Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes

This paper presents the initial design and mechanics of two proposed trackers – the Presence Card (PC) and the Trust Rating (TR) – to define an alternative way of checking attendance; and to challenge the spread of formal and informal outsourced work in the conduct of online classes. The PC and TR m...

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Main Authors: Casano, Jonathan D.L, Agapito, Jenilyn L
Format: text
Published: Archīum Ateneo 2021
Subjects:
Online Access:https://archium.ateneo.edu/discs-faculty-pubs/221
https://link.springer.com/chapter/10.1007/978-3-030-77857-6_10
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.discs-faculty-pubs-12132022-01-31T05:29:23Z Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes Casano, Jonathan D.L Agapito, Jenilyn L This paper presents the initial design and mechanics of two proposed trackers – the Presence Card (PC) and the Trust Rating (TR) – to define an alternative way of checking attendance; and to challenge the spread of formal and informal outsourced work in the conduct of online classes. The PC and TR mechanics were implemented in various undergraduate and graduate classes to demonstrate how it may be used and to collect insights from the students about such an intervention. Using the metrics we have identified during testing together with an analysis of the survey results; we conclude the paper with directions and ideas towards adaptive versions of the PC and TR mechanics. 2021-07-03T07:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/221 https://link.springer.com/chapter/10.1007/978-3-030-77857-6_10 Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Trust rating Presence rating Cheating Attendance Online learning Computer Sciences Education Engineering
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Trust rating
Presence rating
Cheating
Attendance
Online learning
Computer Sciences
Education
Engineering
spellingShingle Trust rating
Presence rating
Cheating
Attendance
Online learning
Computer Sciences
Education
Engineering
Casano, Jonathan D.L
Agapito, Jenilyn L
Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes
description This paper presents the initial design and mechanics of two proposed trackers – the Presence Card (PC) and the Trust Rating (TR) – to define an alternative way of checking attendance; and to challenge the spread of formal and informal outsourced work in the conduct of online classes. The PC and TR mechanics were implemented in various undergraduate and graduate classes to demonstrate how it may be used and to collect insights from the students about such an intervention. Using the metrics we have identified during testing together with an analysis of the survey results; we conclude the paper with directions and ideas towards adaptive versions of the PC and TR mechanics.
format text
author Casano, Jonathan D.L
Agapito, Jenilyn L
author_facet Casano, Jonathan D.L
Agapito, Jenilyn L
author_sort Casano, Jonathan D.L
title Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes
title_short Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes
title_full Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes
title_fullStr Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes
title_full_unstemmed Towards the Design of an Adaptive Presence Card and Trust Rating System for Online Classes
title_sort towards the design of an adaptive presence card and trust rating system for online classes
publisher Archīum Ateneo
publishDate 2021
url https://archium.ateneo.edu/discs-faculty-pubs/221
https://link.springer.com/chapter/10.1007/978-3-030-77857-6_10
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