Understanding student’s online behavior and their relations inside real class gradings

This Dataset was compiled after 4 months of an Algorithm Introductory Class at a Brazilian University.

A traditional grading system was adopted for evaluation of the students performance, and, at the same time, an online environment let students share posts, answers and classify productions with emojis-based reactions.

The Class was project-based and the evaluation of the skills followed the so-called “21th Century Skills”, in a scale from 0 to 10 each Skill:

• Critical Thinking and Problem Solving Skills – named as SK1;
• Criativity and Inovation Skills – named as SK2;
• Constant and Self Learning Skills – named as SK3;
• Collaboration and Self-Direction Skills – named as SK4;
• Social and Cultural Responsability – named as SK5.

At the online learning environment, the students could post and classify colleagues postings with some reactions. The next image show a post with the reactions given by other students about a coding solution:

Our main question is: What is link between the reactions and the skill levels shown by the student? Is there some sort of interesting findings? Good luck and share your work!

Reactions

Each student was allowed to classify up to 10 reactions/day, one reaction type per post, in posts created by other colleagues. There was available the following reactions (as wink-like image format):

• Confusing post
• Amazing post
• Bad post
• Creative post
• Collaborative post
• Nice Code post
• Helpful post

This way, one student could give all the 7 reactions in one post, but there was a limit of 10 reactions per day.

Final Student Result

The last column of the dataset brings if the student was approved or not at the class. The final result was a simple average between the 5 skills.

Inspiration

Our inspiration was based under some researches discussing the use of social features inside real classroom projects and its contributions to the student identity and active behavior.