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Inferring unobservable learning variables from students' help seeking behavior
 

Summary: Inferring unobservable learning variables from
students' help seeking behavior
Ivon Arroyo1
, Tom Murray1
, Beverly P. Woolf1
, Carole Beal2
1
Computer Science Department, University of Massachusetts Amherst
{ivon, tmurray, bev}@cs.umass.edu
2
Information Sciences Institute, University of Southern California
cbeal@isi.edu
Abstract. Results of an evaluation of students' attitudes and their rela-
tionship to student behaviors within a tutoring system are presented.
Starting from a correlation analysis that integrates survey-collected stu-
dent attitudes, learning variables, and behaviors while using the tutor,
we constructed a Bayesian Network that infers attitudes and perceptions
towards help and the tutoring system.
1 Introduction
One of the main components of an interactive learning environment (ILE) is the

  

Source: Arroyo, Ivon M. - Center for Knowledge Communication, University of Massachusetts at Amherst

 

Collections: Computer Technologies and Information Sciences