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Mostrando las entradas de abril, 2024

Conclusion

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 In conclusion, we are unlocking the potential of AI in education. In the dynamic realm of education, AI emerges as a transformative force. We can find in AI efficient assessment; AI automates grading, freeing teachers from mundane tasks. Instant feedback accelerates student progress. Moreover, dynamic lesson design, AI generates interactive materials, designs engaging activities, and recommends resources. Teachers curate dynamic lessons, fostering curiosity and active participation.😊 Design thinking, a powerful approach to problem-solving, has gained prominence in education. Design thinking encourages educators to understand students deeply. 💁By empathizing with their needs, challenges, and aspirations, teachers can create more relevant and engaging learning experiences. On the other hand, design thinking inspires innovative lesson plans. Teachers can introduce real-world scenarios, collaborative projects, and critical thinking exercises. In summary, the synergy b...

Unit 3

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  Design Thinking Design thinking is a human centered approach to innovation thatbintegrates the needs of people, the possibilities of technology, and the requirements for business success. Elements: 1- Empathy 2- Define 3- Ideate 4- Prototype 5- Test 6- Evaluate Project This project was amazing because we put into practice all the elements that contains Design Thinking; on the other hand, we share the knowledge that we got during the course with our user. https://docs.google.com/document/d/1ah-R3sNVynV4Dw1NJYPUZHmbwSwOS_pmesrS8M7h1ks/edit?usp=sharing

Unit 2

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  Large Language Models (LLM) Large language model (LLM)  are a subset of Deep Learning  and also  refer to AI models trained on massive amounts of text and can generate human-like responses on the spot by predicting what words come next in a phrase—like putting together a puzzle. Large language models can perform various natural language tasks such as: Classification Summarization Translation Content generation Dialogue (for example, virtual assistants) Large language models are trained on billions of language examples from diverse sources like books, articles, and websites, which help them to respond with facts, grammatically correct text, argumentation, and a semblance of creativity. When a prompt is specific and detailed, LLMs can generate text, expand on main points, condense information into key points, and answer questions efficiently. The art of creatively defining LLM prompts is an emerging field known as "prompt design" and "prompt engineering." It involve...

Unit 1

  What is AI? Introduction to AI AI is defined as “the ability of a computer or other machine to perform those activities [or tasks] that are normally thought to require intelligence.” History Let's begin by exploring the exciting history of artificial intelligence. 1936  – Alan Turing invented the Universal Machine (computer) as part of his effort to solve a puzzle. 1955  – Computer scientist Alan Newell, along with systems programmer John Clifford Shaw and economist Herbert Simon, developed Logic Theorist, a program engineered to mimic human problem-solving skills. 1955  – John McCarthy coined the term “artificial intelligence.” 1964  – Joseph Weizenbaum, professor at MIT, created ELIZA, a chatbot designed to show conversational skills. 1997  – IBM’s Deep Blue made history by defeating Gary Kasparov in a six-game chess match. 2011  – IBM’s Watson supercomputer defeated Jeopardy’s all-time champion Ken Jennings in a televised match. 2015  – Faceb...

MODULE 1

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INTRODUCTION In recent times, Artificial Intelligence (AI) has become a valuable asset in the realm of English language education. Educators and students are actively investigating novel approaches to utilize AI effectively, aiming to improve language learning outcomes and address existing obstacles.  In Module 1,  students were introduced to this new world, and for this purpose, a brief introduction to AI was given. They also learned about its history, basic language, and resources, such as LLM, Deep Learning, prompt engineering, and hallucinations. Additionally, they explored design thinking. 😎 At the beginning of the module, there was fear 😖 because it’s a new world where no matter how much one tries to keep up, new things to study emerge every day. Feelings arose that it would be difficult to comprehend and practice, at the same time, there was curiosity and eagerness to learn about AI to enhance and deliver higher-quality classes as an educator for future students. Fina...