Initial Motivation as a Factor Predicting the Progress of Learning Mathematics for the Blind

Maćkowski, Michał; Rojewska, Katarzyna; Dzieciątko, Mariusz; Spińczyk, Dominik

doi:10.1007/978-3-030-23762-2_31

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…The reason for such a choice was the fact that it is a standard for the description of mathematical exercises. Details of the extended syntax were presented in our earlier publication related to the topic of mathematics [18,42].…”

Section: The Priority Is Determined Individually Based On Historical ...mentioning

confidence: 99%

Methods and Tools Supporting the Learning and Teaching of Mathematics Dedicated to Students with Blindness

et al. 2023

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Teaching mathematics to blind people is a challenge of modern educational methods. This article presents a method of preparing the adapted material and its usage in the learning process of mathematics by blind people, as well as the results of evaluating the proposed approach. The presented results were obtained based on a mathematical analysis course conducted in two classes—with and without using the developed method. The developed method uses the conceptualization of knowledge as a graph. The learning process is supported by feedback processes that consider the mechanisms of knowledge and error vectors, on which a personalized adaptation of the learning path is made for each particular student. The evaluation process has shown a statistically significant improvement in learning results achieved by blind students. The average final test score in the group working with the platform during learning increased by 14%. In addition, there was an increase in cooperation between blind students who had the opportunity to take on the role of a teacher, which was observed in 27% of the participants. Our results indicate the effectiveness of the developed approach and motivate us to evaluate the method in a broader group of students. The engagement of students indirectly indicates overcoming the barriers known from the state of the art: uncertainty, poor motivation, and difficulties in consolidating the acquired skills.

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Section: The Priority Is Determined Individually Based On Historical ...mentioning

confidence: 99%

Methods and Tools Supporting the Learning and Teaching of Mathematics Dedicated to Students with Blindness

et al. 2023

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“…The methodological approach considers the sentiment analysis as supervised or no supervised classification depending on what kind of documents, re-classified as positive and negative, are accessible. In the unsupervised approach, the dictionary methods are applied [27][28][29][30]. In the supervised approach, the algorithms of machine learning, such as artificial neural networks [31][32][33][34], Support Vector Machine [35] are used in order to find the dependencies between the features of the text excerpt and the opinion expressed in a document.…”

Section: Sentiment Analysis Of the Statementmentioning

confidence: 99%

Computer-aided therapeutic diagnosis for anorexia

Spińczyk

Bas

Dzieciątko³

et al. 2020

BioMed Eng OnLine

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Background: Anorexia nervosa is a clinical disorder syndrome of the wide spectrum without a fully recognized etiology. The necessary issue in the clinical diagnostic process is to detect the causes of this disease (e.g., my body image, food, family, peers), which the therapist gradually comes to by verifying assumptions using proper methods and tools for diagnostic process. When a person is diagnosed with anorexia, a clinician (a doctor, a therapist or a psychologist) proposes a therapeutic diagnosis and considers the kind of treatment that should be applied. This process is also continued during therapeutic diagnosis. In both cases, it is recommended to apply computeraided tools designed for testing and confirming the assumptions made by a psychologist. The paper aims to present the computer-aided therapeutic diagnosis method for anorexia. The proposed method consists of 4 stages: free statements of a patient about his/her body image, the general sentiment analysis of statement based on Recurrent Neural Network, assessment of the intensity of five basic emotions: happiness, anger, sadness, fear and disgust (using the Nencki Affective Word List and conversion of words to their basic form), and the assessment of particular areas of difficulties-the sentiment analysis based on the dictionary approach was applied. Results: The sentiment analysis of a document achieved 72% and 51% of effectiveness, respectively, for RNN and dictionary-based methods. The intensity of sadness (emotion) occurring within the dictionary method is differentiated between control and research group at the level of 10%. Conclusion: The quick access to the sentiment analysis of a statement on the image of patient's body, emotions experienced by the patient and particular areas of difficulties of people prone to the anorexia nervosa disorders, may help to establish the diagnosis in a very short time and start an immediate therapy. The proposed automatic method helps to avoid patient's aversions towards the therapy, which may include avoiding patient-therapist communication, talking about less essential topics, coming late for the sessions. These circumstances can guarantee promising prognosis for recovering.

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Methods Supporting the Understanding of Structural Information by Blind People and Selected Aspects of Their Evaluation

Maćkowski

Rojewska

Dzieciątko³

et al. 2020

Advances in Intelligent Systems and Computing

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Initial Motivation as a Factor Predicting the Progress of Learning Mathematics for the Blind

Cited by 5 publications

References 7 publications

Methods and Tools Supporting the Learning and Teaching of Mathematics Dedicated to Students with Blindness

Methods and Tools Supporting the Learning and Teaching of Mathematics Dedicated to Students with Blindness

Computer-aided therapeutic diagnosis for anorexia

Methods Supporting the Understanding of Structural Information by Blind People and Selected Aspects of Their Evaluation

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