Investigating collaborative learning success with physiological coupling indices based on electrodermal activity

Hector Pijeira-díaz; Hendrik Drachsler; Sanna Järvelä; Paul A. Kirschner

doi:10.1145/2883851.2883897

Investigating collaborative learning success with physiological coupling indices based on electrodermal activity

Hector Pijeira-díaz, Hendrik Drachsler, Sanna Järvelä, Paul A. Kirschner

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Original language	English
Title of host publication	Proceedings of the Sixth International Conference on Learning Analytics and Knowledge
Place of Publication	New York, USA
Publisher	Association for Computing Machinery (ACM)
Pages	64-73
Number of pages	10
ISBN (Electronic)	978-1-4503-4190-5
DOIs	https://doi.org/10.1145/2883851.2883897
Publication status	Published - 25 Apr 2016
Event	The 6th International Learning Analytics & Knowledge Conference - University of Edinburg, Edinburg, United Kingdom Duration: 25 Apr 2016 → 29 Apr 2016 http://lak16.solaresearch.org/

Publication series

Series	ACM International Conference Proceeding Series

Conference

Conference	The 6th International Learning Analytics & Knowledge Conference
Abbreviated title	LAK16
Country/Territory	United Kingdom
City	Edinburg
Period	25/04/16 → 29/04/16
Internet address	http://lak16.solaresearch.org/

Keywords

multimodal
learning analytics
cscl
K12

Access to Document

10.1145/2883851.2883897

Cite this

Pijeira-díaz, H., Drachsler, H., Järvelä, S., & Kirschner, P. A. (2016). Investigating collaborative learning success with physiological coupling indices based on electrodermal activity. In Proceedings of the Sixth International Conference on Learning Analytics and Knowledge (pp. 64-73). Association for Computing Machinery (ACM). ACM International Conference Proceeding Series https://doi.org/10.1145/2883851.2883897

Pijeira-díaz, Hector ; Drachsler, Hendrik ; Järvelä, Sanna et al. / Investigating collaborative learning success with physiological coupling indices based on electrodermal activity. Proceedings of the Sixth International Conference on Learning Analytics and Knowledge. New York, USA : Association for Computing Machinery (ACM), 2016. pp. 64-73 (ACM International Conference Proceeding Series).

@inproceedings{78dd0bf6e1c342f98e4fef3031a63651,

title = "Investigating collaborative learning success with physiological coupling indices based on electrodermal activity",

keywords = "multimodal, learning analytics, cscl, K12",

author = "Hector Pijeira-d{\'i}az and Hendrik Drachsler and Sanna J{\"a}rvel{\"a} and Kirschner, {Paul A.}",

year = "2016",

month = apr,

day = "25",

doi = "10.1145/2883851.2883897",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery (ACM)",

pages = "64--73",

booktitle = "Proceedings of the Sixth International Conference on Learning Analytics and Knowledge",

address = "United States",

note = "The 6th International Learning Analytics & Knowledge Conference, LAK16 ; Conference date: 25-04-2016 Through 29-04-2016",

url = "http://lak16.solaresearch.org/",

}

Pijeira-díaz, H, Drachsler, H, Järvelä, S & Kirschner, PA 2016, Investigating collaborative learning success with physiological coupling indices based on electrodermal activity. in Proceedings of the Sixth International Conference on Learning Analytics and Knowledge. Association for Computing Machinery (ACM), New York, USA, ACM International Conference Proceeding Series, pp. 64-73, The 6th International Learning Analytics & Knowledge Conference, Edinburg, United Kingdom, 25/04/16. https://doi.org/10.1145/2883851.2883897

Investigating collaborative learning success with physiological coupling indices based on electrodermal activity. / Pijeira-díaz, Hector; Drachsler, Hendrik; Järvelä, Sanna et al.

Proceedings of the Sixth International Conference on Learning Analytics and Knowledge. New York, USA : Association for Computing Machinery (ACM), 2016. p. 64-73 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - Investigating collaborative learning success with physiological coupling indices based on electrodermal activity

AU - Pijeira-díaz, Hector

AU - Drachsler, Hendrik

AU - Järvelä, Sanna

AU - Kirschner, Paul A.

PY - 2016/4/25

Y1 - 2016/4/25

KW - multimodal

KW - learning analytics

KW - cscl

KW - K12

U2 - 10.1145/2883851.2883897

DO - 10.1145/2883851.2883897

M3 - Conference Article in proceeding

T3 - ACM International Conference Proceeding Series

SP - 64

EP - 73

BT - Proceedings of the Sixth International Conference on Learning Analytics and Knowledge

PB - Association for Computing Machinery (ACM)

CY - New York, USA

T2 - The 6th International Learning Analytics & Knowledge Conference

Y2 - 25 April 2016 through 29 April 2016

ER -

Pijeira-díaz H, Drachsler H, Järvelä S, Kirschner PA. Investigating collaborative learning success with physiological coupling indices based on electrodermal activity. In Proceedings of the Sixth International Conference on Learning Analytics and Knowledge. New York, USA: Association for Computing Machinery (ACM). 2016. p. 64-73. (ACM International Conference Proceeding Series). doi: 10.1145/2883851.2883897

Investigating collaborative learning success with physiological coupling indices based on electrodermal activity

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this