Since the abacus (2500 BCE) to handheld calculators (1970), calculation tools improvement allowed students to perform more advanced calculus and exercises changing the focus from the calculation process to the results, reducing the effort required to get the solution. Later, programmable pocket calculator (1974) allowed to automate manual calculation process, allowing to get convergence results easier and quicker. Again, this advance bring improved abilities and less effort to get results. IBM’s introduction of the Personal Computer (1981) and the laptop market grow (1990) allowed the programmable pocket calculator to evolve into a laptop-based software where all the information and calculations were tied together giving another overview to results. Current technology enables a new evolution where new solutions come out with a new dimension with an AI companion; this new tool allows more complex multi focus problems to be solved quicker. A completely new learning approach is presented, with application examples of AI model selection for proposed new learning experience assessment solutions. Correct tool selection for students is suggested in order to get their own AI companion helping to implement and easily present all the required information, evaluating the best possible solution path, comparing results between multiple scenarios with different constraints in order to get focused output searching for value added tasks. These actions include evaluation activities analysed from different discipline point of view, focusing in the whole design review, response time to given prompt input, and power consumption as key performance indicators within the same base platform. Based in those experiences, student engagement with a professional approach to current state of the art technology activities is pursued with real industry applicable skills tasks and evaluations.

Keywords: Artificial Intelligence, Machine Learning, Mathematics, Engagement, Physics, STEAM, Technology.