“Computational Thinking and Programming”:
Students will understand how machine learning algorithms recognize patterns in text (poetry) and apply these concepts in Scratch programming.
“Machine Learning (ML) Applications"
1. A learning machine will be trained on a set of data (poems) to identify the verbs and pronouns in the first and second person singular
2. The lesson is based on pattern recognition in ML.
3. Engaging students by combining AI technology with literature
“Integration of Art and Technology”:
1. Using Machine Learning techniques to identify parts of speech such as verbs and pronouns in a text to identify the poetic self
2. Integrating the lyrical self into Scratch using animated poetry
3. Encouraging creativity in coding, open discussions about poetry and technology, and hands-on activities.
4. Different lyric texts from national poets will be used
“Lesson Preparation and Evaluation”:
1. Pre-lesson: Introduction to the themes of poetic lyrical self
2. Post-lesson: Creative writing with AI
"Lesson Evaluation"
1. Establishing the type of poetic self by finding the verbs and pronouns with the help of ML
2. Creating an interactive and visual interface, facilitating the understanding of the results obtained by programming in Scratch.
2. Apply ML concepts to categorize different poetic selves.
3. To identify and differentiate the objective and subjective poetic self in a lyric text.
4. To analyze the frequency of verbs and pronouns in the first and second person singular in a text, as an indicator of the degree of subjectivity.
Discussion with all students in the class about the concept of "self" in everyday life.
The teacher makes the transition to the concept of "lyrical self" in poetry, emphasizing the fact that the poet can express his feelings and experiences in a very personal and subjective way.
Introduce the concept of ML in the analysis of verbs and pronouns of a poem.
Provide written instructions and verbal explanations.
Use hands-on activities in Scratch to realize animate poem.
1.Task:
The notions of objective lyrical self and subjective lyrical self are explained.
It is emphasized that the objective lyrical self is more distant, the author preferring to describe the external world, while the subjective lyrical self is present in a more direct way, expressing personal feelings and experiences.
The frequency of verbs and pronouns in the first and second person singular is presented as an indicator of the degree of subjectivity. Students will identify verbs and pronouns from lyric texts uploaded to the ML platform.
Students receive the worksheet with fragments of lyrical texts, from which they can identify the lyrical self (objective or subjective) and justify the answer by counting verbs and pronouns in the first and second person singular.
Deep understanding of the concept of the lyrical self: By creating animated poems using Scratch students will better understand the differences between the objective and subjective lyrical self.
The teacher offers additional support or differentiated work tasks for students.
2.Organization:
Work in small groups to discuss and analyze patterns in language.
3.Differentiation:
Depending on the programming skills of the students, they will create models in ML and programming in Scratch.
basic level: Creating poetry with AI to highlight the objective and subjective poetic self
level 1: Creating animated poetry using Scratch programming
level 2: Model training: a machine learning technique is used, such as extracting verbs and pronouns from the uploaded lyric text
Link to Objectives:
Students identify the type of poetic self by analyze the results obtained from the ML model
Creative writing on AI tools to highlight the objective and subjective poetic self
Sharing:
Students present their poems with two kinds of poetic self
Next Lesson:
Introduction in the next lesson - using the ML model trained in the previous lesson, the poetic self will be determined from the works of the poets Eminescu, Blaga and Bacovia.
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.