Results 51 to 60 of about 1,733,538 (306)

Telling 'Billy's story': creating a massive open online course (MOOC) in child and youth care studies [PDF]

open access: yes, 2016
This poster explores the development of a Massive Open Online Course (MOOC) – Caring for Vulnerable Children – and the way in which it was used to help recruit students to a completely online, distance-learning Masters level programme focused on Child ...
Johnston, Aidan, McPeat, Graham
core  

Enhancing online climate change education: distance and conventional university collaboration for a Master's curriculum [PDF]

open access: yes, 2012
See also a longer version: ‘Expanding Citizen and Practitioner Engagement with the Climate Change Challenge Through Collaborative Masters Curriculum, Open Educational Resources, E-learning Communities and Virtual Mobility’, presented at a conference of ...
Abbott, Dina
core   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Language tutors at the OUUK – their (e)-competencies in Open and Distance Learning [PDF]

open access: yes, 2006
The OUUK has been teaching distance courses in languages for more than ten years. Students learn by means of specially-designed course materials, increasingly web-based resources and through direct interaction with tutors, who provide personalised ...
Baumann, Uwe   +3 more
core  

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

The Moderating Influence of Project Scope on Leadership Skills, Stakeholder Management, and Execution of Fibre Optic Infrastructure

open access: yesAdvances in Civil Engineering, 2020
Telecommunication and Internet service enterprise has drastically evolved in the last 10 years across the globe. With demand for huge amounts of data and increased voice traffic, optical fibre is globally preferred technology to transmit high-speed ...
James Konya Akhwaba
doaj   +1 more source

A comparison of three Open Universities and their acceptance of Internet Technologies [PDF]

open access: yes, 2009
We compare three open universities the Open Universities in the UK (OUUK), the Netherlands (OUNL) and Japan (OUJ). Originating in the modern idea of an Open University each university has developed its own pedagogical model.
Aoki, Kumiko   +3 more
core  

The development of open/distance learning in Finland and the UK: A Comparative case study [PDF]

open access: yes, 2005
This article is concerned with the provision of open and distance learning by the higher education sectors in two countries, the UK and Finland. The central contention is that more strategic thought must be given to this issue if the potential benefits ...
Hitchen, Julie, Monk, Des
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

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