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Ni Kadek Suryani,Ida Ayu Putu Widani Sugianingrat
Pág. 141 - 151
Abstract: The Covid-19 has led to comprehensive changes in the education sector. Physical distancing requirements have seen education programs in Denpasar city, Bali province, Indonesia move online. During the Covid-19 pandemic from February-May) 2020, t...
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Myriam Bontonou, Louis Béthune and Vincent Gripon
In the context of few-shot learning, one cannot measure the generalization ability of a trained classifier using validation sets, due to the small number of labeled samples. In this paper, we are interested in finding alternatives to answer the question:...
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Korlan Zhampeissova,Irina Kosareva,Uliana Borisova
Pág. pp. 4 - 18
The advantages of mobile learning and the possibility of universal access to educational materials have a downside in the form of a possible lack of communication between the student, his/her teachers, and course mates. In this context, collaborative tea...
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Konstantinos Karoudis and George D. Magoulas
The past twelve years have seen ubiquitous learning (u-learning) emerging as a new learning paradigm based on ubiquitous technology. By integrating a high level of mobility into the learning environment, u-learning enables learning not only through forma...
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Noriko Uosaki,Hiroaki Ogata,Mengmeng Li,Bin Hou,Kousuke Mouri
Pág. pp. 44 - 53
This paper describes implementation guidelines for ubiquitous seamless mobile learning featuring the learning-log system named SCROLL (System for Capturing and Reminding of Learning Log). This system helps users to share and remind ubiquitous learning ex...
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Jane Yau,Mike Joy
Pág. pp. 52 - 57
Self-regulated students are able to create and maximize opportunities they have for studying or learning. We combine this learning approach with our Mobile Context-aware and Adaptive Learning Schedule (mCALS) tool which will create and enhance opportunit...
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Menglin Li, Xueqiang Gu, Chengyi Zeng and Yuan Feng
Reinforcement learning, as a branch of machine learning, has been gradually applied in the control field. However, in the practical application of the algorithm, the hyperparametric approach to network settings for deep reinforcement learning still follo...
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Samuel-Soma M. Ajibade, Festus Victor Bekun, Festus Fatai Adedoyin, Bright Akwasi Gyamfi and Anthonia Oluwatosin Adediran
This study examines the research climate on machine learning applications in renewable energy (MLARE). Therefore, the publication trends (PT) and bibliometric analysis (BA) on MLARE research published and indexed in the Elsevier Scopus database between 2...
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Yingying Liang, Peng Zhao and Yimeng Wang
Deep learning has undergone significant progress for machinery fault diagnosis in the Industrial Internet of Things; however, it requires a substantial amount of labeled data. The lack of sufficient fault samples in practical applications remains a chall...
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Albina Hashimova,Valeriy Prasolov,Vyacheslav Burlakov,Larisa Semenova
Pág. pp. 51 - 63
The aim of the article is to study the modern mobile learning system, to understand its advantages and disadvantages, and to determine the relationship between the concepts of digital learning. The goal of the study is to conduct an experiment on the imp...
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Uwes Anis Chaeruman,Basuki Wibawa,Zulfiati Syahrial
Pág. pp. 164 - 181
Blended learning is not just merely blending face-to-face and online learning. The biggest challenge is making the right mix of relevant learning settings and teaching strategies to meet the learning outcomes. The latest study showed that research focusi...
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Olga De Troyer, Jan Maushagen, Renny Lindberg and David Breckx
Most people are using their smartphones daily and carry them all the time. Therefore, mobile learning applications can be integrated in daily routines to make learning a part of daily life. While numerous mobile learning applications exist, each with the...
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Mohammed Amin Almaiah,Masita Abdul Jalil
Pág. pp. 31 - 36
M-learning is a form of learning, which has similarities and differences with the electronic learning (e-learning). It is mainly based on the use of the mobile wireless technologies that allow for learners to easily access learning materials anytime he d...
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Hagit Meishar Tal,Michal Gross
Pág. pp. 10 - 15
This paper presents findings from an evaluation study of a project aimed at using smartphones for experiential learning in the botanical garden by pre-service teachers. The evaluation of the project focused on four main aspects: the teaching students' an...
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Hasnain Zafar Baloch,Azizah Abdul Rahman,Noorminshah A Ihad
Pág. pp. 34 - 41
Smart Mobile Devices (SMD) are there for many years but using them as learning tools started to emerge as new research area. The trend to merge collaborative learning methodology by using mobile devices in informal context is important for implementation...
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Ilaria Canova Calori,Monica Divitini
Pág. pp. 33 - 39
In this paper we investigate collaborative learning that takes place in a city with the support of mobile and wireless technology. Based on a literature review, we identify and discuss four main roles that technology can play in supporting (1) performanc...
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Kinga Stecula and Radoslaw Wolniak
The paper presents the results of the research on the influence of the COVID-19 pandemic on the dissemination of innovative e-learning tools in higher education. Research was carried out in Poland in December 2021 on a sample of 621 students. The main is...
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Solomon Sunday Oyelere,Jarkko Suhonen,Erkki Sutinen
Pág. pp. 35 - 44
Abstract?Mobile learning (m-learning) is the study and practice of using mobile devices, such as smart phones, mobile phones, tablets, PDAs, MP3s and pocket PCs in order to support learning for anyone, anytime and anywhere. M-learning has become paramou...
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Oksana Khilukha
Pág. 44 - 52
The subject of the study is theoretical and methodological foundations of the introduction of e-learning. The purpose of the work is to study the peculiarities of implementing e-learning in the context of corporate development. The following tasks are so...
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Reenu Mohandas, Mark Southern, Eoin O?Connell and Martin Hayes
Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedure...
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