Results 21 to 30 of about 1,240,661 (355)
‘A double-edged sword. This is powerful but it could be used destructively’: Perspectives of early career education researchers on learning analytics [PDF]
, 2018 Learning analytics has been increasingly outlined as a powerful tool for measuring, analysing, and predicting learning experiences and behaviours. The rising use of learning analytics means that many educational researchers now require new ranges of ...
Brummer, Leonie +6 more
core +1 more source
Big Earth Data, 2018 The energy-water nexus, or the dependence of energy on water and water on energy, continues to receive attention as impacts on both energy and water supply and demand from growing populations and climate-related stresses are evaluated for future ...
Melissa R. Allen +9 more
doaj +1 more source
The LAVA Model: Learning Analytics Meets Visual Analytics [PDF]
arXiv, 2023 Human-Centered learning analytics (HCLA) is an approach that emphasizes the human factors in learning analytics and truly meets user needs. User involvement in all stages of the design, analysis, and evaluation of learning analytics is the key to increase value and drive forward the acceptance and adoption of learning analytics.
arxiv
Analytical jobs for analytical minds [PDF]
Nature Reviews Drug Discovery, 2003 Finding out the requirements and needs of the industry in the current market will place the budding analytical chemist ahead of the pack.
openaire +3 more sources
On real analytic orbifolds and Riemannian metrics [PDF]
Algebr. Geom. Topol. 13 (2013) 2369-2381, 2012 We begin by showing that every real analytic orbifold has a real analytic Riemannian metric. It follows that every reduced real analytic orbifold can be expressed as a quotient of a real analytic manifold by a real analytic almost free action of a compact Lie group. We then extend a well-known result of Nomizu and Ozeki concerning Riemannian metrics on
arxiv +1 more source
Risk-based audits in a behavioural model. [PDF]
, 2015 The tools of predictive analytics are widely used in the analysis of large data sets to predict future patterns in the system. In particular, predictive analytics is used to estimate risk of engaging in certain behavior.
Hashimzade, N., Myles, G.
core +3 more sources
RAM. Revista de Administração Mackenzie, 2020 Purpose: Propose a research model that involves the conceptual relationships between the theoretical support of the absorptive capacity and analytics, emphasizing the way in which the tool contributes to the formation of absorptive capacity within the ...
Rodrigo Ferreira +2 more
doaj +1 more source
Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems [PDF]
, 2019 Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data.
Gharehpetian, Gevork B. +4 more
core +2 more sources
DATA DRIVEN SMART CITIES: INTEGRATING THE POWER OF 5G COMPUTING [PDF]
Proceedings on Engineering SciencesThe fifth generation of mobile networks is going to transform the way we live, work, and communicate. The shift from 4G to 5G would be a crucial enabler for the growth of smart cities due to its superior speed and minimal latency.
Samarth Sharma +2 more
doaj +1 more source