Inferring Student Attention with ASQ

Vasileios Triglianos; Cesare Pautasso; Alessandro Bozzon; Claudia Hauff

doi:10.1007/978-3-319-45153-4_23

Inferring Student Attention with ASQ

Vasileios Triglianos, Cesare Pautasso, Alessandro Bozzon, Claudia Hauff

Web Information Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Abstract

ASQ is a Web application for broadcasting and tracking interactive presentations, which can be used to support active learning pedagogies during lectures, labs and exercise sessions. Students connect their smartphones, tablets or laptops to receive the current slide as it is being explained by the teacher. Slides can include interactive teaching elements (usually questions of different forms). In contrast to other existing platforms, ASQ does not only collect, aggregate and visualize the answers in real-time, it also supports the data analytics in the classroom paradigm by providing the teacher with a real-time analysis of student behaviour during the entire session. One vital aspect of student behaviour is (in)attention and in this paper we discuss how we infer — in real-time — student attention based on log traces ASQ collects.

Original language	English
Title of host publication	Adaptive and Adaptable Learning
Subtitle of host publication	11th European Conference on Technology-Enhanced Learning, EC-TEL 2016
Editors	Katrien Verbert, Mike Sharples, Tomaž Klobučar
Place of Publication	Cham
Publisher	Springer
Pages	306-320
Number of pages	5
ISBN (Electronic)	978-3-319-45153-4
ISBN (Print)	978-3-319-45152-7
DOIs	https://doi.org/10.1007/978-3-319-45153-4_23
Publication status	Published - 2016
Event	11th European Conference on Technology-Enhanced Learning, EC-TEL 2016 - Lyon, France Duration: 13 Sept 2016 → 16 Sept 2016

Publication series

Name	Lecture Notes in Computer Science
Volume	9891
ISSN (Print)	0302-9743

Conference

Conference	11th European Conference on Technology-Enhanced Learning, EC-TEL 2016
Country/Territory	France
City	Lyon
Period	13/09/16 → 16/09/16

Access to Document

10.1007/978-3-319-45153-4_23

Cite this

Triglianos, V., Pautasso, C., Bozzon, A., & Hauff, C. (2016). Inferring Student Attention with ASQ. In K. Verbert, M. Sharples, & T. Klobučar (Eds.), Adaptive and Adaptable Learning: 11th European Conference on Technology-Enhanced Learning, EC-TEL 2016 (pp. 306-320). (Lecture Notes in Computer Science; Vol. 9891). Springer. https://doi.org/10.1007/978-3-319-45153-4_23

@inproceedings{b33f45bd0ac54c60a8300302fc2fbd9f,

title = "Inferring Student Attention with ASQ",

abstract = "ASQ is a Web application for broadcasting and tracking interactive presentations, which can be used to support active learning pedagogies during lectures, labs and exercise sessions. Students connect their smartphones, tablets or laptops to receive the current slide as it is being explained by the teacher. Slides can include interactive teaching elements (usually questions of different forms). In contrast to other existing platforms, ASQ does not only collect, aggregate and visualize the answers in real-time, it also supports the data analytics in the classroom paradigm by providing the teacher with a real-time analysis of student behaviour during the entire session. One vital aspect of student behaviour is (in)attention and in this paper we discuss how we infer — in real-time — student attention based on log traces ASQ collects.",

author = "Vasileios Triglianos and Cesare Pautasso and Alessandro Bozzon and Claudia Hauff",

year = "2016",

doi = "10.1007/978-3-319-45153-4_23",

language = "English",

isbn = "978-3-319-45152-7",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "306--320",

editor = "Katrien Verbert and Mike Sharples and Toma{\v z} Klobu{\v c}ar",

booktitle = "Adaptive and Adaptable Learning",

note = "11th European Conference on Technology-Enhanced Learning, EC-TEL 2016 ; Conference date: 13-09-2016 Through 16-09-2016",

}

Triglianos, V, Pautasso, C, Bozzon, A & Hauff, C 2016, Inferring Student Attention with ASQ. in K Verbert, M Sharples & T Klobučar (eds), Adaptive and Adaptable Learning: 11th European Conference on Technology-Enhanced Learning, EC-TEL 2016. Lecture Notes in Computer Science, vol. 9891, Springer, Cham, pp. 306-320, 11th European Conference on Technology-Enhanced Learning, EC-TEL 2016, Lyon, France, 13/09/16. https://doi.org/10.1007/978-3-319-45153-4_23

Inferring Student Attention with ASQ. / Triglianos, Vasileios; Pautasso, Cesare; Bozzon, Alessandro et al.
Adaptive and Adaptable Learning: 11th European Conference on Technology-Enhanced Learning, EC-TEL 2016. ed. / Katrien Verbert; Mike Sharples; Tomaž Klobučar. Cham: Springer, 2016. p. 306-320 (Lecture Notes in Computer Science; Vol. 9891).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Inferring Student Attention with ASQ

AU - Triglianos, Vasileios

AU - Pautasso, Cesare

AU - Bozzon, Alessandro

AU - Hauff, Claudia

PY - 2016

Y1 - 2016

N2 - ASQ is a Web application for broadcasting and tracking interactive presentations, which can be used to support active learning pedagogies during lectures, labs and exercise sessions. Students connect their smartphones, tablets or laptops to receive the current slide as it is being explained by the teacher. Slides can include interactive teaching elements (usually questions of different forms). In contrast to other existing platforms, ASQ does not only collect, aggregate and visualize the answers in real-time, it also supports the data analytics in the classroom paradigm by providing the teacher with a real-time analysis of student behaviour during the entire session. One vital aspect of student behaviour is (in)attention and in this paper we discuss how we infer — in real-time — student attention based on log traces ASQ collects.

AB - ASQ is a Web application for broadcasting and tracking interactive presentations, which can be used to support active learning pedagogies during lectures, labs and exercise sessions. Students connect their smartphones, tablets or laptops to receive the current slide as it is being explained by the teacher. Slides can include interactive teaching elements (usually questions of different forms). In contrast to other existing platforms, ASQ does not only collect, aggregate and visualize the answers in real-time, it also supports the data analytics in the classroom paradigm by providing the teacher with a real-time analysis of student behaviour during the entire session. One vital aspect of student behaviour is (in)attention and in this paper we discuss how we infer — in real-time — student attention based on log traces ASQ collects.

U2 - 10.1007/978-3-319-45153-4_23

DO - 10.1007/978-3-319-45153-4_23

M3 - Conference contribution

SN - 978-3-319-45152-7

T3 - Lecture Notes in Computer Science

SP - 306

EP - 320

BT - Adaptive and Adaptable Learning

A2 - Verbert, Katrien

A2 - Sharples, Mike

A2 - Klobučar, Tomaž

PB - Springer

CY - Cham

T2 - 11th European Conference on Technology-Enhanced Learning, EC-TEL 2016

Y2 - 13 September 2016 through 16 September 2016

ER -

Inferring Student Attention with ASQ

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this