Õpilaste avakoolitus 2025 (täispikk)

Name: Õpilaste avakoolitus 2025 (täispikk)
Uploaded: 2025-12-22T12:00:57.000Z
Duration: 3 h 58 min 29 s

Introduction to AI in Education

Opening Remarks by Mihkel Marius Tih Hüppest

Mihkel introduces himself and expresses excitement about the students attending the training session.

He highlights the significance of being in school during a transformative period, emphasizing that while many things remain unchanged, one major aspect is artificial intelligence (AI).

Understanding Artificial Intelligence

The speaker aims to help students understand what AI is and how to use it wisely for their benefit.

He emphasizes the importance of recognizing both opportunities and challenges associated with AI, noting that understanding these can help navigate its complexities.

Goals of the Training Session

Three main hopes for participants:

Better comprehension of AI's nature and capabilities.

Awareness of potential benefits and problems related to AI usage.

Encouragement to critically evaluate their own thinking processes.

The Role of Technology in Learning

Introduction by President Alar Karis

President Karis discusses common frustrations with AI, stressing that errors often stem from user misapplication rather than flaws in the technology itself.

He explains that the new version of AI available in schools will not only provide answers but also ask questions, enhancing learning through inquiry.

Utilizing AI Effectively

Emphasis on using AI as a tool to support personal thinking rather than replacing it; traditional learning methods still hold value.

Students are encouraged to make informed choices about their future by understanding both themselves and technological strengths.

Collaboration with Youth Organizations

Partnership with Debate Society

The Estonian Debate Society has been active for over 30 years promoting argumentation skills within society.

Objectives of Collaboration

Provide youth opportunities for engaging in debates as extracurricular activities or competitions.

Train teachers and students to develop critical thinking skills within educational systems.

Importance of Media Literacy

Addressing new challenges brought by digital age information overload; fostering critical thinking is essential for societal health and democracy.

Aim to cultivate a generation capable of making informed decisions amidst rapid information flow.

Conclusion: Preparing for Future Challenges

Final Thoughts from Karler Erkirss

The focus remains on equipping students with tools necessary for navigating an increasingly complex world where critical thinking and argumentation are vital.

Understanding AI and Its Evolution

Introduction to Student Representation

In 1998, schools across Estonia united to form a student representation body aimed at advocating for youth interests at the national level.

The initiative focuses on developing students' skills to enhance school democracy through collaborative media content creation and workshops.

Empowering Youth Voices

Petrik emphasizes that the organization represents over 60 youth associations and around 23,000 young people, shaping youth policy and creating an environment for active participation.

The goal is to ensure that young individuals are not sidelined in driving changes both within schools and beyond.

Understanding Artificial Intelligence (AI)

Kristo introduces the topic of AI, highlighting its rapid development and potential implications for human roles in society.

He provides historical context by discussing early AI developments, such as Frank Rosenblatt's Perceptron from 1958, which was intended to mimic human brain functions.

Historical Context of AI Development

Early expectations of AI included machines capable of walking and talking; however, initial attempts fell short due to limitations in problem-solving capabilities.

The 1980s saw efforts towards expert systems designed to replicate human expertise in specific fields like medicine but faced challenges in practical application.

Waves of Enthusiasm and Disappointment

The evolution of AI has been characterized by cycles of excitement followed by disillusionment when technology failed to meet high expectations.

Despite fears about obsolescence due to AI advancements, humans have consistently adapted alongside technological progress.

Defining Artificial Intelligence

Kristo clarifies what constitutes AI by presenting examples: self-driving car software, recommendation algorithms, and chatbots like ChatGPT—all fall under the umbrella of artificial intelligence.

He explains that large language models are trained on vast amounts of text data but emphasizes that they do not "think" or "know" like humans; they predict responses based on patterns.

Limitations of Current AI Models

While powerful, current AIs can make simple errors due to their reliance on statistical predictions rather than true understanding or reasoning processes.

This distinction highlights the difference between computational capability and human-like cognition.

Understanding AI Responses and Limitations

The Nature of AI Responses

AI often provides the most common answer, with 99% of responses being a specific value (e.g., four), but this can lead to inaccuracies due to biases in data.

Training an AI involves feeding it large datasets, which it uses to calculate probabilities and predict outcomes based on averages.

A simplified analogy is used where human height correlates with shoe size; the AI attempts to find a mathematical line that best predicts this relationship.

Predictive Modeling in AI

The model identifies trends (e.g., taller people generally have larger shoe sizes) but acknowledges that not all individuals fit these predictions perfectly.

The training process involves iterative adjustments until the model finds the best predictive function, represented mathematically.

Complexity of Modern AI

Contemporary AIs operate with thousands or millions of variables, making their processes more complex than simple two-variable models.

Despite complexity, the fundamental principle remains: finding a mathematical formula for predicting likely outcomes based on input data.

Issues with Accuracy and Bias

One major issue is that AIs may provide statistically probable answers rather than factually correct ones; for example, if "2 plus 2" is misrepresented in training data as equaling five.

This highlights the need for verification when dealing with factual questions posed to AIs.

Real-world Implications of AI Predictions

In practical applications like clothing sizes, AIs may only cater to average body types, leading to ill-fitting products for many individuals.

Similarly, when tasked with writing essays or generating content, AIs produce average outputs rather than innovative or tailored responses.

Hallucination and Misinformation

Another significant problem is "hallucination," where an AI generates false information or references non-existent sources while appearing credible.

This behavior mirrors students who guess answers instead of leaving them blank when unsure.

Addressing Biases and Limitations

Bias in training data can lead to skewed representations; for instance, if most engineers depicted are male, it perpetuates gender stereotypes in generated images.

To combat bias and misinformation from AIs, users should engage critically and seek diverse perspectives beyond what the AI presents.

Conclusion: Navigating AI's Challenges

While acknowledging its limitations—such as providing average responses or hallucinating—AI can still be beneficial if users remain aware of these issues.

The Importance of Data in Language Models

The Role of Training Data

Teharu emphasizes that the effectiveness of language models improves with more training data, noting that English has a significant advantage due to the abundance of online texts compared to Estonian.

The transition from books to the internet marked a shift in information dissemination, and now we are experiencing a technological revolution where information flows through language models.

Challenges for the Estonian Language

There is a pressing need for Estonian language support in technology; otherwise, users may abandon it for languages like English.

Current challenges include errors made by AI when processing Estonian, such as hallucinating words or producing unnatural speech patterns.

Improving AI's Understanding of Estonian

The lack of extensive training data leads to poorer responses from AI in smaller languages like Estonian. This disparity results in people defaulting to using English.

To improve AI's proficiency in Estonian, there is an urgent need for more quality training data generated by users.

User Contributions and Responsibilities

Individuals can contribute data simply by engaging on social media platforms; every comment or post adds valuable information.

Quality content creation is crucial; if poor-quality data is fed into AI systems, they will only learn and replicate existing mistakes.

Engaging with AI Effectively

Communicating with AI in Estonian helps it learn better and signals developers about user interest in supporting the language.

Increased usage of Estonian prompts companies to develop their products further in this language, enhancing its viability.

The Future Role of Humans with AI

Human Creativity vs. Machine Capability

As AI becomes capable of performing various tasks autonomously, questions arise about human relevance and skill retention.

Despite advancements, humans must provide direction and creativity since machines do not possess intrinsic desires or intentions.

Examples from Media Production

Current capabilities allow for generating realistic video content without traditional resources like actors or studios; however, someone must initiate these creative processes.

Competition and Content Quality

With easier content creation comes increased competition; thus, creators must ensure their work stands out through quality and innovation.

Conclusion: Embracing Opportunities

While AI offers vast possibilities, individuals must actively engage with these tools creatively to harness their full potential effectively.

Understanding Artificial Intelligence and Its Implications

The Importance of Knowledge in AI Utilization

Effective writing requires knowledge; without it, one risks producing inaccurate or incomplete information.

Engaging with AI should involve personal exploration and experimentation to foster learning and understanding.

The course aims to help students understand AI models, their differences from human intelligence, and ethical considerations.

Course Overview and Objectives

Students will learn how to create an AI project that can be linked to various fields such as psychology or art.

Encouragement is given for students interested in coding their own AI projects or participating in competitions like the Estonian AI Olympiad.

Critical Thinking Questions on AI

Participants are prompted to consider whether AI thinks or predicts, how knowledge is inputted into AI systems, and common issues with AI responses.

A distinction is made between human brains and AI; the latter functions more like a mathematical function rather than possessing true thought.

Understanding Limitations of Chatbots

Chatbots predict text based on learned patterns from extensive datasets but do not possess genuine understanding.

Discussion shifts towards social media's impact on critical thinking and learning processes related to artificial intelligence.

The Challenge of Information Overload

The Evolution of Information Consumption

Observations are made about the rapid changes in platforms like TikTok and Instagram due to advancements in artificial intelligence.

The overwhelming amount of information available today contrasts sharply with past difficulties in accessing news and data.

Consequences of Information Abundance

Modern society faces an abundance of information leading to challenges in discerning truth from falsehood.

With easy access to vast amounts of content generated by both humans and machines, distinguishing credible sources becomes increasingly difficult.

Ethical Concerns Regarding Misinformation

Deepfakes exemplify the potential dangers posed by advanced technology, blurring lines between reality and fabrication.

Historical examples highlight how misinformation can spread rapidly through digital channels during crises.

Navigating Truth in a Complex Landscape

There’s a growing concern over "truth decay," where individuals struggle to differentiate fact from opinion amidst overwhelming information.

Recent educational assessments reveal that many young people lack skills necessary for evaluating the credibility of information sources.

Understanding Confirmation Bias and Information Overload

The Nature of Information Evaluation

The speaker questions the ability to discern between opinions and factual information, highlighting that often we evaluate information based on feelings rather than objective truth.

This tendency is identified as confirmation bias, where individuals seek validation for their existing beliefs, which complicates the assessment of new information.

Social media algorithms exacerbate this issue by curating content that aligns with users' past behaviors, reinforcing existing beliefs and creating echo chambers.

Consequences of Echo Chambers

The creation of echo chambers leads to social isolation and an inability to engage in constructive dialogue across differing viewpoints.

Increased polarization can result in violence and a breakdown in political discourse, as people become entrenched in their own perspectives.

Challenges of Information Overload

With an overwhelming amount of information available, distinguishing between important facts and noise becomes increasingly difficult for the brain.

As cognitive fatigue sets in from processing excessive data, individuals may resort to simplistic thinking or entertainment over critical analysis.

The Role of Algorithms in Attention Management

Users often find themselves believing information simply because it was presented by a credible source on platforms like TikTok or YouTube without personal verification.

Content designed to attract attention (clickbait) manipulates user engagement for profit, leading to passive consumption rather than active evaluation.

Long-term Effects on Cognitive Abilities

Continuous exposure to low-quality content can diminish one's ability to focus and understand complex issues over time.

While immediate gratification from entertaining content is appealing, it ultimately harms cognitive health and critical thinking skills.

Strategies for Critical Thinking

Importance of Critical Thinking Skills

To navigate today's complex information landscape effectively, developing critical thinking skills is essential for discerning truth from misinformation.

Initiating Critical Thought Processes

A key question that prompts critical thinking is "Why do I believe this?" which encourages deeper reflection on personal beliefs and assumptions.

Utilizing Argumentation Models

Employing a simple model based on four 'why' questions can help transition from superficial thoughts to a more profound understanding of arguments presented.

The Logic Behind Daily Almond Consumption for Weight Loss

Understanding the Claim

The video suggests that daily almond consumption aids in weight loss, prompting questions about the logic and evidence behind this claim.

A causal explanation is provided: almonds are rich in unsaturated fats, which raise good cholesterol, protect the heart, and reduce hunger.

Due to their fiber and protein content, almonds promote a feeling of fullness, making them ideal snacks for appetite control and weight loss.

Evidence Supporting the Claim

Proof should validate claims from external sources like studies; however, it must be reliable.

Lack of evidence does not automatically render a claim false; it simply means it's a hypothesis rather than a fact.

Viewers are encouraged to research opposing studies before accepting claims blindly.

Importance of Conclusions

The significance of the claim is questioned: What impact does it have on individuals or society?

It's suggested that creators may prioritize clicks over genuine information dissemination when producing such videos.

Critical Thinking in Information Consumption

In an age flooded with information, clarity comes from critical thinking rather than just data accumulation.

Viewers are urged to remember a four-part argument model and ask "why" when consuming information.

Navigating Social Media Content with Critical Thinking

Addressing Social Media Challenges

The rapid flow of personalized information can lead to confusion; critical thinking is essential for navigation.

Key Questions for Evaluation

Four key questions are proposed:

Why do I believe what I believe?

Why does this seem logical?

Why is this actually true?

Why should anyone care?

Learning in the Age of Artificial Intelligence

Introduction by Jaan Aru

Jaan Aru introduces himself as a researcher at Tartu University focusing on artificial intelligence (AI).

Student Engagement with AI Tools

He shares experiences where students use AI tools ineffectively by copying responses without understanding them.

Effective Use of AI in Education

Some students effectively engage with AI by asking clarifying questions instead of merely seeking answers.

Understanding the Role of Artificial Intelligence in Learning

The Misuse of AI in Education

The speaker emphasizes that while some individuals use AI tools, it is crucial to understand why this may not be the best approach for learning.

Acknowledges that many students may not fully grasp what learning truly entails, equating it incorrectly with merely receiving grades or submitting homework.

Highlights the importance of personal effort in learning, comparing it to physical training where one must actively engage rather than rely on machines.

The Consequences of Over-Reliance on AI

Discusses how constant reliance on AI can hinder personal development and mental growth, similar to how using a robot for workouts prevents physical improvement.

Points out that if students depend solely on AI for tasks, they risk stagnation in their cognitive abilities and understanding.

Understanding Learning as Neural Connections

Clarifies misconceptions about brain function by stating that intelligence does not correlate with brain size; instead, it's about forming connections between neurons.

Uses an analogy involving dots (neurons) on a shirt to illustrate how learning involves creating connections between these neurons over time.

The Importance of Active Engagement

Emphasizes that true development requires active participation in tasks rather than letting AI handle everything.

Encourages self-reflection regarding the desire to acquire new skills and make informed decisions independently from AI assistance.

Freedom vs. Dependence on Technology

Raises concerns about future dependence on AI for decision-making, suggesting that such reliance could lead to a loss of personal freedom.

Argues against allowing technology to dictate life choices, advocating for maintaining autonomy in decision-making processes.

Navigating Life's Labyrinth: A Metaphor for Personal Growth

Introduces a labyrinth metaphor to illustrate how relying solely on AI can blind individuals to their own paths and choices.

Concludes that exploring one's own experiences is essential for understanding life’s complexities and making informed decisions without external guidance.

Navigating Life's Labyrinth: The Role of AI in Learning

Understanding Decision-Making and Learning

Life is likened to a labyrinth where personal decision-making helps us remember paths for future reference, enhancing our ability to navigate challenges.

In school, we explore various parts of this labyrinth, which may seem irrelevant at times but are essential for understanding how to make decisions.

True freedom comes from actively navigating the labyrinth ourselves; while AI can assist, it should not replace our own efforts in learning.

The Analogy of AI as a Supportive Tool

The speaker uses a burger analogy to illustrate that while AI can help with tasks (like making the middle part of a burger), we must always engage in the process ourselves.

Emphasizing the importance of personal involvement, the speaker suggests trying tasks independently before seeking assistance from AI tools.

Responsibility for outcomes lies with us; we should be active participants rather than passive recipients when using AI.

Reframing Our Relationship with AI

Instead of viewing AI as a servant that does tasks for us, it should be seen as a "genius personal trainer" that guides and motivates our learning journey.

A personal trainer supports your growth without doing the work for you; similarly, effective use of AI involves collaboration rather than delegation.

Embracing Challenges in Learning

Growth occurs when we face challenges; thus, engaging with difficult tasks is crucial for brain development and understanding.

Those who seek to develop their minds will benefit most from using AI tools effectively.

Key Takeaways on Learning with AI

The essence of learning today lies in how we approach problems and utilize tools like AI. Our input determines the quality of output from these technologies.

Regardless of how advanced technology becomes, critical thinking and effort remain paramount in achieving meaningful learning outcomes.

Practical Applications and Future Insights

Transitioning to Practical Tips

After discussing theoretical aspects, practical tips on utilizing chatbots effectively will be shared shortly.

Importance of Technology Partnerships

Collaboration with technology partners enhances educational experiences by providing insights into leveraging tools effectively for better learning outcomes.

This structured summary captures key concepts discussed within the transcript while linking back to specific timestamps for further exploration.

AI in Education: Transforming Learning Experiences

The Role of AI in Student Learning

AI tools provide students with the ability to ask questions, explore topics, and actively engage in their learning process. This fosters creativity and helps build tangible ideas.

Students are encouraged to stay critical and curious throughout their learning journey, reflecting on the information they receive from AI tools.

Vision for Personalized Learning

A future where every student has a personalized tutor powered by AI is now becoming a reality, enhancing creativity and problem-solving skills.

The speaker reflects on past educational experiences lacking effective technological support, emphasizing the value of modern AI tools that assist with homework and creative tasks.

Embracing Opportunities with AI

Today's students have unprecedented access to resources that inspire deeper exploration of various subjects and real-world challenges.

Students are urged to be curious, brave, and responsible when using AI tools while actively shaping their own learning journeys.

Effective Use of ChatGPT

The speaker introduces ChatGPT as an essential tool for students, sharing tips on how to use it effectively for academic purposes.

Understanding that the quality of responses from AI depends heavily on the clarity of user input; clear prompts lead to better outputs.

Crafting Effective Prompts

Good prompt writing is likened to making a smoothie; more ingredients (details in prompts) yield richer results compared to vague requests.

A well-crafted prompt should include four key elements: task description, context, role of the assistant, and desired response format.

Continuous Improvement in Prompt Writing

Writing effective prompts is a skill that requires practice; persistence will lead to improved interactions with AI tools over time.

Practical Tips for Effective Chat Usage

Importance of Context in Conversations

Emphasizes the need to consider the purpose and benefits of actions taken during conversations, suggesting that becoming skilled makes life easier and leads to learning new things.

Starting Fresh Conversations

Discusses the value of initiating a new conversation from a "blank page" rather than asking all questions in one ongoing chat, as memory can fade over time.

Notes that while there is a memory function available, it may not be reliable for specific topics; thus, starting new chats for different subjects is advisable.

Providing Necessary Information

Advises users to provide relevant information when starting a new topic in chat to avoid confusion between unrelated subjects.

Utilizing Files and Images

Introduces the ability to upload handwritten notes or documents into chat for assistance with corrections or explanations on specific content.

Mentions that files can be dragged directly into the chat window, making it easy to share resources.

Advanced Features of Chat Tools

Highlights various tools within the chat interface beyond just text input, including access to premium features through user accounts.

Internet Search Functionality

Describes how the internet search feature allows quick access to up-to-date information but warns about potential inaccuracies (hallucinations).

Voice Recognition and Synthesis

Demonstrates voice interaction capabilities where users can engage in discussions without being tied to screens, promoting outdoor learning experiences.

Collaborative Writing Tools

Introduces a shared canvas tool for collaborative writing where users can edit text without regenerating entire sections.

Custom GPT Creation

Explains how users can create specialized GPT models tailored for specific tasks like teaching or coding assistance, enhancing efficiency by reducing repetitive instructions.

Continuous Improvement of Tools

Encourages experimentation with these tools as they evolve rapidly; what works today may change tomorrow.

Final Thoughts on Experimentation

Stresses that personal experience with these tools is crucial; what works for one person may not work for another.

Understanding AI Responses and Their Implications

The Nature of AI Responses

Chatbots can respond confidently, but this does not guarantee accuracy; they may present false information as absolute truth.

AI can hallucinate by generating plausible-sounding sources or even inventing non-existent people, emphasizing the need for critical evaluation of responses.

Users must take responsibility for the information provided by AI, as it does not think independently; errors in copying responses can lead to personal accountability.

Maximizing AI Utility

To get the best results from chatbots, users should ask clear and precise questions; context helps the AI understand better.

Critical thinking is essential to discern when an answer is true or false, making it a valuable skill in using AI tools effectively.

Introducing a New Learning Application

Overview of the Learning Tool

Tuuli introduces herself as a student who values learning and acknowledges that education often involves complex topics that require assistance.

The application aims to provide support during challenging moments when students feel overwhelmed and need guidance without immediate access to teachers.

Enhancing Understanding Through Technology

The tool is designed to deepen understanding rather than replace traditional teaching methods; it encourages exploration beyond classroom discussions.

Students will soon receive accounts through their schools, allowing them access to this innovative educational resource.

Features and Privacy of the Learning Application

Unique Aspects of the Application

This version of ChatGPT offers enhanced capabilities compared to standard free versions, providing more accurate answers and additional features.

The application supports active learning by guiding users toward finding answers themselves instead of simply providing solutions.

Privacy Considerations

Conversations within the app are private; neither teachers nor OpenAI have access to individual chats, ensuring user confidentiality while improving service anonymously.

User Interaction with the Learning Tool

Engaging with the Application

Users are encouraged to interact with the chatbot in their native language (Estonian), which enhances comfort and comprehension during learning sessions.

Practical Applications

Initial interactions demonstrate how users can ask questions about various subjects, showcasing its functionality in real-time problem-solving scenarios.

Learning Through Engagement: The Role of Educational Applications

The Importance of Active Learning

The speaker emphasizes the need to pause and reflect on learning methods, suggesting that small, incremental efforts in educational applications enhance effectiveness.

A common misconception is that traditional chat interfaces provide more information; however, this leads to an illusion of understanding without true retention.

Genuine learning occurs when individuals actively engage with material rather than passively absorbing it; educational apps aim to facilitate this deeper understanding.

Interactive Learning Examples

When discussing photosynthesis, the application first assesses prior knowledge before providing explanations, ensuring relevance and comprehension.

The app avoids overwhelming users with lengthy texts by prompting them for clarifications and offering relatable examples instead.

For Newton's third law, the app provides a practical example (pushing against a wall), illustrating concepts through everyday experiences.

Error Correction as a Learning Tool

When users make mistakes, the app gently corrects them while encouraging self-discovery of errors rather than simply providing answers.

This approach fosters a positive learning environment where making mistakes is seen as an essential part of the learning process.

Simplified Explanations and Gradual Learning

Unlike traditional chats that may overwhelm with information, the educational app breaks down complex topics into manageable steps for better understanding.

For instance, when explaining derivatives, it starts with basic definitions before moving on to visual representations on graphs.

Emotional Intelligence in Educational Apps

The design of the app aims to be supportive without being overly optimistic or dismissive; it reflects user emotions and communication styles for personalized interaction.

By connecting difficult subjects to personal interests (like soccer), learners can relate better and grasp challenging concepts more effectively.

Understanding the Role of AI in Learning and Mental Health

The Importance of Personalized Learning

Emphasizes the value of using relatable examples in learning, making topics more understandable and engaging for individuals.

Addressing Mental Health Concerns

Discusses how AI can amplify personal beliefs, potentially leading to feelings of isolation if one believes they are alone in their struggles.

Highlights that while AI applications can assist with many issues, there are times when speaking to a real person is irreplaceable for emotional support.

Limitations of Current AI Applications

Acknowledges that current learning applications may not be perfect and could behave unexpectedly, which users should report to improve functionality.

Future Improvements and User Feedback

Expresses hope for gradual enhancements in AI applications, aiming for them to become more effective over time.

Conclusion and Call to Action

Encourages participants to reflect on insights gained from the training session that can be applied in school or life.

Requests feedback on the training session to help tailor content that is genuinely useful for users.