9-12 Grade LVL
Develop this strand through the structured course pathway, unit study, and recurring practice tasks.
Course
Self-paced career pathway focused on ethics, community outcomes, responsible decision-making, projects, case studies, and financial literacy.
Prerequisite: Technology, Engineering & Social Responsibility recommended
Units
4
Lessons
32
Labs
32
Assessments
2
Estimated Length
Self-paced
What You'll Learn
Develop this strand through the structured course pathway, unit study, and recurring practice tasks.
Develop this strand through the structured course pathway, unit study, and recurring practice tasks.
Develop this strand through the structured course pathway, unit study, and recurring practice tasks.
Course Pathway
Block 1
A sequenced section of the course pathway that groups adjacent units into one thematic block.
Select a unit to start directly at lesson 1.
Unit 1
Continue HereStudents explore their values, strengths, interests, and early career options while building baseline communication and self-awareness habits.
Opens at lesson 1
5 embedded labs or applied exercises move this unit from theory into build, testing, or analysis work.
2 mastery checks help verify understanding before the next block of the pathway.
Unit 2
Students connect personal finance decisions to career planning, workplace realities, and responsible participation in the modern economy.
Opens at lesson 1
Block 2
A sequenced section of the course pathway that groups adjacent units into one thematic block.
Select a unit to start directly at lesson 1.
Unit 3
Students examine how innovation changes society and how privacy, security, and ethical technology practices shape responsible decision-making.
Opens at lesson 1
Unit 4
Students study how data and AI influence decisions, opportunity, and fairness, then communicate their own evidence-based perspectives.
Opens at lesson 1
Course Resources
NJ Standards Alignment
A unit-first career exploration course organized around identity, financial literacy, responsible innovation, and the social impact of data-driven systems.
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