Publication

Applying Learning Analytics to a Primary School Classroom: Benefits and Barriers

2015
Talks

Abstract

There are numerous proposals and solutions that aim to apply Learning Analytics (LA) in authentic scenarios. Many of them have been applied successfully in learning contexts where adults are involved. However, when we try to transfer such proposals to underage students, the application may not be straightforward. This paper reports on a case where a LA approach, which had been already applied to a university context with success, was applied to a primary school classroom. The case shows how the main barriers that had to be faced in the new educational context were legal and ethical issues related to identity and data ownership. The case also serves to illustrate the potential benefit that an apparently simple LA approach can bring to these educational contexts.

Official source

https://infoscience.epfl.ch/entities/publication/ffc4bf3c-5c8a-4fba-b815-bd070fd2199a

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2015
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/ffc4bf3c-5c8a-4fba-b815-bd070fd2199a

About this result

Related concepts (25)

Experiential learning

Experiential learning (ExL) is the process of learning through experience, and is more narrowly defined as "learning through reflection on doing". Hands-on learning can be a form of experiential learning, but does not necessarily involve students reflecting on their product. Experiential learning is distinct from rote or didactic learning, in which the learner plays a comparatively passive role. It is related to, but not synonymous with, other forms of active learning such as action learning, adventure learning, free-choice learning, cooperative learning, service-learning, and situated learning.

Barriers to entry

In theories of competition in economics, a barrier to entry, or an economic barrier to entry, is a fixed cost that must be incurred by a new entrant, regardless of production or sales activities, into a market that incumbents do not have or have not had to incur. Because barriers to entry protect incumbent firms and restrict competition in a market, they can contribute to distortionary prices and are therefore most important when discussing antitrust policy.

Predictive analytics

Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. It represents a major subset of machine learning applications; in some contexts, it is synonymous with machine learning.