Motivation and emotion/Assessment
Overview[edit | edit source]
Summary[edit | edit source]
|Item||Weight||Due||Late submissions||Extensions||Description||Time involved|
|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 | edit source]
- All assessment items are to be submitted online via .
- 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 | edit source]
- 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 artificial intelligence (GenAI) tools like 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. Acknowledgement is not required for low-level tasks such as improving spelling, grammar, and quality of written expression.
You are responsible for content you submit. Be aware of limitations of genAI tools such as inaccuracies, biases, and incomplete content. 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.
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:
- Use Wikiversity edit summaries to acknowledge the addition of genAI content by providing the name of the tool and the prompt or a prompt summary (e.g., "ChatGPT May 24 Version. Prompt detail or summary"). An excellent way of doing this is to include a link to the genAI conversation (e.g., ChatGPT shared links FAQ)
- Provide APA style citation: https://apastyle.apa.org/blog/how-to-cite-chatgpt
There is no need to acknowledge genAI use for low-level tasks such as spelling, typographical errors, formatting of citations and so on.
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. All claims need to be supported by verified peer-reviewed citations which you have consulted. Low-energy or unreflective reuse of material generated by genAI tools 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, synthesising complex ideas, rephrasing to improve readability, improving the quality of written expression, checking spelling and grammar, and image generation (e.g., see Figure 1).
- Wikipedia:Large language models (draft proposal)
- 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.
- 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.
- Extensions will not be granted for:
- Workload (e.g., study load and/or paid or voluntary work) - such problems should be anticipated
- Technical problems (e.g., lost/corrupted/damaged storage media, software/internet access problems, and viruses) - keep multiple and regular backups
- Undocumented issues
- Send extension requests from your UC student email address to the unit convener and include:
- an extension application form and
- documentary evidence
- The unit convener will consider the request and reply via email to advise the outcome. If approved, the new due date will appear in .
- For further information about extension requests, see:
Late penalty[edit | edit source]
- No late submissions for the topic development are accepted.
- 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 | edit source]
- Assessment will generally be marked and feedback provided within three weeks of submission.
- Availability of marks and feedback will be notified via the unit's Announcements.
- 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.
- Late submission may result in reduced feedback being provided.