I don't know who all the people are that work on this app but I really wanna say thank you ! I tried many infinite canvas apps throughout my studies but yours is down to the point with some awesome extras. It's minimal, intuitive and NOT overpriced, which is kinda rare to find these days. I love the features with the schedule and the goal cycle, they are quite unique to an infinite canvas app. Keep up the good work and if u ever think u have to increase the pricing to match the cost, I think u could but don't overshoot it ^^
It's good mental effort when creating mental models. Here's some more on wikipedia if you're interested: en.wikipedia.org/wiki/Cognitive_load#Intrinsic
as someone who makes an effort to try and implement J Sung's methods in my own studying this video was so helpful especially as I was getting a bit overwhelmed with the amount of content and changing my old habits
Will the Ahmni team add more color scheme (I want to see Rose pine and Catppuccin being use) and add UX features like customiseable keybind and GUI? NVM this, I'll write it on discord Also, we love your video’s content, the topic discussed feel a bit new compared to what youtubes has to offer, having information in one place is much easier to learn from too.
I just find that as an adult learner, having a retrieval schedule feels tedious. My discovery was that if I integrated old mind maps into new mind maps, then the retrieval process would take place automatically. I call this "recursive mapping". So I always try to make all of my learning related (and as an adult learner, it should be already, since we aren't learning from a curriculum but usually to complete a task or project)
This is a good point, sometimes the distinction between retrieval and encoding is not clear, and both will be naturally integrated into project-based learning.
Your software looks interesting but much more expensive than Endless paper. Also not sure if you will have continuity in the future. No more promotion videos in a while …
Not yet, but it's in the works. You can export a high resolution JPG, tbh I think that's a lot better than PDF for large canvases. If you really want the JPG as a PDF, you can open it on your computer and "print" it to a PDF.
You naughty rascal... your knowledge in MMs impressed me and got me to download Ahmni. I went to your website and everything... to find out you do not have it for android. Can you make it compatible with Samsung tabs please?
An issue with this paper is that the students selected are inexperienced in concept mapping. We know that doing concept mapping to a high level is very difficult compared to free recall which is much easier to do effectively. Jimmy could be an extremely skilled concept mapper such that his encoding is super good and therefore he has minimal retrieval needs.
I see where you're coming from. A few counterpoints to consider: 1) A student could be skilled at retrieval practice, too. For example if concept mapping can be done from memory as retrieval, then any techniques that make someone a skilled concept mapper could also make them a skilled retrieval user. 2) Even if concept mapping could match retrieval, the paper demonstrates that *out of the box* retrieval is better. Why spend time becoming a skilled concept mapper when free recall would be as good or better with no required skill? 3) The mechanisms and effects of retrieval could be unique. While thinking about something deeply (concept mapping) encodes it, it could be that retrieving that information uniquely strengthens connections and organizes other connections for future cues. Thoughts?
@@AhmniAppHere’s an interesting discussion on specifically this argument and other arguments surrounding the paper: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-5cbQudbxHi4.html.
@@AhmniApp While a student can be good at retrieval using concept mapping and achieve high learning outcomes from free recall, you still need to encode information for it to be retrieved and the amount and quality to which a student can retrieve also depends on encoding ability which is why we need to have good retrieval AND encoding. It's also important to consider that in an academic setting, a student would have lots of information to learn and retain to a high level to get good grades so it would be better to encode it to a high level initially and then have a couple of retrieval sessions to maximise retention and knowledge mastery rather than passively learn it then need a lot of retrieval which would take up a huge amount of time.
All these maps are still only a model of how and expert in any field does or thinks about something. Something tangible which is almost exactly a mid map is a call tee graph from programming.
All these maps are still only a model of how and expert in any field does or thinks about something. Something tangible which is almost exactly a mid map is a call tee graph from programming.
My artistic skills are not great and hand writing worse. I get taking hand written notes is more optimal than just digital for learning by my hand written notes always just shamed me, for me digital is the way to go. I think this highlights a problems with Tony Buzan mind maps, is your creating a piece of art which is not back of the envelope reproducible. A digital mind map however can be more easily changed.
Novak Concept Maps. Here is the full description from the text on the subject experience level: > In the elaborative concept mapping condition, students studied the text in an initial study period and then created a concept map of the concepts in the text. The students were instructed about the nature of concept mapping, viewed an example of a concept map, and created their concept maps on paper while viewing the text. This is a typical way concept mapping is used as an elaborative study activity (16-18) What do you think about this?
@@AhmniApp I think that freely recalled concept maps may have been superior to just concept mapping since it involves high-level cognitive processes (for example, drawing connections or breaking the core of the material down to the most important aspects, visually and spatially, while analyzing the material and comparing and evaluating the material, simultaneously) as well as require one to recall the material implicitly, at least Edit: basically doing the mind map in your head and writing it down after finishing it
You're seeing the final version of this visual map! It started out messy with a lot of different ideas and took a few rounds of reorganizing and thinking to get to this point. Ultimately I decided to organize it around a Model-View-Controller software architecture because I felt that was intuitive and connected well to my existing knowledge of software.
Great video! How/where do you find all of these interesting learning papers? Also, is there any research on combining a bunch of techniques together and the optimal/good ways to do so (maybe not ideal for research, but better simulates what learners would probably do).
Hey Isaac, good point about combining techniques. It would have been nice if there were a fifth group in the experiment doing both concept mapping and revision. My own takeaway is that concept mapping is still an effective technique, better than passive studying. But even with concept mapping we shouldn't skip revision/retrieval/practice. > is there any research on combining a bunch of techniques together and the optimal/good ways Not that I know of... it would be really hard to do this systematically and scientifically -- varying only one variable at a time. > where do you find all of these interesting learning papers? The best place to find papers is in the References section of high level survey papers and books. Then it's pretty easy to trace through to other good papers by following citations on google scholar.
@@AhmniApp Are there any high-quality survey paper’s you recommend. (I think books are listed in your resources section, but are there any more scientific books?)
What are you interested in surveying? All of learning? Or something more specific. Most of those books you mention (www.ahmni.app/blog/learn-to-learn-resource-list) have a list of references at the end of each chapter. *Why Don't Students Like School?* is pretty scientific and has a lot of good references, but is aimed at teachers not students. If you want to go fully scientific you can look at textbooks like *Educational Psychology* by Anita Woolfolk.
@@AhmniAppProbably intelligent tutoring systems and adjacent fields. I found your video on that interesting. Do you have any citations/survey-paper’s for ITS?
@@AhmniApp Also, probably want to learn more on high performance learning for advanced students, and maximizing student learning as a tutor (private tutoring, Bloom’s 2 Sigma Problem). Thank you so much for the info!
Hey great video! I just used ChatGPT to create a list of keywords based on a reading that I was assigned so I can go about researching then creating my mind maps, do you think that is a good use of it or should I be sifting through the information more so myself and coming up with my own list of keywords? Thank you again for this information, I love hearing great minds and I hope to hear from you soon!
Yah that's a great use, I think finding initial keywords should be as automated as possible. Searching through text looking for keywords, when you don't have enough background knowledge yet to be doing evaluative processing, is tedious and probably a big waste of time.
hello, i am interested in in your app, but i am worried if i will be using this app as my main app for my notes if ever this app might be gone in the near future. How secured will my documents be?
That's a reasonable concern. 1) Ahmni is a sustainable app that has been built with longevity in mind, 2) More export and backup features are planned to make it easier to transfer notes to other apps.
Unfortunately there is currently no one time purchase available. There is the offer code SUMMIT to get 50% off the first year* *international pricing may vary
Scaffolding goes brrrr 🔥🔥🔥. Could you please do a video on encoding and revised Bloom's taxonomy? I feel it so hard to engange on the higher level of the taxonomy while concentrated on understanding what material even says ;u;, ty<3
> Scaffolding goes brrrr Pretty accurate summary of the paper > I feel it so hard to engage on the higher level of the taxonomy while concentrated on understanding what material even says Human ability to do this is pretty limited. We have really limited space in working memory where we do our reasoning, and new concepts take up a lot of that. To make it easier to reason about something we want to reduce the amount of working memory it takes up, freeing room for reasoning. We can do that through chunking, offloading (draw it out visually), proceduralizing (muscle memory), and connecting to already known information. I'd recommend trying to understand the concept first through drawing, concisely summarizing in your own words, generating an analogy, or chunking... ideally written/drawn out explicitly on a canvas. Then with that explicit understanding and representation in front of you, perform higher level analysis, evaluation, application, etc.
Hello, I wanted some advice. How can I use any of the 3 mentioned mind mapping (MM) for highly factual concepts? For eg, Qs: "Describe the detailed procedure for construction of a highway in a hilly terrain." Here, I am expected to write all the steps (say 10) and explain them for at least 6-8 lines and there are lots of pure facts that must be remembered for eg. the trace cut path way must be 1.2 m, ruling gradient up to 5% for above MSL 3000m etc... My point is there can be so many facts that you can't write in a MM and that the question doesn't test knowledge on a higher order level, its basically asking to cut and paste a portion of the text book. I realize that the steps themselves can be recalled in a broad sense using a MM but how to deal with such density?
It's almost always useful to have a high level understanding of the topic before memorizing anything. For example for definitions the goal is to understand the topic so deeply that you could come up with the definition yourself, not regurgitate something memorized. If you still need to memorize, even after deeply understanding, a few popular memorization techniques include: Chunking (mindmaps), mnemonics, method of loci. To chunk 12 steps you might break them into 3 groups of 4 that make logical sense to you, and then break each group of 4 into 2 groups of 2 that make logical sense to you. Then instead of recalling the individual 10 steps you start by recalling the chunks and reconstructing the mindmap. To use one of the methods of loci you could come up with a memorable story, location, or picture that captures each of the elements in the list. Then finally it's important to practice retrieving this information either directly (memorization) or through manipulation and application (understanding) with spacing.
It depends. The downside with Novak’s approach is that you won’t always have a focus question in mind. In that case using Justin’s method of inquiry (why’s this important, how does this relate to other things I already know?) works better because you can then think of focus questions a posteriori rather than a priori.
It's always smart to decide what your goals are and work backwards from there. GRINDE maps are marketed as a tool that improves processing, deepens understanding, and potentially improves memorability. However there are other good mnemonic devices out there for memorization, and other revision techniques for skill-based knowledge. But, yah, I think they'd be useful for that situation, in addition to plenty of revision.
Yah definitely. New education technology is usually branded as "disruptive" and promises to upend the status quo but ends up being used much more subtly to make iterative progress. Teachers aren't going away anytime soon. The best outcome will be AI making teachers slightly more effective or certain disciplines more accessible. For a history of all the previous promises of disrupting education and teachers (e.g. MOOCs) see the books: - 25 Years of Edtech - Failure to Disrupt: Why Technology Alone Can't Transform Education Do you think this is something you (or other people) are worried about?
@@AhmniApp interesting thoughts thanks for sharing I did see a video entitled with it and there is a lot of talk if programmers or tech will eventually will be replaced through AI Personally I’m not worried it just makes me think I want to be able to adapt Because I think it will change a lot of different areas
don't usually comment very much but this is stellar! i'm already expediting my learning process through anthropic claude by using the system of question answering you described. naturally, claude tests my mental model against current scientific thought. annoylingly, science often contradicts itself on the internet since most of the juicy knowledge of course is behind paywalls. it would be great if paywall jargon was drip-fed to the student and well, essentially, this will enable a generation of young people (including myself) and will of course, supply valuable training data to future AI's so they can observe the patterns in how we weigh the english dictionary or as could also be said, following the money haha. i distilled the idea some few days ago that prompt engineering would be the future of innovation in-fact, since A.I. would be doing all our math for us and welll, if you think about it, isn't all of this just math with feelings :^D?
> most of the juicy knowledge of course is behind paywalls LLM companies are not known for respecting measures to prevent scraping. There is a good chance paywalled papers and books were used in LLM training. > that prompt engineering would be the future of innovation Certainly crafting the correct inputs to machine learning algorithms has been key for a long time. But if we look outside of Natural Language Processing at the more mature field of computer vision, the necessity of feature engineering inputs has massively decreased over time as models have become more capable and robust. I think this will depend a lot on your definition of "prompt engineering" and interfaces for the specific use cases being discussed.
@@AhmniApp >that really makes me quite happy to be honest, open sourcing knowledge is very desirable. >i suppose the concept of pure probability or that connotational component of humans that sees the distant future between seemingly unrelated terms. i imagine the essentia of creativity is that it is a unbound by time itself and that the only change that will come in society will be found in thinking is absurdly novel ways. i imagine most of the education i imagine Ahmni facilitating will be in catching people up to modern archiecture and modern thinking landscapes whilst the true innovators will be people such as yourself who can think of ideas for a superintelligence to try out.
