TTM109: AI innovation for Travel and Tourism

About Course

This course examines the transformative impact of artificial intelligence (AI) on the travel
and tourism industries, offering students insights into how smart technologies are
reshaping guest experiences, operational efficiency, and marketing strategies. Students
will explore AI applications such as chatbots, predictive analytics, intelligent
recommendation systems, facial recognition, and dynamic pricing. The course also
addresses ethical concerns related to AI, including data privacy, algorithmic bias, and
transparency. Through case studies and project-based learning, students will evaluate
AI tools used in tourism organizations and explore emerging innovations that are
defining the future of smart tourism and hospitality.

Course Content

Module I

Topic 1: Introduction to Artificial Intelligence in Tourism

00:00
LO1: Define Artificial Intelligence and Its Relevance to Travel and Tourism

00:00
LO2: Explain How AI Is Transforming Tourism Services and Experiences

00:00
LO3: Discuss the Opportunities and Challenges of AI Adoption in Tourism

00:00
Topic 2: Machine Learning and Predictive Modeling

00:00
LO1: Describe the Role of Machine Learning in Analyzing Tourist Behaviors

00:00
LO2: Explain Predictive Modeling Techniques for Tourism Demand Forecasting

00:00
LO3: Analyze Case Studies Where Predictive Analytics Improves Tourism Operations

00:00
Topic 3: Chatbots and AI Customer Service

00:00
LO1: Define the Functions of Chatbots and Virtual Assistants in Tourism

00:00
LO2: Explain How Conversational AI Enhances Customer Engagement

00:00
LO3: Evaluate the Effectiveness of AI-Driven Customer Service in Improving Guest Satisfaction

00:00
Quiz I
Topic 4: AI in Destination Management and Marketing

00:00
LO1: Describe AI Applications in Destination Marketing and Promotion

00:00
LO2: Analyze How Intelligent Systems Support Destination Management Decisions

00:00
LO3: Evaluate the Impact of AI on Enhancing Tourist Experience and Destination Branding

00:00
Topic 5: Smart Hotels and Automation

00:00
LO1: Explain the Concept of Smart Hotels and Their Role in Tourism

00:00
LO2: Describe How Automation Improves Guest Services and Operational Efficiency

00:00
LO3: Analyze the Implications of Automation for Hospitality Workforce and Guest Experience

00:00
Topic 6: Facial Recognition and Biometrics

00:00
LO1: Define Facial Recognition and Biometric Tools in the Context of Tourism

00:00
LO2: Explain How Biometric Technologies Streamline Check-Ins and Security

00:00
LO3: Evaluate the Ethical and Privacy Concerns Associated with Biometric Use

00:00
Quiz II
Topic 7: AI for Dynamic Pricing

00:00
LO1: Describe the Use of AI in Setting Dynamic Pricing Strategies

00:00
LO2: Analyze How Predictive Tools Adjust Prices Based on Demand and Customer Segments

00:00
LO3: Evaluate the Benefits and Limitations of Dynamic Pricing in Tourism

00:00
Topic 8: Data Privacy and Ethical AI Use

00:00
LO1: Define Key Ethical Challenges in AI Adoption, Including Privacy and Bias

00:00
LO2: Explain the Importance of Responsible Data Collection and Governance

00:00
LO3: Evaluate Strategies to Ensure Ethical and Transparent AI Practices in Tourism

00:00
Topic 9: Sentiment Analysis and Review Mining

00:00
LO1: Describe Sentiment Analysis and Its Role in Monitoring Customer Feedback

00:00
LO2: Explain How AI Tools Extract Insights from Reviews and Social Media

00:00
LO3: Analyze Case Studies Where Review Mining Improves Service Design and Guest Satisfaction

00:00
Topic 10: Emerging Tools and AI Trends

00:00
LO1: Summarize Emerging AI Technologies Relevant to Tourism and Travel

00:00
LO2: Discuss Future Trends and Their Potential Impact on the Industry

00:00
LO3: Evaluate the Readiness of Tourism Businesses to Adopt New AI Innovations

00:00
Topic 11: Final Exam Review

00:00
LO1: Summarize Core AI Applications, Tools, and Ethical Considerations in Tourism

00:00
LO2: Analyze Case Studies to Identify Successes and Failures in AI Adoption

00:00
LO3: Apply Knowledge from the Course to Propose AI-Based Solutions for Tourism Scenarios

00:00

About Course

Course Content

Module I

Topic 1: Introduction to Artificial Intelligence in Tourism

LO1: Define Artificial Intelligence and Its Relevance to Travel and Tourism

LO2: Explain How AI Is Transforming Tourism Services and Experiences

LO3: Discuss the Opportunities and Challenges of AI Adoption in Tourism

Topic 2: Machine Learning and Predictive Modeling

LO1: Describe the Role of Machine Learning in Analyzing Tourist Behaviors

LO2: Explain Predictive Modeling Techniques for Tourism Demand Forecasting

LO3: Analyze Case Studies Where Predictive Analytics Improves Tourism Operations

Topic 3: Chatbots and AI Customer Service

LO1: Define the Functions of Chatbots and Virtual Assistants in Tourism

LO2: Explain How Conversational AI Enhances Customer Engagement

LO3: Evaluate the Effectiveness of AI-Driven Customer Service in Improving Guest Satisfaction

Quiz I

Topic 4: AI in Destination Management and Marketing

LO1: Describe AI Applications in Destination Marketing and Promotion

LO2: Analyze How Intelligent Systems Support Destination Management Decisions

LO3: Evaluate the Impact of AI on Enhancing Tourist Experience and Destination Branding

Topic 5: Smart Hotels and Automation

LO1: Explain the Concept of Smart Hotels and Their Role in Tourism

LO2: Describe How Automation Improves Guest Services and Operational Efficiency

LO3: Analyze the Implications of Automation for Hospitality Workforce and Guest Experience

Topic 6: Facial Recognition and Biometrics

LO1: Define Facial Recognition and Biometric Tools in the Context of Tourism

LO2: Explain How Biometric Technologies Streamline Check-Ins and Security

LO3: Evaluate the Ethical and Privacy Concerns Associated with Biometric Use

Quiz II

Topic 7: AI for Dynamic Pricing

LO1: Describe the Use of AI in Setting Dynamic Pricing Strategies

LO2: Analyze How Predictive Tools Adjust Prices Based on Demand and Customer Segments

LO3: Evaluate the Benefits and Limitations of Dynamic Pricing in Tourism

Topic 8: Data Privacy and Ethical AI Use

LO1: Define Key Ethical Challenges in AI Adoption, Including Privacy and Bias

LO2: Explain the Importance of Responsible Data Collection and Governance

LO3: Evaluate Strategies to Ensure Ethical and Transparent AI Practices in Tourism

Topic 9: Sentiment Analysis and Review Mining

LO1: Describe Sentiment Analysis and Its Role in Monitoring Customer Feedback

LO2: Explain How AI Tools Extract Insights from Reviews and Social Media

LO3: Analyze Case Studies Where Review Mining Improves Service Design and Guest Satisfaction

Topic 10: Emerging Tools and AI Trends

LO1: Summarize Emerging AI Technologies Relevant to Tourism and Travel

LO2: Discuss Future Trends and Their Potential Impact on the Industry

LO3: Evaluate the Readiness of Tourism Businesses to Adopt New AI Innovations

Topic 11: Final Exam Review

LO1: Summarize Core AI Applications, Tools, and Ethical Considerations in Tourism

LO2: Analyze Case Studies to Identify Successes and Failures in AI Adoption

LO3: Apply Knowledge from the Course to Propose AI-Based Solutions for Tourism Scenarios

Final Exam

Final Exam

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