Assessment and exam practice.

Try this with Tourism

1. Check the task format, time limit and permitted materials with your school.
2. Start with one timed section or task and record where you spent the most time.
3. Review errors before attempting another section. Separate missing knowledge from timing problems.

View Tourism resources on ATARMAXXING ↗

Practice paper focus areas

• Exam 1 — Part A Q1 (data): constructed survey comparing two international markets to a regional destination, with percentage calculations; Part A: sectors collaborating on a food-and-wine package; Part A: Plog's model applied to remote-island travellers
• Exam 2 — Part A Q1 (data): occupancy and visitor-spend table for a fictional city festival week; Part A: multiplier effect and leakage of a motorsport event; Part A: Doxey's Irridex in a fictional surf town facing campervan visitors
• Exam 3 — Part A Q1 (data): Gen Z travel survey with percentage-point comparisons; Part A: market segmentation for a regional farm-stay campaign; Part A: cultural commodification at a fictional island festival
• Exam 4 — Part A Q1 (data): seasonal visitor-arrivals graph described as a table, with peak/off-peak calculations; Part A: definitions of tourist applied to a weekly community fun-run; Part A: employment effects of cancelled cruise visits on a fictional Pacific port
• Exam 5 — Part A Q1 (data): exchange-rate and travel-budget table for an outbound student trip; Part A: push factors of regenerative travellers; Part A: interest-rate rise and a fictional safari economy
• Exam 6 — Part A Q1 (data): visitor-origin table for a regional wine festival with share-of-total calculations; Part A: sectors collaborating on festival glamping; Part A: Butler rejuvenation through new accommodation
• Exam 7 — Part A Q1 (data): constructed comparison of day-trippers and overnight visitors to a heritage town (average spend, length of stay); Part A: role of a regional tourism organisation; Part A: staged authenticity at heritage re-enactments
• Exam 8 — Part A Q1 (data): sports-event ticketing data with interstate share and hotel occupancy; Part A: describe economic benefits without using the multiplier model; Part A: government strategies behind a sporting round
• Exam 9 — Part A Q1 (data): volunteer-tourism survey (age, gender, income segments); Part A: post-pandemic travel trends and reconnection with nature; Part A: positive sociocultural impacts of volunteer tourism
• Exam 10 — Part A Q1 (data): bed-night and occupancy calculations for a fictional island in shoulder season; Part A: technology (apps, booking platforms) changing how tourists plan; Part A: short-term rentals and host-community irritation (Doxey)
• Exam 11 — Part A Q1 (data): visitor numbers to a national park over ten years with percentage change; Part A: Butler Sequence decline evidence from infrastructure disrepair; Part A: environmental and sociocultural strategies to revive visitation
• Exam 12 — Part A Q1 (data): two-market comparison of accommodation preferences (rented houses versus hotels); Part A: impacts of declining regional visitation on accommodation and hospitality; Part A: differences between advertising campaigns for two markets
• Exam 13 — Part A Q1 (data): carbon emissions per trip by transport mode (constructed table) with calculations; Part A: technology and transport changing travel time and distance; Part A: slow travel as a niche product
• Exam 14 — Part A Q1 (data): Indigenous cultural tour bookings by visitor origin (constructed); Part A: Indigenous concepts of country in tour interpretation; Part A: role of government and land councils in Indigenous tourism
• Exam 15 — Part A Q1 (data): conference (MICE) delegate spend and length of stay table; Part A: business tourism and the convention centre; Part A: sectors collaborating for a conference package
• Exam 16 — Part A Q1 (data): constructed visitor-satisfaction survey for a wine region with percentages; Part A: wine tourism as special interest tourism; Part A: demonstration effect and changing local culture
• Exam 17 — Part A Q1 (data): international arrivals to a fictional mountain kingdom with high-value low-volume tariff calculations; Part A: a daily sustainable-development fee as government policy; Part A: allocentric trekkers and remote destinations
• Exam 18 — Part A Q1 (data): theme-park attendance and wait-time data with averages; Part A: mass tourism and psychocentric visitors; Part A: technology (virtual queues, AR) in attractions
• Exam 19 — Part A Q1 (data): backpacker hostel survey (nationality, length of stay, spend) with calculations; Part A: definitions of tourist for long-stay working travellers; Part A: hosts' attitudes to backpackers in a farming town
• Exam 20 — Part A Q1 (data): visitor numbers and per-visitor spend at a fictional historic gaol before and after a night-tour launch; Part A: dark tourism motivations; Part A: interpretation and authenticity at heritage sites