How can Interaction Data be Contextualized with Mobile Sensing to Enhance Learning Engagement Assessment in Distance Learning?

Author:

Ciordas-Hertel George-Petru1ORCID,Biedermann Daniel1ORCID,Winter Marc2ORCID,Mordel Julia2ORCID,Drachsler Hendrik3ORCID

Affiliation:

1. Educational Technologies, DIPF | Leibniz Institute for Research and Information in Education, Germany

2. Educational Psychology, Goethe-University Frankfurt am Main, Germany

3. Educational Technologies, DIPF | Leibniz Institute for Research and Information in Education, Germany and Computer Science Faculty, Goethe-University Frankfurt am Main, Germany

Publisher

ACM

Reference16 articles.

1. Multimodal learning analytics

2. Effects of the Physical Environment on Cognitive Load and Learning: Towards a New Model of Cognitive Load

3. Mobile Sensing with Smart Wearables of the Physical Context of Distance Learning Students to Consider Its Effects on Learning

4. Edward Curry . 2016. The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches . In New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe, José María Cavanillas , Edward Curry, and Wolfgang Wahlster (Eds.). Springer International Publishing , Cham , 29–37. https://doi.org/10.1007/978-3-319-21569-3_3 10.1007/978-3-319-21569-3_3 Edward Curry. 2016. The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches. In New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe, José María Cavanillas, Edward Curry, and Wolfgang Wahlster (Eds.). Springer International Publishing, Cham, 29–37. https://doi.org/10.1007/978-3-319-21569-3_3

5. Off-task social media multitasking during class: determining factors and mediating mechanism

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