SHARP - Socially Shared Regulation of Complex Learning Process in Groups

Description

SHARP dataset consists of video, audio, Kinect (including body movements and gestures), physiological data (including heart rate, electrodermal activity (EDA), and accelerometer data), self-reports (survey), and transcripts of video data. The study involved 28 small groups of three high school students aged 15 years old (N=82, Male = 46, Female =36) who worked with collaborative task. The participants were recruited from high school classes through the collaboration with the local teacher training school. As a group, they worked on a shared Google document to design a healthy diet for a customer based on described nutritional needs. In order to study the external events' influence on collaborative learning, we designed the cognitive and emotional triggers in the middle of the learning procedure. For comparing different trigger influences on the entire collaborative process, the groups were divided into three types: Group A: without control (9 groups); Group B: one cognitive trigger (9 groups); Group C: one cognitive trigger and three emotional triggers (10 groups).
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Year of publication

2022

Type of data

Authors

Sanna Järvelä - Creator, Publisher, Curator, Rights holder

Andy Nguyen Orcid -palvelun logo - Creator, Curator

Ahsen Cini - Contributor

Eija Vuorenmaa - Contributor

Marta Sobocinski - Contributor

Timi Tervo - Contributor

Project

Other information

Fields of science

Language

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Self-regulation, artificial intelligence, Learning analytics, collaborative learning, multimodal data, self-regulated learning, Socially-Shared Regulation, AI in Education

Subject headings

Temporal coverage

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