Lorenzo Landolfi and Daniel Spikol",
year = "2016",
month = aug,
day = "29",
doi = "10.1109/SAI.2016.7556079",
language = "English",
series = "Proceedings of 2016 SAI Computing Conference, SAI 2016",
pages = "858--863",
booktitle = "Proceedings of 2016 SAI Computing Conference, SAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
note = "2016 SAI Computing Conference, SAI 2016 ; Conference date: 13-07-2016 Through 15-07-2016",

}

RIS

TY - GEN

T1 - Data collection and processing for a multimodal learning analytic system

AU - Ruffaldi, Emanuele

AU - Dabisias, Giacomo

AU - Landolfi, Lorenzo

AU - Spikol, Daniel

PY - 2016/8/29

Y1 - 2016/8/29

N2 - Learning Analytic (LA) systems are aimed at supporting teachers in understanding the learning process by analyzing the information and the interaction of students with computer systems. In the case of a project-based learning process there is a need of introducing measure the student' activity as acquired via multiple modalities and then processed. The acquisition and processing needs to take into account the specificities of the learning context and deployment at schools, in particular in terms of system architecture. The paper proposes an architecture for the acquisition and processing of data for project-based LA designed to be interoperable and scalable. System design, details of the solutions and brief examples of acquired data are presented.

AB - Learning Analytic (LA) systems are aimed at supporting teachers in understanding the learning process by analyzing the information and the interaction of students with computer systems. In the case of a project-based learning process there is a need of introducing measure the student' activity as acquired via multiple modalities and then processed. The acquisition and processing needs to take into account the specificities of the learning context and deployment at schools, in particular in terms of system architecture. The paper proposes an architecture for the acquisition and processing of data for project-based LA designed to be interoperable and scalable. System design, details of the solutions and brief examples of acquired data are presented.

KW - data processing

KW - learning

KW - Learning Analytics

KW - learning modalities

KW - teacher support

UR - http://www.scopus.com/inward/record.url?scp=84988849705&partnerID=8YFLogxK

U2 - 10.1109/SAI.2016.7556079

DO - 10.1109/SAI.2016.7556079

M3 - Article in proceedings

AN - SCOPUS:84988849705

T3 - Proceedings of 2016 SAI Computing Conference, SAI 2016

SP - 858

EP - 863

BT - Proceedings of 2016 SAI Computing Conference, SAI 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 SAI Computing Conference, SAI 2016

Y2 - 13 July 2016 through 15 July 2016

ER -

ID: 256266391