https://youtu.be/e1_s699cBE0 openelms.ai is an eLearning creation system which delivers learning courses of breathtaking quality from a single line of text. This Adobe Captive / Articulate killer is a read game-changer for education and corporate training. The system is due for release at the end of April 2023.
Artificial Intelligence can create elearning in seconds – we will show you how This video demonstrates the unique systems and services used by Open eLMS to produce truly engaging e-learning. See www.openelms.ai for further details. Other links of relevance include: MidJourney – excellent image maker Dalle-2 – Open AI’s alternative Chat GPT – need we say any more? D-id – talking heads for eLearning descript – voiceover using text in your own voice openelms.ai – eLearning with a single line of text
In this video, Emil Reisser-Weston – Open eLMS Product Director – discusses how AI will shape the EdTech industry with references to openelms.ai.
Introduction Artificial Intelligence (AI) has been rapidly transforming various industries, and eLearning is no exception. With AI-powered tools, elearning content creation has become faster, easier, and more personalized than ever before. In this article, we will explore the benefits of AI in eLearning content creation and how it can improve the learning experience for students. Personalized Learning One of the most significant benefits of AI in eLearning content creation is personalized learning. With AI-powered tools, educators can create personalized content based on a student’s learning style, preferences, and performance data. This allows students to learn at their own pace and level, improving their engagement and overall learning outcomes. Personalized learning also helps educators identify knowledge gaps and provide targeted interventions to improve student understanding. Increased Efficiency AI-powered eLearning content creation is more efficient than traditional methods. It can create content quickly, accurately, and consistently, allowing educators to focus on other aspects of their job, such as teaching and engaging with students. This efficiency saves time and reduces costs, making eLearning more accessible to a broader audience. Elearning can be created in seconds using openelms.ai Enhanced Engagement AI-powered eLearning content creation can significantly enhance student engagement. With interactive content, such as videos and simulations, students are more likely to retain information and engage with the material. AI-powered content can also adapt to a student’s performance, providing feedback and adjusting the difficulty level of the content accordingly. This personalized approach can improve student motivation and interest in learning. Improved Accessibility AI-powered eLearning content creation can improve accessibility for students with disabilities. For example, text-to-speech technology can convert written content into audio format, making it accessible to students with visual impairments. This technology can also benefit students with dyslexia or other learning disabilities, providing them with alternative ways to learn and engage with the material. All openelms.ai courses include voiceovers and video presenters in up to 27 different languages Consistent Quality AI-powered eLearning content creation provides consistent quality across all content, regardless of the amount produced. The use of AI-powered tools ensures that content is created in a standardized format and is free of human error, ensuring high quality and accuracy. This consistency is essential in eLearning, where learners expect high-quality content that is easy to understand and learn from. AI elearning creation tool – openelms.ai – produces elearning of consistent quality Cost Savings AI-powered eLearning content creation can be cost-effective for educational institutions. The use of AI-powered tools reduces the need for human labor, saving time and costs associated with traditional content creation methods. Additionally, AI can generate content at a faster pace than humans, enabling educators to create more content in less time. Conclusion AI-powered eLearning content creation has numerous benefits, including personalized learning, increased efficiency, enhanced engagement, improved accessibility, consistent quality, and cost savings. With AI-powered tools, educators can create engaging and effective eLearning content that meets the needs of individual learners, providing an optimal learning experience. As AI technology continues to evolve, we can expect to see even more innovative solutions for eLearning content creation.
AI has taken a lot of media attention of late. What I’d like to do in this article is to cut through the hype and show you 5 products which will dramatically affect your approach to EdTech in the coming months. These products (or similar ones) will be invaluable to you whether you are a manager, content creator or consumer of edTech content. We will then examine where this fast-moving field is heading and what exciting and truly remarkable developments you can expect in the near future. Chat GPT Chat GPT – now serving as the flagship of AI – has been adopted at a rate never seen before in the history of the internet. To reach a million users, Netflix took 3.5 years, Twitter took 2 years, Facebook took 10 months, Spotify took 5 months, and Instagram took 2.5 months. Chat GPT took only five days to reach one million users. Only two months after its launch, it had 100 million active users. The best way to explain the success is to use it, visit https://chat.openai.com/chat and ask it to write you a Shakespearean sonnet, a pub quiz or summarise War and Peace in 200 words. If you have not done so, so it, take your jaw floor and then start to have a conversation with it. Ask it to change the sonnet to a song by Bob Dylan, make the pub quiz about the 1980s or ask for the book summary to be condensed to 50 words. The engine adapts and will bend to your wishes. It is not a search engine; its answers are generated from scratch each time rather than regurgitated from a website. So how can this apply to edTech? Ask Chat GPT to construct a curriculum, write a training script or a quiz on any given topic. The results may not always be quite what you are looking for, but they can be edited and are generally pretty good. Chat GPT does this by absorbing vast quantities of data from forums, posts and websites and it is constantly fine-tuned by human feedback. It also knows about learning styles and pedagogical models, selecting the best approach for the training material. It may not be perfect, but it’s getting close. You can of course find holes in the interpretation of facts, but the point is that AI engines such as this one are growing and training themselves all the time. They are getting better to the point that in 6 months’ time, the results we are seeing now will be primitive by comparison. The time to get used to working with an AI engine is no. I would also say that despite bad press, Google is coming back into this space with its engine Bard. They have been working a lot longer and buying up experts in this area for over 10 years now so I’d look into their offering with interest when it’s launched. Midjourney Midjourney is one of the most fun AI tools on the market at the moment. Midjourney is an image creation AI engine which has been trained on millions of images in a variety of styles and uses that knowledge to create images from scratch. Midjourney works through the Discord chat engine, simply add the Midjourney server and type an /imagine command, here you can see 4 examples it has given, these can be enlarged and utilised in elearning to create immersive environments in which you can place your training. There is no need for any design input, simply type in the description, desired aspect ratio etc and voila: an image is born! Midjourney has a gothic feel to it, if you don’t mind a bit of ‘drama’ in your images. If that’s not for you, then other image creation tools do exist (e.g. DALL-E from Open AI the people behind Chat GPT) but we have found Midjourney gives the most impressive results. Microsoft Power BI / Excel / Google Sheets It may surprise you to see these data analysis tools listed in an article about AI, but AI has been embedded in these systems for years. AI can be used to ask natural language questions about the data to get meaningful results. For instance, in Google Sheets hold down Shift + Ctrl + X and you will now see an Explore menu come up on the right-hand side of the screen. Use this to ask questions directly from the data; for example, what is the most popular category, or how many subcategories are there? It will also automatically create graphical views of the data. Learning Management Systems will increasingly move to adopt this method of analysis rather than putting the onus on the user to create data views and analyse reports. I believe you will see features like this in your LMS (as well as your connected Management Information Systems) very soon. Mykeyworder Mykeyworder is a handy tool for ‘reading’ images. The traditional view of image data is that the image itself is a blank slate; you would need a human to analyse the data and add a list of keywords to describe the image. AI – and specifically mykeyworder (www.mykeyworder.com/) – can automate this process. It has an easy-to-use API which can link to your application to bring meaning to your imagery. This will enable content curators to compile a list of imagery to be used for learning purposes and learners to search the same repository for appropriate content. D-id D-id (www.D-id.com) allows you to create video presenters from text or uploaded voice. Editors can upload the face of anyone and it will create a video character. The videos it creates are convincing, using lip synching technology with any pre-selected voice. The video can be downloaded and used in elearning or as stand-alone resources to add personalisation to learning content. Other Tools I have previewed my favourite AI tools, but there are plenty more which we are using on a daily basis to shape the Edtech systems and
AI models such as Open AI’s ChatGPT and Google’s Bard are powerful language models that have been trained on a vast corpus of text, which makes it well-suited for writing e-learning scripts. Sophisticated machine learning algorithms allow AI to ‘understand’ language and structure used in educational content, making it capable of generating clear, concise, and informative e-learning scripts. In layman’s terms, what AI does is predict your next word (similar to autocorrect on your word processor) but it does it very, VERY, well. So well in fact, that the output it gives is often flawless. Here for an example is a sonnet written by ChatGPT about Open eLMS and how it can create elearning using AI: Oh, Open eLMS, fair EdTech company, Whose AI-generated e-learning courses bright, Doth give students worldwide opportunity, To learn, to grow, to spread their minds’ great height. Through wond’rous use of language processing tech, A single line of text becomes a course, The material flows smooth without a wreck, And all who study find they can endorse. The student may be from the farthest shore, Or close at hand within their home’s four walls, But thanks to thee, they can pursue and more, Their passion for knowledge, without any stalls. Thus, Open eLMS, through thy efforts grand, Doth spread the light of learning through the land. This took far less than a second to ‘compose’ – not exactly bard-like (apologies to Google) but still, very impressive for a first go. One of the key advantages of using AI for e-learning development is its ability to generate content quickly and efficiently. The model is capable of generating large amounts of high-quality text in a short period, which can be particularly helpful when creating e-learning content on tight deadlines. Additionally, AI can generate content in multiple languages, making it an excellent option for those who need to produce e-learning content for a global audience. Another benefit of using AI for e-learning scripts is its flexibility. The model can be customized to the specific needs and preferences of its users. For example, AI can adjust the tone, complexity, and style of its writing to match the audience and purpose of the e-learning material. This means that the model can produce scripts that are appropriate for a variety of learners, including those who may have limited knowledge of the subject matter. Moreover, AI’s ability to learn and adapt to new information makes it an excellent tool for creating e-learning scripts. As more content is generated and input into the model, it becomes better equipped to generate high-quality text that is both informative and engaging. This means that AI can help e-learning content creators stay up-to-date with the latest research and best practices in their field without repeated investigation and rewriting of the content. In conclusion, AI is already being used to write e-learning scripts and results have been very impressive. AI generated script with background images AI is not however limited to text generation (it created the image for this article for instance.) Open eLMS is currently going one step further and integrating AI into the design process, whereas content and design are generated for the elearning at the same time. Early results have been very impressive, watch this space for the latest on Open eLMS AI.
If you have yet to see the impact of Artificial Intelligence now on EdTech, in the coming months you will see a dramatic change in Q1 and Q2 2023. The change is already happening swifter than most had imagined; with 6 weeks ChatGPT has gone from a party trick for geeks to dominating the headlines around the world. AI is not going away, but how will it affect the job market within the EdTech sector? Open eLMS are implementing AI in everything we do and here are five new jobs that we have identified as being high in demand in the coming year: 1. AI integration consultant: As AI continues to revolutionize the education sector, organizations are looking for individuals with expertise in AI and education to help integrate these technologies into their systems. This role is not necessarily technical, what is required is a firm understanding of client needs and knowledge of the potential solutions available. 2. Personalized Learning Coach: Personalized learning is a growing trend in education, and AI is playing a significant role in making this possible. Personalized learning coaches can use AI-generated insights to build learning specifically tailored to an individual’s needs. Open eLMS AI is doing this with AI, building an entire curriculum of learning based on text-based queries. A good knowledge of the training needs and good writing skills is needed for this role. 3. Virtual Environment Creator: As AI tools add immense graphical power to EdTech development, there is the need to up the game. The elearning suppliers will sell in a years’ time will be incomparable to the learning materials sold presently (think more PlayStation 5 than PowerPoint). To this end designers will need to use the AI to create engaging and interactive virtual environments using technologies such as Unreal Engine and AI Example Open eLMS environment 4. Educational Data Scientist: With the increasing amount of data generated in the education sector, there is a growing demand for professionals who can analyze and interpret this data. Educational data scientists use machine learning algorithms and statistical techniques to analyze student performance data, providing insights into areas of improvement and identifying trends in student behavior. Learning Management Systems will be the data source for driving management decisions via the insights bought through AI. The Educational Data Scientist should have a good understanding of the business and be aware of what questions to ask to affect real change within an organisation. 5. AI-assisted Instructional Designer: AI-powered technologies are being used to create more personalized and effective learning experiences. AI-assisted instructional designers use AI to design instructional materials that cater to the unique needs of each student, ensuring that they receive a customized learning experience. Such designers will need to focus on information design and use the AI tools to develop content. There will be more emphasis on the requirement for checking the content as AI assisted learning development does a lot of the heavy lifting. In conclusion, AI is creating new job opportunities in the Ed Tech sector for human beings who possess the right skills and expertise. These jobs offer a chance to make a difference in this daunting and AI driven future that we all face today.
The media is abuzz with excitement about the potential of Artificial Intelligence (AI). This raises an important question: is the hype justified? Will AI take away our jobs, or will it make our lives easier? How will it affect EdTech? The hype around AI is justified! Anyone who has used AI-driven tools can attest to the incredible power of AI. AI is like having a hundred interns all working for you, doing tasks such as writing learning copy and creating production quality media, indeed AI is ideally suited to the creation of content such as voiceovers, images and video. Open eLMS will soon release an update of its elearning authoring software which will combine all these features to produce elearning courses on any subject in seconds. Open eLMS Creator AI generated elearning If this sounds like there will be soon many redundancies as a result, I don’t think this is the case. At Open eLMS we are using the extra capacity to add more icing on the cake (indeed we are hiring more staff to take advantages of the opportunities that AI brings.) The additional time allows us to add microlearning and tailor the learning experience for each client’s needs. AI can also be used to create elearning courses with higher production values than ever before. AI will revolutionize the way we teach, learn, and access educational resources. AI-powered technologies can be used to create personalized learning experiences, provide targeted instructional support, and create adaptive learning pathways. Can you imagine a future where a student requests a curriculum on any given subject, and high-quality interactive media is produced tailored to each student’s need. That future is here … within the next few months. Watch out for it!
Many thanks to everyone who came and saw us at the WOLCE show in Birmingham UK today. It’s great to get such a positive response from the industry. A common theme was “you’re so far ahead of the competition”. The comprehensiveness of what we do – a Learning Management System with integrated forms, courses and course editor – was a real surprise to many and it’s great to be able to say “yes” to any queries. We will continue to strive to improve and enhance, but its rewarding to see how our designers have got it right over the last few years by listening to you!
eLearning WMB are carbon reducers, with a net carbon reduction of 500 times more than the company emits. The management team wants to do more where possible and as such contributed a day last year to brainstorm carbon reduction ideas. The following idea – a wind turbine which works 24/7 with no wind – is being freely made public in the hope that it may one day be built. Premise Wind power as you know has the ability to power the world (at least the UK) but the problem is that they only can run 70% of the time. If there was a way of ensuring wind turbines ran 24/7 then this could be the key factor in going carbon neutral. Solution Floating off shore wind turbines have been a reality for over 10 years. They can float in deep waters (would require 100m depth) and can be very large as noise is not a problem. Now if we modify the design to add a weight to the device (25,000 tonnes), we can achieve this by adding additional ballast to the turbine – retrofitting existing turbines would be easy. This also has the effect of anchoring the turbine allowing for the construction of larger and more stable turbines. The weight is connected to the turbine so that in cases of excess wind instead of stopping the turbine, the extra energy goes into lifting up the turbine. This is a mechanical process and as such is a highly efficient way of storing energy. When there is no wind, the weight is lowered, this rotates the blades and generates electricity when it’s calm.. With monitoring of weather patterns the load could also be used to power the turbine in low wind conditions at the maximum safe velocity. This would ensure the greatest efficiency possible from the system. Other Ideas Decommissioning Oil rigs.There are nearly 50,000 off shore rigs in the world. They are among the most productive fish habitats in the world so to scrap them would be extremely harmful to the environment. Turning such devices into wind farms will protect the environment and generate energy. Onshore The same can be applied on ground. It would involve digging 50m deep holes of 30 diameter but could be worth considering in landlocked locations. This was my first idea but was dismissed due to stability issues with turbines and the cost of excavation. Conclusion Unlike other gravity battery ideas, this involves simple gearing and software (to monitor weather conditions and adjust relative energy distribution.) There is no need for complex robot winches, deep mines or the waste of energy to convert wind power to electricity to potential energy and then back to electricity when needed. This solution is large but efficient. The building of just 1,300 mega wind turbines would supply the energy needs of all UK households, this is based on existing energy calculations – this figure would probably be reduced to around 1,000 once the increased efficiency of the system was taken into account. Looking at the cost of floating offshore wind turbines (the average floating offshore farm of 150 turbines costs £1B). Assuming higher costs for this nascent technology, the cost of this project would be around £15B or around a fifth of the cost of HS2 or a 1/22 the cost of a bridge to Ireland.
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