A model to characterize exercises using probabilistic methods Articles uri icon

publication date

  • December 2021

start page

  • 594

end page

  • 599

abstract

  • Many studies have been conducted on modeling learners in education using probabilistic methods to infer different indicators. However, little research has been done on modeling content in education by estimating different content characteristics using probabilistic methods. Based on the existing gap in this area, this paper presents a model for exercises using probabilistic methods with interactions carried out by students to obtain content characteristics and their relationship such as the number of attempts, grade, and time spent related with student efficiency. Simulations were performed to train the model and find the different curves that best characterize the exercises based on programmatically generated interactions. This model allows the teacher to redesign the exercises to improve the student¿s learning process.

subjects

  • Computer Science
  • Telecommunications

keywords

  • applied computing; education; computing methodologies; modeling and simulation; mathematics of computing; probability and statistics