Data Science Modeling and Constraint-Based Data Selection for EEG Signals Denoising Using Wavelet Transforms

Garvanova, Magdalena; Garvanov, Ivan; Jotsov, Vladimir

doi:10.1007/978-3-030-78124-8_11

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2022

2023

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Cited by 3 publications

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“…The course project is more informative and their assessment is an intellectual process. The models used for assessment make good use of artificial intelligence techniques to mimic the decision-making process for evaluating learners' knowledge [12,13]. Graph knowledge models are formalized using fuzzy sets, fuzzy logic, neural networks, semantic networks, and other uncertainty modeling formalisms.…”

Section: Methodsmentioning

confidence: 99%

Intelligent methods for impartial and objective evaluation of a course project

Uzunova-Dimitrova

2023

E3S Web Conf.

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It is suggested that students' course projects be evaluated formally using an unorthodox use of the dichotomous Rasch model and fuzzy assessments of the criteria. The approach may be integrated into e-learning systems and enables program implementation. Keywords: E-learning in higher education; evaluation of written works of students; one-parameter Rasch model; Rasch measurement; formalization of the evaluation process; STEM.

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Section: Methodsmentioning

confidence: 99%