Examples of using Learning analytics in English and their translations into German
{-}
-
Colloquial
-
Official
-
Ecclesiastic
-
Medicine
-
Financial
-
Ecclesiastic
-
Political
-
Computer
-
Programming
-
Official/political
-
Political
Learning Analytics currently are one of the major topics in elearning research.
The layers idea allows fordealing with the inherent complexity of data analysis and learning analytics.
Learning analytics and reporting for maximum transparency across all training processes.
From the perspective of computer science, this research area can bedivided into"Educational Data Mining" and"Learning Analytics.
Developing Machine Learning analytics yields immediate and long-term benefits.
Ralf Klamma and his team develop methods for the determination of relevant personal characteristics,for competence assessments and context information for multimodal learning analytics.
Learning Analytics gives learners a tangible tool for self-reflection and learning progress.
The focus of this PhDresearch work is to develop a framework for learning analytics in open and distributed learning environments.
Learning analytics: The evaluation of educational and learning components and learning arrangements.
Enable orchestrated use of the learning applications(games, e-books, Reader app) based on learning analytics, and a personalised experience through adaptive support.
Learning analytics: potential and risks"It's better to have poor predictions but greater protection of privacy.
In Australia, for example, as the Higher Education Policy Institute reports,the University of New England saw student attrition rates fall from 18 per cent to 12 per cent during a learning analytics pilot project.
Learning Analytics deals with the analysis of data generated during learning processes to support these processes.
Modern Learning Management Systems have built-in evaluation mechanisms,so-called learning analytics, to indicate the learning habits of employees based on the evaluation of complex amounts of data.
Learning Analytics: How you can use the potential of big learning data to optimise your training measures in a system-supported way.
Hendrik Drachsler previously held a professorship for"Technology-Enhanced Learning" at Zuyd University of Applied Sciences in the Netherlands,and he was Associate Professor for"Learning Analytics" at the Open University of the Netherlands.
We elicit requirements for sensor based learning analytics technologies from didactical, content-related, methodological, technical end ethical perspectives.
Our multisensory learning software combines the latest findings from developmental psychology and neuroscience with tried-and-tested computer science principles for the modelling andanalysis of learning"student modelling" and"learning analytics.
Learning analytics promises to initiate action research processes because it facilitates awareness, reflection and regulation of teaching activities analogous to action research.
The main trend of the exhibition was deep learning analytics, giving AxxonSoft the perfect opportunity to present AI-based human and car recognition technology.
While learning analytics and the use of big data in education is still in its infancy in many areas, there is evidence of its success in a variety of institutions.
AI-assisted developments already in existence- such as the critically viewed field of learning analytics at Anglo-Saxon universities- show the potential that AI has for organising and accompanyinglearning processes. Individual"learning assistants" could- if developed from a didactic and ethical point of view- enable learners to recognise their learning requirements, identify suitable offers in a heterogeneous educational environment, and find support in their learning process.
Using tools and methods from the areas of Learning Analytics, Data Mining, and interview techniques of Technology and Innovation Management, until then the project should develop the means necessary to separate useful investments and quality improving measures from measures that are mainly costly but do not improve the quality of the teaching significantly.
Prescriptive analytics Predictive analytics Use predictive modeling, machine learning and analytics to make predictions based on your data.
Chatbots, machine learning and analytics resources.
Intel provides a variety of resources and technologies to create the robust,end-to-end architecture needed for machine learning and analytics.
IntroSpect UEBA uses machine learning and analytics to spot changes in user behavior that often indicate inside attacks have evaded perimeter defenses.