#Requirement
nltk
pandas
sklearn
openpyxl
Recommending Remedial Readings Using Student Knowledge States
This file is generated utilizing PFA model - you can utilize any PFA or student model the output required is as below:
data/vec/pfa_sample_concepts_knowledge.csv (this is just a sample -- as I am not allowed to share the original data)
Contact me in case you need PFA code
##descrition of CSV Fields
interaction_id - interaction id - to maintain order of student practice
quiz_id - quiz id
current_concepts - to check what concepts are associated with this quiz
student_id - studentid
outcome - 1 for success 0 for failure
quiz_section -section the quiz belongs to
concepts - other columns are concepts with each column with probability of student failure on that KC
recommendation.py - to find the matching
evaluate.py to generate output
If you are interested in dataset for this paper please send me an email to k.thaker@pitt.edu