1.Big Ideas and Learning Outcomes

Big Idea 1: How is Artificial Intelligence Changing Everyday Life?

  • Smart Assistants & Language Models (e.g., Siri, ChatGPT): Help people access information, manage tasks, assist with creative writing, and support programming.
  • Personalized Recommendation Systems (e.g., Netflix, YouTube, Spotify): Analyze user behavior through big data to improve content recommendation accuracy.
  • Smart Homes & Automation (e.g., Robot Vacuums, Smart Locks): Enhance convenience and security in daily life.

Key Considerations:

How does AI improve human life through learning and data analysis? Could increasing reliance on AI bring new challenges?

Big Idea 2: The Role of AI in Key Industries

  • Healthcare: AI-assisted diagnosis (e.g., IBM Watson), intelligent medical imaging analysis, and personalized treatment plans (e.g., genetic analysis).
  • Education: AI-driven personalized learning systems (e.g., Duolingo, Socratic).
  • Transportation: Self-driving cars (e.g., Tesla), smart traffic lights, and AI-optimized public transportation systems.

Key Considerations:

Can AI completely replace human roles in these fields? While improving efficiency, what ethical and social issues might AI introduce?

Learning Outcomes

By the end of this lesson, learners will be able to:

  • Understand the fundamental concepts and core technologies of AI (such as machine learning, neural networks, and natural language processing) and explain their applications in daily life.
  • Analyze how AI impacts various fields, including healthcare, education, and transportation, and provide specific examples.
  • Discuss the pros and cons of AI, including issues related to privacy, employment, and ethical issues, while developing critical thinking skills.
  • Engage in innovative thinking by proposing an AI-based application concept and sharing their ideas in group discussions.

This learning resource will enhance the learning experience through interactive case studies, simulation exercises, and discussion activities, such as:

  • Allowing learners to experience how AI recommendation systems adjust results based on data.
  • Analyzing real-world cases (e.g., Tesla’s autonomous driving accidents) to discuss AI safety.

2.Evidence of Learning & Reference

Artificial intelligence (AI) is transforming daily life by enhancing automation, decision-making, and efficiency. It powers virtual assistants, smart homes, healthcare diagnostics, self-driving cars, and personalized recommendations. AI improves industries like finance, education, and entertainment through data analysis and predictive algorithms. While it boosts convenience and innovation, ethical concerns such as privacy, bias, and job displacement remain challenges. AI continues to evolve, shaping the future of human interactions and technology.

Evidence of Learning: Learning will be demonstrated through various forms of assessment and participation

  • Perform tasks accurately: students will successfully use artificial intelligence tools such as chatbots or machine learning models in practical exercises.
  • Use terminology correctly: learners will use ai-related vocabulary correctly in discussions, written assignments, and presentations.
  • Critical analysis and applications: students will analyze case studies and provide strong supporting arguments for Ethics of artificial intelligence and social impact.
  • Problem solving and innovation: Learners will demonstrate creativity and applied knowledge by proposing ai-driven solutions to industry-specific challenges.
  • Collaboration and communication: participation in panel discussions, debates and presentations will demonstrate the ability to present and defend ideas based on research.

References:

1.Artificial Intelligence and the Future of Teaching and Learning

This report from the U.S. Department of Education discusses the integration of AI in educational settings, emphasizing the importance of minimizing bias in AI systems, promoting fairness, and ensuring that AI tools are explainable and support educatorsโ€™ professional judgment.

U.S. Department of Education. (2023). Artificial Intelligence and the Future of Teaching and Learning. Retrieved from https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf

2.A Scoping Review on How Generative Artificial Intelligence Transforms Assessment in Higher Education

This scoping review investigates the transformative impact of generative AI on assessment practices in higher education, providing insights into the evolving landscape of AI applications in educational assessments.

Zawacki-Richter, O., & Jung, I. (2023). A scoping review on how generative artificial intelligence transforms assessment in higher education. International Journal of Educational Technology in Higher Education, 20(1), 1-27. https://doi.org/10.1186/s41239-024-00468-z

3. Assessments ๏ผˆmisunderstanding and mistakes๏ผ‰

With the continuous development of science and technology, artificial intelligence(AI) has penetrated into our daily lives. From mobile assistants to voice control to intelligent driving. They are around us and affect our lives. However, many people still have some misunderstandings about artificial intelligence and often make some mistakes.

  • Misunderstanding
  • AI is completely objective: AI’s decisions rely on training data. If the person who sets the data is biased, then the data will be biased, and the output of AI may also be biased. Therefore, AI is not absolutely objective as people usually understand. This is very important to understand, because many people will be misled by AI’s conclusions.
  • AI will replace all human jobs: Although AI may replace some repetitive and simple jobs, it is more of a tool to assist humans and help them improve their efficiency, rather than completely replacing human jobs. Many movies are about AI developing emotions and attacking humans to rule the world. This has caused people to misunderstand AI, that it can only simulate human behavior and has no real consciousness and emotions. Currently, AI is in the stage of weak artificial intelligence and does not have autonomous consciousness, so it will not pose a threat to us like in the movies.
  • Mistake

Over-reliance on AI: Although AI can provide convenience and is very accurate, over-reliance on it may cause humans to lose their ability to think and judge independently. We must know that AI is also created by humans, but if people rely on AI instead of thinking and learning independently. AI will not be able to be improved and our own technology and life will not develop and innovate.

AI is changing our lives, but we need to view its capabilities and limitations rationally. By correctly understanding AI and avoiding misunderstandings and mistakes, we can better utilize this technology to promote social progress and development.

4. Learning Activities (Learning Activity Design)

Reasons for Developing Learning Resources

Artificial intelligence is changing our lives, and it involves a wide range of areas that only humans can imagine. There is nothing that artificial intelligence cannot cover. Learning AI can help us better understand and adapt to this rapidly developing world.

The main reasons include:

AI is everywhere, affecting life ๐Ÿ ๐Ÿ“ฑ

AI exists in everyday tools such as intelligent assistants (Siri, ChatGPT), recommendation systems (Netflix, YouTube), and smart homes (robotic vacuum cleaners, smart locks).

Understanding AI can better utilize these technologies and improve efficiency in daily life.

AI provides more career opportunities ๐Ÿ’ผ๐Ÿ“Š

Many industries, such as healthcare, factories, restaurants, and transportation, are using artificial intelligence to improve efficiency and create revenue.

Understanding artificial intelligence can help with future career development and make oneself more competitive.

AI can help solve real-world problems ๐ŸŒ๐Ÿ”ฌ

AI can be used for medical diagnosis, intelligent education, and self-driving technology to help society solve complex problems.

Learning AI can explore how to use technology to create a better world.

Case Study Analysis

Activity content: Learners analyze the operation of AI recommendation systems (such as YouTube or Netflix) and explore their impact on user behavior.

Objective: To understand how AI optimizes user experience through data analysis and discuss data privacy issues.

Simulation Exercise

Activity content: Conduct task testing using AI tools such as ChatGPT or Google Translate, and compare the performance of AI and humans in understanding complex texts or creative writing.

Objective: To explore the capabilities and limitations of AI and understand its applications in the work environment.

Group Discussion

Discussion topic:

Will AI lead to mass unemployment?

How should we regulate AI to ensure fairness?

What is the best application of AI in education?

Objective: To cultivate critical thinking and stimulate in-depth reflection on the ethical and social impact of AI.          

Ethics&AI Governance for the Future of AI

However, with advancements in technology and AIs, it is clear there is a need for stricter regulation and ethical rules to be enforced concerning the progress of its development.

AI Regulation: The EU’s Artificial Intelligence Act seeks to cover the gap in the legal frameworks that deal with AI in an attempt to control its usage and prevent misuse.

Deepfakes and false information: AI generated false content may affect elections, business competition, and even personal reputation.

AI and Privacy Concerns: How do companies like Google and Facebook use AI to process user data? Do people have the right to demand that AI not store their information?

These issues will determine the future direction of AI development and are of particular interest to me.  

Project Plan:

  • Yixuan Lu: Big Idea & Learning Outcome(s) Part 1
  • Minyuan Ye: Evidence of Learning & Reference Part 2
  • Tianxiang Wang: Assessments Part 3
  • Diyuxie: Learning Activities Part 4