Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Fernando Russo Abegão"'
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 20, Iss 1, Pp 1-22 (2023)
Abstract Immersive learning technologies such as virtual reality (VR), augmented reality (AR) and educational digital games offer many benefits to teaching and learning. With their potential to immerse learners in realistic environments and facilitat
Externí odkaz:
https://doaj.org/article/fa262bd837af49f89309f94a84f2bcd7
Publikováno v:
Tetrahedron Green Chem, Vol 1, Iss , Pp 100007- (2023)
Nanostructured TiO2 catalysts were synthesised via the sol-gel method using solvent-free titanium (IV) n-butoxide and acidified water at pH 1 in a continuous flow spinning disc reactor (SDR). The influence of disc rotational speed, total flow rate of
Externí odkaz:
https://doaj.org/article/c3f4a5895f1c4a999c1f1a93804067ee
VR-based health and safety training in various high-risk engineering industries: a literature review
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 19, Iss 1, Pp 1-22 (2022)
Abstract This article provides a critical review of the current studies in VR-based health and safety training, assessment techniques, training evaluation, and its potential to improve the training evaluation outcomes in various high-risk engineering
Externí odkaz:
https://doaj.org/article/e40ccba99e004c47a77bd42da07368a2
Publikováno v:
Higher Education Pedagogies, Vol 6, Iss 1, Pp 175-194 (2021)
Higher Education Pedagogies
Higher Education Pedagogies
Virtual Reality (VR) games and simulations are increasingly being used to provide highly interactive, engaging and contextual learning experiences for learners in otherwise risk-prone environments, such as those obtained in chemical engineering and i
Publikováno v:
Journal of CO2 Utilization. 70:102428
Catalyst development for biorefining applications involves many challenges. Mathematical modeling can be seen as an essential tool in assisting to explain catalyst performance. This paper presents studies on several machine learning (ML) methods that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71ae3db23bf97eb307f10be7b19aa755
http://urn.fi/urn:nbn:fi-fe2022042630433
http://urn.fi/urn:nbn:fi-fe2022042630433
Publikováno v:
BMC Chemical Engineering, Vol 2, Iss 1, Pp 1-18 (2020)
With the concentration of CO2 in the atmosphere increasing beyond sustainable limits, much research is currently focused on developing solutions to mitigate this problem. Possible strategies involve sequestering the emitted CO2 for long-term storage
Publikováno v:
ECE Official Conference Proceedings.
Publikováno v:
CEP
The wide availability and accessibility of personal digital technologies offers students in schools and universities the opportunity to learn through the creation of their own digital artefacts. Also, the uptake of peer-learning is continuing to grow
Autor:
Jarka Glassey, Fernando Russo Abegão
Publikováno v:
2017 7th World Engineering Education Forum (WEEF).
E-assessment and tailored feedback are explored in this contribution as a means of encouraging deeper learning and increasing the effectiveness of chemical engineering education within the context of increasing larger cohort sizes in a UK Russel grou