Which of the following describes the 'Black Box' problem in the use of Large Language Models (LLMs) for academic grading and feedback?

The lack of transparency and interpretability in how the model reaches a specific evaluation or score

The inability of the AI to process more than one grading rubric at a time

The physical limitation of hardware preventing the storage of student records

The intentional encryption of student data to prevent unauthorized access by third parties

AI in education | Quizalize

The Use of AI In Education

EXTRA 2 - AI IN EDUCATION - DIFFICULT - FR/FR - WITH GAME

TAP 7 - AI in Education

Revolutionising Education: Unleash AI to Spark Joy in the Classroom. What is Artificial Intelligence (AI)? • Definition: AI involves creating computer systems that can perform tasks typically requiring human intelligence. These include learning, reasoning, problem-solving, perception, and language understanding. • Examples in Everyday Life: From personal assistants like Siri and Alexa to more complex applications like predictive analytics in healthcare and autonomous driving. Two Types Artificial Intelligence (AI) • Generative AI: refers to a type of artificial intelligence technology that can generate new content, such as text, images, music, and videos. It leverages advanced algorithms to understand and replicate patterns from existing data, allowing it to create original outputs that mimic human-like creativity. Examples include models that can write like a human, generate realistic images from textual descriptions, or compose music. • Large Language Models: are a subset of Generative AI specifically designed to understand and generate human language. These models are trained on vast amounts of text data, which enable them to perform a variety of language-based tasks such as translation, summarization, answering questions, and even engaging in conversation. Notable examples include OpenAI's ChatGPT, Google Bard, and Microsoft Bing. AI in Education? • Enhancing Learning: AI can personalise learning based on individual student needs by adapting materials and pacing. • Automating Tasks: AI can automate administrative tasks like lesson planning and scheduling, allowing educators more time to focus on teaching and building relationships. Ethical Considerations? • Privacy and Security: Ensuring student data is protected and not misused. • Bias and Fairness: Developing AI systems that provide equal opportunities for all students and do not inherit or amplify biases. • Transparency and Accountability: Making AI decisions in education understandable and subject to checks and balances. Our Top 10 AI For Educators • Classroom conductor – ChatGPT - A versatile AI that assists teachers with emails, lesson plans, generating quiz questions, and example student pieces. • Digital Design Dynamo – Canva - With its AI Magic Media app, Canva helps create engaging visuals and videos, making digital design accessible. • Maetstro of Music – Suno - Instantly generates songs on any lesson topic or converts your lyrics into music, enhancing learning with tunes. • Teacher’s AI Ally – School AI - Focused on educator needs, it features tools for creating interactive exit tickets and engaging chat bots. • Differentiator – Diffit - Transforms PDFs and YouTube videos into differentiated worksheets and activities across languages and reading levels. • Quiz Master – Quizalize - Turns any content into quizzes or games, engaging students with interactive challenges based on lesson material. • Presentation Pro – Gamma - Helps create stunning presentations quickly, ideal for classroom use or professional meetings. • Interactive Lesson Launcher – Cruipod - Quickly generates interactive presentations for classroom use, integrating activities seamlessly into lessons. • Note-Taking Ninja – LLava - Produces study notes and quiz questions from any photo or image, simplifying study material generation. • Creative Story Spinner – StroyWizard - Enables teachers to create custom stories incorporating elements from their own classrooms, linking imagination with academic achievement.

Using generative AI in education

EXTRA 2 - AI in Education

Benefits of AI in Education Assessment

Here is a short and easy-to-read multiple-choice quiz on ethical considerations when using AI in education: --- **1. Why is it important to ensure AI tools in education are transparent?** a) To make AI tools more complex b) To build trust and accountability c) To reduce the number of users d) To increase costs --- **2. What should teachers consider when using AI to analyze student data?** a) Only the accuracy of the AI tool b) Students' privacy and data security c) The speed of analysis d) The AI's popularity --- **3. Which is a potential ethical issue with AI-based personalized learning?** a) Making learning easier b) Creating unfair advantages c) Improving student engagement d) Reducing teacher workload --- **4. How can bias in AI education tools be addressed?** a) Ignore the bias b) Continuously monitor and update the AI c) Use the AI without testing d) Focus only on the final outcomes --- **5. Why is it crucial to involve students in discussions about AI in education?** a) To keep them busy b) To make them more dependent on AI c) To ensure they understand the impact on their learning d) To avoid teaching them other subjects --- This quiz is designed to help assess the trainees' understanding of key ethical considerations when using AI in education.

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