Commit ccb6b64d authored by Malik Koné's avatar Malik Koné
Browse files

adding the best_paper_award

parent 375f9d0f
# Table of Contents # Table of Contents
1. [CSEDU-2019](#orgbf8e38b) 1. [CSEDU-2019](#org5968523)
1. [Images](#org8ac626a) 1. [Images](#org789fb42)
2. [Code](#org96cf4dc) 2. [Code](#orgc54c525)
1. [Hangout chats:](#orgcba8365) 1. [Hangout chats:](#org4f380ad)
2. [Moodle visualization:](#orgec74280) 2. [Moodle visualization:](#orgaac2801)
3. [Coursera](#orgcd541bc) 3. [Coursera](#orgc546d66)
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# CSEDU-2019 # CSEDU-2019
Resources and annexes to the paper **"[Towards Visual Explorations of Forums' Collective Dynamics in Learning Management Systems](tex_draft.pdf)"** (This paper received the best student paper award) Resources and annexes to the paper **"[Towards Visual Explorations of Forums' Collective Dynamics in Learning Management Systems](tex_draft.pdf)"** (This paper received the [best student paper award](./images/best_paper_award2.jpg))
Checkout the [presentation](mkone_CSEDU2019_diapo.pdf) Checkout the [presentation](mkone_CSEDU2019_diapo.pdf)
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## Images ## Images
...@@ -76,7 +76,7 @@ The images in the paper are sometime small. We offer high enough resolution ima ...@@ -76,7 +76,7 @@ The images in the paper are sometime small. We offer high enough resolution ima
At the top (a) is half of compound yearly actor-actor network. The three bottom images (b), (c) and (d) are closeup around actor 642 during the quarters of the year. At the top (a) is half of compound yearly actor-actor network. The three bottom images (b), (c) and (d) are closeup around actor 642 during the quarters of the year.
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## Code ## Code
...@@ -85,25 +85,25 @@ It is mainly code to preprocess the data files that will then be processed in d3 ...@@ -85,25 +85,25 @@ It is mainly code to preprocess the data files that will then be processed in d3
The exemples of visualisations are accessible online at the following adresses (<span class="timestamp-wrapper"><span class="timestamp">&lt;2019-05-22 mer.&gt;</span></span>): The exemples of visualisations are accessible online at the following adresses (<span class="timestamp-wrapper"><span class="timestamp">&lt;2019-05-22 mer.&gt;</span></span>):
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### Hangout chats: ### Hangout chats:
Visualizations on <https://observablehq.com/@maliky/conversation-visualization-v2> Visualizations on <https://observablehq.com/@maliky/conversation-visualization-v2>
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### Moodle visualization: ### Moodle visualization:
Visualizations on <https://observablehq.com/@maliky/playing-with-moodle-data> Visualizations on <https://observablehq.com/@maliky/playing-with-moodle-data>
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### Coursera ### Coursera
Use the file [Code/SNA-Coursera17/](Code/SNA-Coursera17/) folder to scrape the data from a Coursera course and then wrangle the data to make the visualisation. Use the file <Code/SNA-Coursera17/> folder to scrape the data from a Coursera course and then wrangle the data to make the visualisation.
The visualisation requires graph<sub>tool.py</sub> The visualisation requires graph<sub>tool.py</sub>
Check the [Code/SNA-Coursera17/README.md](Code/SNA-Coursera17/README.md) Check the <Code/SNA-Coursera17/README.md>
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