Results 1 to 10 of about 151,349 (164)

The Remoteness of Remote Learning

open access: yesJournal of Interdisciplinary Studies in Education, 2020
The measures enforced by governments to contain the highly contagious COVID19 pathogen laid bare the deep inequalities that beset education systems around the world. The lockdowns and subsequent closures of educational institutions have amplified the gap between the rich and the poor, not just between the Global North and the Global South, but within ...
openaire   +2 more sources

Velocity variations and hydrological drainage at Baltoro Glacier, Pakistan [PDF]

open access: yesThe Cryosphere
Glacial meltwater directly influences glacier dynamics. However, in the case of debris-covered glaciers, the drivers of glacier velocity and the influence of supraglacial lakes have not yet been sufficiently analysed and understood.
A. Wendleder   +8 more
doaj   +1 more source

Translingual practice in remote EFL tertiary education: How multilingual speakers create translanguaging spaces

open access: yesIndonesian Journal of Applied Linguistics, 2023
Published studies on translingual practice in the pedagogical realms have burgeoned in the current literature, generating important insights into how communication has become dynamic and fluid.
Akhmad Hairul Umam   +2 more
doaj   +1 more source

The Socio-emotional Context of E-learning in Teachers’ Opinion

open access: yesInternational Journal of Research in E-Learning, 2021
The article presents the research results on the socio-emotional context of distance learning from teachers’s perspective. The primary purpose of this study was to explore teachers’ experiences in primary, secondary, and vocational schools as they ...
Irena Przybylska
doaj   +1 more source

Impact of the Covid-19 Pandemic on the Metacognition and Emotional Intelligence of Natural Science Students

open access: yesРоссийский психологический журнал, 2022
Introduction. This paper presents the results of an empirical study that compares the parameters of the metacognitive components and emotional intelligence (EI) of young people using cross-sectional surveys before and during the COVID-19 pandemic.
Екатерина И. Перикова   +1 more
doaj   +1 more source

Feynman Technique as a Heutagogical Learning Strategy for Independent and Remote Learning

open access: yesRecoletos Multidisciplinary Research Journal, 2021
The Feynman Technique is a mental model and learning strategy used to simplify any complex information. This study endeavors to provide empirical evidence on the effectiveness of the Feynman Technique as a heutagogy-based learning strategy that fits the ...
Englevert P. Reyes   +3 more
doaj   +1 more source

Innovative solutions for language growth: the impact of problem-based learning via DingTalk on Chinese undergraduates’ business vocabulary amid COVID-19

open access: yesFrontiers in Psychology, 2023
Amidst the COVID-19, which has necessitated the widespread use of distant learning, there has been a notable increase in the recognition and utilization of inventive pedagogical methods and technological tools in the field of language teaching.
Lixuan Sun, Hui Dong, Xiaotian Zhang
doaj   +1 more source

Skin-Inspired Tactile Sensor on Cellulose Fiber Substrates with Interfacial Microstructure for Health Monitoring and Guitar Posture Feedback

open access: yesBiosensors, 2023
Skin-inspired flexible tactile sensors, with interfacial microstructure, are developed on cellulose fiber substrates for subtle pressure applications.
Rajat Subhra Karmakar   +5 more
doaj   +1 more source

Learning Mediated by Social Network for Education in K-12: Levels of Interaction, Strategies, and Difficulties

open access: yesEducation Sciences, 2023
This study aims to capture evidence on the effectiveness of emergency remote learning mediated by educational technology according to the interaction levels of K-12 students.
Aluisio José Pereira   +5 more
doaj   +1 more source

Unsupervised feature learning in remote sensing [PDF]

open access: yesApplications of Machine Learning, 2019
The need for labeled data is among the most common and well-known practical obstacles to deploying deep learning algorithms to solve real-world problems. The current generation of learning algorithms requires a large volume of data labeled according to a static and pre-defined schema.
Reite, Aaron   +5 more
openaire   +2 more sources

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