A successful and comprehensive multi-dimensional categorization system for educational software would benefit many facets of the software life cycle. In this paper we consider the categorization of one particular dimension, namely, student-computer interactions.

Text classification is a supervised technique that uses labelled training data to learn the classification system and then automatically classifies the remaining text using the learned system. This paper investigates Naïve Bayesian algorithm based on Chi Square features selection method. The base of our comparisons are macro F1, macro recall and macro precision evaluation measures. The experime...

Visual learning equity is a health justice effort to increase the diversity of skin color in images used for dermatology education. However, visual assessment subjective and varies based on viewers’ personal characteristics contextual situation. Here, we aim create an objective measure assessing using average red, green, blue (RGB) values image pixels categorize images. The RGB model additive a...