AI in Research and Education Sector Notes
Education
- Education transmits knowledge, skills, critical thinking, creativity, and character.
- It is considered a key to success.
Evolution of Education
- Education has evolved from lectures and memorization (1.0) to knowledge-producing (3.0) and innovative-producing education (4.0).
- Key advancements include the steam engine (1780), the computer (1970), and the internet (1990-2000).
Leveraging Technology
- Technology optimizes operations, creates efficiencies, and maximizes revenue.
- Key leverages include efficiency, effectiveness, and agility.
Mindsets
- Fixed mindset: Avoids challenges, refuses criticism, focuses on proving oneself, and can't accept failures.
- Growth mindset: Views challenges as opportunities, embraces feedback, focuses on the process, and learns from failures. Carol Dweck coined the term.
Stoicism
- An ancient Greek philosophy emphasizing virtue, knowledge, and harmony with divine reason.
- It promotes indifference to fortune, pleasure, and pain. Patience is key to learning.
Anxiety
- Stoics propose developing the belief that nothing can truly harm you. Control your mind over external events.
- Learning outside dedicated environments, arising from individual/group activities and interests.
- Includes workplace learning opportunities.
Retention
- Retention of new information decreases significantly over time without repetition.
- Examples: Immediately after learning (100%), 20 minutes after (60%), 1 day after (30%), 1 week after (25%).
Learning Curves
- Straight line: Uniform progress.
- Positively accelerated: Slow start, then increases.
- Negatively accelerated: High start, then slows down.
Learning Plateau
- A flat, horizontal stretch in the learning curve, representing a stationary stage.
- Caused by lack of motivation, task complexity, attention, maturity, or poor health.
Approaches to Teaching
- Pedagogy: Children learning.
- Andragogy: Adult learning.
- Heutagogy: Self-directed learning.
Massive Open Online Courses (MOOCs)
- MOOCs are predicted to grow to USD 143.4 Billion by 2032 with a CAGR of 25.3%. Examples include Coursera, edX, and Udacity.
Learning Types
- Face-to-face, online, blended learning options are available.
Top Countries in Education
- United States, United Kingdom, Australia, Germany, and Canada are among the top-ranked.
AI in Science
- AI can accelerate scientific breakthroughs, such as designing proteins.
- AI systems like Gemini 2.0 can act as virtual scientific collaborators to generate hypotheses and research proposals.
AI Co-Scientist
- Mirroring the reasoning process of scientific method; uncovers new knowledge and hypotheses.
- The scientist interacts with the system by specifying a research goal in natural language.
Future Trends
- Petrol stations, car repair shops, and related industries may disappear with the rise of electric cars.
- Electric car engines have far fewer parts and are often sold with lifetime warranties.
- Industries like Kodak and Polaroid show how quickly technology can disrupt established businesses.
AI Impact
- AI, health, self-driving cars, electric cars, education, 3D printing, and agriculture are rapidly evolving.
- AI systems like IBM's Watson can provide legal advice and aid in medical diagnoses with high accuracy.
- Self-driving cars will change city landscapes and reduce car accidents.
Fourth Industrial Revolution
- Software will continue to impact traditional industries.
Disruptive Times
- The COVID-19 pandemic has brought about changes in learning.
Changing Nature of Learning
- Rise of automation, importance of soft skills, need for lifelong learning, and the rise of the Gig Economy.
Gig Economy
- Flexible, temporary, or freelance jobs connected through online platforms.
Virtual & Augmented Reality
- VR: Immersive virtual world experience using 3D displays and pose tracking.
- AR: Enhanced real-world environment through digital elements and sensory stimuli.
Generative AI
- AI tools for research, generative art, and productivity are continuously increasing.
- Unimodal (ChatGPT) and cross-modal (Stable Diffusion 2.1) models.
Contextual Prompt Statement
- Guiding AI models to provide helpful, respectful, and non-offensive responses.
Prompt Engineering
- Involves defining the task, creating detailed prompts, identifying inputs, and refining prompts to optimize AI model interaction.
Question Refinement
- Improving questions to emphasize healthy eating habits and balanced views.
Cognitive Verifier
- Structured approach to improve accuracy and depth in AI responses.
Improving Questions
- Focus on the problem, target audience, value creation, effort, and desired outcome.
Audience Persona
- Tailoring prompts to specific personas to get better responses.
- Explain X to me, assuming I am Persona Y.
Facilitating Learning
- Leaders should strive to improve and adapt
- Important topics include learning curves and attention spans