Learning Experiences for training management

Assessment

Customised assessment for each user.

• Welcome Pack. Gradual adaptation to the functions of the model. Objectives and customisation of profiles.
• Learning Styles. Identification of the student’s learning model with advice for its best use.
• Soft-skill Assessment. Assessment of the user’s soft skills and its starting point in each of them.
• Knowledge Assessment. Initial evaluation of knowledge and level in each area.

Liquid Learning

• Individual Learning Plans. Together with the business objectives, a customised plan is drawn up by profile.
• Formative Journeys. Through training itineraries, training is adapted to the learning pace and abilities of students.
• Interactive Learning. Tools and functions to complement training, tutoring, coaching, mentoring, Master Class, external resources, group activities, etc.

Data Driven Learning

Feedback: all the data generated is analysed and the learning model is fed back through advanced algorithms for its optimisation.

• Descriptive Analytics: Deep learning: Cycle Learning Customisation.
• Advanced Analytics: identification of levers to improve and enhance the training process.
• Predictive Analytics: incorporation of external data sources to create predictive models > Deep Learning.
• Customised contents depending on the role and needs of the user according to their training evolution.