Results 71 to 80 of about 25,252,195 (284)

OVERVIEW OF MASSIVE OPEN ONLINE COURSES [PDF]

, 2019
Massive Open Online Courses are one of the most popular trends in education in the last decade. The term Massive Open Online Courses, or abbreviated MOOC, is set of open access and free teaching content, videos, presentations, simulations, video ...
Petrovski, Josif
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

MASSIVE OPEN ONLINE COURSES FOR PEDAGOGICAL STAFF TRAINING

Образование и наука, 2017
Introduction. At the present time much attention of the society is fixed more and more to the problem of qualification improvement of pedagogical staff on account of total informatization of society, cardinal technological changes, becoming stronger ...
O. M. Gyshchina, O. P. Mikheeva
doaj   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Massive open online courses: idea and reality [PDF]

, 2015
Рассматриваются первые результаты исследований, посвященных массовым открытым онлайновым курсам.The first results of studies on the Massive Open Online Courses are ...
Богданова, Д. А., Bogdanova, D. A.   +1 more
core  

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Dropout Rates in MOOC Research: A Bibliometric Analysis

Journal of Learning for Development
The rise of Massive Open Online Courses (MOOCs) has democratised education, yet student dropout remains a persistent challenge. This research tackles this issue by analysing 1,273 publications on MOOC dropout rates (2020-2023) from the Scopus database ...
Zouleikha Betaitia, Aida Chefrour, Samia Drissi   +2 more
doaj   +1 more source

The pedagogical foundations of massive open online courses

First Monday, 2013
In 2011, the respective roles of higher education institutions and students worldwide were brought into question by the rise of the massive open online course (MOOC). MOOCs are defined by signature characteristics that include: lectures formatted as short videos combined with formative quizzes; automated assessment and/or peer and self–assessment and ...
David George Glance, Martin Forsey, Myles Riley   +2 more
openaire   +2 more sources

Massive open online courses in higher education [PDF]

, 2014
The author discussed the prospects for massive open online courses (MOOC) using in higher education. In the article she describes the online courses applying experience in the U.S.A. and Europe.
Тютева, Полина Васильевна
core  

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

Advanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source