Knowing how to study effectively and efficiently is the key to success for many university students. Therefore, our initial research question was: Given degree of study time for goal object materials (STG), degree of repetition (SCG), degree of study time of user for related objects (STR), exam performance of user for related objects (LPR), and exam performance of user for goal objects (PEG), what would be the overall knowledge level of the user (UNS)? However, after further analysis (which will be explained below), we have altered our research question: Given exam performance of users for related objects (LPR), and exam performance of users for goal objects (PEG), what would be the overall knowledge level of the user (UNS)? The dataset that we will be using to answer this question is called User Knowledge (retrieved from https://archive.ics.uci.edu/ml/datasets/User+Knowledge+Modeling). The User Knowledge Modeling Data Set classifies the overall knowledge level of a user into 4 categories: Very Low, Low, Middle, High.
-
Notifications
You must be signed in to change notification settings - Fork 0
AshmitGupta/User-Knowledge-Level-Analysis
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Analysis of the User Knowledge Level, given certain parameters.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published