Final Exam Preparation: Human Behavior Week 14

End of Semester Housekeeping

• Sign-in for attendance.
• Complete student feedback for the subject (unit) and the teaching (instructor).
  • Email reminders were sent on May 29th.
  • Feedback is used to refine the unit and improve subjects.
  • Teaching feedback impacts instructor's job prospects.

Final Exam Details

• Format: Pen and paper.
• Date and Time: June 19th at 2 PM.
• Location: Find the room via the my exam timetable.
• Content:
  • 40 multiple-choice questions.
  • 30 simple and scenario-based questions focused on lecture content.
  • 10 questions outlining an AI academic summary evaluation task.
• Duration: 1 hour.
• Allowed Materials: Handwritten or printed notes (multiple sheets, less than a small book).

How to Study for the Final Exam

• Prioritize: Core lecture content.
• Steps:
  1. Watch all lecture videos.
  2. Read associated weekly readings.
  3. Review tutorial slides and email records (weekly activity submissions) if time permits.
• Caution: Excessive notes during the exam may waste time.
• Recommendation: Writing summary notes is excellent for memory scaffolding and understanding.
• Access to Content: Unit content is typically available until the end of the exam period (including catch-up exams).
• Personal Recommendation: Download all lecture materials and tutorials for future reference.
• Deferred Exams: Extensions for access to the site can be requested.

Practice Questions

• H5P Game: Practice with five example questions.
• Full Practice Exam:
  • 30 questions.
  • Timed.
  • Covers full subject content.
  • Located on the tutorial repository page.
  • Only one attempt is allowed.
  • Correct answers supplement research participation credit points.
• Behavior 2018 Final Exam Tutor (Microsoft AI Copilot):
  • Lower stakes option.
  • Coaches on why correct answers are correct.
  • Access via student emails (nine dots > Microsoft 365 Copilot).
  • Custom Copilot agent chatbot using lecture transcripts.

Using the AI Copilot

• Activate Microsoft 365 Copilot via student emails.
• Install the AI created for the unit via the link in week four tutorial repository.
• Example prompt: "Please give me one multiple-choice question based on week two content."

Understanding AI

• AI works by pattern recognition, using Bayesian statistics to determine the most likely next word.
• Large language models tokenize words and analyze their weightings and connections.
• AI doesn't "know" what it's saying; it predicts the likelihood of token sequences.
• Fact-check AI-generated content, as it can produce incorrect answers.
• Analogy: AI is like completing a jigsaw puzzle using pattern recognition, not intelligence.

AI Academic Summary Evaluation

• Task: Evaluate a 500-word AI-generated summary of a psychology journal article.
• Answer 10 multiple-choice questions about the summary's accuracy by cross-referencing it with the original article.
• The original journal article will be provided in full during the exam.
• Recommendation: Read or watch the article beforehand.

ACTSUM AI (Academic Summary AI)

• Custom Copilot AI chatbot designed to generate brief, structured academic summaries with intentional errors.
• It asks multiple-choice questions about the summary, modeled after exam questions.
• Caution: Automated responses may be janky; challenge the AI if you believe it's wrong.
• Access via the second link in the week four tutorial repository.
• The journal article for the AI academic summary evaluation task is "Mined Over Milkshakes."
• Recommendation: Use Chat GPT or other AI with the original article to generate a 500-word summary with internal errors for personal practice.

Supplementary Research Participation

• Due to limited research studies, alternative tasks are available to earn missing credit points.
• Options:
  1. Practice Exam: Every correct answer gives 0.5 credit points (maximum 15 points from 30 questions).
  2. Lecture Reflections: Approved lecture reflections contribute 5 credit points each (maximum 6 reflections for 30 points).
• Lecture Reflection Guidelines:
  • Focus on a new lecture week each week.
  • Duplicate reflections will not be credited.
  • Do not use AI.

Wrap Up

• Final reminder to complete student feedback forms.
• Best of luck in the final exam and future academic endeavors.
• Sign up for class attendance.