TO LEARNING TOOLS

Our approach to AI

From our long path of innovation, founded on the collaboration with leading universities and research institutions and with the integration of our skills with artificial intelligence models, the products that integrate generative AI models and other NLP models to support training processes.

And other products are being studied, developed and/or tested by our internal team of research and development.

AI models are useful for us to build new teaching tools which are based on customization of the user's learning processes ((adaptive learning)) and to support the student in all training and evaluation moments.

At the core of all our AI tools is an AI management platform that ensures:

  • interoperability with all content of our Course Catalog,
  • interoperability with any content and institutional inserted in customer-reserved environments,
  • the possibility of LLM model choice (via Api or local) most suitable for the project's specific cases,
  • the presence of specialized agents to support the different learning phases,
  • il AI interaction tracking e qualitative and semantic metrics.
Pico – Intelligent Tutoring System

Specialized AI system for learning support within WBT courses.
PiCO is technically an Intelligent Tutoring System trained for advanced and adaptive teaching support, as it acts as a teaching assistant by varying teaching strategies along the way based on the content being delivered, the related objectives and individual needs.

There are various support strategies:

  • At the start: supports the motivation and objectives of the course
  • While studying: work on the process of understanding and memorization
  • Upon completion of a topic: Supports the participant in self-assessment
  • At the end of a learning block: consolidate understanding through practice tests.

By moving beyond the logic of responding to course content, PiCO promotes adaptive learning, as:

  • integrates knowledge of the participant's needs into its actions,
  • enhances the study path undertaken,
  • adapts its action to the individual.

PiCO therefore acts to reinforce the learning of the individual student in a personalized way.

Evaluative multi-agent conversational simulator

Multi-agent gym for practical test simulation. The gym offers an operational scenario to perform specific tasks (e.g. objection management, sales, project management, meeting management, etc.).

The simulation can be played multiple times to experiment with alternative scenarios (e.g. different types of sales). It can be played in assisted or evaluation mode.

At the end of the simulation, a specific report on the progress of the test is proposed, useful for the participant to understand their areas of strength and improvement.

SmartRAG – Retrievable Agent

Agent in LMS specialized in providing access to all course knowledge.
Through a prompt-driven search approach, the participant can consult the educational resources associated with the courses in which he is enrolled.

Through the RAG (Retrivial Augmented Generation) model developed in Piazza Copernico the student can:

  • Locate information within courses
  • Ask explanatory questions based on the information provided by the courses
  • Use the information to prepare microlearning objects (summaries, questionnaires, tests, etc.) to consolidate knowledge
  • Choosing new courses to take

All the contents of our course catalog can be explored through SmartRAG.

SmartRAG can also be used to manage course design processes, as it provides the ability to upload company documentation to be processed for instructional design purposes.

Nick – LMS Helper

Nick is the platform assistant who supports participants in managing typical helpdesk issues.

Trained with typical first level assistance cases, Nick offers immediate support to the participant in understanding the problem encountered, classifying the problem via AI and offering an instant personalized response with solutions and operational instructions.

The agent can also be trained with case studies typical of the customer's platform or with other support cases (e.g. registration rules, certification methods, etc.) specific to the context of use.

Learnalyzer

Learning Analytics system developed by Piazza Copernico and integrated into the Labe-l Academy LMS platform.
It can also be integrated via API with other LMS.

Learnalyzer allows you to periodically process the platform data to statistically study student trends and detect potential critical issues in the data through predictive analysis.

The adoption of learning analytics allows to support the work of tutors with a rigorous and unified analysis system, being able to evaluate situations in a comparative way and intervene more quickly on risk areas.

Using Learnalyzer:

  • Provides continuous and objective monitoring of tracking data
  • It allows for timely intervention by tutors in potentially critical situations, intervening early on possible areas of ineffectiveness
  • It allows to evaluate the contents and the training offer in light of the behaviors acted out by the participants (e.g. identification of complex contents, actual uses, critical issues in the scores), offering clear indications to be able to adequately redesign the training paths based on the critical issues emerging from the use.
Semantic Case Reporting

Semantic analysis software that allows you to analyze document data and tabular information to identify strategic insights.

Through NLP models integrated with Generative AI, Semanticase Reporting helps to read textual data, reducing the effort and complexity of analysis.
It provides topic analysis, time trends, sentiment analysis, but also language metrics.

It allows each operator to start the analysis through a user-friendly system, inserting the intervention of the subject matter expert, not in the onerous phase of classification and organization of the data, but directly in the most important phase of interpretation of the results.

It can be used for data analysis in the HR world, in particular climate surveys, performance management, talent acquisition and HR reporting.