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Wyświetlanie 1-10 z 51
Tytuł:
Development of Seamless Learning to Facilitate Formal and Informal Learning in Elementary Education
Autorzy:
Setyosari, Punaji
Kuswandi, Dedi
Ulfa, Saida
Powiązania:
https://bibliotekanauki.pl/articles/1963637.pdf
Data publikacji:
2020-09-30
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
instructional design
learning planning matrices
learning activity
mobile technology
Opis:
Environmental education in primary schools has not built sufficient awareness in formal-informal learning experience. The development of seamless learning is an alternative innovation in building students’ learning experiences. However, there is limited research on its implementation in the learning process in elementary schools with limited mobile technology. Therefore, the purpose of this research was to develop instructional design and learning planning matrices for seamless learning on teachers’ and students’ activities to facilitate formal and informal learning with limited use of mobile technology in elementary schools. Based on the instructional design and learning planning matrices developed, the context reconstruction in a seamless learning design was successfully used in guiding the teachers’ and students’ activities. The limitations of mobile technology in the schools could be replaced with the use of learning laboratories, as well as parents’ support at home. Furthermore, the instructional design and learning matrix developed were feasible, valid, and practical in application in elementary schools. Therefore, the community has a vital role to play in improving students’ learning experiences aside from schools.
Źródło:
The New Educational Review; 2020, 61; 51-62
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Unconventional ways of solving problems in mathematics classes
Autorzy:
Doulík, Pavel
Eisenmann, Petr
Přibyl, Jiří
Škoda, Jiří
Powiązania:
https://bibliotekanauki.pl/articles/2005066.pdf
Data publikacji:
2016-03-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
heuristic method of teaching
problem-based learning
inquiry-based learning
constructivist theories
learning activity management
Opis:
The contribution enquires into possibilities of application of the heuristic methods in the teaching process, specifically its applications during the classes of mathematics in grammar school. In the frame of the research the influence was monitored of the unconventional way of solving problems during classes of mathematics in relation to the evaluation of educational advancements. Furthermore, pupils evaluated their attitude towards mathematical study including their viewpoint on problematic exercises in maths and the successfulness of solving these mathematical exercises was also evaluated. The results of the experimental group were compared to the same areas in the control group.
Źródło:
The New Educational Review; 2016, 43; 53-67
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Self-regulation of learning activity of adolescents in the transitional age of development
Samoregulacja uczenie się nastolatków w wieku dorastania
Autorzy:
ZOBKOV, Alexander
Powiązania:
https://bibliotekanauki.pl/articles/458009.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Rzeszowski
Tematy:
self-regulation
adolescent
learning activity
confidence
components of self-regulation
samoregulacja
nastolatek
działania edukacyjne
samoocena
komponenty samoregulacji
Opis:
This article shows that as the internal dominant factor of self-regulation of behavior and activity of adolescents in transitional period of age development appears the confidence of a leaner, on the level of development of which depends the ability of adolescents to organize, guide and regulate the learning activity by the intellectual and volitional, moral and ethical and emotional and communicative channels
W artykule pokazano, iż dominującym czynnikiem w wewnętrznej samoregulacji zachowań i aktywności młodzieŜy w okresie dorastania jest osiągnięcie poziomu rozwoju samodzielności uczenia się, która zaleŜy od zdolności nastolatka do organizowania, kierowania i regulowania kształcenia intelektualnych, wolicjonalnych, moralnych oraz emocjonalnych kanałów komunikacyjnych
Źródło:
Edukacja-Technika-Informatyka; 2012, 3, 1; 36-41
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Personal Determinants of Mental Reliability of College Students in Learning Activities
Autorzy:
Filatov, Denis
Powiązania:
https://bibliotekanauki.pl/articles/2044845.pdf
Data publikacji:
2021-12-28
Wydawca:
Uniwersytet Rzeszowski
Tematy:
student
learning and professional activity
mental reliability
personal determinants
college
Opis:
The paper deals with methodological, theoretical and practical foundations of the problem of mental reliability of a person performing an activity. The problem of personal determinants of reliability is considered. It is concluded that in Russian psychology “reliability” is an interdisciplinary and general scientific concept. The author points out that the study and analysis of this characteristic of the personality of college students makes it possible to arrange and manage professional development.
Źródło:
Journal of Education, Technology and Computer Science; 2021, 12, 2(32); 116-120
2719-6550
Pojawia się w:
Journal of Education, Technology and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Transformative Learning of Educationally Active Women in the Context of the COVID-19 Pandemic
Autorzy:
Ciechanowska, Dorota
Kozerska, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/2159466.pdf
Data publikacji:
2022-12-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
transformative learning
learning in a crisis
adult learning
educational activity
learning during the COVID-19 pandemic
Opis:
Objective: The study aims to determine whether educationally active women present signs of transformative learning in their own experiences of the COVID-19 pandemic. The focus of the study is the relationship between experiencing transformative learning in a pandemic and the sense of loneliness, received social support, sense of life satisfaction and age. Methods: The study was conducted among 258 educationally active women – part-time students, as well as students of the Universities of the Third Age. Age of the surveyed women: from 19 to 87 years. Data were collected using the online test method. A statistical significance of differences was tested with the U Mann-Whitney test and the two proportion z-test. Results: Most of the surveyed women manifested elements of transformative learning in their experience of the pandemic. Those scoring high on the Transformative Learning in a Pandemic Situation scale have had their life satisfaction decrease to a greater extent than those scoring low. The group scoring high on the Transformative Learning in a Pandemic Situation scale is characterised by a higher sense of loneliness. No relationship was found between perceived manifestations of transformative learning and age, social support, place of residence and education. Discussion: The transformative potential of learning can be seen in a pandemic situation. The obtained data provide arguments supporting the supposition that the feeling of loneliness, influencing the lowering of satisfaction from life, is a factor triggering learning and leading to the change of habits of thinking and acting of educationally active women.
Źródło:
The New Educational Review; 2022, 70; 57-67
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Aktywność edukacyjna osób starszych jako predykator pomyślnego starzenia się
Educational activity of seniors as a predictor of successful ageing
Autorzy:
Wiśniewska, Jolanta Izabela
Powiązania:
https://bibliotekanauki.pl/articles/1372590.pdf
Data publikacji:
2018-09-15
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
educational activity
paradigmatic change
continuous learning
lifelong learning
elderly people
post-modernity
Opis:
The article presents a paradigmatic change taking place in the theoretical approach to adult education. Against this background and in the context of contemporary conditions, the author points to the importance of learning from everyday experience and the role of educational activity in this process. The discussed issues were focused on the elderly.
Źródło:
Interdyscyplinarne Konteksty Pedagogiki Specjalnej; 2018, 22; 31-50
2300-391X
Pojawia się w:
Interdyscyplinarne Konteksty Pedagogiki Specjalnej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Indywidualizacja procesu nauczania na odległość w oparciu o analizę aktywności studentów
An individualization of distance learning process on the ground of students activities analysis
Autorzy:
Ludwiczuk, R.
Bochniak, A.
Powiązania:
https://bibliotekanauki.pl/articles/289037.pdf
Data publikacji:
2007
Wydawca:
Polskie Towarzystwo Inżynierii Rolniczej
Tematy:
indywidualizacja procesu nauczania
e-learning
blended learning
dziennik aktywności
individualization of learning process
activity register
Opis:
W artykule przedstawiono problem indywidualizacji w procesie kształcenia oraz rolę bazy wiedzy zbudowanej w oparciu o analizę aktywności studentów. Wspomniana baza wiedzy umożliwia w pewnym stopniu ocenę studenta pod względem aktywności w kursie, inteligencji czy pracowitości. Ocena ta z kolei daje możliwość dostosowania kursu (np. jego tempa) do indywidualnych cech studenta.
The aim of this article is to show a role of the knowledgebase based on analyzes of students' activity in the individualization process of e-learning. The mentioned base enables some opinion of student's activity, intelligence and diligence. Such opinion gives possibility of course adjustment (e.g. its speed) for individual student characteristics.
Źródło:
Inżynieria Rolnicza; 2007, R. 11, nr 2 (90), 2 (90); 151-158
1429-7264
Pojawia się w:
Inżynieria Rolnicza
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recognition of sports exercises using inertial sensor technology
Autorzy:
Krutz, Pascal
Rehm, Matthias
Schlegel, Holger
Dix, Martin
Powiązania:
https://bibliotekanauki.pl/articles/30148258.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
human activity recognition
machine learning
neural networks
classifier
Opis:
Supervised learning as a sub-discipline of machine learning enables the recognition of correlations between input variables (features) and associated outputs (classes) and the application of these to previously unknown data sets. In addition to typical areas of application such as speech and image recognition, fields of applications are also being developed in the sports and fitness sector. The purpose of this work is to implement a workflow for the automated recognition of sports exercises in the Matlab® programming environment and to carry out a comparison of different model structures. First, the acquisition of the sensor signals provided in the local network and their processing is implemented. Realised functionalities include the interpolation of lossy time series, the labelling of the activity intervals performed and, in part, the generation of sliding windows with statistical parameters. The preprocessed data are used for the training of classifiers and artificial neural networks (ANN). These are iteratively optimised in their corresponding hyper parameters for the data structure to be learned. The most reliable models are finally trained with an increased data set, validated and compared with regard to the achieved performance. In addition to the usual evaluation metrics such as F1 score and accuracy, the temporal behaviour of the assignments is also displayed graphically, allowing statements to be made about potential causes of incorrect assignments. In this context, especially the transition areas between the classes are detected as erroneous assignments as well as exercises with insufficient or clearly deviating execution. The best overall accuracy achieved with ANN and the increased dataset was 93.7 %.
Źródło:
Applied Computer Science; 2023, 19, 1; 152-163
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mixture of Metrics Optimization for Machine Learning Problems
Autorzy:
Wiercioch, Magdalena
Śmieja, Marek
Powiązania:
https://bibliotekanauki.pl/articles/1373676.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:
metric learning
classification
clustering
chemical compound activity
fingerprint
Opis:
The selection of data representation and metric for a given data set is one of the most crucial problems in machine learning since it affects the results of classification and clustering methods. In this paper we investigate how to combine a various data representations and metrics into a single function which better reflects the relationships between data set elements than a single representation-metric pair. Our approach relies on optimizing a linear combination of selected distance measures with use of least square approximation. The application of our method for classification and clustering of chemical compounds seems to increase the accuracy of these methods.
Źródło:
Schedae Informaticae; 2015, 24; 83-92
0860-0295
2083-8476
Pojawia się w:
Schedae Informaticae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The prediction of new Covid-19 cases in Poland with machine learning models
Autorzy:
Chwila, Adam
Powiązania:
https://bibliotekanauki.pl/articles/14764465.pdf
Data publikacji:
2023-03-15
Wydawca:
Główny Urząd Statystyczny
Tematy:
machine learning
time series
COVID-19
forecasting
economic activity
Opis:
The COVID-19 pandemic has had a huge impact both on the global economy and on everyday life in all countries all over the world. In this paper, we propose several possible machine learning approaches to forecasting new confirmed COVID-19 cases, including the LASSO regression, Gradient Boosted (GB) regression trees, Support Vector Regression (SVR), and Long-Short Term Memory (LSTM) neural network. The above methods are applied in two variants: to the data prepared for the whole Poland and to the data prepared separately for each of the 16 voivodeships (NUTS 2 regions). The learning of all the models has been performed in two variants: with the 5-fold time-series cross-validation as well as with the split into the single train and test subsets. The computations in the study used official statistics from government reports from the period of April 2020 to March 2022. We propose a setup of 16 scenarios of the model selection to detect the model characterized by the best ex-post prediction accuracy. The scenarios differ from each other by the following features: the machine learning model, the method for the hyperparameters selection and the data setup. The most accurate scenario for the LASSO and SVR machine learning approaches is the single train/test dataset split with data for the whole Poland, while in case of the LSTM and GB trees it is the cross validation with data for whole Poland. Among the best scenarios for each model, the most accurate ex-post RMSE is obtained for the SVR. For the model performing best in terms of the ex-post RMSE, the interpretation of the outcome is conducted with the Shapley values. The Shapley values make it possible to present the impact of auxiliary variables in the machine learning model on the actual predicted value. The knowledge regarding factors that have the strongest impact on the number of new infections can help companies to plan their economic activity during turbulent times of pandemics. We propose to identify and compare the most important variables that affect both the train and test datasets of the model.
Źródło:
Statistics in Transition new series; 2023, 24, 2; 59-83
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-10 z 51

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