The data in this repository comes from an online language game. Students complete levels by conversing with each other through written messages in a language other than their native tongue using online avatars, prompts for conversation topics are provided by the game's AI. The game matches students of similar ability within the same level. Students earn "Fluency Cash" for using correct grammar and syntax which they can use to change aspects of their avatar. For example, clothing and physical attributes, and also "skills" they are interested in working on such as "past tense", "dining vocabulary".
Please look for patterns in between the variables in the data set through visualizations, then build a model to verify your visual conclusions. Based on these conclusions, how would you intervene in this game to improve learning?
id - student id number
login - how many times a student logged in over a one month period
levels - the levels a student is in representing proficiency (0 - 9)
skill.tree - how many skills a student has added to their avatar
avatar.complexity - how many modifcations a student has made to their avatar
degree.centrality.rank - a rank number representing the relative centrality of a student in a social network of students connected in terms of who they have online discussions with