Deadline for application: 27 May 2018
English
A9711169
available from 01 January 2018
Distance
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Course Information

30 April 2018 - 27 May 2018

English

Distance

Code: A9711169

Deadline: 27 May 2018

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Learning Analytics is the collection and analysis of data about learners and their contexts, in order to understand and optimize learning experiences and the environments in which they occur. The main objective for Learning Analytics is to unveil so far hidden information in educational data to gain new insights and prepare them for different educational stakeholders (learners, trainers and managers). This new kind of information can support individual learning, enhance facilitation and teaching quality, as well as improve organizational knowledge management processes and system administration. Compilation of Learning Analytics involves various pre-processing steps from basic information models to structure data such as data harvesting, storing, cleaning, anonymization, analysis, mining and visualization. This course aims to contextualize Learning Analytics and its most important dimensions. It will demonstrate why Learning Analytics have the power to be a real game changer for educational research by enhancing e-learning experiences and creating more effective e-learning environments by helping to predict learners' performance, providing learners with a personalized learning experience. Increased retention rates and boosting cost efficiency. It also will touch on the ethical and privacy side of Learning Analytics that needs to be discussed within potential target organizations to guarantee adoption and uptake of Learning Analytics from stakeholders.

Description

Description

Learning Analytics is the collection and analysis of data about learners and their contexts, in order to understand and optimize learning experiences and the environments in which they occur. The main objective for Learning Analytics is to unveil so far hidden information in educational data to gain new insights and prepare them for different educational stakeholders (learners, trainers and managers). This new kind of information can support individual learning, enhance facilitation and teaching quality, as well as improve organizational knowledge management processes and system administration. Compilation of Learning Analytics involves various pre-processing steps from basic information models to structure data such as data harvesting, storing, cleaning, anonymization, analysis, mining and visualization. This course aims to contextualize Learning Analytics and its most important dimensions. It will demonstrate why Learning Analytics have the power to be a real game changer for educational research by enhancing e-learning experiences and creating more effective e-learning environments by helping to predict learners' performance, providing learners with a personalized learning experience. Increased retention rates and boosting cost efficiency. It also will touch on the ethical and privacy side of Learning Analytics that needs to be discussed within potential target organizations to guarantee adoption and uptake of Learning Analytics from stakeholders.

Target audience

Target audience

The course is for trainers, information technology (IT) specialists and managers of public and private training institutions involved in the design and implementation of training activities, in particular: - decision makers and policymakers in education and training institutions; - training activity and training institutions managers; - training-of-trainer specialists; - training specialists in workers' organizations or employers' organizations; - vocational training professionals; - instructional designers, trainers and tutors.

Contact us

delta@itcilo.org

Tuition cost: 940

Total cost: 940

 

International Training Centre of the ILO

Viale Maestri del Lavoro, 10
10127 Turin - Italy

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