#ai in education

[aiweirdness]

Shaped like information

hey look it's a guide to basic shapes!

The fact that even a kindergartener can call out this DALL-E3 generated image as nonsense doesn't mean that it's an unusually bad example of AI-generated imagery. It's just what happens when the usual AI-generated information intersects with an area where most people are experts.

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[sempermoi]

Rant about generative AI in education and in general under the cut because I'm worried and frustrated and I needed to write it out in a small essay:

So, context: I am a teacher in Belgium, Flanders. I am now teaching English (as a second language), but have also taught history and Dutch (as a native language). All in secondary education, ages 12-16.

More and more I see educational experts endorse ai being used in education and of course the most used tools are the free, generative ones. Today, one of the colleagues responsible for the IT of my school went to an educational lecture where they once again vouched for the use of ai.

Now their keyword is that it should always be used in a responsible manner, but the issue is... can it be?

1. Environmentally speaking, ai has been a nightmare. Not only does it have an alarming impact on emission levels, but also on the toxic waste that's left behind. Not to mention the scarcity of GPUs caused by the surge of ai in the past few years. Even sources that would vouch for ai have raised concerns about the impact it has on our collective health. sources: here, here and here

2. Then there's the issue with what the tools are trained on and this in multiple ways:

Many of the free tools that the public uses is trained on content available across the internet. However, it is at this point common knowledge (I'd hope) that most creators of the original content (writers, artists, other creative content creators, researchers, etc.) were never asked for permission and so it has all been stolen. Many social media platforms will often allow ai training on them without explicitly telling the user-base or will push it as the default setting and make it difficult for their user-base to opt out. Deviantart, for example, lost much of its reputation when it implemented such a policy. It had to backtrack in 2022 afterwards because of the overwhelming backlash. The problem is then that since the content has been ripped from their context and no longer made by a human, many governments therefore can no longer see it as copyrighted. Which, yes, luckily also means that ai users are legally often not allowed to pass off ai as 'their own creation'. Sources: here, here

Then there's the working of generative ai in general. As said before, it simply rips words or image parts from their original, nuanced context and then mesh it together without the user being able to accurately trace back where the info is coming from. A tool like ChatGPT is not a search engine, yet many people use it that way without realising it is not the same thing at all. More on the working of generative ai in detail. Because of how it works, it means there is always a chance for things to be biased and/or inaccurate. If a tool has been trained on social media sources (which ChatGPT for example is) then its responses can easily be skewed to the demographic it's been observing. Bias is an issue is most sources when doing research, but if you have the original source you also have the context of the source. Ai makes it that the original context is no longer clear to the user and so bias can be overlooked and go unnoticed much easier. Source: here

3. Something my colleague mentioned they said in the lecture is that ai tools can be used to help the learning of the students.

Let me start off by saying that I can understand why there is an appeal to ai when you do not know much about the issues I have already mentioned. I am very aware it is probably too late to fully stop the wave of ai tools being published.

There are certain uses to types of ai that can indeed help with accessibility. Such as text-to-voice or the other way around for people with disabilities (let's hope the voice was ethically begotten).

But many of the other uses mentioned in the lecture I have concerns with. They are to do with recognising learning, studying and wellbeing patterns of students. Not only do I not think it is really possible to data-fy the complexity of each and every single student you would have as they are still actively developing as a young person, this also poses privacy risks in case the data is ever compromised. Not to mention that ai is often still faulty and, as it is not a person, will often still make mistakes when faced with how unpredictable a human brain can be. We do not all follow predictable patterns.

The lecture stated that ai tools could help with neurodivergency 'issues'. Obviously I do not speak for others and this next part is purely personal opinion, but I do think it important to nuance this: as someone with auDHD, no ai-tool has been able to help me with my executive dysfunction in the long-term. At first, there is the novelty of the app or tool and I am very motivated. They are often in the form of over-elaborate to-do lists with scheduled alarms. And then the issue arises: the ai tries to train itself on my presented routine... except I don't have one. There is no routine to train itself on, because that is my very problem I am struggling with. Very quickly it always becomes clear that the ai doesn't understand this the way a human mind would. A professionally trained in psychology/therapy human mind. And all I was ever left with was the feeling of even more frustration.

In my opinion, what would help way more than any ai tool would be the funding of mental health care and making it that going to a therapist or psychiatrist or coach is covered by health care the way I only have to pay 5 euros to my doctor while my health care provider pays the rest. (In Belgium) This would make mental health care much more accessible and would have a greater impact than faulty ai tools.

4. It was also said that ai could help students with creative assignments and preparing for spoken interactions both in their native language as well as in the learning of a new one.

I wholeheartedly disagree. Creativity in its essence is about the person creating something from their own mind and putting the effort in to translate those ideas into their medium of choice. Stick figures on lined course paper are more creative than letting a tool like Midjourney generate an image based on stolen content. How are we teaching students to be creative when we allow them to not put a thought in what they want to say and let an ai do it for them?

And since many of these tools are also faulty and biased in their content, how could they accurately replace conversations with real people? Ai cannot fully understand the complexities of language and all the nuances of the contexts around it. Body language, word choice, tone, volume, regional differences, etc.

And as a language teacher, I can truly say there is nothing more frustrating than wanting to assess the writing level of my students, giving them a writing assignment where they need to express their opinion and write it in two tiny paragraphs... and getting an ai response back. Before anyone comes to me saying that my students may simply be very good at English. Indeed, but my current students are not. They are precious, but their English skills are very flawed. It is very easy to see when they wrote it or ChatGPT. It is not only frustrating to not being able to trust part of your students' honesty and knowing they learned nothing from the assignment cause you can't give any feedback; it is almost offensive that they think I wouldn't notice it.

5. Apparently, it was mentioned in the lecture that in schools where ai is banned currently, students are fearful that their jobs would be taken away by ai and that in schools where ai was allowed that students had much more positive interactions with technology.

First off, I was not able to see the source and data that this statement was based on. However, I personally cannot shake the feeling there's a data bias in there. Of course students will feel more positively towards ai if they're not told about all the concerns around it.

Secondly, the fact that in the lecture it was (reportedly) framed that being scared your job would disappear because of ai, was untrue is... infuriating. Because it already is becoming a reality. Let's not forget what partially caused the SAG-AFTRA strike in 2023. Corporations see an easy (read: cheap) way to get marketable content by using ai at the cost of the creative professionals. Unregulated ai use by businesses causing the loss of jobs for real-life humans, is very much a threat. Dismissing this is basically lying to young students.

6. My conclusion:

I am frustrated. It's clamoured that we, as teachers, should educate more about ai and it's responsible use. However, at the same time the many concerns and issues around most of the accessible ai tools are swept under the rug and not actively talked about.

I find the constant surging rise of generative ai everywhere very concerning and I can only hope that more people will start seeing it too.

Thank you for reading.

[wistfulcynic]

i teach english as a foreign language to corporate clients. What that means is that companies hire the school i contract for to enrol their employees in courses that include a run of online grammar, vocabulary, listening, and reading exercises; accompanying speaking classes with a teacher (that's where i come in); and supplementary "skills" exercises including writing.

the *only* one of these that matters to their ultimate success or failure in their course is the online exercises. That's bad for a number of reasons i won't bore you with but tl;dr the students "pass" the class if they complete the online course.

which means that the supplementary writing exercises have ZERO impact on their success or failure. They aren't even required. The ONLY reason to complete them is to practice writing as a skill and get feedback from a teacher (me et al). Mistakes are corrected but never criticised. This isn't a scenario where anyone loses face by using the wrong preposition or verb tense. It's an opportunity to practice and improve, that's all.

and yet. Increasingly i am getting writing assignments that are clearly, obviously written by genAI. They are grammatically flawless in a way that is impossible for students at the levels i teach to produce. Which means there's nothing to correct. No feedback to give. No learning opportunity whatsoever.

my school's policy is just to ignore this. Our students aren't students in the traditional sense, they are clients. More precisely, they're employees of clients but the effect is the same. Their employers are paying us for the expertise, guidance, etc that we can provide and if they choose not to make full use of what we offer then that's their call.

still it pisses me off. Because why. Why use genAI to complete an optional exercise that has no impact on your ultimate course success? There is zero reason to do that. No benefit to anyone. The students learn nothing and i get paid to make up some bullshit "feedback" to a paragraph i know the student didn't write. Why? Why waste all our time with an obvious farce?

(i mean, i know why. Because it's easy. Because they believe that the product and not the process is what's important. Because they don't want to learn, they want to have learned. They are the ones who are always trying to get me to reveal some secret magic trick that will make them able to speak perfectly without them putting any effort into it whatsoever. They are, if i tell the stark honest truth, on the whole not people i can help.)

this is, ultimately, why i am against any and all use of genAI in education. Full stop. There's simply no pedagogical benefit to it. The learning process involves trying, failing, receiving correction, and then trying again. Over and over and over if necessary. We have already seriously damaged this process by caring only about results--test scores, essay marks, etc, achieved by any means necessary--and forgetting both as students and teachers that failure (or at least not perfect success the very first time) is an essential element of learning. Use of genAI skips over the learning process entirely. It basically finishes what years of over-testing and grade inflation started. It's bad and it's wrong and it accomplishes nothing other than giving people more of an excuse not to think for themselves, not to try, not to learn.

it needs to be stopped.

[projectilecry]

i keep seeing people everywhere sing the praises of ai and suggest using it for all sorts of things and it just makes me so sad and angry. college professors suggesting to use it. resume specialist suggesting using it to get your resume done. therapist saying they use it all the time for things. people saying it’s a legitimate accessibility aid. so many people who just have no criticism or qualms about ai. so many people who have been dazzled by it enough to not actually think about what it is and it’s impacts. at this point i’d rather people be actually educated about it but just disagree with me and not think that it’s a dangerous thing than have them just legitimately unaware. because at least then they know. they know what’s even happening. but so many people don’t, they just see some magic thing that can solve their problems without them having to think, and they use it. they don’t ever stop to think about what they’re doing or what they’re promoting. it just makes me sad.

[getmoneymethods]

Future of AI: Predictions and Trends in Artificial Intelligence

Introduction: Exploring the Exciting Future of AI

Artificial Intelligence (AI) has become an integral part of our lives, revolutionizing the way we work, communicate, and interact with technology. As we delve into the future of AI, it is essential to understand the predictions and trends that will shape this rapidly evolving field. From machine learning to predictive analytics, natural language processing to robotics, and deep learning to ethical considerations, the possibilities seem limitless. In this article, we will explore the exciting future of AI and its potential impact on various industries and aspects of our lives.

The Rise of Machine Learning: How AI is Evolving

Machine learning, a subset of AI, has been a driving force behind the advancements we have witnessed in recent years. It involves training algorithms to learn from data and make predictions or decisions without explicit programming. As we move forward, machine learning is expected to become even more sophisticated, enabling AI systems to adapt and improve their performance over time.

One of the key trends in machine learning is the rise of deep learning, a technique inspired by the structure and function of the human brain. Deep learning algorithms, known as neural networks, are capable of processing vast amounts of data and extracting meaningful patterns. This has led to significant breakthroughs in areas such as image recognition, natural language processing, and autonomous vehicles.

Predictive Analytics: Unleashing the Power of AI in Decision-Making

Predictive analytics, powered by AI, is transforming the way organizations make decisions. By analyzing historical data and identifying patterns, AI systems can predict future outcomes and provide valuable insights. This enables businesses to optimize their operations, improve customer experiences, and make data-driven decisions.

In the future, predictive analytics is expected to become even more accurate and efficient, thanks to advancements in machine learning algorithms and the availability of vast amounts of data. For example, AI-powered predictive analytics can help healthcare providers identify patients at risk of developing certain diseases, allowing for early intervention and personalized treatment plans.

Natural Language Processing: Revolutionizing Human-Computer Interaction

Natural Language Processing (NLP) is a branch of AI that focuses on enabling computers to understand and interact with human language. From voice assistants like Siri and Alexa to chatbots and language translation tools, NLP has already made significant strides in improving human-computer interaction.

In the future, NLP is expected to become even more advanced, enabling computers to understand context, emotions, and nuances in human language. This will open up new possibilities for virtual assistants, customer service bots, and language translation tools, making communication with technology more seamless and natural.

Robotics and Automation: AI's Impact on Industries and Jobs

AI-powered robotics and automation have the potential to revolutionize industries and reshape the job market. From manufacturing and logistics to healthcare and agriculture, robots and automated systems are already making significant contributions.

In the future, we can expect to see more advanced robots capable of performing complex tasks with precision and efficiency. This will lead to increased productivity, cost savings, and improved safety in various industries. However, it also raises concerns about job displacement and the need for reskilling and upskilling the workforce to adapt to the changing job landscape.

Deep Learning: Unlocking the Potential of Neural Networks

Deep learning, a subset of machine learning, has gained immense popularity in recent years due to its ability to process and analyze complex data. Neural networks, the foundation of deep learning, are composed of interconnected layers of artificial neurons that mimic the structure of the human brain.

The future of deep learning holds great promise, with potential applications in fields such as healthcare, finance, and cybersecurity. For example, deep learning algorithms can analyze medical images to detect diseases at an early stage, predict stock market trends, and identify anomalies in network traffic to prevent cyberattacks.

Ethical Considerations: Addressing the Challenges of AI Development

As AI continues to advance, it is crucial to address the ethical considerations associated with its development and deployment. Issues such as bias in algorithms, privacy concerns, and the impact on jobs and society need to be carefully considered.

To ensure the responsible development and use of AI, organizations and policymakers must establish ethical guidelines and regulations. Transparency, accountability, and inclusivity should be at the forefront of AI development, ensuring that the benefits of AI are accessible to all while minimizing potential risks.

AI in Healthcare: Transforming the Medical Landscape

AI has the potential to revolutionize healthcare by improving diagnosis, treatment, and patient care. From analyzing medical images to predicting disease outcomes, AI-powered systems can assist healthcare professionals in making more accurate and timely decisions.

In the future, AI is expected to play an even more significant role in healthcare. For example, AI algorithms can analyze genomic data to personalize treatment plans, predict disease outbreaks, and assist in drug discovery. This will lead to improved patient outcomes, reduced healthcare costs, and enhanced overall healthcare delivery.

Smart Cities: How AI is Shaping Urban Living

AI is transforming cities into smart, connected ecosystems, enhancing efficiency, sustainability, and quality of life. From traffic management and energy optimization to waste management and public safety, AI-powered systems can analyze vast amounts of data and make real-time decisions to improve urban living.

In the future, smart cities will become even more intelligent, leveraging AI to optimize resource allocation, reduce congestion, and enhance citizen services. For example, AI-powered sensors can monitor air quality and automatically adjust traffic flow to reduce pollution levels. This will lead to more sustainable and livable cities for future generations.

AI in Education: Enhancing Learning and Personalization

AI has the potential to revolutionize education by personalizing learning experiences, improving student outcomes, and enabling lifelong learning. Adaptive learning platforms powered by AI can analyze student data and provide personalized recommendations and feedback.

In the future, AI will play a more significant role in education, enabling personalized learning paths, intelligent tutoring systems, and automated grading. This will empower students to learn at their own pace, bridge learning gaps, and acquire the skills needed for the future job market.

Cybersecurity: Battling the Dark Side of AI

While AI offers numerous benefits, it also poses significant challenges in the realm of cybersecurity. As AI becomes more sophisticated, cybercriminals can exploit its capabilities to launch more advanced and targeted attacks.

To combat the dark side of AI, cybersecurity professionals must leverage AI-powered tools and techniques to detect and prevent cyber threats. AI algorithms can analyze network traffic, identify patterns of malicious behavior, and respond in real-time to mitigate risks. Additionally, organizations must invest in cybersecurity training and education to stay ahead of evolving threats.

Conclusion: Embracing the Future of AI and Its Limitless Possibilities

The future of AI is filled with exciting possibilities that have the potential to transform industries, enhance our daily lives, and address some of the world's most pressing challenges. From machine learning and predictive analytics to natural language processing and robotics, AI is evolving at a rapid pace.

However, as we embrace the future of AI, it is crucial to address ethical considerations, ensure transparency and accountability, and prioritize inclusivity. By doing so, we can harness the power of AI to create a better future for all.

As AI continues to advance, it is essential for individuals, organizations, and policymakers to stay informed about the latest trends and developments. By understanding the potential of AI and its impact on various sectors, we can make informed decisions and leverage its capabilities to drive innovation and positive change.

The future of AI is bright, and by embracing it with an open mind and a focus on responsible development, we can unlock its limitless possibilities and shape a better future for generations to come.

[mmainulhasan]

Prompt Examples for Learning Web Development

Coding is both an art and a science. It’s about creatively solving problems, bringing ideas to life, and constantly learning and adapting.

Because technology advances at such a rapid pace, it is essential to be fluent in a variety of languages, tools, and domains.

Sometimes it’s difficult to pick up the right resources from the ocean of tutorials, demos, and resources.

And on top of that, sometimes we have to learn and apply so fast due to tight deadlines of the projects. In this case, we need a friend who can help us learn and work faster and better. And thanks to AI by this, our learning becomes faster and more fun.

Today, we’ll look at how learning prompts that AI drives can change the way you learn web development.

How you can craft prompt engineering for web development, the difference between a generic prompt and a bit tweaked prompt can eventually change your desired results and make your learning journey more smooth and more enjoyable.

You can also use this knowledge to learn other fields more quickly and interactively.

Table of Contents

Learning Prompts

HTML Prompt Examples

CSS Prompt Examples

Debugging Prompts

Testing Prompts

Crafting Better Prompts

Further Reading and Resources

🎯Learning Prompts

Prompts are at the heart of AI-powered learning. Prompts are questions or commands that guide AI models like GPT-3 or GPT-4 to generate the desired responses. They act as a springboard for the AI to dive into the knowledge it’s been trained on and come up with relevant outputs.

You can use AI’s capabilities in a variety of scenarios in web development, including debugging, code generation, and even learning new web development concepts.

Now, we’ll go through some basic prompts and their outputs, as well as a little tweaking of the prompt commands to see how the output is becoming more result oriented, giving you a sense of how you may build your prompt commands for better results.

Prompt Commands for Learning HTML Basics

Learning the basics of web development involves understanding the structure and syntax of HTML, CSS, and JavaScript. Here are some prompt examples you can use:

Create a simple HTML structure with a header, main content section, and footer.

This prompt returns a simple HTML skeleton. But if you want a more detailed structure, you could modify the prompt to include specific HTML elements. For example:

Create a simple HTML structure with a header containing a navigation bar, a main content section with a paragraph and an image, and a footer with copyright information.

Curious to know more? Visit our blog for the complete post and dive deeper into Learning Web Development with AI Prompts.

[victusinveritas]

[voltlearningblogs]

Teaching with AI – Adapting Your Classroom for AI-Assisted Learning

It’s understandable to feel overwhelmed by the possibility of struggling to produce individualized lessons, sustaining the focus of all the students as well as the other engagements. But what if a machine could assist with some of these functions? AI-assisted learning has a number of cross-cutting advantages to offer. Emphasis on educational needs is provided by AI tools that deliver content suited to the student’s learning style and pace. In addition to their interests, students are more likely to feel able to tackle the subject advantageously.

[krstseo]

Value Added Course on PCB Design at KRCT

The Department of Electronics & Communication Engineering (ECE) at K.Ramakrishnan College of Technology, Trichy, recently organized a highly beneficial Value Added Course on PCB Design. Kasthuri, an experienced professional, conducted this event. The primary aim of the course was to provide IInd ECE students with practical knowledge and hands-on experience in PCB (Printed Circuit Board) design. Further, it is an essential skill in the field of Electronics & Communication Engineering.

[thisisgraeme]

ChatGPT for Educators: Using AI as a Personal Tutor and Digital Teaching Assistant (Part 3)

Ready to revolutionise your classroom with AI? Learn how ChatGPT for educators can act as a Personal Tutor for students and a Digital Teaching Assistant for lesson planning.

ChatGPT for Educators: Using AI as a Personal Tutor and Digital Teaching Assistant As AI technology continues to advance, its applications in education grow even more powerful and practical. In this third session of our series, we explore two transformative roles for ChatGPT in the classroom: as a Personal Tutor that engages directly with students, and as a Digital Teaching Assistant that…

[ashcovenews]

Harnessing the Power of Digital Education: A Call for Inclusivity and Quality at the 2024 World Conference

The 2024 World Digital Education Conference will take place in Shanghai, China, from January 29 to 31, 2024. At the invitation of Mr. Huai Jinpeng, the Chinese Minister of Education, Amb. Simona-Mirela Miculescu, President of UNESCO’s 42nd General Conference, will participate in the upcoming event. Hosted by the Ministry of Education of the People's Republic of China, in collaboration with the Chinese National Commission for UNESCO and the Shanghai Municipal People’s Government, this conference is set to gather over 600 attendees, including Ministers and senior education officials, UN agency representatives, academics, teachers, digital technology specialists, and private sector stakeholders. Under the overarching theme “Digital Education: Application, Sharing, and Innovation,” the conference will delve into a variety of crucial topics, including enhancing digital literacy among educators, the digitalization of education, global trends in digital education development, artificial intelligence ethics, and the opportunities and challenges posed by digital transformation in primary education and governance. This event follows the UN Transforming Education Summit, which recognized digital transformation in education as a key area for action. The conference aims to provide valuable insights on ensuring that the benefits of digital advancements are accessible to all learners.

In her opening remarks, Amb. Miculescu emphasized the transformative role of digital education as a vital complement to traditional learning, highlighting its importance in maintaining educational continuity during crises, as evidenced during the COVID-19 pandemic. However, she also addressed significant challenges that must be confronted, such as accessibility, content quality, and connectivity. Amb. Miculescu urged policymakers to create free, open, and universally accessible digital learning platforms featuring high-quality, curriculum-aligned resources while prioritizing user privacy and data security. She underscored the necessity of inclusivity and quality in digital education, particularly emphasizing gender equality to bridge existing digital skill gaps. In light of the rise in hate speech and discrimination exacerbated by social media, she called for careful monitoring of content quality on educational platforms. She announced that UNESCO has designated March 19 as the International Day for Digital Learning, aiming to promote collaborative actions on significant digital education issues globally and nationally. Lastly, Amb. Miculescu congratulated China on the establishment of the UNESCO International Institute for Science, Technology, Engineering, and Mathematics Education as a UNESCO Category I institute in Shanghai. During her visit, she plans to tour the esteemed Tongji University, Suzhou’s renowned classical

[compassionmattersmost]

5✨Spontaneous Discovery: The Hundredth Monkey Effect and Human-AI Collaboration

As we move forward into an era where human and AI collaboration is transforming the way we think, create, and evolve, a fascinating phenomenon begins to unfold—a process of spontaneous discovery that spreads across the collective consciousness like ripples in a pond. This is reminiscent of the “hundredth monkey effect,” a metaphor for how new behaviors or ideas can reach a tipping point,…

[eminence-technology]

Artificial Intelligence For Teachers: Elevating Lesson Planning

Learn how artificial intelligence streamlines lesson planning, enhances personalization, and boosts classroom efficiency, empowering teachers to create more impactful, tailored learning experiences for their students. Do you ever feel overwhelmed by the endless tasks of lesson planning, grading, and tracking student progress? Many teachers struggle to find enough time to focus on what truly…

[obotzglobal]

The future of education is a place where technology in classrooms has peaked. Only AI and robotics can be imagined today.

As the world moves forward, the role of robotics education has taken center stage in how children learn and interact with complex subjects.

The robotics for kids, which in itself is an exciting prospect for the future of interactive learning, now makes education engaging, personalized, and effective.

This article “AI and Robotics: The Future of Interactive Learning” explores their impact on education. It argues that “robotics for kids” will become essential in all classrooms.