Wszystkie pola: science-based learning - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Educating epistemological principles, virtues and research skills. Review on Marina Klimenko’s textbook “Research Methods in the Social Sciences”
Autorzy:: Nowak, Ewa
Powiązania:: https://bibliotekanauki.pl/articles/1393967.pdf
Data publikacji:: 2021-08-17
Wydawca:: Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:: research excellence
scientific and research virtues
promoting students’ research competence
investigative psychology
advances in psychological education
M. Klimenko’s textbook Research Methods in the Social Sciences
science-based learning
Opis:: Improving university students’ research skills, research integrity and best standards for scientific excellence is crucial for all disciplines. Marina Klimenko, a senior lecturer at the Universi-ty of Florida, developed an innovative digital textbook entitled Research Methods in the Social Sciences (2020) with the focus on investigative psychology. The edition was powered by the e-learn-ing portal and published by Sentia Publishing. The author’s own epistemological and research expertise is combined here with her competence in higher education didactics. Klimenko’s textbook seems to be perfectly tailored for prospective researchers – and useful for various disciplines representing the social sciences and humanities.
Źródło:: Filozofia Publiczna i Edukacja Demokratyczna; 2020, 9, 1; 66-77
2299-1875
Pojawia się w:: Filozofia Publiczna i Edukacja Demokratyczna
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Inquiry based learning in science education and mathematics for developing bilinguals
Autorzy:: Pavlova, Nataliya H.
Marchev, Dragomir V.
Borisov, Borislav St.
Harizanov, Krasimir V.
Powiązania:: https://bibliotekanauki.pl/articles/628413.pdf
Data publikacji:: 2015
Wydawca:: Fundacja Pro Scientia Publica
Tematy:: developing bilinguals, inquiry-based learning, science education, teachers
Opis:: This article studies the problem of teaching bilingual children. A definition of “developing bilingual” is proposed. The article presents an example of the application of inquiry based learning through which students develop not only math skills but also lexical capabilities. This study offers levels of differentiation in different groups of students. The paper determines advantages and disadvantages of the use of Inquiry Based Learning in developing bilingual groups.
Źródło:: Journal of Education Culture and Society; 2015, 6, 1; 65-74
2081-1640
Pojawia się w:: Journal of Education Culture and Society
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Developing Scientific Work Practice in Business Informatics - Digital Support for a Design Science-based Research Project
Autorzy:: Stary, Christian
Powiązania:: https://bibliotekanauki.pl/articles/426363.pdf
Data publikacji:: 2019
Wydawca:: Szkoła Główna Handlowa w Warszawie
Tematy:: scientific work
research practice
research proposal
design science
learning support
social interaction
self-managed learning
cognitive apprenticeship
scaffolding
learning management
Opis:: When academic students are introduced to scientific work, they need to become familiar with how to select a research topic, to identify research goals, and to structure a research project accordingly. In Business Informatics, research practice is increasingly following a design science approach. In this contribution, we introduce a corresponding digital support scheme. It is based on cognitive apprenticeship and scaffolding to specify the research questions and derive requirements from a problem statement for possible solutions. Learners are supported in a socio-cognitive way, as the set of digital learning-support features comprises peer-to-peer interactions, content co-construction, and a portfolio-like documentation scheme. Context-sensitive (focused) interaction and organizing group work facilitate content co-creation and effective information sharing. They support self-managed scientific skill development while being able to follow structured research procedures.
Źródło:: e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2019, 5 (82); 4-17
1731-6758
1731-7428
Pojawia się w:: e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Barriers in Distance Education Based on the Example of Computer Science Studies
Autorzy:: Krupski, M.
Cader, A.
Powiązania:: https://bibliotekanauki.pl/articles/108678.pdf
Data publikacji:: 2011
Wydawca:: Społeczna Akademia Nauk w Łodzi
Tematy:: distance education
information tools
e-learning quality
Opis:: The following work briefly presents a research project that aims at identifying barriers obstructing distance education. The research was conducted on the overall number of 158 distance students. The comparative group consisted of 430 traditional students. The attention was focused on the problems associated with Internet studies and there was a comparative analysis conducted on the perception of described factors by e-learning and traditional students (day and weekend studies). The results suggest that factors commonly perceived as the main disadvantages of distance studies are not more onerous than for traditional students.
Źródło:: Journal of Applied Computer Science Methods; 2011, 3 No. 1; 47-65
1689-9636
Pojawia się w:: Journal of Applied Computer Science Methods
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: A cough-based COVID-19 detection system using PCA and machine learning classifiers
Autorzy:: Benmalek, Elmehdi
Mhamdi, Jamal El
Jilbab, Abdelilah
Jbari, Atman
Powiązania:: https://bibliotekanauki.pl/articles/38431179.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Tematy:: COVID-19
cough recordings
machine learning
PCA
classification
Opis:: In 2019, the whole world is facing a health emergency due to the emergence of the coronavirus (COVID-19). About 223 countries are affected by the coronavirus. Medical and health services face difficulties to manage the disease, which requires a significant amount of health system resources. Several artificial intelligence-based systems are designed to automatically detect COVID-19 for limiting the spread of the virus. Researchers have found that this virus has a major impact on voice production due to the respiratory system's dysfunction. In this paper, we investigate and analyze the effectiveness of cough analysis to accurately detect COVID-19. To do so, we per-formed binary classification, distinguishing positive COVID patients from healthy controls. The records are collected from the Coswara Dataset, a crowdsourcing project from the Indian Institute of Science (IIS). After data collection, we extracted the MFCC from the cough records. These acoustic features are mapped directly to the Decision Tree (DT), k-nearest neighbor (kNN) for k equals to 3, support vector machine (SVM), and deep neural network (DNN), or after a dimensionality reduction using principal component analysis (PCA), with 95 percent variance or 6 principal components. The 3NN classifier with all features has produced the best classification results. It detects COVID-19 patients with an accuracy of 97.48 percent, 96.96 percent f1-score, and 0.95 MCC. Suggesting that this method can accurately distinguish healthy controls and COVID-19 patients.
Źródło:: Applied Computer Science; 2022, 18, 4; 96-115
1895-3735
2353-6977
Pojawia się w:: Applied Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Teoria wielostronnego kształcenia osobowości podstawą sytuacji edukacyjnych z informatyki w gimnazjum
Theory Multilateral Education of Personality Based on Educationally Situations of Computer Science Learning in Junior High School
Autorzy:: Miterka, Elżbieta
Powiązania:: https://bibliotekanauki.pl/articles/1811105.pdf
Data publikacji:: 2015
Wydawca:: Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:: sytuacja edukacyjna
teoria wielostronnego kształcenia
proces nauczania--uczenia się informatyki w gimnazjum
model mobilnego kształcenia
educational situation
multilateral theory of education
the process of teaching-learning of computer science in junior high school
the model of mobile learning
Opis:: Artykuł prezentuje podstawy procesu kształcenia informatycznego dla III etapu edukacyjnego w świetle teorii wielostronnego kształcenia osobowości i sytuacji edukacyjnych, które mogą stanowić fundament w procesie jego realizacji. Teoria ta, opierając się na złożonym procesie rozwoju człowieka, dokonującym się pod wpływem kształcenia, traktuje wychowanka i jego osobowość jako harmonijną całość, której kształcenie następuje poprzez rozbudzanie i rozwijanie zdolności poznawczych, motywacji i życia uczuciowego oraz zdolności do twórczej działalności praktycznej. Efektem takiego procesu nauczania-uczenia się jest spójnie ukształtowana osobowość ucznia, gotowa na wybór i przyswajanie dostępnych informacji, jak i rozwiązywanie zagadnień teoretycznych i praktycznych, a zarazem przeżywająca treści naukowe, społeczne, moralne i estetyczne oraz biorąca czynny udział w przekształcaniu otaczającej rzeczywistości.
Article presents the theoretical foundations of computer education process for the third stage of education in the light of the theory multilateral education of personality and educationally situations that can be the foundation in the process of computer science learning. This theory is based on the complex process of human development, maked under the influence of education with treats juvenile and his personality as a harmonious whole, which education takes through the awakening and development of cognitive skills, motivation and emotional life and the ability to creative practical activity. The result of such a process of teaching-learning is consistently shaped the personality of the student, ready for selection and assimilation of available information and solving theoretical and practical problems, surviving scientific content, social, moral, and aesthetic and taking an active part in the transformation of the surrounding reality.
Źródło:: Roczniki Pedagogiczne; 2015, 7(43), 2; 23-38
2080-850X
Pojawia się w:: Roczniki Pedagogiczne
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Machine learning-based business rule engine data transformation over high-speed networks
Autorzy:: Neelima, Kenpi
Vasundra, S.
Powiązania:: https://bibliotekanauki.pl/articles/38700094.pdf
Data publikacji:: 2023
Wydawca:: Instytut Podstawowych Problemów Techniki PAN
Tematy:: CRISP-DM
data mining algorithms
business rule
prediction
classification
machine learning
deep learning
AI design
algorytmy eksploracji danych
reguła biznesowa
prognoza
klasyfikacja
nauczanie maszynowe
uczenie głębokie
projekt Sztucznej Inteligencji
Opis:: Raw data processing is a key business operation. Business-specific rules determine howthe raw data should be transformed into business-required formats. When source datacontinuously changes its formats and has keying errors and invalid data, then the effectiveness of the data transformation is a big challenge. The conventional data extraction andtransformation technique produces a delay in handling such data because of continuousfluctuations in data formats and requires continuous development of a business rule engine.The best business rule engines require near real-time detection of business rule and datatransformation mechanisms utilizing machine learning classification models. Since data iscombined from numerous sources and older systems, it is challenging to categorize andcluster the data and apply suitable business rules to turn raw data into the business-required format. This paper proposes a methodology for designing ensemble machine learning techniques and approaches for classifying and segmenting registered numbersof registered title records to choose the most suitable business rule that can convert theregistered number into the format the business expects, allowing businesses to provide customers with the most recent data in less time. This study evaluates the suggested modelby gathering sample data and analyzing classification machine learning (ML) models todetermine the relevant business rule. Experimentation employed Python, R, SQL storedprocedures, Impala scripts, and Datameer tools.
Źródło:: Computer Assisted Methods in Engineering and Science; 2023, 30, 1; 55-71
2299-3649
Pojawia się w:: Computer Assisted Methods in Engineering and Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: The spike-timing-dependent plasticity function based on a brain sequential learning system using a recurrent neuronal network
Autorzy:: Ogata, G.
Natsume, K.
Ishizuka, S.
Hayashi, H.
Powiązania:: https://bibliotekanauki.pl/articles/384197.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: hippocampus
entorhinal cortex
STDP function
brain science
Opis:: This paper examines the spike-timing-dependent plasticity (STDP) at the synapses of the medial entorhinal cortex (EC) and the dentate gyrus (DG) in the hippocampus. The medial and lateral ECs respectively convey spatial and non-spatial information to the hippocampus, and the DG of the hippocampus integrates or binds them. There is a recurrent neuronal network between the EC and the hippocampus called the EC-hippocampus loop. A computational study has shown that using this loop and STDP phenomena at the recurrent EC synapse, sequential learning can be accomplished. But the STDP functions at the synapses of the EC and DG have not yet been studied by neurophysiological experiments. Experiments on STDP phenomena were performed in rats. The STDP function was asymmetrical in the EC synapse and symmetrical in the DG. The medial EC mainly processes the time-series signals for spatial information about visual landmarks when a rat is running in an environment, the lateral EC processes their features, and the DG binds or integrates the information on the positions and features of the landmarks. Thus, the EC-hippocampus loop processes sequential learning of spatial and non-spatial information in parallel, and the DG binds or integrates the two kinds of signals. A system based on this biological phenomenon could have similar characteristics of parallel processing of object features and positions, and their binding.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 2; 25-30
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Sparse data classifier based on first-past-the-post voting system
Autorzy:: Cudak, Magdalena
Piech, Mateusz
Marcjan, Robert
Powiązania:: https://bibliotekanauki.pl/articles/27312911.pdf
Data publikacji:: 2022
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: POI
machine learning
geospatial data
data science
first-past-the-post
random forest
point of interest
Opis:: A point of interest (POI) is a general term for objects that describe places from the real world. The concept of POI matching (i.e., determining whether two sets of attributes represent the same location) is not a trivial challenge due to the large variety of data sources. The representations of POIs may vary depending on the basis of how they are stored. A manual comparison of objects is not achievable in real time; therefore, there are multiple solutions for automatic merging. However, there is no yet the efficient solution solves the missing of the attributes. In this paper, we propose a multi-layered hybrid classifier that is composed of machine-learning and deep-learning techniques and supported by a first-past-the-post voting system. We examined different weights for the constituencies that were taken into consideration during a majority (or supermajority) decision. As a result, we achieved slightly higher accuracy than the best current model (random forest), which also is based on voting.
Źródło:: Computer Science; 2022, 23 (2); 277--296
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Navigation strategy for mobile robot based on computer vision and YOLOv5 network in the unknown environment
Autorzy:: Bui, Thanh-Lam
Tran, Ngoc-Tien
Powiązania:: https://bibliotekanauki.pl/articles/30148249.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Tematy:: mobile robot
navigation
deep learning
computer vision
Opis:: The capacity to navigate effectively in complex environments is a crucial prerequisite for mobile robots. In this study, the YOLOv5 model is utilized to identify objects to aid the mobile robot in determining movement conditions. However, the limitation of deep learning models being trained on insufficient data, leading to inaccurate recognition in unforeseen scenarios, is addressed by introducing an innovative computer vision technology that detects lanes in real-time. Combining the deep learning model with computer vision technology, the robot can identify different types of objects, allowing it to estimate distance and adjust speed accordingly. Additionally, the paper investigates the recognition reliability in varying light intensities. When the light illumination increases from 300 lux to 1000 lux, the reliability of the recognition model on different objects also improves, from about 75% to 98%, respectively. The findings of this study offer promising directions for future breakthroughs in mobile robot navigation.
Źródło:: Applied Computer Science; 2023, 19, 2; 82-95
1895-3735
2353-6977
Pojawia się w:: Applied Computer Science
Dostawca treści:: Biblioteka Nauki

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