Hive AI Pae Whakamahere Mātauranga nā Hive AI

Ko te hoahoa Hive AI Pae Whakamahere Mātauranga nā Hive AI he kaitoa whakahirahira o te 2025 A' Design Award Hiriwa i te Wāhanga Whakataetae Hoahoa Atanga, Tauwhitiwhiti me te Wheako Kaiwhakamahi.

HiriwaAtanga· 2025

Hive AI Pae Whakamahere Mātauranga

nā Hive AI

Kiritaki: Hive AI

Kaitoa o te A' Design Award Hiriwa i te Wāhanga Atanga

59,042

Kaitoa Tohu Manatokohia

Manatokohia te Tūnga Tohu mō #169652

Tirohia i te A' Design Award Pānui Pāpāho Tohu Tohu

Ngā Tae

Te Hoahoa

Mō Hive AI Pae Whakamahere Mātauranga

Ko Hive AI he pae whakamahere mātauranga mā ngā ākonga, ngā ngaio, me ngā kairangahau. Ka whakamahia e te pae nei ngā pona mātauranga tapawhā-ono hei whakarite i ngā mōhiohio marara kia hono ai hei mātauranga tūhonohono. Ka tukuna ake e ngā kaiwhakamahi ngā tuhinga, ngā ataata, me ngā whakaahua, ā, ka whakaaria mai e te atamai hangahanga ngā hononga, ka whakarōpūhia ngā ihirangi e hāngai ana, ka tautohua hoki ngā āputa. Ka tautokona e te whakatere kore-raina te tūhura herekore, kaua ko ngā ara pātai me te whakautu kua whakaritea kētia. Ko ngā tauira ataata, pērā i ngā rārangi wā o mua me ngā mahere tapawhā-ono ahu-toru, ka whakaatu mārama i te mātauranga. Ka tautokona e te atanga urupare ngā kaupapa mārama me te pōuri.

Te Whakamihi

Mō te A' Design Award Hiriwa

Ko Hive AI Pae Whakamahere Mātauranga te toa o te A' Design Award Hiriwa, he whakaaetanga tino whai mana e hoatu ana ki ngā hoahoa taumata teitei rawa, ātaahua me te whakamīharo. Ko ngā toa Hiriwa he mahi tino kanapa, tino auaha e whakaatu ana i te mātanga, te pūmanawa me te mōhio hōhonu o ā rātou kaihoahoa. E tūmanakohia ana ko Hive AI Pae Whakamahere Mātauranga he mahi whakamīharo, he tauira, he tino ngaio, he auaha hōhonu. Ko tēnei hoahoa i toa i te Hiriwa he hanganga rongonui, whakamīharotia e whai wāhi ana ki te whakawhānui i ngā rohe o te toi, te pūtaiao, te hoahoa me te hangarau. Ko Hive AI Pae Whakamahere Mātauranga he mahi e hae ana te tini, e whakaara ana i ngā hiahia, e kawe mai ana i ngā kare-ā-roto pai, ā, e whakaoho ana i te mīharo.

I Muri i te Hoahoa

Kete Pāpāho

Ngā whakamihi, ngā mema o te rōpū me ngā taipitopito hangarau i whakaratohia e te kaihoahoa.

Āhuatanga Motuhake: Hive AI is a transformative learning platform that enables learners to build personalized knowledge systems. With the unique “hexagon knowledge nodes” and AI-driven tools like tailored recommendations, knowledge grouping, and dynamic data visualization, Hive supports students, professionals, and researchers in fostering interdisciplinary exploration and managing complex information.
Inenga & Pēketanga: Designed for adaptability, efficiency, and reliability, the platform features a responsive interface optimized for various screen sizes, supporting landscape and portrait modes. Users can personalize their experience with light and dark themes, while cross-device compatibility ensures accessibility. AI-driven adaptability enhances learning preferences, providing real-time interactions with secure performance. Hive AI integrates technical precision with user-friendly design, delivering a dynamic, intuitive experience tailored to individual needs.
Tūtohu: Geneartive AI, Adaptive Learning, Personalization, Ed-Tech, Non-linear Interaction, Data Visualization
Hangarau Whakanao: Hive AI's technology was developed through an iterative, data-driven approach leveraging advanced neural networks. The product mission guided development, ensuring the machine learning framework effectively organizes users' thoughts into structured knowledge. Rigorous testing and refinement perfected the node-based architecture for seamless non-linear exploration. The final system prioritizes adaptability, efficiency, and reliability, empowering users with a dynamic, personalized learning experience.
Wero Hoahoa: How can node-based interactions feel as intuitive as conversation-based AI? This challenge explores motion design, iconography, and cognitive flow for seamless user adaptation. By researching existing node-based systems, the effectiveness in guiding eye movement and mental mapping was evaluated, identifying both strengths and gaps. Through user testing, motion and icons for clarity and usability were refined. The goal is to create a visually intuitive, AI-assisted system that preserves familiar interaction patterns while enhancing how users navigate complex knowledge structures with ease and engagement.
Rangahau: Type:
Competitive & User-Centered Design Research

Objective:
Enhance exploratory, autonomous learning with AI-powered tools.

Methodology:
Surveys, interviews, and usability testing.

Tools:
Google Forms, SurveyMonkey, Zoom, Figma prototypes.

Participants:
100 technology enthusiasts

Results:
Optimized node connection interactions.
Improved accessibility with refined UI.
Prioritized key data visualization methods.

Insights & Impact:
AI-driven design enhances learning efficiency, accessibility, and critical thinking, fostering a more engaging and effective digital education experience.
Whakaaweawe: Hive AI epitomizes usability, efficiency, speed, and reliability. Drawing on generative AI and mind-mapping, it transforms learning into a dynamic, personalized journey. Market research shows 78% of users find current tools limiting, revealing a major business opportunity. With elegant simplicity, fluid design, and smart organization, Hive AI redefines learning and unleashes creativity.
Roanga o te Kaupapa: Research - 1 Month

Concept and Prototyping - 2 Months
Design Finalization - 1.5 Months

Evolutives & APP Development: ongoing
Rerenga Mahi: The system structures fragmented information into interconnected knowledge. Learners upload and organize content - text, videos, and images - and AI enhances connections and identifies gaps.

- Node Expansion builds knowledge structures based on interests.
- Gap Bridging links concepts for deeper understanding.
Structured Organization groups information for easier memorization.
- Nonlinear Exploration enables dynamic navigation.

Hive AI also provides visual templates, like historical timelines and 3D hexagonal maps, making knowledge presentation more intuitive and effective.
Pātene: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen
Ngā Mema o te Rōpū: Yongwen Dai
Xuefei Wang
Keqing (Clara) Jiao
Hanyong Yang
Huiyang Chen
Whakamana Whakaahua: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen