Comment utiliser l’IA pour révolutionner votre enseignement ?

While AI offers potential for teacher feedback, using facial recognition to monitor student engagement poses ethical and practical concerns. Continuous tracking of students' micro-expressions may invade privacy. It risks misreading moods, oversimplifying the nuanced relationship between facial cues and mindset. Overreliance on AI for engagement interpretation could result in faulty metrics, incomplete information, and added pressure on students and teachers. Over-relying on algorithmic engagement metrics risks faulty data, pressures on students and teachers. We must recognise AI limitations, like my difficulty getting ChatGPT to interpret Excel uploads! Pushing technology too far too fast risks significant downsides.

Generative AI is the future of education. You can learn anything via ChatGPT , BING , Bard and a whole of other amazing Ai tools. You just need the right prompt and messages

When we started using "Google" as a search engine, we were worried about students plagiarism and other ill effects of it. However, we managed to win over the issues and learned to use the tool wisely and to expand the uses of it as well. Likewise AI offers a lot of potential to be used in various teacher tasks such as planning, assessing, engaging. I would use it as a base so I don't need to start from the scratch and customize it to my students and to my class. That way though AI material, I am adding teacher touch to it. This way I am using the latest technology in a more efficient way but I am not using it without my input in it or without my thinking through it as well.

It's important to acknowledge the limits of where AI can support teachers and the teaching process. Monitoring "emotion" isn't a thing it should be doing. However a great example of what it can do, is better higlight and analyse the hidden pedagogy and skills of your practice to better understand your strengths and opportunities for growth.

AI can be a great tool for - getting tips on classroom management, - learning about the teaching methodologies and their implementations, - planning lessons and creating learning experiences with respect to different teaching methods, - providing descriptive feedback on student work / assessment, - creating assessment materials and their anwer keys together with rubrics, and more. The key point here is to always evaluate the output and make changes if necessary.

Generative AI should become an integral part of the education system as it's the torchbearer of next-generation technology. As technology advances, so do the minds of children. The introduction of calculators once transitioned simple equations to more complex problem-solving. They provided the right tools, enabling students to tackle intricate math problems. Similarly, avoiding ChatGPT is not an option, children should be encouraged to use tools like ChatGPT, and then refine the generated content in classrooms. In the same way, AI image generation in a safe environment should be advocated. There are numerous ways to leverage the power of Generative AI in today's education system, making learning a more engaging and exploratory experience.

This part, I think, is going to help a lot of students who live in areas where education is not readily accessible. AI-generated adaptive and personalised content (which is of course checked by experts before being published) could make education accessible to everyone.

I've been delving into integrating ChatGPT and other AI tools into my school. This has involved everything from creating role-playing prompts to developing unique educational chatbots, like 'Interview a Viking'. The initial feedback, particularly from younger students engaging with D-ID videos, has been encouraging. I'm also exploring the role of VR/AR technologies, and how we can develop more immersive learning experiences. However, it is all about finding the right balance. The goal is not to make everything all AI, all the time, but rather to identify opportunities where these tools can have the most meaningful impact on student engagement and learning outcomes.

It is great to let students experiment with their own use of AI tools, but first they have to know how it works, so they can use the right tools safely. And that is the role of the teacher to explain that.

Currently, teachers are leading the way in terms of creating learning experiences and implementing them. Once AI-based tools are widespread, students will also be able to use these tools safely. Learning experiences that encourage and support students' use of AI-based tools and hence boost their creativity is the ideal achievement for me.

Duolingo, a popular language-learning app, is an excellent example of how AI and machine learning (ML) can be leveraged to personalize the learning experience. Duolingo employs AI-powered chatbots to simulate conversations in the user's target language, adjusting dialogue based on user responses. User input is analyzed through ML to identify strengths and gaps in the learner's skill development, and lessons are adjusted to meet the identified needs. The app offers various learning modes like story-based lessons and timed challenges, optimized using AI to cater to different learning preferences. The AI-empowered adaptive nature of Duolingo, combined with features like gamification, contributes to its widespread appeal.

AI is a powerful tool in shaping tailored curricula for students. It harnesses their backgrounds, interests, and aspirations to craft personalized learning experiences. AI-driven smart content generation generates, summarizes, and translates various media types, aligning them with students' chosen subjects and languages. Smart assessments powered by AI gauge, monitor, and report on individual progress, skills, and competencies through data-driven analytics and dashboards. Moreover, AI-driven smart recommendations sift through vast educational resources, suggesting the most fitting and efficient learning materials, activities, and interventions.

Personalised learning was among the first methods since there was enough knowledge in the bank of humanity. Princes and princesses were educated by private tutors based on their strong skills. Later on, some small schools also differentiate their education according to their students. Industrialisation infused a big shift to education, so strongly that we still struggle to change it to something else. Now that we know much more about personalised learning + we have technology to ease the overwhelming workload that comes with its implementation, we will witness more schools and teachers embracing it in a few years' time.

Chat GPT is excellent. It helps to plan simple research projects. How to design a simple Project Paper like Bandura's Contributions can easily planned using Chat GPT.

Curriculum differentiation is vital for students in the classroom. This level of personalisation allows students to access work they may have unintentionally been locked out of previously. One way that this can be done is to use AI to differentiate reading levels, allowing for non-streamed groups to be run in the classroom. Platforms like ChatGPT can be used to rewrite articles at different levels, allowing students to select one that works for them. In this way, students can discuss the same concepts and hear a rich vocab and topic discussion. Working in this way allows for low-floor, high-ceiling experiences that build each students self-confidence.

While I agree that AI can assist with grading and reporting, I really believe that the most valuable aspect lies in the feedback. When a student composes an essay or any other text, professors rarely provide a detailed response. They only underscore the most crucial elements. However, this is not sufficient to master their skills. Here, AI could provide significant aid as it can not only evaluate each segment of the work, but also guide the student (in real time) on how to modify or enhance the text. This feature is particularly beneficial for beginners. Naturally, it also saves a substantial amount of the professor's time.

I agree that AI is powerful and innovative tool that can help revolutionize teaching. Using AI can enhance teaching skills, engage students, personalize curriculum, and improve assessment. Yet, it cannot give students personalized feedback, which is so critical in the learning process and how they improve throughout the semester. It's so important to connect with your students and create a sense of community regardless of class size or modality. They want to know that you recognize them as an individual. In my courses, I take the time to give students feedback and call students by name when I am writing feedback. I believe this shows I care about them and their success in my course. It can completely change the dynamics in an online course.

AI for assessment is a double edged sword. You can provide some guard rails and guidance for AI to best classify "buckets" of performance to help structure rough feedback, but for now the nuance required to truly respect and evaluate the work of the learner still belongs with the teacher. There are however plenty of opportunities for teachers to leverage AI in generating rubrics that better represent the skills demonstrated by the learners. The additional context and perspective bought by AI can help ensure that teachers are given the best possible standards referenced approach to evaluate against.

I agree that AI can optimize the assessment reporting process for educators, but more importantly it can entirely change the way we assess students. For example, in my experience shaping online education programs, we’ve shifted from creating summative assessments to providing timely detailed feedback and additional practice activities. So instead of giving a student a grade on a task, we try to provide insights about their weaknesses and activities to help students improve their skills.

When used as merely summative assessment, neither students nor their parents/guardians learn much about their achievements or failures. Formative assessment is key to deepen students' understanding of the concept, and hence the mastery. A mistake turning into a discussion where the teacher or peer provides the descriptive feedback and the student replies to it is one of the best ways of learning.

AI can help us to critically reevaluate all of our current ideas about education; even the ones we consider foundational and obvious. It can help us better understand and grasp the true complexity involved in education. It can help us not just formulate vanilla ideas where AI simply optimizes what we're already doing, but instead it can help us to imagine radical new paradigms and to explore and even create concepts that might be relevant for a future that we haven't yet imagined.

Everyone has added so many great examples of how you use AI to revolutionize teaching, but few are thinking beyond the here and now. We need to be sure to take into consideration how AI can revolutionize WHAT we are teaching. Yes, personalization, yes better assessments, yes better student engagement, and yes to enriched curriculum. But what we teach will look different too. My French class will have to shift to what students learn in it for their new AI world. Because in the end, our subjects are important as long as they remain relevant and up-to-date in supporting the needs of our students' future. And their world is an AI infused one. Time to embrace that.

The way AI is helping to revolutionise my teaching is that it's starting to give me time back from the mundane tasks so I can put that into making my classes creative and valuable to my students. It's helping me look at my assessments and really ask the why.

These are all great ideas, but let's not forget about the human element in teaching. AI can definitely help with decreasing workload and increasing the amount of individual attention students can get but I think it's important to remember that not everything that's flashy and new will automatically enhance learning. Teachers should make the principled decisions about which AI tools they'd like to use to help them outsource certain activities (personalised material creation or help with assessment and feedback) but should always double-check whether they are satisfied with the results. Human participation is key.

AI is the perfect tutor, it never tires of explaining over and over, it is able to be tailored for almost any age and knowledge level, and there are no wrong or stupid questions, BUT there are some areas, where human is irreplaceable, such as creativity, emotional support and connection, leading by example and more. Ideal would be having a human tutor for one class with an AI assistant tailored for each child that could help, explain, or give more advanced tasks.