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How to generate AI H5P content with STYLE

How to generate AI H5P content with STYLE

Now you can generate H5P content using AI: https://h5p.org/ai and they have a video tutorial here 
You don’t really need to sign up for their “free trial” the trick here is to use the “STYLE” part of the ROSE model when you prompt AI.

Prompt:
Give me 3 multichoice questions about the northern lights

AI would response with something like this which then requires formating in order to insert into H5P

  1. What causes the Northern Lights (Aurora Borealis)?
    • A) The moon’s reflection on the Arctic ice
    • B) Light pollution from nearby cities
    • C) Collisions between Earth’s atmosphere and charged particles from the sun
    • D) Reflection of sunlight off the oceans
  2. Which layer of Earth’s atmosphere is primarily involved in creating the Northern Lights?
    • A) Troposphere
    • B) Stratosphere
    • C) Mesosphere
    • D) Thermosphere

Answers:

  1. C) Collisions between Earth’s atmosphere and charged particles from the sun
  2. D) Thermosphere

But if you use the STYLE from the ROSE model you can get ChatGPT or CoPilot outputs in the format you need to cut and paste into H5P.
Here’s how.

ROLE: You are a Learning Designer
OBJECTIVE: To create a 3 question multi-choice quiz on the northern lights
STYLE: Please ensure that you don’t use any answer keys or special formatting. Just list the questions with their options, with the correct answer listed first, with a carriage return after each option.
EXAMPLE:
What causes the Northern Lights (Aurora Borealis)?
Collisions between Earth’s atmosphere and charged particles from the sun

The moon’s reflection on the Arctic ice
Light pollution from nearby cities
Reflection of sunlight off the oceans

And AI will response with 
What causes the Northern Lights (Aurora Borealis)?
Collisions between Earth’s atmosphere and charged particles from the sun
The moon’s reflection on the Arctic ice
Light pollution from nearby cities
Reflection of sunlight off the oceans

Which of the following gases contributes to the green color often seen in the Northern Lights?
Oxygen
Nitrogen
Carbon Dioxide
Helium

During which part of the year are the Northern Lights most visible in the Northern Hemisphere?
Winter
Summer
Spring
Fall

Which you can now cut / paste directly into a H5P Single Choice Set:
ROSE

How AI is Transforming Higher Education

How AI is Transforming Higher Education

Artificial Intelligence (AI) is steadily transforming the landscape of higher education, ushering in a new era of knowledge management and tailored learning experiences. As we move deeper into the 21st century, the role of AI in shaping future business leaders through simulated scenarios and soft skills development is becoming increasingly significant. This transformation is evident in various dimensions of the educational sector, ranging from curriculum development to the operational aspects of institutions.

  • Revolutionising Knowledge Management and Learning
    Higher educational institutions are adopting AI to create more dynamic learning environments that cater specifically to individual learning styles. AI-driven platforms are enabling personalized learning journeys, helping students grasp complex concepts at their own pace and enhancing their understanding through interactive and simulated scenarios. This not only makes learning more engaging but also equips students with the critical thinking and problem-solving skills essential for future business leaders.
  • Institutional Readiness for AI Integration
    Despite the promising applications of AI, a report by Deloitte reveals that many faculty members and administrators feel their institutions are unprepared for the profound impact AI is poised to have on curriculum, instruction, and operations. The report recommends establishing robust governance, continuous training, and learning strategies to enhance AI preparedness in higher education.
  • Cost Reduction and Efficiency
    An often-discussed advantage of integrating AI in higher education is its potential to reduce costs. By automating administrative and repetitive tasks, AI frees up faculty time, allowing educators to focus more on teaching and nurturing student relationships. This shift not only improves the quality of education but also makes higher education more accessible financially. See more on this here
  • Hands-on Experience with AI Technologies
    Institutions like Georgia Tech are at the forefront of providing practical AI experiences, collaborating with NVIDIA to offer students access to AI supercomputing through their AI Makerspace. This initiative is crucial for students, as it enhances their technical skills and prepares them for real-world applications of AI in various industries.
  • Innovations in AI Teaching
    Innovative approaches to teaching with AI are also emerging. For instance, researchers in Chennai have introduced what is claimed to be the “World’s First Autonomous AI University Professor,” capable of teaching students complex subjects through platforms like WhatsApp. This development underscores the potential of AI to simplify learning and make education more accessible.
  • Preparing Future AI Professionals
    Recognizing the growing demand for AI skills in the workforce, institutions like Central Piedmont Community College have started offering specialised degrees in AI. These programs not only provide technical training but also emphasize the ethical dimensions of AI, preparing students to be responsible leaders in the field.
  • Trends in Education 2024: The Proliferation of the Smart Classroom
    The integration of data and AI into the workforce, highlighting the importance of incorporating effective learning approaches and education technology. In particular the Smart Classroom is expected to emerge this year where AI Learning tools are built into smart white boards, and germ-resistant solutions are integrate

 

Knowledge Management to be disrupted by AI

Knowledge Management to be disrupted by AI

AI automation is coming and it is coming to automate ideas, synthesised thought out things and summarising discussions.

This will mean humans have to skill up on the ability to reflect and understand patterns.  As a result these 12 skills are what will be required in the future.

Curiosity

  • Desire to know more of the world and it’s people extending comfort zone
  • Embraces the discovery of how, what and why things happeCommunication Skills
  • Able to say the right things in the right way at the right time
  • Can articulate complex ideas to share insights & research findings

Cultural Humility

  • Ongoing process of self-exploration & critique
  • Seeks to understand new cultures to learn from others.

Dealing with Ambiguity

  • Tolerance for grey areas
  • Can decide & handle risk & uncertainty whilst able to make sound judgements

Analytical Enquiry

  • The ability to interrogate data effectively to ask and answer meaningful questions.

Critical Thinking

  • Separate fact from opinion, question & evaluate, seeking evidence
  • Develop well supported arguments

Emotional Intelligence

  • Capacity to understand human emotions
  • Able to exercise concern anad empathy for others.

Transdisciplinary

  • Able to connect possibilities with process across disciplines.
  • Facilitation of diverse groups

Creative Thinking

  • The ability to conceive innovative solutions to new challenges
  • Able to find multiple ways to achieve a goaS

Ethics and Sustainability

  • Pursuit of Ethical values to contributes positively to society
  • Concern for community and the future health of the planet

AI Literacy

  • Knowing what you don’t know How to use AI to acquire knowledge, determine accuracy

Adaptable to Change

  • Being open to new methodologies, frequent changes
  • Attitude of lifelong learning

 

 

 

The Retro-Futurism of AI: A Glimpse Into the Compute Revolution

The Retro-Futurism of AI: A Glimpse Into the Compute Revolution

 

I did my undergraduate IT degree in the 1980s,  A time of big hair, and bold fashion, and in my second year in 1984 we were told that we were the first cohort to learn about this new technology and that it would change the world.
Back then computing was all BATCH processing on mainframes, but REAL TIME programming ushered in a new wave of architecture to allow transactions to be updated in real-time.

It kind of did – through automating INFORMATION (informed data). Fast forward to today, and we’re on the cusp of another monumental shift, this time in the realm of KNOWLEDGE efficiency, all thanks to Artificial Intelligence (AI).

So, what’s the big deal about AI and its insatiable appetite for COMPUTE power – perhaps very soon the most precious commodity in the world?
To simply AI technology, Imagine a towering four-layer cake:

  • CHIPS  At its base, Chips that power everything.
  • INFRASTRUCTURE, think massive computer rooms.
  • MODELS The third layer consists of Models like ChatGPT, Copilot, Gemini, Claude, and Grok
  • APPS Topped off with Apps, from image creation to role-playing games.

Nvidia might currently be leading the charge with AI chips, but tech giants like Google, Elon Musk’s ventures, and Facebook are hot on their heels, crafting their versions of smart AI chips.

In a nostalgic twist, we’re witnessing a return to the mainframe era, albeit in a modern guise. Microsoft and OpenAI recently threw their hats into the ring with a jaw-dropping announcement: a $100 billion project to construct a supercomputer dubbed Stargate. This behemoth, set to be completed in 5-6 years, promises to be a game-changer for training future iterations of GPT models.

 

But here’s a plot twist – these supercomputers, with their gargantuan appetite for power, can’t be confined to a single region. The energy demands are astronomical, to the point where discussions about nuclear energy as a power source are on the table. Many are suggesting that these new supercomputers will have to be housed next to nuclear power plants.  Check out the insights on this at Carbon Countdown: AI’s $10 Billion Rise in Power Use Explodes Data Center Emission

On the positive side, by 2028, we’re looking at chips that are ten times more efficient to run machines like Stargate, as detailed at IEEE Spectrum: Trillion-Transistor GPU

 

Now, $100 billion might sound like a king’s ransom, but for Microsoft, which owns 49% of  OpenAI, it’s just another day at the office.
Meanwhile, OpenAI’s CEO, Sam Altron, is on a mission to raise $7 trillion for AI chip manufacturing,

This technological renaissance, while echoing the mainframe era, is essentially cloud-based. As we stand on the brink of this compute revolution, one can’t help but ponder the implications of such concentrated power in the hands of Big Tech.  Open AI just announced an update to their voice Engine which allows AI cloning after only a few sentences.

One key issue is the massive energy requirements for AI super computers. The Energy Agency suggests that  current data center energy usage stands at around 460 terawatt hours in 2022 and could increase to between 620 and 1,050 TWh in 2026 — equivalent to the energy demands of Sweden or Germany, respectively.  This paper breaks it down by AI task.  Google is using Geo-thermal energy to power it’s Nevada data centres in order to become carbon neutral by 2030.

Will they usher in an era of innovation and progress, or are we heading towards a dystopian future à la George Orwell’s 1984?
The Open AI Safety policies and their voluntary commitments seem like a good start, but can they provide adequate governance for a technology that is advancing so rapidly?
Only time will tell, but one thing’s for sure – we’re not in the ’80s anymore.

Top 5 Fast Essay Writing Tools in 2024

Top 5 Fast Essay Writing Tools in 2024

As a student, balancing college tasks while also working part-time, I’ve tried out a bunch of AI writing tools for the past few months and found my top 5 favorites. So, if you’re in the same boat perhaps dealing with a condition that affects your writing, struggling to think of new ideas for your research papers, or simply being a busy person like me, juggling a job and studying and needing some help then these top 5 picks can save you time. Let’s start our list.

Blainy: Blainy is an AI writing tool that you can use to write your essays, assignments, research papers, and notes, utilizing its amazing features like suggestions, AI automation, citations, paraphrasing, built-in plagiarism checker, and AskBlainy. You can use all of its features for free on a daily basis as they give out credits daily, but if you want to purchase their paid plan, it’s $20 per month and $144 annually. And my rating for blainy will be 4.9/5.

MyStylus: MyStylus is a good academic writing tool that you can use to write essays, assignments and research papers. It uses smart technology to improve your writing style and fix mistakes. You can try it for free or choose from paid plans starting at $19.95/month. It’s easy to use and helps make your writing better. But remember, some of the best features come with paid plans. And my rating for MyStylus will be 4.6/5.

LumenWriter: LumenWriter is an AI tool for academic writing. It helps with content generation, research, and paper organization. While pricing is pending, its AI features simplify writing and support various academic tasks. Its key strength is combining content generation and research tools, making it valuable for students and researchers aiming to enhance writing efficiency and quality. My rating for LumenWriter is 4.5/5.

ChatGPT: We are all familiar with ChatGPT. It is a flexible and affordable language generation tool, perfect for creative writing tasks. While it does not write in user-friendliness and responsiveness so it may lack precision for academic writing. Overall, it’s a valuable tool for various language generation needs. I mostly use it for grammar correction, some new ideas, and so on. My rating for ChatGpt is 4.4/5.

Closerscopy: It is an AI-powered copywriting software designed to simplify the process of creating high-quality content. You can write your essays, assignments, research papers, articles, blogs and more on it. It’s a good tool but its very expensive so that’s why I don’t prefer it that much but overall its a good tool. It’s monthly price is 49.99$. My rating for this one is 4.4/5.

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