SHS3 Computing · Semester 2, Week 3

Algorithm and Data Structure

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
Algorithm and Data Structure (2.1)
Content standard
3.2.1.CS.1 - Demonstrate knowledge and understanding of Data Storage 3.2.1.LO.1 Develop knowledge and skills in data storage technologies and their applications.
Indicator
3.2.1.LI.1 - Identify, classify and discuss 3 Mass Storage media.
Suggested placement
Semester 2, Week 3 (Week 23 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. 91

Exemplars (from the NaCCA curriculum)

Group work/collaborative learning: Divide the class into two groups mixed ability groups and task them to:
- Identify, classify, and discuss three types of mass storage media commonly used in computing systems.
- Apply knowledge of data storage technologies to solve a given problem, considering factors such as capacity, performance, and reliability.
- Engage in group discussions and collaborative activities to explore and analyse real-world scenarios related to data storage solutions, ensuring inclusivity and equity for all learners.
SEL: When teaching students about Data Storage, 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
- Presentation and demonstration
- Enquiry on Critical infrastructure security
- Application security, Network security.
- Cloud security
- Internet of Things (IoT) security
Assessment (3.2.1.AS.1). The document marks these depth-of-knowledge levels for this indicator: Level 4 Extended critical thinking and reasoning.