Abstract
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.
This work has been supported by FCT Fundação para a Ciência e Tecnologia within the R &D Units Project Scope UIDB/05757/2020, UIDP/05757/2020, SusTEC LA/P/0007/2021 and Erasmus Plus KA2 within the project 2021-1-PT01-KA220-HED-000023288. Beatriz Flamia Azevedo is supported by FCT Grant Reference SFRH/BD/07427/2021.
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References
Alhawiti, N.M.: The influence of active learning on the development of learner capabilities in the college of applied medical sciences: mixed-methods study. Adv. Med. Educ. Pract. 14, 87–99 (2023)
Flamia Azevedo, B., Rocha, A.M.A.C., Fernandes, F.P., Pacheco, M.F., Pereira, A.I.: Evaluating student behaviour on the mathe platform - clustering algorithms approaches. In: Simos, D.E., Rasskazova, V.A., Archetti, F., Kotsireas, I.S., Pardalos, P.M. (eds.) Learning and Intelligent Optimization, LION 2022. LNS, vol. 13621, pp. 319–333. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-24866-5_24
Azevedo, B.F., Amoura, Y., Rocha, A.M.A.C., Fernandes, F.P., Pacheco, M.F., Pereira, A.I.: Analyzing the MathE platform through clustering algorithms. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds.) Computational Science and Its Applications, ICCSA 2022 Workshops, ICCSA 2022. LNCS, vol. 13378, pp. 201–218. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-10562-3_15
Azevedo, B.F., Pereira, A.I., Fernandes, F.P., Pacheco, M.F.: Mathematics learning and assessment using MathE platform: a case study. Educ. Inf. Technol. 27, 1747–1769 (2021)
Deslauriers, L., McCarty, L.S., Miller, K., Callaghan, K., Kestin, G.: Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proc. Nat. Acad. Sci. 116(39), 19251–19257 (2019)
Dunkle, K.M., Yantz, J.L.: Intentional design and implementation of a “flipped’’ upper division geology course: improving student learning outcomes, persistence, and attitudes. J. Geosci. Educ. 69(1), 55–70 (2021)
Gu, X., et al.: Active versus passive strategy in online creativity training: how to best promote creativity of students with different cognitive styles? Think. Skills Creat. 44, 101021 (2022)
Indorf, J.L., et al.: Distinct factors predict use of active learning techniques by pre-tenure and tenured stem faculty. J. Geosci. Educ. 69(4), 357–372 (2021)
Keiler, L.S.: Teachers’ roles and identities in student-centered classrooms. Int. J. STEM Educ. 5(1), 34 (2018)
Montgomery, D.C.: Design and Analysis of Experiments. Wiley, Hoboken (2017)
NCTM: Principles and Standards for School Mathematics, vol. 1. National Council of Teachers of Mathematics (NCTM) (2000)
Pagano, M., Gauvreau, K.: Principles of Biostatistics. Duxbury Press (2000)
Weisstein, E.W.: Linear interpolation. From MathWorld - A Wolfram Web Resource. http://mathworld.wolfram.com/LinearInterpolation.html
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Azevedo, B.F., de Souza, R.M., Pacheco, M.F., Fernandes, F.P., Pereira, A.I. (2024). Application of Pattern Recognition Techniques for MathE Questions Difficulty Level Definition. In: Pereira, A.I., Mendes, A., Fernandes, F.P., Pacheco, M.F., Coelho, J.P., Lima, J. (eds) Optimization, Learning Algorithms and Applications. OL2A 2023. Communications in Computer and Information Science, vol 1981. Springer, Cham. https://doi.org/10.1007/978-3-031-53025-8_21
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