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Course

Technology, Engineering & Social Responsibility

Self-paced TESR pathway: digital citizenship, privacy and cybersecurity, AI/data fairness, platform and labor impacts, plus a full social-good capstone.

Prerequisite: None

Units

5

Lessons

144

Labs

144

Assessments

0

Estimated Length

Self-paced

What You'll Learn

Core concepts and engineering habits developed across the pathway.

9-12 Grade LVL

Develop this strand through the structured course pathway, unit study, and recurring practice tasks.

Self-Paced

Develop this strand through the structured course pathway, unit study, and recurring practice tasks.

NJ Standards

Develop this strand through the structured course pathway, unit study, and recurring practice tasks.

Course Pathway

Structured blocks with one recommended unit expanded by default.

Block 1

Foundations of Responsible Technology to AI, Data, and Algorithmic Fairness

A sequenced section of the course pathway that groups adjacent units into one thematic block.

Select a unit to start directly at lesson 1.

01

Unit 1

Continue Here

Foundations of Responsible Technology

Establish culture, digital citizenship, and information literacy practices that anchor every later ethics and engineering decision.

24 lessons24 labs0 assessmentsSelf-pacedBeginner

Opens at lesson 1

Learning Outcomes

  • Work through course orientation: what is tesr? with applied engineering reasoning.
  • Work through digital citizenship: norms and discussion protocols with applied engineering reasoning.
  • Work through understanding your digital footprint with applied engineering reasoning.

References / Standards

9.4.12.DC.1: Explain ethical behavior in digital environments.9.4.12.IML.8: Evaluate media for bias, accuracy, and credibility.

Lab / Practice

24 embedded labs or applied exercises move this unit from theory into build, testing, or analysis work.

Assessment

Checkpoint prompts and reflection tasks support review before advancing.

02

Unit 2

AI, Data, and Algorithmic Fairness

Develop practical AI literacy while investigating how data quality, design choices, and deployment context shape fairness and outcomes.

32 lessons32 labs0 assessmentsSelf-pacedIntermediate

Opens at lesson 1

Block 2

Persuasive Technology and Data Governance to Reverse Engineering and Technical Reporting

A sequenced section of the course pathway that groups adjacent units into one thematic block.

Select a unit to start directly at lesson 1.

03

Unit 3

Persuasive Technology and Data Governance

Examine how interface design, attention incentives, and data governance policies influence behavior and power.

16 lessons16 labs0 assessmentsSelf-pacedIntermediate

Opens at lesson 1

04

Unit 4

Reverse Engineering and Technical Reporting

Analyze how engineered products function through interacting subsystems and communicate findings through clear reverse-engineering documentation.

24 lessons24 labs0 assessmentsSelf-pacedAdvanced

Opens at lesson 1

Block 3

Social Good Capstone Engineering

A sequenced section of the course pathway that groups adjacent units into one thematic block.

Select a unit to start directly at lesson 1.

05

Unit 5

Social Good Capstone Engineering

Synthesize TESR learning into a capstone proposal, prototype or policy product, and public-facing presentation with clear ethical justification.

48 lessons48 labs0 assessmentsSelf-pacedAdvanced

Opens at lesson 1

Course Resources

NJ Standards Alignment

9.4.12.DC.19.4.12.IML.88.1.12.IC.18.1.12.DA.68.2.12.ED.18.2.12.ETW.4

A five-unit course focused on responsible technology use, AI literacy, governance, reverse engineering, and socially grounded engineering decision-making. Students build critical thinking, design, and communication skills while addressing real-world technology challenges.

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Production stage:Beta (Active Development)Last updated: May 27, 2026

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