Measuring the Unmeasurable?: Towards Automatic Co-located Collaboration Analytics

S. Praharaj

Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics

S. Praharaj

Research output: Thesis › Doctoral Thesis › Thesis 1: fully internal

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Abstract

The main objectives of the thesis are: (1) to define the constituents helping to detect co-located (or face-to-face) collaboration (CC) quality (i.e., indicators, indexes and parameters in this case); (2) to design and develop a sensor-based set up for automatic CC analytics; (3) to move towards quantifying the quality of collaboration by using the CC analytics set up and show the visualizations on a dashboard.

Original language	English
Qualification	PhD
Awarding Institution
Supervisors/Advisors	Drachsler, Hendrik, Supervisor Specht, Marcus, Supervisor Scheffel, Maren, Co-supervisor
Award date	11 Mar 2022
Place of Publication	Netherlands
Publisher	Open Universiteit
Print ISBNs	978-94-93211-43-8
Electronic ISBNs	978-94-93211-43-8
Publication status	Published - 11 Mar 2022

Keywords

Co-located collaboration (CC)
co-located collaboration analytics
multimodal learning analytics
learning analytics
Technology Enhanced Learning
artificial intelligence in education

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1_SambitPhDThesisEbook20Feb2022_CompressedFinal published version, 14.2 MB

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title = "Measuring the Unmeasurable?: Towards Automatic Co-located Collaboration Analytics",

abstract = "The main objectives of the thesis are: (1) to define the constituents helping to detect co-located (or face-to-face) collaboration (CC) quality (i.e., indicators, indexes and parameters in this case); (2) to design and develop a sensor-based set up for automatic CC analytics; (3) to move towards quantifying the quality of collaboration by using the CC analytics set up and show the visualizations on a dashboard.",

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N2 - The main objectives of the thesis are: (1) to define the constituents helping to detect co-located (or face-to-face) collaboration (CC) quality (i.e., indicators, indexes and parameters in this case); (2) to design and develop a sensor-based set up for automatic CC analytics; (3) to move towards quantifying the quality of collaboration by using the CC analytics set up and show the visualizations on a dashboard.

AB - The main objectives of the thesis are: (1) to define the constituents helping to detect co-located (or face-to-face) collaboration (CC) quality (i.e., indicators, indexes and parameters in this case); (2) to design and develop a sensor-based set up for automatic CC analytics; (3) to move towards quantifying the quality of collaboration by using the CC analytics set up and show the visualizations on a dashboard.

KW - Co-located collaboration (CC)

KW - co-located collaboration analytics

KW - multimodal learning analytics

KW - learning analytics

KW - Technology Enhanced Learning

KW - artificial intelligence in education

M3 - Doctoral Thesis

SN - 978-94-93211-43-8

T3 - SIKS Dissertation Series

PB - Open Universiteit

CY - Netherlands

ER -

Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics

Abstract

Keywords

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