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Tytuł:
Strategies of solving tasks while using the multimedia computer program by 7-year-old students
Autorzy:
Amos, Jelinek, Jan
Powiązania:
https://bibliotekanauki.pl/articles/890397.pdf
Data publikacji:
2016
Wydawca:
Akademia Pedagogiki Specjalnej im. Marii Grzegorzewskiej. Wydawnictwo APS
Tematy:
learning mathematics
children aged 7 years
the effectiveness of educational
computer software
multimedia software
Opis:
Both in the classroom as well as on the computer screen pupils can apply similar strategies of dealing with tasks (with difficult situation). For this reason multimedia programs for learning mathematics treated are as educational alternative manner of the forming amongst children abilities of solving problems. Domain of computer programs is better adapting the level of difficulty of tasks to individual possibilities of each of users. It seems that contemporary multimedia programs are effective (Kaczmarek, 2003; Watoła, 2006; Raszka, 2008). However from conducted research which are taking into account behavior of pupils while using the computer is pointing out to the uncertainty in this belief. It turns out that abilities acquired while using the multimedia program of children aren't transferring for solving problems in tasks of the paper-pencil type (Kengfeng, 2008).
Źródło:
International Journal of Pedagogy, Innovation and New Technologies; 2016, 3(2); 38-46
2392-0092
Pojawia się w:
International Journal of Pedagogy, Innovation and New Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Effect of Dual Hyperparameter Optimization on Software Vulnerability Prediction Models
Autorzy:
Bassi, Deepali
Singh, Hardeep
Powiązania:
https://bibliotekanauki.pl/articles/2203949.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
software vulnerability
hyperparameter optimization
machine learning algorithm
data balancing techniques
data complexity measures
Opis:
Background: Prediction of software vulnerabilities is a major concern in the field of software security. Many researchers have worked to construct various software vulnerability prediction (SVP) models. The emerging machine learning domain aids in building effective SVP models. The employment of data balancing/resampling techniques and optimal hyperparameters can upgrade their performance. Previous research studies have shown the impact of hyperparameter optimization (HPO) on machine learning algorithms and data balancing techniques. Aim: The current study aims to analyze the impact of dual hyperparameter optimization on metrics-based SVP models. Method: This paper has proposed the methodology using the python framework Optuna that optimizes the hyperparameters for both machine learners and data balancing techniques. For the experimentation purpose, we have compared six combinations of five machine learners and five resampling techniques considering default parameters and optimized hyperparameters. Results: Additionally, the Wilcoxon signed-rank test with the Bonferroni correction method was implied, and observed that dual HPO performs better than HPO on learners and HPO on data balancers. Furthermore, the paper has assessed the impact of data complexity measures and concludes that HPO does not improve the performance of those datasets that exhibit high overlap. Conclusion: The experimental analysis unveils that dual HPO is 64% effective in enhancing the productivity of SVP models.
Źródło:
e-Informatica Software Engineering Journal; 2023, 17, 1; art. no. 230102
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Projektowo-zorientowane nauczanie zasad inżynierii oprogramowania
Teaching software engineering principles in a project-oriented course setting
Autorzy:
Chmielewski, Andrzej
Jarząbek, Stanisław
Powiązania:
https://bibliotekanauki.pl/articles/2197612.pdf
Data publikacji:
2021-10-15
Wydawca:
Uniwersytet Rzeszowski
Tematy:
zasady inżynierii oprogramowania
projektowo-zorientowane nauczanie
projekt zespołowy
iteracyjny rozwój programu
interfejsy komponentów programowych
software engineering principles
project-based learning
team projects
iterative development
programming interfaces
Opis:
Typowy model nauczania opiera się na wiedzy przekazywanej studentom na wykładach, ćwiczeniach/laboratoriach, oraz ewaluacji studentów w formie testów i egzaminu końcowego. W przypadku inżynierii oprogramowania taki model nauczania nie zawsze jest efektywny. Pomimo pomyślnego wyniku egzaminu, w doświadczeniu autorów, studenci często w niewystarczającym stopniu transferują informacje nabyte podczas zajęć w wiedzę roboczą pozwalającą im na wykorzystanie jej w praktyce programowania, a nawet w kolejnych kursach, w których należy zastosować zdobytą wiedzę w innym kontekście. Aby temu zaradzić, do programu zajęć często włącza się wykonanie także projektów programistycznych. Autorzy niniejszego artykułu są zdania, że aby uzyskać lepsze wyniki należy zwiększyć wagę projektów w dwóch aspektach. Po pierwsze, treści teoretyczne i formalne uczone w części wykładowej kursu powinny być ściśle powiązane z pracą projektową, zarówno tematycznie, jak i czasowo. Po drugie, zaliczenie końcowe powinno być oparte na ewaluacji pracy projektowej, a egzamin pisemny może pełnić rolę pomocniczą. Autorzy wyjaśniają metodologię nauczania projektowo-zorientowanego na przykładzie kursów uczonych na tych zasadach przez ostatnie 15 lat na Narodowym Uniwersytecie w Singapurze (NUS) i Politechnice Białostockiej (PB).
Typically, our courses include teaching lectures, tutorials/labs, and student evaluation in interim tests and final exams. For courses in which students supposed to learn practical application of software engineering principles, such a teaching model not always yields satisfactory results: Passing an exam does not guarantee that students can transfer absorbed knowledge into their programming practice, or even use it effectively in follow up courses that require students to apply that knowledge in a new context. To counter this problem, educators often include substantial programming projects into their courses. It is authors' opinion that to get better teaching outcomes, It is important to enhance the role of projects in software engineering courses in two aspects. Firstly, lecture material should be tightly integrated and synchronized with the project work. Secondly, course evaluation should be based on evaluation of the project work, with written tests and final exams playing a complementary role. In the paper, authors motivate and explain their methodology to teach a project-oriented course based on a 15-year experience of teaching such courseat the National University of Singapore and Bialystok University of Technology.
Źródło:
Dydaktyka informatyki; 2021, 16; 121-129
2083-3156
2543-9847
Pojawia się w:
Dydaktyka informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An application framework to systematically develop complex learning resources based on collaborative knowledge engineering
Autorzy:
Gañán, D.
Caballé, S.
Conesa, J.
Xhafa, F.
Powiązania:
https://bibliotekanauki.pl/articles/331222.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
software infrastructure
application framework
collaborative knowledge engineering
on line collaborative learning
discussion forum
virtualization
collaborative session
collaborative complex learning resource
Opis:
This contribution proposes software infrastructure to support new types of learning methodologies and resources based on collaborative knowledge engineering by means of an innovative application framework called the virtualized collaborative sessions framework (VCSF). The VCSF helps meet challenging collaborative knowledge engineering requirements in online learning, such as increasing group members' learning performance during the on-line collaborative learning process. In turn, systematic application of the VCSF platform enriched with semantic knowledge engineering technologies enables e-learning developers to leverage successful collaborative learning experiences in a software reuse fashion while saving development time and effort. The framework is prototyped and successfully tested in real environments, thus showing the software reuse capability and the collaborative knowledge engineering benefits of the VCSF approach. The research reported in this paper was undertaken within the ALICE project funded through the European 7th Framework Program (FP7).
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 2; 361-375
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An exploratory case study to investigate perceived pronunciation errors in Thai primary school students using audio-visual speech recognition
Autorzy:
Graham, Steven
Powiązania:
https://bibliotekanauki.pl/articles/2087181.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej w Lublinie. IATEFL Poland Computer Special Interest Group
Tematy:
Speech recognition software
audio visual
English
computer assisted language learning
Opis:
An explorative case study has been conducted at a small rural school in the north east of Thailand to investigate the pronunciation errors that primary school students make when reading English aloud. This paper illustrates the opportunities and challenges of employing speech recognition software in rural classrooms by using it with specifically designed audio-visual materials based on the Thai curriculum to identify English language reading and pronunciation difficulties. A comparison is made between this study and published literature.
Źródło:
Teaching English with Technology; 2021, 21, 4; 3-18
1642-1027
Pojawia się w:
Teaching English with Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Blended Learning Model for Computer Techniques for Students of Architecture
Autorzy:
Helenowska-Peschke, Maria
Powiązania:
https://bibliotekanauki.pl/articles/448397.pdf
Data publikacji:
2017-07-10
Wydawca:
Wydawnictwo Uniwersytetu Śląskiego
Tematy:
blended learning
multimedia instructions
computer graphics software
Opis:
The article summarises two-year experience of implementing a hybrid formula for teaching computer techniques at the Faculty of Architecture at the Gdańsk University of Technology. Original educational e-materials – consisting of video clips, text and graphic instructions, as well as links to online resources – are embedded in the university e-learning educational platform. The author discusses not only technical constraints associated with the creation of e-materials and their deposition on the Moodle platform, but also associated didactic challenges, such as the evaluation of students’ skills and real time communication.
Źródło:
International Journal of Research in E-learning IJREL; 2017, 3, 1; 62-75
2451-2583
2543-6155
Pojawia się w:
International Journal of Research in E-learning IJREL
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Event-Related Assessment of Hypermedia-Based E-Learning Materials With an HRV-Based Method That Considers Individual Differences in Users
Autorzy:
Hercegfi, K.
Powiązania:
https://bibliotekanauki.pl/articles/90195.pdf
Data publikacji:
2011
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
human-computer interaction (HCI)
software ergonomics
software usability testing and evaluation
empirical methods
heart rate variability (HRV)
e-learning
hypermedia
Opis:
This paper reports results of an assessment of e-learning materials with the INTERFACE software evaluation methodology. On the one hand, this method of analysis allows us to identify ergonomics problems; on the other, to decide to what extent those problems and their severity concern all users in general and to what extent they depend on the usersʼ type and characteristics. This is the first publication to apply the new marking, export, and statistical features of INTERFACE used in a quantitative analysis of heart rate variability (HRV) curves instead of earlier time-based statistics and qualitative methods. It presents correlations between event-related characteristics of human–computer interaction and the currently required mental effort showed with HRV. The paper also discusses correlations between variables and cognitive-style test scores which indicate the role of individual differences in ergonomics.
Źródło:
International Journal of Occupational Safety and Ergonomics; 2011, 17, 2; 119-127
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On Efficiency of Selected Machine Learning Algorithms for Intrusion Detection in Software Defined Networks
Autorzy:
Jankowski, D.
Amanowicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/963945.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
software defined network
intrusion detection
machine learning
Mininet
SDN
Opis:
We propose a concept of using Software Defined Network (SDN) technology and machine learning algorithms for monitoring and detection of malicious activities in the SDN data plane. The statistics and features of network traffic are generated by the native mechanisms of SDN technology.In order to conduct tests and a verification of the concept, it was necessary to obtain a set of network workload test data.We present virtual environment which enables generation of the SDN network traffic.The article examines the efficiency of selected machine learning methods: Self Organizing Maps and Learning Vector Quantization and their enhanced versions.The results are compared with other SDN-based IDS.
Źródło:
International Journal of Electronics and Telecommunications; 2016, 62, 3; 247-252
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Systematic Review of Ensemble Techniques for Software Defect and Change Prediction
Autorzy:
Khanna, Megha
Powiązania:
https://bibliotekanauki.pl/articles/2123249.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
ensemble learning
software change prediction
software defect prediction
software quality
systematic review
Opis:
Background: The use of ensemble techniques have steadily gained popularity in several software quality assurance activities. These aggregated classifiers have proven to be superior than their constituent base models. Though ensemble techniques have been widely used in key areas such as Software Defect Prediction (SDP) and Software Change Prediction (SCP), the current state-of-the-art concerning the use of these techniques needs scrutinization. Aim: The study aims to assess, evaluate and uncover possible research gaps with respect to the use of ensemble techniques in SDP and SCP. Method: This study conducts an extensive literature review of 77 primary studies on the basis of the category, application, rules of formulation, performance, and possible threats of the proposed/utilized ensemble techniques. Results: Ensemble techniques were primarily categorized on the basis of similarity, aggregation, relationship, diversity, and dependency of their base models. They were also found effective in several applications such as their use as a learning algorithm for developing SDP/SCP models and for addressing the class imbalance issue. Conclusion: The results of the review ascertain the need of more studies to propose, assess, validate, and compare various categories of ensemble techniques for diverse applications in SDP/SCP such as transfer learning and online learning.
Źródło:
e-Informatica Software Engineering Journal; 2022, 16, 1; art. no. 220105
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm
Autorzy:
Khuat, T. T.
Le, M. H.
Powiązania:
https://bibliotekanauki.pl/articles/309064.pdf
Data publikacji:
2016
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
COCOMO II
cost estimation
NASA software
optimization
teaching-learning-based optimization algorithm
Opis:
Software cost estimation is a critical activity in the development life cycle for controlling risks and planning project schedules. Accurate estimation of the cost before the start-up of a project is essential for both the developers and the customers. Therefore, many models were proposed to address this issue, in which COCOMO II has been being widely employed in actual software projects. Good estimation models, such as COCOMO II, can avoid insufficient resources being allocated to a project. However, parameters for estimation formula in this model have not been optimized yet, and so the estimated results are not close to the actual results. In this paper, a novel technique to optimize the coefficients for COCOMO II model by using teaching-learning-based optimization (TLBO) algorithm is proposed. The performance of the model after optimizing parameters was tested on NASA software project dataset. The obtained results indicated that the improvement of parameters provided a better estimation capabilities compared to the original COCOMO II model.
Źródło:
Journal of Telecommunications and Information Technology; 2016, 1; 84-89
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-view learning for software defect prediction
Autorzy:
Kiyak, Elife Ozturk
Birant, Derya
Birant, Kokten Ulas
Powiązania:
https://bibliotekanauki.pl/articles/2060905.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
software defect prediction
multi-view learning
machine learning
k-nearest neighbor
Opis:
Background: Traditionally, machine learning algorithms have been simply applied for software defect prediction by considering single-view data, meaning the input data contains a single feature vector. Nevertheless, different software engineering data sources may include multiple and partially independent information, which makes the standard single-view approaches ineffective. Objective: In order to overcome the single-view limitation in the current studies, this article proposes the usage of a multi-view learning method for software defect classification problems. Method: The Multi-View k-Nearest Neighbors (MVKNN) method was used in the software engineering field. In this method, first, base classifiers are constructed to learn from each view, and then classifiers are combined to create a robust multi-view model. Results: In the experimental studies, our algorithm (MVKNN) is compared with the standard k-nearest neighbors (KNN) algorithm on 50 datasets obtained from different software bug repositories. The experimental results demonstrate that the MVKNN method outperformed KNN on most of the datasets in terms of accuracy. The average accuracy values of MVKNN are 86.59%, 88.09%, and 83.10% for the NASA MDP, Softlab, and OSSP datasets, respectively. Conclusion: The results show that using multiple views (MVKNN) can usually improve classification accuracy compared to a single-view strategy (KNN) for software defect prediction.
Źródło:
e-Informatica Software Engineering Journal; 2021, 15, 1; 163--184
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Kierunki zmian w nauczaniu statystyki online – przykład wykorzystania programu R-CRAN
The directions of changes in teaching statistics online – the example of using R-CRAN program
Autorzy:
Kopczewski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/426468.pdf
Data publikacji:
2013
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
statistics teaching
R-CRAN
Big Data
e-learning lessons
statistic software
Opis:
Statistics is one of the greatest tools for drawing assumptions on the economic processes. Together with the development of the information society and because of the emergence of huge data collection – Big Data, the significance of statistics will increase. Simultaneously, those changes need to be followed by the transformation of statistics teaching. The article presents the experiences of delivering e-learning lessons focused on statistics software R-CRAN. The author tries to answer the question ‘what has to be done in order to adjust the teaching statistic software to the changes occurring in the economy?’.
Źródło:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2013, 3 (50); 39-43
1731-6758
1731-7428
Pojawia się w:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence for software development : the present and the challenges for the future
Sztuczna inteligencja w wytwarzaniu oprogramowania : stan aktualny i wyzwania na przyszłość
Autorzy:
Korzeniowski, Łukasz
Goczyła, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/211290.pdf
Data publikacji:
2019
Wydawca:
Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:
software development
artificial intelligence
machine learning
automated code generation
wytwarzanie oprogramowania
sztuczna inteligencja
uczenie maszynowe
automatyczne generowanie kodu
Opis:
Since the time when first CASE (Computer-Aided Software Engineering) methods and tools were developed, little has been done in the area of automated creation of code. CASE tools support a software engineer in creation the system structure, in defining interfaces and relationships between software modules and, after the code has been written, in performing testing tasks on different levels of detail. Writing code is still the task of a skilled human, which makes the whole software development a costly and error-prone process. It seems that recent advances in AI area, particularly in deep learning methods, may considerably improve the matters. The paper presents an extensive survey of recent work and achievements in this area reported in the literature, both from the theoretical branch of research and from engineer-oriented approaches. Then, some challenges for the future work are proposed, classified into Full AI, Assisted AI and Supplementary AI research fields.
Od czasu pojawienia się pierwszych metod i narzędzi CASE niewiele zrobiono w zakresie automatycznego wytwarzania oprogramowania. Narzędzia CASE wspierają deweloperów w tworzeniu struktury systemu, definiowaniu interfejsów i relacji między modułami oprogramowania oraz, po powstaniu kodu, w wykonywaniu zadań testowych na różnych poziomach szczegółowości. Pisanie kodu jest jednak nadal zadaniem wykwalifikowanego specjalisty, co powoduje, że cały proces wytwarzania oprogramowania jest kosztowny i podatny na błędy. Ostatnie postępy w obszarze sztucznej inteligencji, szczególnie w zakresie metod głębokiego uczenia maszynowego, mogą i powinny znacznie poprawić tę sytuację. W artykule przedstawiono przegląd dotychczasowych osiągnięć w tej dziedzinie, znanych z literatury przedmiotu, szczególnie w zakresie czysto teoretycznym, gdyż efekty inżynierskie znajdujące zastosowanie praktyczne są jak dotąd bardzo ograniczone. Następnie zaproponowano i opisano kilka kierunków przyszłych prac w tej dziedzinie, które zaklasyfikowano jako Full AI, Assisted AI i Supplementary AI, w kolejności wynikającej z oczekiwanego stopnia zautomatyzowania procesów wytwarzania oprogramowania.
Źródło:
Biuletyn Wojskowej Akademii Technicznej; 2019, 68, 1; 15-32
1234-5865
Pojawia się w:
Biuletyn Wojskowej Akademii Technicznej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Software Change Prediction: A Systematic Review and Future Guidelines
Autorzy:
Malhotra, Ruchika
Khanna, Megha
Powiązania:
https://bibliotekanauki.pl/articles/384059.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
change-proneness
machine learning
software quality
systematic review
Opis:
Background: The importance of Software Change Prediction (SCP) has been emphasized by several studies. Numerous prediction models in literature claim to effectively predict change-prone classes in software products. These models help software managers in optimizing resource usage and in developing good quality, easily maintainable products. Aim: There is an urgent need to compare and assess these numerous SCP models in order to evaluate their effectiveness. Moreover, one also needs to assess the advancements and pitfalls in the domain of SCP to guide researchers and practitioners. Method: In order to fulfill the above stated aims, we conduct an extensive literature review of 38 primary SCP studies from January 2000 to June 2019. Results: The review analyzes the different set of predictors, experimental settings, data analysis techniques, statistical tests and the threats involved in the studies, which develop SCP models. Conclusion: Besides, the review also provides future guidelines to researchers in the SCP domain, some of which include exploring methods for dealing with imbalanced training data, evaluation of search-based algorithms and ensemble of algorithms for SCP amongst others.
Źródło:
e-Informatica Software Engineering Journal; 2019, 13, 1; 227-259
1897-7979
Pojawia się w:
e-Informatica Software Engineering Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
BRINGING TTS SOFTWARE INTO THE CLASSROOM: THE EFFECT OF USING TEXT TO SPEECH SOFTWARE IN TEACHING READING FEATURES
Autorzy:
Meihami, Hussein
Husseini, Fateme
Powiązania:
https://bibliotekanauki.pl/articles/955750.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej w Lublinie. IATEFL Poland Computer Special Interest Group
Tematy:
Computer-Assisted Language Learning
reading fluency
speech-to-talk software
teaching reading
text-to-speech
Opis:
The aim of this experimental research is to investigate the effect of using Text-To-Speech Software (TTS), one of Computer Assisted Language Learning (CALL) resources in teaching reading, in particular, different aspects of reading fluency. In this study we investigated teaching and learning of word stress, word intonation, pitch contour, and fluency of English reading through TTS. It should be stated that comprehension had been a part of the program but wasn’t investigated in the study. The study indicated that word stress, word intonation, pitch contour, and fluency have significantly improved as a result of using TTS software.
Źródło:
Teaching English with Technology; 2014, 14, 1; 23-34
1642-1027
Pojawia się w:
Teaching English with Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
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