Artificial Intelligence is one of the emergences of new technology and a subset of Machine learning. This course will explore how Artificial intelligence, as an emergent new technology, has led to entrepreneurial opportunities in the information technology industry.
Objectives
These lessons aim to ensure the student understands the Artificial intelligence concepts
The students will also learn how to think critically and analyze how computer scientists design computers to act more like us.
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Lesson Plan
Week 1- Introduction to Machine learning
Week 2-Supervised learning
Week 3-Natural language processing
Week 4-Computer vision
Week 5- Experiments and Execution of what has been learned so far.
Week6- Tests
Assessment and evaluation
Students' critical thinking will be evaluated based on the test scores. After every test, students will be assessed if their overall logical thinking on Artificial intelligence has improved.
This set of instructions are targeting secondary students. Since the high school curriculum is performance based, the educators can teach challenging high-level courses for college-bound students. If the set of instructions were aimed at middle school students, they would have been made a little bit easier since, at this stage, according to Piaget’s theory of cognitive development, students are still in their concrete operational thinking stage. The main difference between their design strategies is that there is more of an implemented strategic design in secondary school students compared to that applied in middle school students. In secondary, they are taught to assess, learn, understand, and execute. In secondary school, the students are already considered adults and in their formal operational thinking, hence the complexity of the instructional design.
