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    Home » Combining technology, education, and human connection to improve online learning | MIT News
    Artificial Intelligence

    Combining technology, education, and human connection to improve online learning | MIT News

    ProfitlyAIBy ProfitlyAIJune 17, 2025No Comments6 Mins Read
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    MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher, and educator who has studied psychology and used on-line studying instruments to show herself coding and different abilities. She’s a soft-spoken observer, with a eager curiosity in how folks use house and reply to their environments. Combining her observational abilities with lively group engagement, she works on the intersection of expertise, training, and human connection to enhance digital studying platforms.

    Morris grew up in rural upstate New York in a household of makers. She realized to stitch, cook dinner, and construct issues with wooden at a younger age. One among her earlier reminiscences is of a small handsaw she made — with the assistance of her father, knowledgeable carpenter. It had picket handles on each side to make sawing simpler for her.

    Later, when she wanted to be taught one thing, she’d flip to project-based communities, slightly than books. She taught herself to code late at evening, profiting from community-oriented platforms the place folks reply questions and publish sketches, permitting her to see the code behind the objects folks made.

    “For me, that was this big, wake-up second of feeling like there was a path to expression that was not a conventional computer-science classroom,” she says. “I feel that’s partly why I really feel so obsessed with what I’m doing now. That was the large transformation: having that group obtainable on this actually private, project-based means.”

    Subsequently, Morris has grow to be concerned in community-based studying in numerous methods: She’s a co-organizer of the MIT Media Lab’s Competition of Studying; she leads artistic coding group meetups; and he or she’s been lively within the open-source software program group improvement.

    “My years of organizing studying and making communities — each in particular person and on-line — have proven me firsthand how highly effective social interplay could be for motivation and curiosity,” Morris stated. “My analysis is admittedly about figuring out which parts of that social magic are most important, so we are able to design digital environments that higher assist these dynamics.”

    Even in her paintings, Morris generally works with a collective. She’s contributed to the creation of about 10 giant artwork installations that mix motion, sound, imagery, lighting, and different applied sciences to immerse the customer in an expertise evoking some side of nature, resembling flowing water, birds in flight, or crowd kinetics. These marvelous installations are commanding and calming on the identical time, presumably as a result of they focus the thoughts, eye, and generally the ear.

    MIT graduate pupil and MAD Fellow Caitlin Morris contributed idea design, design improvement, electrical design and engineering, firmware improvement, and fabrication to “Diffusion Choir,” an set up from the artist collaborative Hypersonic, in addition to Sosolimited and Plebian Design.

    Video: Hypersonic

    She did a lot of this work with New York-based Hypersonic, an organization of artists and technologists specializing in giant kinetic installations in public areas. Earlier than that, she earned a BS in psychology and a BS in architectural constructing sciences from Rensselaer Polytechnic Institute, then an MFA in design and expertise from the Parsons College of Design at The New College.

    Throughout, in between, after, and generally concurrently, she taught design, coding, and different applied sciences at the highschool, undergraduate, and graduate-student ranges.

    “I feel what sort of received me hooked on educating was that the way in which I realized as a baby was not the identical as within the classroom,” Morris explains. “And I later noticed this in lots of my college students. I received the sensation that the conventional means of studying issues was not working for them. They usually thought it was their fault. They simply didn’t actually really feel welcome inside the conventional training mannequin.”

    Morris says that when she labored with these college students, tossing apart custom and as a substitute saying — “, we’re simply going to do that animation. Or we’re going to make this design or this web site or these graphics, and we’re going to method it on this completely completely different means” — she noticed folks “type of unlock and be like, ‘Oh my gosh. I by no means thought I might do this.’

    “For me, that was the hook, that’s the magic of it. As a result of I used to be coming from that have of getting to determine these unlock mechanisms for myself, it was actually thrilling to have the ability to share them with different folks, these unlock moments.”

    For her doctoral work with the MIT Media Lab’s Fluid Interfaces Group, she’s specializing in the private house and emotional gaps related to studying, notably on-line and AI-assisted studying. This analysis builds on her expertise rising human connection in each bodily and digital studying environments.

    “I’m creating a framework that mixes AI-driven behavioral evaluation with human knowledgeable evaluation to review social studying dynamics,” she says. “My analysis investigates how social interplay patterns affect curiosity improvement and intrinsic motivation in studying, with explicit deal with understanding how these dynamics differ between actual friends and AI-supported environments.”

    Step one in her analysis is figuring out which parts of social interplay usually are not replaceable by an AI-based digital tutor. Following that evaluation, her purpose is to construct a prototype platform for experiential studying.

    “I’m creating instruments that may concurrently monitor observable behaviors — like bodily actions, language cues, and interplay patterns — whereas capturing learners’ subjective experiences by means of reflection and interviews,” Morris explains. “This method helps join what folks do with how they really feel about their studying expertise.

    “I goal to make two main contributions: first, evaluation instruments for learning social studying dynamics; and second, prototype instruments that display sensible approaches for supporting social curiosity in digital studying environments. These contributions might assist bridge the hole between the effectivity of digital platforms and the wealthy social interplay that happens in efficient in-person studying.”

    Her targets make Morris an ideal match for the MIT MAD Fellowship. One assertion in MAD’s mission is: “Breaking away from conventional training, we foster creativity, essential considering, making, and collaboration, exploring a variety of dynamic approaches to arrange college students for advanced, real-world challenges.”

    Morris needs to assist group organizations cope with the fast AI-powered adjustments in training, as soon as she finishes her doctorate in 2026. “What ought to we do with this ‘bodily house versus digital house’ divide?” she asks. That’s the house at the moment fascinating Morris’s ideas.



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