In this unit we explore the main features of the laser devices. We analyze the characteristics of the matter and the atoms which make feasible to get the laser light.

We see how the three level atom configuration is the better one in order to create the population inversion. The population inversion act as a reservoir of electrons. When stimulated by the right frequency all the electrons emit as a whole with the same frequency and phase.

This kind of emission allows to focus the electromagnetic wave in a small area and for short impulse with the desidered amount of power. The following heating of the hit matter might be used to melt and weld materials or as in biomedical application to destroy ill tissues or to cauterize.

The students via the use of the AR can explore all these features in order to have a clear idea of the physical processes involved in the laser effect and in the construction of the laser devices.

Moreover in the Enhance phase they can uses the acquired knowledge in order to simulate a session of photodynamic cure of cancer.

Phase Description
Explore

- Research and Discovery: Quantum mechanics and atom configuration

- Content Development: Atomic levels

- Needs Analysis: Electromagnetism, waves, semiconductor, diode, anatomy.

Execute


- Curriculum Implementation: Knowledge check

- Interactive Exercises: Tuning a laser devices

- Feedback Collection: 

Enhance

- AR Integration: Building a laser device

- Interactive Learning: Tuning up a laser device to operate

Gamified Content:
- Points and Badges:  dynamic scoring system where they earn “points” or none at all by answering the questions
- Quests and Levels: The questions difficulty level allows to manipulate the concepts.
- Rewards for Exploration: The earning points system encourage them to apply their knowledge to gain more point in each phase and, at the end, they can do a ranking list with the points earned.
- Collaborative Gamified Tasks: They can work together in order to achieve the best results

AR-Based Assessments: Replace traditional tests with AR-based evaluations.