Digital Learning Projection. Learning performance estimation from multimodal learning experiences

Daniele Di Mitri

doi:10.1007/978-3-319-61425-0_75

Digital Learning Projection. Learning performance estimation from multimodal learning experiences

Daniele Di Mitri^*

^*Corresponding author for this work

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

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Original language	English
Title of host publication	Artificial Intelligence in Education
Subtitle of host publication	18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings
Editors	E. André, R. Baker, X. Hu, M.M.T. Rodrigo, B. du Boulay
Publisher	Springer
Pages	609–612
Number of pages	4
ISBN (Electronic)	978-3-319-61425-0
ISBN (Print)	978-3-319-61424-3
DOIs	https://doi.org/10.1007/978-3-319-61425-0_75
Publication status	Published - 1 Jul 2017
Event	Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017 - Wuhan, China Duration: 28 Jun 2017 → 1 Jul 2017 http://119.97.166.163/

Publication series

Series	Lecture Notes in Computer Science
Volume	10331
ISSN	0302-9743

Conference

Conference	Artificial Intelligence in Education
Abbreviated title	AIED 2017
Country/Territory	China
City	Wuhan
Period	28/06/17 → 1/07/17
Internet address	http://119.97.166.163/

Keywords

multimodal data
learning analytics
phd project
doctoral consortium
sensors

Access to Document

10.1007/978-3-319-61425-0_75

AIED2017 paper 187Accepted author manuscript, 145 KB

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Di Mitri, D. (2017). Digital Learning Projection. Learning performance estimation from multimodal learning experiences. In E. André, R. Baker, X. Hu, M. M. T. Rodrigo, & B. du Boulay (Eds.), Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings (pp. 609–612). Springer. https://doi.org/10.1007/978-3-319-61425-0_75

Di Mitri, Daniele. / Digital Learning Projection. Learning performance estimation from multimodal learning experiences. Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings. editor / E. André ; R. Baker ; X. Hu ; M.M.T. Rodrigo ; B. du Boulay. Springer, 2017. pp. 609–612 (Lecture Notes in Computer Science, Vol. 10331).

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title = "Digital Learning Projection. Learning performance estimation from multimodal learning experiences",

keywords = "multimodal data, learning analytics, phd project, doctoral consortium, sensors",

author = "{Di Mitri}, Daniele",

year = "2017",

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day = "1",

doi = "10.1007/978-3-319-61425-0_75",

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series = "Lecture Notes in Computer Science",

publisher = "Springer",

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editor = "{ Andr{\'e}}, E. and R. Baker and X. Hu and M.M.T. Rodrigo and {du Boulay}, B.",

booktitle = "Artificial Intelligence in Education",

note = "Artificial Intelligence in Education : 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, AIED 2017 ; Conference date: 28-06-2017 Through 01-07-2017",

url = "http://119.97.166.163/",

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Di Mitri, D 2017, Digital Learning Projection. Learning performance estimation from multimodal learning experiences. in E André, R Baker, X Hu, MMT Rodrigo & B du Boulay (eds), Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings. Springer, Lecture Notes in Computer Science, vol. 10331, pp. 609–612, Artificial Intelligence in Education, Wuhan, China, 28/06/17. https://doi.org/10.1007/978-3-319-61425-0_75

Digital Learning Projection. Learning performance estimation from multimodal learning experiences. / Di Mitri, Daniele.
Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings. ed. / E. André; R. Baker; X. Hu; M.M.T. Rodrigo; B. du Boulay. Springer, 2017. p. 609–612 (Lecture Notes in Computer Science, Vol. 10331).

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

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AU - Di Mitri, Daniele

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KW - doctoral consortium

KW - sensors

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DO - 10.1007/978-3-319-61425-0_75

M3 - Conference Article in proceeding

SN - 978-3-319-61424-3

T3 - Lecture Notes in Computer Science

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BT - Artificial Intelligence in Education

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T2 - Artificial Intelligence in Education

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Di Mitri D. Digital Learning Projection. Learning performance estimation from multimodal learning experiences. In André E, Baker R, Hu X, Rodrigo MMT, du Boulay B, editors, Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings. Springer. 2017. p. 609–612. (Lecture Notes in Computer Science, Vol. 10331). doi: 10.1007/978-3-319-61425-0_75

Digital Learning Projection. Learning performance estimation from multimodal learning experiences

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Conference

Keywords

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