H5P is a javascript-based framework that is used to enhance the learners’ experience with interactive learning technology. It allows the creators to use interactive learning tools such as multiple choices, quizzes, true or false, and etc. on their education platforms like BrightSpace, BlackBoard, Canvas, and many others.
The below is an example interactive learning tool I have designed for an art class.
Using H5P
Using H5P was quite straightforward for me. I have so many experiences of using interactive learning tools in my educational sessions. However, it was new for me to design one from the teaching perspective, there was a lot to consider and a lot of new technology to absorb.
One thing I noticed is that while the simple interactive design methods are simple, the complicated methods require more software familiarity from the users. If I were to use a simple method such as true and false where I would enter the question and mark whether it’s the correct answer or not, the system design was simple and easy. However, when I tried to use the feature like drag and drop, or connecting objects, my lack of experience in using this software became a barrier to me trying to use it. I think it would have been nice if there were some sort of simple instructions on where to put the text and how to create a field to drop, etcetera.
On the other hand, I liked how good the result turned out to be in comparison to how much effort I had to put in (in terms of designing the format, not the content), I think it would have looked much nicer if I had prior experience working with H5P.
Especially since my topic covered a lot of arts and different artists, I think using an interactive learning design can help the learners differentiate which art was done by whom by doing a true/false and multiple choice. It would have caused confusion if it was just a text post.
Last thing I really liked about this tool is that it had the default required feature where if you input an image, you have to put a descriptive text for it so it can play the text-to-speech feature if the learner wanted.
Since this would be done on the online platform, I automatically assumed the learners would not need the visibility feature, but having that required descriptive text reminded me that some people might need assistance, I appreciated how the H5P was being considerate of assisting people of a minority.
The attached document is a learning plan I have designed for the H5P I made.
Along with the fast innovation of technology, AI technology has progressed a lot further than people have expected it to progress. The basic ideas started in the 1950, but it actually became very popular in late 2010, and I believe it’s still rapidly increasing, especially after the introduction of ChatGPT, Grammarly, and other AI media that people could easily access.
SOUNDRAW
I have tried ChatGPT before to get some ideas on my research paper topics before. I had rough ideas, but I couldn’t connect them together and I remember ChatGPT being a big help in putting my clustered ideas together.
So I wanted to try something new, and I got interested if there were generative sound AI’s. So I explored a few areas and found a generative AI called Soundraw.
It first made me choose the length, tempo and genre of the music I was looking for.
I think it was trying to get a rough idea of what I wanted, I went with 3:00 minute and deselected slow, and selected a pop genre.
After, it led me straight into a page where it displayed multiple music right away.
I could edit the length, tempo, and genre I selected in the beginning, and I could add even more descriptive ideas to it, such as selecting lovely, happy mood, and even themes. I would try listening to it, edit the volume mixer, and skip to parts I wanted to skip to, add to favourites, share, block, download, and else.
I was obviously restricted from doing some activities, which is enabled after paying for membership, and downloading the generated audio was one of them. However, while I was exploring what I can do for free, I noticed that in the membership, it allows you to keep the license forever, as well as distribution to popular music streaming platforms such as Spotify and Apple music. And the “owner” gets to take all recording royalties.
This is where it made me question the ethical considerations on the generative AI.
There are many ethical considerations of generative AI. Data usage, privacy, biased results, decision making, and others. In this post, I want to talk about ethical considerations in art.
Unlike the text-to-speech generative AI, other art-type generative AI such as AI generated pictures, videos, and sounds could have copyright considerations. The generative AI is known to learn from the input data – which often includes human work. And in an area where copyright is very important, such as artwork, music, and such, AI can generate things so easily very fast based on things it learned from – a human’s work without consent. Consuming on generative AI that learned from other people’s work without the artists’ consent is now creating art that at faster speed, as the user wanted without question, and even for free. And for some generative AI, like Soundraw I have showed above, they even grant the license to the buyer and gives them the right to distribute on public platforms, with the royalties.
An AI that learned from media without the artists consent, creating similar artwork, and granting the license to the user who only input the command line. If this is not resolved, the art industry will soon run out of real-people business. I don’t think this should be allowed. Not only it steals the data from the creditted artist, it also makes the people in the industry to have less jobs because some customers would not commision them anymore, which directly connects to their social determinants of health. Same goes for sound generative AI too. It will learn from many songs that people created, and produce sound in less than a minute, and if you only pay $30, you can take its full license.
Is it really right for the buyer to take the credit? When the AI learned based off many real-people’s work?
Students: The audience of this blog post is for people who are interested in hand-knitting basics. I introduced how to make a foundation chain (aka starting chain), how to create foundation loops, and how to add rows on top of them, as well as how to finish them. There are many patterns in knitting and my video would be great for the starters before they take on the complicated patterns.
Ease of use: As my video was designed for the beginners, it will not require any skills or training. It will only need the material which people would already have by the time they would search up the video or consider buying.
Cost: The only cost of my video would be the yarn they will be using for their own project. Because the video does not really produce one set material for a certain project, the cost really depends on how big of a project the audience wants to do. If they would like to make a simple lap blanket, just one big yarn would be fine which would usually cost about $10-$20, but if they want to make a full sized blanket, they would cost about 12 yarns or more which would easily go over $100.
Teaching: I feel like what I have showed was a good content. However, it could definitely get way better. Because I didn’t have a place I can comfortably record, I was stuck on my desk with a desk camera. If I was able to move the angles up closer easily, with smoother lighting, it would have helped the audience so much better, especially because if you’re only just starting to learn how to knit, it can be really confusing since there are many, many, many hooks.
Interaction: Since my content was more like a “watch and follow” learning, I wouldn’t say it was a passive-learning interaction. Rather, I would say it was an active interaction for the audience and the material of my media, as it is most likely to make them craft it on-hands.
Organizational issues: There would be no maintenance my content will require as long as YouTube allows me to keep it posted. It does not use any form of software other than its published platform, does not involve any method that could cause me an onganizational issues.
Networking: I’m not sure if I can broaden the network using the medium I created as it is very specific to knitting. However, it will be a lot easier if the course setting was in a small group of people, such as 2 to 20 people in one long table, so the instructor can walk around and help people as it involves complicated handworks. For people who were not able to make it, they can watch the video and learn, but if they ever have questions, they might struggle until they need to watch other videos or meet the instructor in-person again.
Security and privacy: The video can be watched alone, and could be shared online. Because it is posted based off the university-approved website, it would be confident to say it is secured and safe to use.
I remember when I was a child, I read a book about ballerinas. I believe it started with a picture of beautiful people on the stage, starting with the grow-up story of one of the most popular ballerinas in the world. When I turned the page over, it showed me the feet of the people in the ballet industry. Then I remember the book saying something like “you may see a swan floating on the water with grace, but when you look at them closely, they are paddling madly underwater”. Starting off with showing a pretty side of a real person who was well-known in the industry then moving to the things they had to work very hard on, and lastly leaving a related message felt highly impactful when I read it. When I was going through the materials for this week, this memory that I had forgotten until now just popped up on top of my head, I thought learning by storytelling is quite effective and impactful.
Using Twine
A sample story made using Twine.
It seems that Twine features a technique where it allows the learners to be actively involved by allowing the creator to make a story and a few selections based on the learner’s input. This would help them pay more attention as it requires a follow-up action to learn. However, the process of creating a story from the creator’s perspective was not the best. Also, if the creator is not familiar with HTML or CSS, it seemed like there would be a limited design of the result from what I’ve experienced.
It doesn’t open up with some useful shortcuts, and it doesn’t show the creator how to connect from story to story easily unless the user actively searches up for it. I also did not like how the text boxes kept opening on top of each other, the transition design seemed smooth but putting them on top of each other felt really overwhelming and unnecessary. I also wish it had arrows in different colours so the creator can easily tell which process will go to what follow up process story.
Overall, learning with Twine would be helpful for the learners as it allows the learners to be actively participating in order for it to run. However, the learners could also feel bored easily if most of its content is going to be text without any special animated effects, video, images, and such. And most of these features would be able to be used if the creator is somewhat familiar with CSS and HTML. From the creator’s perspective of who might use this website, there were many areas of improvement that could be worked on. At this rate, it might be better to have a Google slide where if you press an area, it navigates you to someplace.
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