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Measuring student behaviour dynamics in a large interactive classroom setting. / Triglianos, Vasileios; Praharaj, Sambit; Pautasso, Cesare; Bozzon, Alessandro; Hauff, Claudia.

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017. New York, NY : Association for Computing Machinery (ACM), 2017. p. 212-220.

Research output: Scientific - peer-reviewConference contribution

Harvard

Triglianos, V, Praharaj, S, Pautasso, C, Bozzon, A & Hauff, C 2017, Measuring student behaviour dynamics in a large interactive classroom setting. in Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017. Association for Computing Machinery (ACM), New York, NY, pp. 212-220, UMAP 2017, Bratislava, Slovakia, 9/07/17. DOI: 10.1145/3079628.3079671

APA

Triglianos, V., Praharaj, S., Pautasso, C., Bozzon, A., & Hauff, C. (2017). Measuring student behaviour dynamics in a large interactive classroom setting. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017 (pp. 212-220). New York, NY: Association for Computing Machinery (ACM). DOI: 10.1145/3079628.3079671

Vancouver

Triglianos V, Praharaj S, Pautasso C, Bozzon A, Hauff C. Measuring student behaviour dynamics in a large interactive classroom setting. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017. New York, NY: Association for Computing Machinery (ACM). 2017. p. 212-220. Available from, DOI: 10.1145/3079628.3079671

Author

Triglianos, Vasileios ; Praharaj, Sambit ; Pautasso, Cesare ; Bozzon, Alessandro ; Hauff, Claudia. / Measuring student behaviour dynamics in a large interactive classroom setting. Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017. New York, NY : Association for Computing Machinery (ACM), 2017. pp. 212-220

BibTeX

@inbook{de73b99fe6f440fd8fcfa56ae8da7748,
title = "Measuring student behaviour dynamics in a large interactive classroom setting",
abstract = "Digital devices (most often laptops and smartphones), though desired tools by students in a higher education classroom, have in the past been shown to serve more as distractors than supporters of learning. One of the reasons is the o.en undirected nature of the devices' usage. With our work we aim to turn students' digital devices into teaching and communication tools by seamlessly interleaving lecture material and complex questions in the students' browser through ASQ, a Web application for broadcasting and tracking interactive presentations. ASQ's €ne-grained logging abilities allow us to track second by second to what extent students are engaging with ASQ which in turn enables insights into student behaviour dynamics. This setup enables us to conduct {"}in situ{"} experiments. Based on the logs collected in a longitudinal study over a ten week period across 14 lectures with more than 300 students, we investigate (i) to what extent ASQ can be reliably employed to assess a.ention and learning in the classroom, and (ii) whether di.erent in-class question spacing strategies impact student learning and engagement.",
author = "Vasileios Triglianos and Sambit Praharaj and Cesare Pautasso and Alessandro Bozzon and Claudia Hauff",
year = "2017",
month = "7",
doi = "10.1145/3079628.3079671",
pages = "212--220",
booktitle = "Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

RIS

TY - CHAP

T1 - Measuring student behaviour dynamics in a large interactive classroom setting

AU - Triglianos,Vasileios

AU - Praharaj,Sambit

AU - Pautasso,Cesare

AU - Bozzon,Alessandro

AU - Hauff,Claudia

PY - 2017/7/9

Y1 - 2017/7/9

N2 - Digital devices (most often laptops and smartphones), though desired tools by students in a higher education classroom, have in the past been shown to serve more as distractors than supporters of learning. One of the reasons is the o.en undirected nature of the devices' usage. With our work we aim to turn students' digital devices into teaching and communication tools by seamlessly interleaving lecture material and complex questions in the students' browser through ASQ, a Web application for broadcasting and tracking interactive presentations. ASQ's €ne-grained logging abilities allow us to track second by second to what extent students are engaging with ASQ which in turn enables insights into student behaviour dynamics. This setup enables us to conduct "in situ" experiments. Based on the logs collected in a longitudinal study over a ten week period across 14 lectures with more than 300 students, we investigate (i) to what extent ASQ can be reliably employed to assess a.ention and learning in the classroom, and (ii) whether di.erent in-class question spacing strategies impact student learning and engagement.

AB - Digital devices (most often laptops and smartphones), though desired tools by students in a higher education classroom, have in the past been shown to serve more as distractors than supporters of learning. One of the reasons is the o.en undirected nature of the devices' usage. With our work we aim to turn students' digital devices into teaching and communication tools by seamlessly interleaving lecture material and complex questions in the students' browser through ASQ, a Web application for broadcasting and tracking interactive presentations. ASQ's €ne-grained logging abilities allow us to track second by second to what extent students are engaging with ASQ which in turn enables insights into student behaviour dynamics. This setup enables us to conduct "in situ" experiments. Based on the logs collected in a longitudinal study over a ten week period across 14 lectures with more than 300 students, we investigate (i) to what extent ASQ can be reliably employed to assess a.ention and learning in the classroom, and (ii) whether di.erent in-class question spacing strategies impact student learning and engagement.

UR - http://www.scopus.com/inward/record.url?scp=85026775135&partnerID=8YFLogxK

U2 - 10.1145/3079628.3079671

DO - 10.1145/3079628.3079671

M3 - Conference contribution

SP - 212

EP - 220

BT - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017

PB - Association for Computing Machinery (ACM)

ER -

ID: 33898160