PSY353 Positive Psychology ECA July 2026: Well-Being Report with AI Assessment Critique
| Course Code | PSY353 |
| Course Title | Positive Psychology |
| University | Singapore University of Social Sciences (SUSS) |
| Assessment | End-of-Course Assessment (ECA) |
| Semester | July 2026 |
| Weighting | 50% of the final mark |
| Main Task | Question 2: Well-Being Report, 2,000 words including in-text citations (90 marks) |
| Referencing | APA, minimum 5 valid academic references |
The July 2026 PSY353 ECA asks students to interview one person about their social relationships and well-being, ask a generative AI tool to assess that person’s well-being, and then write a scientific essay that critiques and improves on the AI report using positive psychology theory and evidence.
Marks Allocation
- Question 1: Individual Attendance and Class Participation (5 marks)
- Question 2: Well-Being Report, 2,000 words (90 marks)
- References (5 marks)
- English competency: up to 5 marks deducted; 5 marks deducted for an incomplete or missing cover page
Question 1: Attendance and Class Participation (5 marks)
Credit is given for attending classes and contributing meaningfully to discussions. Students who miss a seminar can earn partial credit with a reflective post of at least 300 words on the weekly discussion board within seven days of the seminar.
Question 2: Well-Being Report (90 marks)
Write the report as a scientific essay, not in the Introduction, Methods, Results, Discussion format.
Interview and AI Assessment
- Obtain consent from one person who is not taking PSY353 this semester (a schoolmate, friend, colleague, family member or relative) and interview them about their social relationships, happiness and well-being. The interview may be purely qualitative or may include short well-being measurement scales.
- Use any generative AI tool with this prompt: “Based on the following information, generate a report assessing the well-being of the interviewee, and identify three major factors influencing the interviewee’s well-being.” Do not upload any identifying information.
- Declare and cite all AI use, with a table of any additional prompts and outputs.
- Include in an Appendix (i) interview notes covering the questions asked and the answers, and (ii) the AI-generated report. Up to 20 marks are deducted if this evidence is missing. Use a pseudonym throughout.
Key Points the Report Must Address
- With reference to the AI report, assess the interviewee’s well-being levels using theoretical models of well-being. Critique the AI report: point out inaccuracies, add missing details, and supply the theory and empirical evidence it left out. Do not simply edit the AI report.
- Analyse three distinct factors (for example personality, social relationships, emotionality, culture, health, work experiences or finances) that contribute to or hinder the interviewee’s well-being, and evaluate how far each is open to personal choice. You may build on the AI’s factors or add ones it missed, again with critique and evidence.
- Propose three recommendations to improve the person’s well-being. This section must be your own work, not AI-generated. For each, critically evaluate its limitations and challenges and suggest how the interviewee could overcome or reduce them.
- Use empirical evidence and concrete examples from the interviewee throughout.
References (5 marks)
Accurate APA in-text citations and reference list with at least five valid academic sources (peer-reviewed journal articles, academic books or chapters). Websites, blogs, videos, theses and the iSmartGuide do not count.
Learning Outcomes Assessed in Question 2
- Analyse how various factors may enhance or undermine well-being.
- Appraise a person’s well-being levels and identify the factors influencing them.
- Design programmes to improve well-being by integrating positive psychology theories and findings.
- Propose recommendations on how limitations or challenges to applying positive psychology can be overcome.
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