Education
Artificial Intelligence is going to disruptively revolutionize education systems. The change has already begun. Just like Netflix or Spotify, they analyze our preferences, our tastes, to recommend content and playlists. Couldn’t there be a learning system that would help us in the selection of what and how we want to study? What about a learning system based on other people’s experience?
Articles of interest
How does virtual reality benefit training?
Artificial Intelligence and Virtual Reality have emerged as two resources that, together, make up for a great lack of the training of employees within a company that needs a transfer of knowledge between generations and sectors.
What is X-API and how does it enhance artificial intelligence?
X-Api, or Tin Can API, is an eLearning specification that makes it easy to collect data on someone’s experiences in a given role or activity. It is a great tool that allows learning to be shared between multiple systems and in a specific format.
Real success stories
The challenge was to help our client transfer all the corpus of academic knowledge associated with Machine Learning techniques in the field of training to a commercial environment, in a specific sector: industrial. It would therefore involve analyzing different frameworks, APIs, standards… carrying out proof of concept based on meetings with potential clients…
Budget
Technological scope
- Machine Learning
- Augmented Reality for Industry 4.0
- Microservices Approach
- OPC UA
The challenge was not only to make an intelligent system, but a cost-effective system that took into account the reality of the Learning & Development departments and their relationships and synergies within other business units: “Very nice, but this is how I integrate it”; “Training is watertight, it is not related to HR“; “We use Moodle with SCORM”
Following an agile methodology and through the services of Team Augmentation and PMO, from our Innovation Delivery unit we have worked side by side with our client to offer a solution that can define user profiles based on student data (content consumed, usage times, preferences…). This allows, based on different Machine Learning techniques, to offer highly personalized training content, increasing engaging and reducing the dropout rate. The system also takes into account parameters that can be modified by the training manager.
Objective
Our goal is to make ideas come true. Therefore, we do not only contribute our knowledge for the design and development of PoC. We have an indispensable commitment to transfer innovation efforts to the commercial environment and we always try to ensure that our projects grow in first clients. At INGUBU we are very proud to have contributed iteratively to the design and validation of an intelligent personalized learning environment based on Machine Learning and Virtual Reality techniques.