SCoRe-LFC: Platform data on crowd collaboration in higher education

SCoRe (short for Student Crowd Research) was a joint research project between the Universities of Bremen (UB), Hamburg (UHH) and Kiel (CAU), the Macromedia University of Applied Sciences (HMM) and the Ghostthinker GmbH (GT). The overall aim of the project was to develop a digital learning and research environment as well as didactic scenarios that foster collaborative processes of research-based learning in large groups of students (crowd). The main subject area was research for sustainable development. Towards this end, the project consortium drew on the partners’ expertise on advanced video-technologies (HHM), virtual collaboration in interdisciplinary and largescale groups (CAU), research-based learning (UHH) and education and research for sustainable development (UB). To achieve its goals, the project adopted a design-based research approach. The Project started in Oct. 2018 and was funded for 3.5 years by the Federal Ministry of Education and Research (BMBF) in a funding scheme on digital higher education.

The work in the department of media-pedagogy and educational computer sciences at Kiel University was focused on the sub-project „SCoRe - learning and researching in the crowd“. The sub-project was aimed at the development, implementation and evaluation of pedagogical and organizational measures for the seeding, coordination and orchestration of collaborative research and learning processes in crowd scenarios. Particular emphasis was placed on crowd-specific characteristics of productive knowledge work in large and interdisciplinary groups.

This dataset contains interaction data as well as textual content data. As ongoing development of the software platform led to a continuous integration of new features into the platform itself as well as changes to the data collection functions, making this an evolving dataset. Some inconsistencies exist due to software bugs.

Platform data structure diagram 

Further Readings to gain an understanding of the platform and its interaction posbilities (in german):

Design Report Prototype 2

Design Report Prototype 3

Contained Files

Filename

Description

annotations.csv

Annotations (comment and/or drawings on the video) of video files

content.csv

Content of sections

events.csv

All events triggered by user interaction

media.csv

Uploaded images and videos

messages.csv

Chat messages

sequences.csv

Sequences of video files

Columns

(not all are present in each file. 0, “null” or “none” might mean not applicable)

Column name

Description

Format

Index (empty column name) 

unique identifier of the corresponding event in the original dataset

UUID (int on rare occasions)

Actor-Name

Unique identifier of an actor – “MA” identifies project staff 

string

Annotation-ID

Unique identifier of an annotation

int

Annotation-Text

Label of an annotation

string

Version-ID

Unique identifier of a version of an auditable object (e.g. a section)

int

Version-Changelog

Changelog message on saving a new version of a section

string

Case-ID

Unique identifier of a case (if applicable, coded by research team)

String 

Media-Caption

Title of a media file (image, video)

string

Media-ID

Unique identifier of a media file (image, video)

int

Media-Timestamp

Timestamp in a video

int

Message-ID

Unique identifier of a chat message

int

Message-Text

Content of a chat-message

string

Object-Type

Type of an object an action refers to

string

Project-ID

Unique identifier of a project

int

Research-Task-Type

Type of research task (if applicable, coded by research team, see table below)

string

Section-Content

Content of a section (in a specific version) 

string

Section-Outline-Level

Outline level of a section (in a specific version)

int

Section-ID

Unique identifier of a section

int

Section-Index

Position of a section in the project (in a specific version)

int

Section-Status

Status of a section

int

Section-Title

Title of a section (in a specific version)

string

Sequence-Description

Description of a video sequence

string

Sequence-Duration

Length of a video sequence

int

Sequence-ID

Unique identifier of a sequence

int

Sequence-Timestamp

Timestamp of the start of a sequence in a video

int

timestamp

timestamp of an event

datetime

Verb

Action type of an event (see table below)

string

Verbs

Value

Description

canceled editing of

Actor canceled editing of a section

clicked

Actor clicked a link

collapsed

Actor collapsed a section (hides its content form being viewed)

compared versions of

Actor compared two versions of a section

created

Actor created a new section, video sequence, video annotation, video playback command, project or news

deleted

Actor deleted a section, video sequence, video annotation, video playback command, project or news

ended

Actor played a video hitting its end

expanded

Actor expanded a collapsed section

inserted

Actor inserted a video comment (on occasions instead of created)

left

Actor left a context (e.g. a project, a chat window) by e.g. closing it using platform functions, changing a browser tab, etc.

mentioned

Actor mentioned another actor in a chat message

opened

Actor opened a context (e.g. a project, a chat window) by e.g. accessing it using platform functions or changing a browser tab

paused

Actor paused a video

played

Actor played a video

read

Actor read an activity message or news

read all messages and activities of

Actor used switch to mark all chat and activity messages read

restored

Actor restored a deleted section

reverted

Actor restored a deleted section

reverted version of

Actor reverted a section to an earlier version

seeked

Actor seeked on a video timeline

sent

Actor sent a chat message

started editing of

Actor started editing of a section

switched

Actor switched chat focus between project and section chat

typed

Actor typed into the chat

updated

Actor updated an existing section (changing content, heading, heading-depth or status), video sequence, video annotation, video playback command, project or news

uploaded

Actor uploaded an image or video

viewed

Actor viewed an entity (had it on screen for 5 seconds), e.g. a section or video comment

viewed history of

Actor viewed history of a section

Project-ID

Project-ID

Case-IDs

Title

Type

Period

2

a1-a*

Urbane Grünflächen

Research project

1.11.20-31.3.21

4

b1-b*

Nachhaltiger Verkehr

Research project

1.11.20-31.3.21

166

c1-c*

UGF - Urbane Grünflächen

Research project

1.4.21-30.09.21

168

LGS - Foyer

Onboarding of students in LGS Projects

1.4.21-30.09.21

188

LGS - Reflexionsraum

Reflection project for students in LGS Projects

1.4.21-30.09.21

207

LGS - Nachhaltiger Konsum

Research project

1.4.21-30.09.21

210

LGS - Bildungsangebote für nachhaltige Entwicklung

Research project

1.4.21-30.09.21

264

LGS - Fahrradmobilität in Städten

Research project

1.4.21-30.09.21

271

Fahrradmobilität in Städten

Research project

1.10.21-30.11.21

269

e1-e*

Kaufentscheidung vs. Nachhaltigkeit

Research project

1.10.21-30.11.21

262

d1-d*

Urbane Grünflächen

Research project

1.10.21-30.11.21

199

Basiskurs

Basic course for onboarding of students on the platform

1.10.21-30.11.21

5

Glossar

Glossar of definitions

persistent

6

Erste Schritte

How to start using score-docs platform

persistent

8

Testbereich

Area for testing score-docs functionalities

persistent

7

Hilfestellungen

Helpful links 

persistent

Other Project-IDs refer to personal assessment documents of individual students which are not included in content.csv

Research-Task-Type

Value

Description

Erheben

Data collection

Analysieren

Case-specific data analysis and sensemaking

Synthetisieren

Cross-case data analysis and sensemaking

Sonstiges

Other, e.g. communication between participants