{"id":271,"date":"2023-11-12T18:28:29","date_gmt":"2023-11-12T23:28:29","guid":{"rendered":"https:\/\/c3eo.us\/?p=271"},"modified":"2023-11-12T18:39:34","modified_gmt":"2023-11-12T23:39:34","slug":"its-not-mma-its-mmla","status":"publish","type":"post","link":"https:\/\/c3eo.us\/es\/2023\/11\/12\/its-not-mma-its-mmla\/","title":{"rendered":"It\u2019s not MMA \ud83d\udc4a, it\u2019s MmLA! \ud83e\udd2f"},"content":{"rendered":"<div class=\"wp-block-image is-style-rounded\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"850\" height=\"160\" src=\"https:\/\/i0.wp.com\/c3eo.us\/wp-content\/uploads\/2023\/09\/CyberneticShockframe.gif?resize=850%2C160&#038;ssl=1\" alt=\"Futuristic Graphics for decoration only.\" class=\"wp-image-18\"\/><\/figure>\n<\/div>\n\n\n<p>While the acronym for Mixed Martial Arts (MMA) has started to become something of a household name, Multimodal Learning Analytics (MmLA) isn\u2019t quite there yet. And probably won\u2019t be in the majority of households anytime in the near future. But the use of MmLA may become a classroom standard soon. Especially with the growing adoption of Artificial Intelligence (AI) in Learning Technology (LT).<\/p>\n\n\n<div class=\"wp-block-image is-style-rounded\">\n<figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/onedrive.live.com\/embed?resid=186C3F7E1D0A7154%211100&amp;authkey=%21AAj2_vZotnTWpNQ&amp;width=1024&amp;height=1024\" alt=\"Fictional cyborg MMA instructor with the class working out in the background. \" style=\"width:488px;height:auto\"\/><figcaption class=\"wp-element-caption\">Cyborg MMA Instructor concept<br>Created by DALL-E via Bing by my request<\/figcaption><\/figure>\n<\/div>\n\n\n<h1 class=\"wp-block-heading\">We live in a multimodal world<\/h1>\n\n\n\n<p>Everything we do is \u201cmultimodal\u201d by definition. We humans have 5 basic senses we\u2019ve been using since birth \u2013 sight, hearing, smell, touch, and taste. This combination of senses is how we make sense of the world around us. When we combine the information that is coming from these senses with past learned experiences and behaviors, we can start to intelligently interact with our environment and adapt to the perpetual changes we meet. For example, seeing and smelling a pepper can make us recall the hot taste that may have burned our tongue last time we had spicy food, and make us want to try it again. While some may infer that isn\u2019t a very \u201cintelligent\u201d thing to do (burn your mouth with hot peppers), this combining of real-time information with information stored and now retrieved and applied is the very definition of intelligence (Merriam-Webster, n.d.).<\/p>\n\n\n\n<p>If we are to truly have artificial general intelligence (AGI)&nbsp;(Kanade, 2022), then we must have an artificial means of compiling the multimodal data that the AI entity will have to deal with, and this must be done in real-time. Therefore, multimodal intelligence (MMI) <em>is<\/em> AI. Ergo, extrapolating to the use of AI in the learning environment, MmLA will lead the way in implementing interactive educational AI. Just as you or I learn and adapt to the multimodal sensory data with our mind\u2019s previously learned experiences, the LT will need MmLA to essentially be its mind to intelligently learn, adapt, respond, and interact with the learner it is trying to help.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Feedback, yes. But when?<\/h1>\n\n\n\n<p>Providing feedback in a timely manner is crucial in an instructional process. Too little feedback or feedback at the wrong time, and that feedback is wasted. For example, \u201cstudy more\u201d is technically feedback but it is woefully too little and not specific enough to truly be of any help. Likewise, providing a detailed list of what to study more and where the materials to study could be found would be fantastic, so long as they are provided in time to be used before the exam takes place.<\/p>\n\n\n\n<p>Ochoa describes a real-time feedback system for a public speaking student in the chapter (Ochoa, 2022) as a representation of the type of system where MmLA could be used to create an automated tutor system. This example of providing feedback, perhaps on a heads-up display (HUD) or on-screen prompt for the presenter\u2019s display, is a way to show why a MmLA system must be agile and work in real time. If this coaching experience is to have maximum impact on the student presenter\u2019s growth, it should happen while the presentation is going on so the student does not have to try to recreate the scenario afterward with a mental picture that will fade within minutes of the presentation\u2019s end.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Challenges abound<\/h1>\n\n\n\n<p>While the field of MmLA is not new, it is not mature yet either as many of the technologies it relies upon are evolving as well. Just since the \u201covernight\u201d success of OpenAI\u2019s ChatGPT (Hu, 2023) have the public been so interested in AI as a real thing and not just some whim of science fiction writers as a plot device. However, with these other elements of AI starting to make leaps and bounds in capability and availability, MmLA is on the cusp of being the beneficiary of that growth provided the MmLA user community plays their cards just right. Ochoa mentions several methodological proposals to standardize the terminology of the research so that teams working on the next big thing in MmLA can pull together in the same direction, and not continue to feed the eddy currents of unstructured research.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">The Practicum<\/h1>\n\n\n\n<p>Bringing together the multiple modes of data input, combining these into a coherent decision-making process that can synthesize an output that is relevant to the topic at hand without creating a privacy problem.<\/p>\n\n\n\n<p>With the world moving more online and digitized every day, there are rising concerns about personal sovereignty over the things that make us unique (Su, 2022). When a MmLA-based AI tutor interacts with a student (especially a minor) and starts to store those experiences in order to learn, track, and support that student, the privacy concerns of that student\u2019s data is gaining greater importance in the level of confidentiality that exists between the AI and the student. It will be better to address these concerns from the beginning, than spend a lot of time developing something that is handicapped by policy changes later.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">What Surprised Me<\/h1>\n\n\n\n<p>What surprised me here is that the notion of multimodal AI has been the silent elephant in the room during my entire learning experience with AI up to this point. It hasn\u2019t dawned on me that the narrow AI I have been accustomed to working with has focused on a single input single output (SISO) format when (now that it has been pointed out) everything we do is multiple input multiple output (MIMO). If we are to truly have \u201cdroids\u201d or robots walking and working among us, they will have to be MIMO creatures as well. So, this notion of MmLA should not be squirreled away in a back room somewhere, it should lead the charge in Human-Machine Interactions (HMI).<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Eureka! \ud83d\udca1<\/h1>\n\n\n\n<p>Mentioned in the text&nbsp;(Ochoa, 2022) is Microsoft\u2019s Platform for Situated Intelligence (<a href=\"https:\/\/www.microsoft.com\/en-us\/ai\/ai-lab-platform-for-situated-intelligence\">https:\/\/www.microsoft.com\/en-us\/ai\/ai-lab-platform-for-situated-intelligence<\/a>). This open-source project is intended to create a standard framework from which researchers and developers can have a shared platform to develop interactive AI \u2013 the sort of AI that MmLA can get behind. This looks like a potential platform \u201cfront end\u201d or integrated development environment (IDE) for AI and calls for a much closer and deeper look as soon as possible.<\/p>\n\n\n\n<p>I wonder \u2026 Platform for Situated Intelligence \u2026 PSI\u2026 \u03a8\u2026 you know that Greek letter sort of looks like a multimodal input (top) feeding a MmLA repository (bottom). Doesn\u2019t it? Hmm\u2026 \ud83e\udd14<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">&nbsp;<\/h1>\n\n\n\n<h1 class=\"wp-block-heading has-text-align-center\">References<\/h1>\n\n\n\n<p>Hu, K. (2023, February 2). <em>ChatGPT sets record for fastest-growing user base &#8211; analyst note<\/em>. Retrieved from Reuters: https:\/\/www.reuters.com\/technology\/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01\/<\/p>\n\n\n\n<p>Kanade, V. (2022, February 14). <em>What Is General Artificial Intelligence (AI)? Definition, Challenges, and Trends<\/em>. Retrieved from Spiceworks: https:\/\/www.spiceworks.com\/tech\/artificial-intelligence\/articles\/what-is-general-ai\/<\/p>\n\n\n\n<p>Merriam-Webster. (n.d.). <em>Intelligence<\/em>. Retrieved November 12, 2023, from Merriam-Webster.com Dictionary: https:\/\/www.merriam-webster.com\/dictionary\/intelligence<\/p>\n\n\n\n<p>Ochoa, X. (2022). Multimodal Learning Analytics: Rationale, Process, Examples, and Direction. In C. Lang, A. F. Wise, A. Merceron, D. Ga\u0161evi\u0107, &amp; G. Siemens (Eds.), <em>Handbook of Learning Analytics<\/em> (2nd ed., pp. 54-65). Society for Learning Analytics Research (SoLAR). https:\/\/doi.org\/10.18608\/hla22.006<\/p>\n\n\n\n<p>Su, C. (2022, September 9). <em>The Rising Concern of Data Privacy Around the World<\/em>. Retrieved from BDO: https:\/\/www.bdo.com.sg\/en-gb\/blogs\/bdo-cyberdigest\/september-2022\/the-rising-concern-of-data-privacy-around-the-world<\/p>","protected":false},"excerpt":{"rendered":"<p>While the acronym for Mixed Martial Arts (MMA) has started to become something of a household name, Multimodal Learning Analytics (MmLA) isn\u2019t quite there yet. And probably won\u2019t be in the majority of households anytime in the near future. But the use of MmLA may become a classroom standard soon. Especially with the growing adoption<br \/><a class=\"moretag\" href=\"https:\/\/c3eo.us\/es\/2023\/11\/12\/its-not-mma-its-mmla\/\">+ Read More<\/a><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[21,23,36,27,22],"tags":[46],"class_list":["post-271","post","type-post","status-publish","format-standard","hentry","category-ai","category-editorial","category-hci","category-learning-analytics","category-learning-technology","tag-multimodal"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>It\u2019s not MMA \ud83d\udc4a, it\u2019s MmLA! \ud83e\udd2f - C3EO<\/title>\n<meta name=\"description\" content=\"MMA is a household name, but Multimodal Learning Analytics (MmLA) isn\u2019t there yet. 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