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Learning image processing with smartphone apps (BILESA)

Sector: Education • Location: Germany

Source: Keep.EU

Project
Closed

The objective of the projects is to overcome fractures within the study of mathematics with the help of a smartphone app. Image processing and mathematical bases are key technologies for automation and digitalisation. The Lake Constance region, with its many innovative companies has to face worldwide competition – and the best minds too. The fast pace of change requires a high level of adaptabilit

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The project “Learning image processing with smartphone apps (BILESA)” is an infrastructure initiative in the Education sector, located in Germany. Taiyo aggregates data on it from Keep.EU.

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Description

Description

The objective of the projects is to overcome fractures within the study of mathematics with the help of a smartphone app. Image processing and mathematical bases are key technologies for automation and digitalisation. The Lake Constance region, with its many innovative companies has to face worldwide competition – and the best minds too. The fast pace of change requires a high level of adaptability, with the corresponding requirement for lifelong learning. Seamless learning starts with fragmented learning experiences: What is learned in school is not used in later studying; studies or further training do not provide the elements relevant to practice. The aim of seamless learning is to overcome fractures – between individual learning stages, between the school and occupational areas, and from analogue to digital. New technologies are also deployed. Lifelong seamless learning represents a challenge for all subject areas, particularly the MINT subjects. Unfortunately, difficulties in mathematics are often partly responsible for fractures or lack of success in studies. Why is this? At the secondary level, this has often been due to cutbacks in the teaching of mathematics. It also differs greatly to the modules at university. And the prior knowledge of students can be very diverse due to various learning biographies. The transition from very theoretical bases in the first year of study to the application-orientated engineering subjects in the later years of study can also be problematic. The project seeks to confront these fractures with a seamless learning concept – this aims to illustrate how they can be overcome. Central to this is a smartphone app for digital image processing, which can be tested at vocational secondary schools and universities of applied science. It can be used to carry out simple operations on images – for example, on faces. Image processing and its mathematical bases are a key technology for automation and digitalisation. Using the app, they can be innovatively and clearly conveyed in combination with tutorials. This increases the quality of the teaching.

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Medium

Data quality score

100%

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