Part 2

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 educators’ 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

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