SHS3 Computing · Semester 2, Week 6
App Development
Full lesson notes coming
Notes for this lesson are being prepared. The curriculum details below are complete and ready to use for your planning.
Curriculum details
- Strand
- Computational Thinking (programming Logic) (Strand 2)
- Sub-strand
- App Development (2.2)
- Content standard
- 3.2.2.CS.1 - Demonstrate knowledge and understanding of Computational Thinking (Artificial Intelligence) 3.2.2.LO.1 Explain the concept of Artificial Intelligence and its applications and use the knowledge acquired to distinguish between conventional systems and intelligent systems.
- Indicator
- 3.2.2.LI.1 - Describe the fundamental principles and components of Artificial Intelligence, such as machine learning, neural networks, and natural language processing.
- Suggested placement
-
Semester 2, Week 6
(Week 26 of the year)
Our suggestion, laid out in curriculum order across three terms of twelve weeks. NaCCA does not fix the week, so follow your school's scheme of learning.
- Curriculum reference
- NaCCA curriculum document, p. 95
Exemplars (from the NaCCA curriculum)
Discuss real-world applications of Artificial Intelligence, such as image recognition, language translation, and virtual assistants. Project-Based Learning Approach: - Engage in whole-class discussions to explore principles and components of Artificial Intelligence - Conduct practical sessions with individuals and in mixed-ability/gender-sensitive groups. - Employ interactive multimedia presentations and video analysis to facilitate discussions and demonstrate techniques for principles and components of Artificial Intelligence SEL: When teaching about Computational Thinking, teachers can integrate Social Emotional Learning (SEL) principles to create an engaging and supportive learning experience. Here are some SEL features you can incorporate into this specific topic: Self-awareness: - provides opportunities for self-assessment of their skills and progress in applying these concepts to manipulate data. - helps students to recognise their emotions and attitudes towards the topic, supporting their self-confidence and self-efficacy. Self-management: - guides students in setting goals and planning their work. - fosters resilience and perseverance by supporting students in managing challenges and setbacks they may encounter during the learning process. Social awareness: - promotes collaborative learning by assigning group projects or activities to learners. - encourages students to share their knowledge and expertise with their peers, creating a supportive learning community. Relationship skills: - promotes teamwork and collaboration by encouraging students to work together to solve complex problems and share their insights and solutions. - emphasises the value of giving and receiving constructive feedback. Responsible decision-making: - encourages learners to make informed decisions. - encourages critical thinking and reflection. Teaching and Learning Materials: - * Notepad or exercise book * Pen * Smartphones * Laptops - * Desktop computers * Tablets * TV and radio * Open Educational Resources (including YouTube, MOOCs - - Udemy/Coursera, Khan Academy, and TESSA) - * The iBox/iCampus (CENDLOS) * Productivity tools ix. Subject-based application software * Instructional laboratories (with multimedia equipment and smartboards) * Maintenance and repair workshops Assessment (3.2.2.AS.1). The document marks these depth-of-knowledge levels for this indicator: Level 1 Recall.