Material Detail

Description: Introductory tutorial that covers AI fundamentals, key concepts, applications and ethical considerations. Overview: Not just an introductory tutorial, but a useful resource for students, educators or professionals who aim to get more basic knowledge about AI or Machine Learning. Type of material: It's a teaching tutorial video. Also, it can be referred as link to another material or a teacher's guide. Technical requirements: Processor: minimum 1GHz, RAM: 2GB minimum, have an available operative system such as Windows, MacOs or Linux, a newer version is recommended. Of course, you will need a computer, laptop, or just a phone. Learning goals: Distinguish AI from ML, identify historial milestones, explain concerns in AI, and understand how does the AI applications work. Recommended use: Orientated for AI newbies, discussions or future AI development. Target Student Population: Vocational learners, adults, faculties or undergraduates. Prerequisite knowledge: Basic digital literacy, high school math and general tech awareness. Evaluations and Observations: Quality of Content: The knowledge is accurate and logical, but it may lack citations or references, and the artificial intelligence that is being used by the author may be obsolete. Potential Effectiveness: It's an excellent engagement starter, adaptable across disciplines and promotes critical thinking. However, it may need an instructor mediation for depth studying. Ease of Use: It's intuitive and has a mobile-friendly formatting. However, the content may be dense, and there's no navigation aids.