COMP 3270 / Assessments / Assignment 1

Cumulative assessment · Modules 1–6 · 15%

AI Learning and Reflection Journal

Document how your understanding, judgment, practices, and responsible-use boundaries develop across the course. Use specific learning evidence to explain what changed, why it changed, and how you will act differently.

Assignment 1Weight: 15%Begins in Module 1Continues through Module 6Submitted after Module 6Personally authored reflection
Assessment
Assignment 1
Title
AI Learning and Reflection Journal
Weight
15%
Development period
Modules 1–6
Recommended submission
End of Module 6
Required platform
None
Word count
See Moodle instructions
File format
See Moodle instructions

Assignment overview

The AI Learning and Reflection Journal is a cumulative assessment that begins in Module 1 and continues through Module 6. The journal should show development over time rather than provide a single end-of-course summary. Each entry should connect a specific course activity, reading, framework, output, correction, or decision with your own reasoning and changing practice.

A strong journal does more than list what you completed or state whether you liked an AI tool. It identifies an initial assumption or approach, describes relevant evidence, examines why that evidence matters, explains what changed, and establishes an actionable principle or boundary for future use.

Evidence-grounded

Refer to specific course activities, retained records, verified examples, course concepts, and decisions.

Developmental

Show how your confidence, assumptions, practices, and boundaries evolved across Modules 1 through 6.

Personally authored

Your reflection, interpretation, judgment, and account of your learning must be your own.

Key principle: Reflection is analysis of learning, not a diary of events and not a summary of course content. Focus on what changed, what caused the change, what remains uncertain, and what you will do next.

What this assignment should demonstrate

  1. Accurate understanding of important COMP 3270 concepts and frameworks.
  2. Ability to connect course evidence with your own reasoning and decisions.
  3. Recognition of AI capabilities, limitations, uncertainty, and corresponding risks.
  4. Development of effective prompting, context, workflow, and human-oversight practices.
  5. Awareness of fairness, accessibility, privacy, security, authorship, and integrity.
  6. Growth in verification, source evaluation, correction, and epistemic responsibility.
  7. Ability to distinguish task completion from learning and capability development.
  8. Evaluation of workplace, professional, and everyday uses through purpose and net benefit.
  9. Understanding of discipline-specific authority, governance, societal effects, and future uncertainty.
  10. Clear personal boundaries, no-AI zones, referral rules, safeguards, and stop conditions.
  11. Honest consideration of mistakes, unresolved questions, and continuing learning needs.
  12. A coherent final synthesis showing development from Module 1 through Module 6.

Build the journal from retained evidence

Preserve small pieces of evidence while completing the course. Do not rely on memory at the end. Use only material you are permitted to retain and submit.

Activity evidence

  • Initial AI-use self-assessment
  • Opportunity-risk and ORBIT maps
  • Prompt comparisons and workflow maps
  • Responsibility and authority matrices
  • Bias, privacy, permission, and disclosure audits
  • Claim, citation, and source-verification records
  • Learning experiments and capability checks
  • Workplace or everyday-use analyses
  • Governance, scenario, and HUMAN reviews

Change evidence

  • Original and revised prompts
  • Initial and corrected outputs
  • Before-and-after decisions
  • Newly identified assumptions
  • Verification failures or surprises
  • Changed confidence levels
  • Revised boundaries or no-AI zones
  • New escalation or referral rules
  • Questions that remain unresolved

Responsible evidence handling

  • Use synthetic, public, supplied, or authorized material.
  • Remove unnecessary personal details.
  • Do not include confidential workplace or client information.
  • Do not reproduce copyrighted course content beyond permitted use.
  • Verify claims and citations included in the journal.
  • Keep an accurate AI-use record where applicable.

Recommended journal coverage

The official assignment instructions determine the required number, length, and format of entries. The sequence below is a planning guide that follows the course outline.

Suggested cumulative coverage across Modules 1 through 6
Course stagePossible reflection focusUseful evidencePossible change to document
Module 1Generative AI, the AI Paradox, capabilities, limitations, effectiveness, purpose, and accountabilityInitial self-assessment, exploration record, opportunity-risk map, ORBIT mini-analysisInitial expectations, confidence, concerns, and preliminary boundaries
Module 2Prompt design, context, source boundaries, workflow stages, human-AI roles, and oversightWeak and revised prompts, comparison criteria, SCOPE sequence, PARTNER matrixMovement from prompt wording toward workflow and responsibility design
Module 3Fairness, accessibility, privacy, security, rights, authorship, integrity, contestability, and remedyBias audit, information classification, minimized prompt, permission analysis, disclosure draftNew information boundaries, affected-person considerations, or no-AI zones
Module 4Hallucination, verification, evidence, source independence, learning, research, and knowledge creationTRACE or CLAIM record, citation audit, learning experiment, research-validation notesChanged confidence in fluent output and increased verification discipline
Module 5Communication, workplace use, everyday decisions, productivity, hidden work, relationships, and capabilityCommunication redesign, net-productivity comparison, escalation pathway, personal-use analysisChanges to professional, workplace, consumer, health-information, or personal-use practices
Module 6Disciplinary authority, governance, emerging systems, scenarios, adaptive safeguards, and HUMAN integrationDOMAIN map, use-case inventory, governance audit, permission matrix, scenarios, HUMAN reviewFinal principles, continuing-learning plan, revalidation triggers, and stop conditions
Avoid six disconnected summaries: Connect entries by returning to earlier assumptions and showing how later evidence confirmed, qualified, or changed them.

Recommended reflection process

  1. Describe
    Identify the specific activity, decision, result, or problem without retelling the whole module.
  2. Examine
    Explain the assumption, evidence, tension, uncertainty, or consequence that mattered.
  3. Revise
    State what changed in your understanding, confidence, workflow, or boundary and why.
  4. Apply
    Define what you will do, verify, avoid, escalate, or stop in a future situation.

Suggested structure for an individual entry

1. Context and evidence

  • What specific course activity or evidence are you examining?
  • What did you initially expect, assume, or do?
  • What happened, and which detail was most important?

2. Analysis

  • Which course concept or framework helps explain the result?
  • Why does the result matter for effectiveness or responsibility?
  • What competing considerations or affected people should be considered?

3. Change

  • What changed in your confidence, understanding, or decision?
  • Which earlier belief was confirmed, qualified, or rejected?
  • What uncertainty still remains?

4. Future practice

  • What principle, safeguard, referral rule, or no-AI boundary follows?
  • What evidence would you require next time?
  • What condition would cause you to redesign, escalate, or stop?
Show a concise evidence-to-reflection template
  1. Initial position: Before the activity, I assumed or expected...
  2. Specific evidence: The activity, output, comparison, or verification showed...
  3. Interpretation: This matters because...
  4. Course connection: The relevant concept or framework is...
  5. Change: I now understand, question, or do...
  6. Future boundary: In a similar situation, I will...
  7. Uncertainty: I still need evidence or guidance about...

Use the prompts to plan your own writing. Do not treat the template as text to reproduce mechanically.

Suggested final organization

Use the official Moodle instructions if a required format is provided. Otherwise, this structure can help you assemble a coherent submission.

Front matter and entries

  1. Title and student identification required by the course
  2. Brief introduction describing your starting point
  3. Chronological or thematic reflection entries
  4. Clear references to retained course evidence
  5. Transitions showing development across modules

Final synthesis

  1. Most significant changes in understanding and practice
  2. Current effective-use principles
  3. Current responsible-use boundaries and no-AI zones
  4. Verification, referral, escalation, and stop rules
  5. Continuing-learning and revalidation plan
  6. AI-use disclosure and references, if required

AI use, personal authorship, and academic integrity

Work that must remain yours

  • Your account of what you experienced and learned
  • Your interpretation of evidence
  • Your explanation of changed assumptions
  • Your personal and professional boundaries
  • Your final synthesis and judgment
  • Your continuing-learning plan

If AI use is permitted

  • Follow the exact Assignment 1 AI-use rules in Moodle.
  • Use AI only for permitted, bounded assistance.
  • Do not ask AI to invent experiences, reflection, evidence, or citations.
  • Verify factual or source-based content.
  • Retain an accurate record of material assistance.
  • Disclose assistance according to course requirements.
Important: A polished AI-generated reflection is not evidence of your learning. Do not use AI to replace the personal reasoning this assignment is designed to assess.

Accessibility, privacy, and support

Accessibility

  • Use headings and descriptive labels.
  • Provide text alternatives for visual evidence.
  • Use accessible tables and sufficient contrast.
  • Follow any approved accommodation arrangements.

Privacy

  • Do not identify clients, patients, students, employees, community members, or other individuals.
  • Remove confidential or unnecessary details.
  • Use synthetic or generalized examples when appropriate.

Support

  • Contact the course coordinator for scope, AI-use, evidence, or format questions.
  • Use library support for sources and citations.
  • Use accessibility or technical support as needed.
  • Ask early if requirements are unclear.

Submission instructions

Official assessment details

Assessment: Assignment 1, AI Learning and Reflection Journal

Weight: 15%

Development period: Modules 1 through 6

Recommended submission: End of Module 6

Official Moodle due date and time: ____________________

Required word count or length: ____________________

Required file format and filename: ____________________

Before submitting

  • Read the official assignment instructions and grading rubric.
  • Confirm all required entries and components are present.
  • Check that reflection is analytical and personally authored.
  • Verify factual claims, citations, and references.
  • Remove private or unauthorized information.
  • Complete the required AI-use disclosure.
  • Check accessibility, formatting, and file naming.
  • Upload the correct file and verify successful submission.
Return to course homeOpen official Assignment 1 instructionsOpen grading rubricOpen Assignment 1 submission area

Course developer: replace the placeholder anchors above with the final Moodle URLs.

Final submission checklist

Assignment 1 completion items

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