CQUniversity Unit Profile.

Assessment type: Presentation
Mode: Group of 4
Due: Week 5
Submission: Online via Moodle

This is a group-based assessment worth 20% of the total marks for this unit. The assessment is designed to develop students’ practical research, teamwork and professional presentation skills in the context of contemporary blockchain technologies and their real-world applications.

In this assessment, students will work in groups of up to four members to investigate a recent development, industry application, business problem or organisational scenario where blockchain technology may provide value. Groups will prepare and submit a recorded presentation that explains the selected context, analyses the relevance of blockchain, identifies potential benefits and limitations, and presents an initial feasibility position.

Students may select their own group members. Each group is responsible for ensuring that all members contribute appropriately to the preparation and presentation. All group members must submit the same assessment artefacts through the Moodle submission link, unless otherwise advised by the Unit Coordinator.

Further details, including the assessment specification, required presentation format, marking criteria, submission requirements and supporting resources, will be provided on the unit Moodle site.

Please refer to the unit's Moodle site for a detailed description of the task.

AI ASSESSMENT SCALE -  AI PLANNING

You may use Al for planning, idea development, and research. Your final submission should show how you have developed and refined these ideas.

Where generative AI is used, groups must provide the required SAGE evidence as described on Moodle, including a brief account of how AI-supported suggestions were accepted, modified or rejected during development of the presentation.

The assessment criteria include:

• quality of the selected blockchain case, industry context or organisational scenario;
• depth of analysis of blockchain suitability, benefits, limitations and feasibility in the selected context;
• quality of research, source selection, provider/platform comparison and evidence-based justification;
• effectiveness of the recorded presentation, including structure, clarity, professional communication, visual design, timing and referencing;
• appropriate acknowledgement of group contribution and permitted AI-assisted support, including the required SAGE evidence where applicable.

Please refer to the unit Moodle site for the detailed task description and marking rubric.

Assessment 2: In-class Practical Assessment
Weighting: 20%
Mode: Individual
Due: Week 7, during the student’s allocated tutorial
Submission: Online via Moodle (completed and submitted in class)

This is an individual in-class practical assessment worth 25% of the total marks for this unit. The assessment requires students to apply blockchain concepts, practical skills and research-informed reasoning developed in the unit during the first half of the term.

The assessment will be completed during the student’s allocated Week 7 tutorial, whether the student is enrolled on campus or online. Students will be provided with a practical/research task during the tutorial and must complete and submit their work through Moodle within the allocated tutorial time.

The task may require students to complete or modify a practical blockchain activity, use appropriate tools, record evidence of their work, interpret outputs, and provide short written explanations that demonstrate their understanding of relevant blockchain concepts. Students are expected to review the relevant weekly materials, readings and tutorial activities before attending the assessment session.

Attendance at the allocated Week 7 tutorial is required. Students who do not attend their allocated tutorial and do not have an approved assignment extension or approved alternative assessment arrangement will receive a mark of zero for this assessment. Submissions by email, or submissions made outside the allocated tutorial time without an approved arrangement will not be accepted.

Further details, including the assessment specification, permitted resources, submission requirements, marking criteria and supporting guidance, will be provided on the unit Moodle site.

AI Assessment Scale: AI Assisted
Generative AI and other digital tools may be used to support planning, clarification, troubleshooting, checking and refinement during the assessment, where this is consistent with the assessment instructions. Students remain responsible for the accuracy, completeness and integrity of their submission.

The submitted work must demonstrate the student’s own understanding and practical application. Students must be able to explain the work they submit, verify any AI-assisted output, and acknowledge any use of generative AI as required in the assessment instructions.

This assessment is exempt from the 72-hour submission grace period and must be completed by the stated submission date/time.

The marking criteria are based on:

• relevance, knowledge and understanding of the assessed blockchain concepts, as demonstrated through the completed in-class practical/research task;
• practical application and technical literacy, including the appropriate use of required tools, completion of the required activity, interpretation of outputs, and evidence of work completed during the allocated tutorial session;
• communication and information literacy, including the clarity of written explanations, use of appropriate terminology, and ability to connect practical outputs to relevant blockchain principles;
• quality of supporting evidence, references or citations where required, including appropriate acknowledgement of any permitted external or AI-assisted support in accordance with the assessment instructions.
• Please refer to the unit Moodle site for the detailed task description, submission requirements and marking rubric.

Assessment 3: Solution Development
Weighting: 55%
Assessment type: Group work
Mode: Group
Due: Week 12
Submission: Demo/defend during the scheduled Week 12 tutorial, and final report submitted online via Moodle

This is a group-based assessment worth 50% of the total marks for this unit. The assessment requires students to develop and document a blockchain-based solution for a selected business, industry or societal problem. The solution should demonstrate how blockchain technology may be applied to address the selected problem and should consider relevant technical, organisational, security, privacy, governance and implementation issues.

The assessment is completed in two parts:

Part A: Solution Demo/Defend — 25%
Groups will demonstrate and explain their proposed blockchain-based solution during the scheduled Week 12 tutorial, whether on campus or online. The demo may include, as appropriate, a working prototype, smart contract, simulation, system architecture, process model, transaction workflow, screenshots, video demonstration, or other evidence of solution development.
Part B: Solution Development Report — 30%
Groups will submit a written report through Moodle. The report should document the problem context, proposed solution, blockchain architecture or design, implementation strategy, risks, limitations, recommendations and supporting references.
Students will work in groups of up to four members. Groups may choose to develop a working blockchain application or prototype where feasible. Where full application development is not feasible, groups must still provide appropriate evidence of solution development through a detailed design, simulation, architecture, process model, smart-contract prototype, or implementation plan.

Further details, including the assessment specification, required report structure, demo expectations, acceptable solution artefacts, submission requirements, marking criteria and supporting resources, will be provided on the unit Moodle site.

AI Assessment Scale: AI Planning
Generative AI may be used for planning, idea development, research support, design exploration, troubleshooting and refinement. Students are responsible for critically evaluating, modifying and verifying any AI-assisted material before submission.

The final demo and report must show evidence of the group’s own judgement, development and refinement of ideas. Where generative AI has been used, students must acknowledge its use and explain how AI-assisted material was reviewed, adapted or rejected during the development of the solution.

The assessment criteria are based on:

• analysis of the selected problem, industry context, and suitability of blockchain technology;
• quality of the proposed blockchain-based solution, including architecture, design, implementation approach, and evidence of solution development;
• effectiveness of the demo/defend component, including the group’s ability to demonstrate, explain and justify the proposed solution;
• consideration of technical, organisational, security, privacy, governance, scalability, risk and implementation issues;
  quality, structure and professionalism of the written report, including clarity of argument, appropriate use of evidence, referencing, and acknowledgement of any permitted AI-assisted support.

Please refer to the unit Moodle site for the detailed task description, demo requirements, report requirements and marking rubric.