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Publication
Application of Pattern Recognition Techniques for MathE Questions Difficulty Level Definition
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Advisor(s)
Abstract(s)
Active learning is a modern educational strategy that
involves students in the learning process through diverse interactive and
participatory activities. The MathE platform is an international online
platform created to support students and lecturers in the Mathematics
teaching and learning process. This platform offers a tool to aid and
engage students, ensuring new and creative ways to encourage them to
improve their mathematical skills. The study proposed in this paper
refers to a comprehensive investigation of the patterns that may exist
within the set of questions available on the MathE platform. The objective
is to investigate how to evaluate the student’s opinions about the
question’s difficulty levels based on the variables extracted from student
answers collected through surveys applied among the platform’s users.
Moreover, a comparative study between variables is performed using correlation
and hypothesis tests. Furthermore, based on the results obtained
for samples of different sizes, it was possible to define the most appropriate
number of answers that should be considered to categorize the
question’s difficulty level. The results demonstrated that the variables
extracted could be used to carry out the question level, and 30 answers
are the most appropriate number of questions that must be used to categorize
the question level.
Description
Keywords
Active learning E-learning Higher education Mathematics
Pedagogical Context
Citation
Azevedo, Beatriz Flamia; Souza, Roberto Molina de; Pacheco, Maria F.; Fernandes, Florbela P.; Pereira, Ana I. (2024). Application of Pattern Recognition Techniques for MathE Questions Difficulty Level Definition. In 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023). Cham: Springer Nature, Vol. 1, p. 300–315. ISBN 978-3-031-53024-1
Publisher
Springer Nature