Immersive data science education
Erasmus+ Programme

KA210-ADU – Small-scale partnerships in adult education
Project Life Period:
01/12/2021 – 31/08/2022

Project Description:

Data Science is a relatively new field in tech where complex business problems are solved through data analysis. Data scientists are often experts who understand both the IT and business worlds. With more and more companies around the world, recognizing the importance of interpreting big data to get insights that will boost their revenue, many employers are willing to dig deeper into their pockets to hire data scientists.
Due to the rapid technological innovations in IT, the skills of IT graduates do not match market needs. There is also an alarming shortage of data experts both globally and in the EU, with this lack of core intermediary expertise having created a chasm between e-infrastructure providers and scientific domain specialists . Data specialists accounted for far less than 1% of total employment in most Member States.
With the introduction of Abacus, Data Science will not be for the well-trained data scientists only, as people will better communicate with experts and will better understand data thanks to Abacus. Smart companies, organizations and local
communities will ensure that many of their members will be able to speak the language of data and use it to improve their quality of lives. By empowering citizens and employees with these fundamental skills, industries and the society in general will realize tremendous levels of innovation and efficiency.

Bubble Sort Visualisation

The following is an example of an interactive bubble sort visualisation that could be used to assist the delivery of Computer Science lessons. During the preparation of our project, AUCY’s students have indicated strong preference for illustrated examples rather than book-based delivery methods. The following example shows how the algorithm goes through a list of numbers in order to put them into ascending order.
The students can modify the delay of the algorithm steps and replay the algorithm as many times as they want in their own time and space. Using these visualisations made it easier for them to compare the complexity and efficiency of different sorting and searching algorithms.

The Abacus Narrative Serious Game

Follow the discussion between Sherlock and his friend as they discuss about important data science topics! Try your best to answer the pop-up challenges as the conversation unfolds.

Evaluation survey: https://survey.alchemer.eu/s3/90484749/Evaluation-survey

The consortium of Abacus: