Students will use digital tools (Scratch) to analyze literary texts and extract relevant information.
“Machine Learning (ML) Applications"
1. To use digital tools such as Scratch to create interactive projects related to poetry.
2. Engaging students by combining AI technology with literature
“Integration of Art and Technology”:
1. Encouraging creativity in coding, open discussions about poetry and technology, and hands-on activities.
2. Different lyric texts from national poets will be used
3. Development of critical thinking, creativity and the ability to integrate knowledge from different fields (literature, computer science).
“Lesson Preparation and Evaluation”:
1. Pre-lesson: Summary of the main characteristics of a lyrical text
2. Post-lesson: Students will create a portfolio in which they will collect all the projects completed during the learning unit.
"Lesson Evaluation"
1.Creativity and originality
2.Understanding poetry and its specific elements
3.Quality of the Scratch project (design, programming)
4.The ability to communicate ideas
To use digital tools such as Scratch to create interactive projects related to poetry.
To develop critical thinking, creativity and the ability to integrate knowledge from different fields (literature, computer science).
Brainstorming: What connection can there be between poetry and technology?
1.Task:
• Poem choice: group of students choose a poem they like.
• Analysis of the poem:
-Identification of the theme and the poetic self
-Choosing the key elements that will be represented in the Scratch project
• Creating the project guided by the example:
-Visual representation of poetry: backgrounds, sprites, animations
-Using sounds and music to create atmosphere
-Programming user interaction (eg click on a sprite to display a verse)
2.Organization:
Work in small groups to create project in Scratch.
3.Differentiation:
Depending on the programming skills of the students, they will create projects in Scratch.
basic level: Poem choice and analysis of the poem
level 1: Creating the project: visual representation of poetry: backgrounds, sprites, animations
level 2: Creating the project: using sounds and music to create atmosphere
level 3: Creating the project: programming user interaction
Link to Objectives:
Each group presents their project, explaining the choices they made and how they represented the poem in Scratch.
Sharing:
An open discussion: Students will reflect on how they have applied the knowledge they have acquired.
Next Lesson:
Introduction in the next lesson - students will use the portfolio created by adapting it to other types of texts from literature.
Attach example documents and jpeg of artefact.
Apps: Scratch, Machine Learning for Kids platform
Equipment: Computers with internet access, projector for demonstrations.
Supplementary: Printed worksheets on basic ML concepts, example poems for reference.
