Assessment 2: Critical Analysis Written Assessment

Critical Analysis

This word count does not include the title page, contents page, figures/tables, or reference list.

You are supplied with a scenario for this critical analysis. You are also supplied with a template for completing the critical analysis.

You will be analysing quantitative and qualitative data.

• The quantitative data is supplied from the Bureau of Meteorology (BOM).

• The qualitative data is supplied from TripAdvisor.

There are three tourism attractions for each scenario, and there are thirty reviews for each attraction.

The scenario and data are provided for the following Australian cities/towns:

• Ballarat in Victoria

• Echuca in Victoria

• Hobart in Tasmania

• Maryborough in Queensland

• Mt Barker in South Australia (SA)

• Newcastle in New South Wales (NSW)

Refer to the Assessment Overview module for an overview of the scenario and the marking rubric.

There are folders containing scenarios and data for the different towns/cities provided.
DO NOT mix information across folders.

Select one town/city from the provided information that you are going to use.
Once selected, do not change your selection.

Update on Analysing TripAdvisor Qualitative Data

You are now required to use Copilot AI for your TripAdvisor qualitative data analysis. No alternative AI is permitted.
Everyone at JCU has access to Copilot AI.

You must upload your TripAdvisor reviews to Copilot AI and ask it to conduct a thematic analysis of the reviews.

You must save all prompts you input.

You must save all output generated by Copilot AI.

These prompts and outputs must be submitted with your Assessment 2 submission.

You must complete the document titled “Acknowledgement of Generative AI Use” (found in the assessment folder) and submit it with your assessment.

Failure to submit:

• the Acknowledgement of Generative AI Use,

• all prompts, and

• all Copilot AI outputs,

or the use of any generative AI other than Copilot AI will result in a failure for this section of Assessment 2.

Summary of Assessment Requirements

This assessment requires students to complete a critical analysis (minimum 2,000 words) based on a supplied scenario. Students must analyse both quantitative and qualitative data, using the templates and material provided.

Key Requirements

• Select one Australian town/city from the provided options:
  Ballarat, Echuca, Hobart, Maryborough, Mt Barker, or Newcastle.

• Use quantitative data sourced from the Bureau of Meteorology (BOM).

• Use qualitative data from TripAdvisor reviews (30 reviews for each of the 3 attractions).

• Perform a structured analysis based on the supplied critical analysis template.

• DO NOT mix data between foldersf each location has its own dataset.

• Once a location is selected, it cannot be changed.

Mandatory Use of Copilot AI for Qualitative Analysis

• Students must use Copilot AI exclusively to conduct thematic analysis of TripAdvisor reviews.

• All prompts and outputs must be saved and submitted.

• Submission must include the Acknowledgement of Generative AI Use document.

• Using any AI tool other than Copilot, or failing to provide required documentation, will result in automatic failure of this part of the assessment.

How the Academic Mentor Guided the Student

The Academic Mentor followed a structured and supportive approach to guide the student through every stage of the assessment.

Understanding Assessment Expectations

The mentor began by helping the student interpret the assessment brief.
This included:

• Clarifying the purpose of the critical analysis.

• Reviewing the marking rubric and expectations.

• Explaining the need to analyse both quantitative and qualitative data.

Outcome:
The student gained full clarity on what the task required and how each section contributed to the final grade.

Selecting the Town/City and Accessing Data Folders

The mentor guided the student in:

• Evaluating the six available cities/towns.

• Choosing one dataset based on interest and clarity of information.

• Ensuring no data from other cities was mixed into the analysis.

Outcome:
The student selected one town/city and organised all files for consistent analysis.

Explaining Quantitative Data Analysis 

The mentor demonstrated how to:

• Interpret temperature, rainfall, and climate patterns.

• Identify trends, deviations, and tourism impacts.

• Use the data to support evidence-based insights.

Outcome:
The student produced a clear, data-driven quantitative analysis aligned with the scenario.

Guiding the Student Through Copilot AI for Qualitative Analysis

The mentor supported the student by:

• Showing how to upload all TripAdvisor reviews into Copilot.

• Teaching how to create effective prompts for thematic analysis.

• Helping structure the analysis using themes, sub-themes, sentiment trends, and visitor expectations.

• Reminding the student to save all prompts and outputs.

Outcome:
The student generated a valid, compliant thematic analysis using Copilot AI, meeting the academic integrity requirements.

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