Cette leçon explore le fonctionnement de l'intelligence artificielle appliquée à un distributeur de croquettes intelligent. Les élèves découvrent l'apprentissage supervisé pour distinguer les chiens des chats en utilisant l'interface Vittascience.

Une séquence complète sur l'utilisation des robots dans les missions de sauvetage et de secours, comprenant vocabulaire technique, lecture et atelier d'écriture.

Une évaluation complète sur les interactions et les forces pour le niveau 4ème, incluant des diagrammes objets-interactions et des tracés de vecteurs.

A comprehensive lesson exploring the three primary types of symbiotic relationships: mutualism, commensalism, and parasitism. Students analyze animal interactions through task cards, case studies, and visual organizers.

A comprehensive lesson on structural and behavioral adaptations across various biomes, including specialized survival strategies like hibernation, migration, camouflage, and mimicry.

A foundational lesson exploring how energy moves through ecosystems, focusing on trophic levels, the 10% rule, and the complex connections in terrestrial and aquatic food webs.

Teachers learn to break complex tasks into smaller, manageable steps using classroom routines and Iowa Core standards as examples.

An extra credit project challenging students to live plastic-free for two weeks while researching the impacts of bioaccumulation and exploring sustainable alternatives. Students document their journey and findings in a formal scientific lab report.

Students learn to craft compelling marketing messages by developing a Value Proposition using a specific formula and applying visual text hierarchy principles to design website 'Hero Text'.

Students finalize their Unit 3 Portfolio, checking for technical errors and exporting their report as a professional PDF for final submission.

Students synthesize their Unit 3 research by creating a professional Market Analysis Report, integrating personas and charts from previous lessons.

Students learn the fundamentals of financial forecasting, calculating revenue vs. profit, and using absolute cell referencing ($) to project business growth over time.

Students learn to transform raw spreadsheet data into impactful Pie and Bar charts to visualize market trends and customer intent.

Students learn to use sorting, filtering, and conditional formatting in Google Sheets to identify target audience trends and organize large datasets efficiently.

Students transition from data entry to data analysis by learning essential Google Sheets formulas like =SUM, =AVERAGE, and =COUNT, as well as the efficiency of the Fill Handle.

Students gain 'x-ray vision' over large datasets by learning to sort and filter information. They explore conditional formatting to visualize trends and identify specific target segments within their market research data.

Students transition from data entry to data analysis by mastering fundamental spreadsheet formulas. They learn the power of the equals sign, cell referencing, and essential functions like =SUM, =AVERAGE, and =COUNT to automate business calculations.

Students explore the efficiency of automated data collection by linking their market research forms to live spreadsheets. They learn the concept of real-time data syncing and master the 'Freezing Rows' skill to manage large datasets effectively.