| Learning Scenario Description | |
| Title | “Α Journey to an ΑΙ City and the challenge of return” |
| Creator | Dimitra Dimitrakopoulou |
| Main Idea / Description | This learning scenario provides an exciting opportunity for students to explore the world of artificial intelligence. In the initial activity, students are expected to create a code within the “Pictoblox” software. The primary objective of this task is to acquaint students with facial and emotional recognition and allow them to utilize a translator. For the second activity, students will utilize a specific Google application to delve into the concept of machine learning and gain a deeper understanding of it. |
| Target Group | Students aged 10-16 years old |
| Curriculum & Learning Subjects | Computer Science |
| Competencies | – Problem-solving – Logical thinking – Algorithmic thinking – Critical thinking Students learn the basics of programming and what is facial and emotional recognition and machine learning.Students can collaborate, share ideas and divide tasks. |
| Teachers’ Wellness Competencies | E-self-management: Teachers should be proficient in using the tools and use the technology mindfully ensuring that it enhances the learning experience. Εmotional leadership/e-mediacy:Teachers should be – well-prepared to address any technical issues that may arise and handle problematic situations in the digital classroom. – recognize that students may have varying levels of digital literacy.support students who may experience technostress Social e-competency: Teachers should help students improve their digital competencies |
| Learning Scenario Framework | |
| Pedagogical Method | Problem-based learning, collaborative learning PI1. Emphasizing strengths (Lean on your strengths and have a positive mindset): Students should be encouraged to identify their strengths and positive attributes when they try to accomplish their tasks. This can foster a sense of self-efficacy and a positive mindset. PI4. Relationships support (Support and work well with others): Teachers should encourage collaborative work, as students are divided into pairs or small groups and must work together to solve the challenges. PI6. Encouraging engagement (Engage students in self-directed and dedicated learning): Students explore the tools and learn independently at their own pace. PI7. Goal-oriented learning (Be persistent and work towards your goals):Teachers should define the goals of the scenario and the steps required to achieve them. Students should be encouraged to persistently work towards these goals, such as gaining access to the AI city by creating a digital identity and training their spaceship. |
| Software & Materials | Computers or tablets with internet access.Pictoblox software Access to the Teachable Machine website (https://teachablemachine.withgoogle.com/train/image). |
| Evaluation Tools | – Teachers can evaluate the codes created by students with the Pictoblox software. – Students can be assessed in the second activity by the effectiveness of training the model and the accuracy of image recognition. – Peer Evaluation: Teachers can encourage peer evaluation and self-assessment. Students could provide feedback on each other’s digital codes, and spaceship training. This can promote collaboration and reflective learning. – Reflection and Discussion: Teachers assess students’ ability to reflect on their experiences and learning outcomes. This can be done by group discussions at the end of the course. |
| Learning Scenario Implementation | |
| Learning Activities | During the initial exercise, students should create a code, immerse themselves in programming, and explore facial and emotional recognition. In addition, they will use the software’s translation feature. At the second activity students should search for and upload images of Earth and other planets. In the first classification, they must include Earth images, while in the second category, their focus should be on uploading pictures of other planets. Subsequently, they are expected to train and export the model. Eventually, when an Earth image is submitted, the model exhibits its ability to identify it, as illustrated in the image below. The primary objective of this exercise is for students to understand machine learning. Worksheets“Once upon a time in the not-so-distant future, there were two curious travelers named Maria and Alexander. They have always been fascinated by the rapid advancements in technology, especially in artificial intelligence. Their lifelong dream was to visit a city where AI was not just a tool but a way of life. One day they received an invitation to visit another planet and a city where artificial intelligence was seamlessly integrated into every aspect of daily life. However, they had to create a digital identity and there was a special rule to get inside the AI city. They had to display their happiness and greet the city in the Maori language with a cheerful “Hello” in order to gain entry. Their second concern revolved around ensuring their safe return to Earth.1st challenge: Αccess to AI city Citizens of AI City are happy and speak the Maori language1.Open the Pictoblox software and start Coding! Create your digital identity. You should look happy at the photo and say hello to the Maori language. (Use the square box as a sprite)2st challenge: Prepare your spacecraft for a successful landing on planet Earth.Train your spaceship to land on planet Earth1.Navigate to the following link: https://teachablemachine.withgoogle.com/trainand upload a series of images depicting both planet Earth and other planets. |
