Motivation and emotion/Assessment


Overview edit

The major project takes a deep dive into a specific topic of interest, while quizzes assess breadth of knowledge. The major project provides a capstone experience scaffolded into four stages:

This project applies psychological science to real-world problems to produce useful open educational resources. Showcase this work in your your resume and e-portfolio.

Summary edit

Item Weight Due Late submissions Extensions Description Time involved
(150 hrs)
Topic selection 0% Week 03 Mon 9am 14 Aug 2023 Not accepted Not available Ungraded early assessment exercise. Create a Wikiversity account. Sign up to a major project topic. Ask clarifying questions etc. 1 hour
Topic development 10% Week 04 Fri 9am 25 Aug 2023 Not accepted Not available; withdrawal before Census Date recommended Develop plan for book chapter. Overview. Headings. Key points. Figure. Learning feature. Resources. References. User page. Social contribution. 14 hours: 4 hrs to learn "how" (incl. 2 x 1 hr tutorials), 5 hrs research, 5 hrs preparation
Book chapter 45% Week 11 Mon 9am 09 Oct 2023 Up to 7 days (-5% per day) Available with documentation Author an online book chapter up to 4,000 words about a unique motivation or emotion topic. Includes a social contribution component. 60 hours: 15 hrs to learn "how" (incl. 10 x 1 hour tutorials), 18 hrs research, 28 hrs preparation
Multimedia presentation 20% Week 14 Mon 9am 30 Oct 2023 Up to 7 days (-5% per day) Available with documentation Record and share a 3 minute online multimedia presentation focusing on key problems and answers provided by psychological science. Same topic as book chapter. 12 hours: 3 hrs to learn "how", 6 hrs preparation, 3 hrs to record & publish.
Quizzes 25% 1 - Week 04 Mon 9am 21 Aug 2023

2 - Week 06 Mon 9am 04 Sep 2023

3 - Week 08 Mon 9am 18 Sep 2023

4 - Week 11 Mon 9am 09 Oct 2023

5 - Week 13 Mon 9am 23 Oct 2023

6 - Week 15 Mon 9am 06 Nov 2023

Not accepted Available with documentation 6 equally-weighted 10-item, 10-minute, multiple-choice, online quizzes. One quiz per module. Based on textbook readings. 63 hours: 24 hrs lectures (12 x 2 hrs), 34 hrs reading (17 chs x 2 hrs), 3 hrs completing quizzes (6 x 10 mins)

Requirements edit

  • All assessment items are to be submitted online via UCLearn.
  • Submission of all assessment is optional. Non-submissions will be awarded 0.
  • Final marks and grades
    • A final overall mark of 50% or higher is required to Pass the unit.
    • The UC grading schema (HD = 85+, DI = 75 to 84, CR = 65 to 74), and P = 50 to 64) will be applied to final marks.

Alternative assessment edit

  • Alternative assessment which satisfies the learning outcomes and graduate attributes may be negotiated with the unit convener where reasonable grounds are presented. In the absence of email communication to the unit convener requesting alternative assessment, it is assumed that participation in the standard assessment exercises is willingly undertaken. The onus is upon the student to negotiate alternative assessment.
  • The major project (topic development, book chapter, and multimedia presentation) assessment exercises use collaborative, online, public platforms. Use anonymous accounts if you have privacy concerns. Students own the copyright to their work. Contributing to Wikiversity requires Creative Commons Sharealike 4.0 licensing of that material.

Generative AI edit


Figure 1. An image of an elderly woman deeply engrossed in her daily crossword puzzle. This image was generated by 2023 Motivation and Emotion student JorjaFive using Midjourney and uploaded to Wikimedia Commons for use in the chapter about flourishing in the elderly.

Generative artificial intelligence (genAI) tools such as ChatGPT can aid but should not replace independent thinking. If using genAI tools for the major project (topic development, book chapter, multimedia presentation), acknowledge their use in Wikiversity edit summaries and/or provide APA-style citations. When in doubt, more acknowledgment is better than less. Academia is based on transparency. Acknowledgement is not required for low-level tasks such as improving spelling and grammar.

You are responsible for content you submit. Be aware of limitations of genAI tools such as biases and inaccuracies. GenAI tools work best for topics you already understand, with carefully crafted prompting based on peer-reviewed research. Refine prompts for better results and fact-check generated content. Despite the risks, genAI tools can aid brainstorming, concept explanation, synthesis of ideas, and improve the readability and quality of written expression.

If you are unsure, post to the discussion forum, so we can all learn together.

Detailed guidelines Learning to use generative artificial intelligence (genAI) tools (such as ChatGPT) responsibly and ethically is an emerging skill. GenAI tools can be used to enhance academic work, but should be used judiciously as a supplementary tool, rather than a replacement for independent thinking and academic inquiry.

GenAI tools may be used to assist in preparation of the major project (topic development, book chapter, and multimedia presentation). Use of such tools must be clearly acknowledged, otherwise it is a violation of academic integrity. There are two acceptable methods for acknowledging use of genAI:

  • Use Wikiversity edit summaries when adding genAI material by including the name of the tool in the and a link to the conversation (e.g., see ChatGPT shared links FAQ) or the prompt details (or a summary of the prompt) (e.g., "ChatGPT May 24 Version. Prompt detail or summary") if a link can't be shared.
  • Provide APA style citation:, however the reference link should go directly to the genAI conversation

These practices help to ensure that the use of genAI is clear. Transparency is key to good practice in academia. If in doubt, it is better to err on the side of providing too much acknowledgement detail than not enough. However, there is no need to acknowledge genAI use for low-level tasks such as fixing grammar and spelling.

Be aware of the limits of genAI tools. Content they generate may be inaccurate, biased, incomplete, or otherwise problematic. Minimal effort prompts yield low quality results. Refine prompts to get better outcomes. You are entirely responsible for the accuracy and quality of any content you submit. Always fact check.

Regardless of whether genAI has been used, all claims need to be supported by verified peer-reviewed citations which you have consulted. In other words, genAI citation is necessary where it has been used, but not sufficient. Low-energy or unreflective reuse of text generated by genAI large language models without further investigation and reviewing of primary, peer-reviewed academic literature is likely to lead to a poor quality result. GenAI tools work best for topics which you already understand. Guide and craft genAI responses based on your reading of peer-reviewed theory and research.

Despite these warnings, you are encouraged to explore use of genAI tools to help create higher quality work. Recommended uses of genAI tools include brainstorming, explaining key concepts, developing a structure, synthesising complex ideas, rephrasing to improve readability and the quality of written expression, checking spelling and grammar, and image generation (e.g., see Figure 1).

If you are unsure about how to use genAI or how to cite appropriately, post to the discussion forum, so we can all learn together.

See also

Extensions edit

  1. Extensions for the Topic Selection and Topic Development assessment exercises are not available. Students unable to submit these assessment item by the due date should withdraw prior to the Census Date.
  2. Extensions for other assessment exercises will only be granted in exceptional circumstances. Progress on the assessment items is expected throughout the teaching period. Early communication of problems is strongly advised.
  3. Extensions will not be granted for:
    1. Workload (e.g., study load and/or paid or voluntary work) - such problems should be anticipated
    2. Technical problems (e.g., lost/corrupted/damaged storage media, software/internet access problems, and viruses) - keep multiple and regular backups
    3. Undocumented issues
  4. Send extension requests from your UC student email address to the unit convener and include:
    1. an extension application form and
    2. documentary evidence
  5. The unit convener will consider the request and reply via email to advise the outcome. If approved, the new due date will appear in UCLearn.
  6. For further information about extension requests, see:
    1. Assessment Policy section 3.15
    2. Assessment Procedure section 3.14 on Extenuating Circumstances (Deferred examinations and extensions).
    3. Assignment extensions

Late penalty edit

  1. No late submissions for the topic development are accepted.
  2. Other assessment items can be submitted up to 7 days late without an approved extension. This will incur a 5% penalty per day (i.e., -5% of total marks available for the assessment item), including weekends. A part-day late is counted as a full day late. If submitted beyond 7 days late, 0 will be awarded for the assessment item.

Marking and feedback edit

  1. Assessment will generally be marked and feedback provided within three weeks of submission.
  2. Availability of marks and feedback will be notified via the unit's UCLearn Announcements.
  3. Assessment submitted after the due date and time, regardless of whether an extension was granted, may be returned at a later date than those submitted on time.
  4. Late submission may result in reduced feedback being provided.