Learning image processing with smartphone apps (BILESA)
Sector: Education • Location: Germany
Source: Keep.EU
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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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | Medium |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
