Investigating the role of biometrics in education – the use of sensor data in collaborative learning

Dafoulas, George, Maia, Cristiano Cardoso, Samuels-Clarke, Jerome, Ali, Almaas and Augusto, Juan Carlos (2018) Investigating the role of biometrics in education – the use of sensor data in collaborative learning. In: 12th International Conference on e-Learning, 17-19 July 2018, Madrid, Spain.

[img]
Preview
PDF - Published version (with publisher's formatting)
Available under License Creative Commons Attribution-NonCommercial-NoDerivatives.

Download (1MB) | Preview
[img] PDF - Final accepted version (with author's formatting)
Restricted to Repository staff and depositor only

Download (617kB)

Abstract

This paper provides a detailed description of how a smart spaces laboratory has been used for assessing learners’ performance in various educational contexts. The paper shares the authors’ experiences from using sensor-generated data in a number of learning scenarios. In particular the paper describes how a smart learning environment is created with the use of a range of sensors measuring key data from individual learners including (i) heartbeat, (ii) emotion detection, (iii) sweat levels, (iv) voice fluctuations and (v) duration and pattern of contribution via voice recognition. The paper also explains how biometrics are used to assess learner’ contribution in certain activities but also to evaluate collaborative learning in student groups. Finally the paper instigates research in the role of using visualization of biometrics as a medium for supporting assessment, facilitating learning processes and enhancing learning experiences. Examples of how learning analytics are created based on biometrics are also provided, resulting from a number of pilot studies that have taken place over the past couple of years.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 24621
Notes on copyright: Published version made available in this repository (http://eprints.mdx.ac.uk/) with permission of IADIS under terms of a creative commons licence, namely attribution-noncommercial-noderivatives
Useful Links:
Depositing User: Cristiano Maia
Date Deposited: 13 Jul 2018 11:28
Last Modified: 26 Aug 2019 19:03
URI: https://eprints.mdx.ac.uk/id/eprint/24621

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year