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Insightpro Nazarin Ilimi na Ai by Qi Sun

Insightpro Nazarin Ilimi na Ai by Qi Sun is a highly esteemed winner of the very prestigious 2026 Kyautar A' Design Award ta Tagulla in Manhajojin Kwamfuta Competition Category.


TagullaManhajojin Kwamfuta· 2026

Insightpro Nazarin Ilimi na Ai

by Qi Sun

Client: Qi Sun

Kyautar A' Design Award ta Tagulla Winner in Manhajojin Kwamfuta Category

Colors

The Design

About Insightpro Nazarin Ilimi na Ai

Insightpro wani dandali ne mai sarkakiya na nazarin bayanan ilimi wanda aka tsara don cike gibin da ke tsakanin matakan tsangaya masu rikitarwa da kuma shiga tsakani na malamai. Bisa la'akari da binciken kimiyyar ilmantarwa, aikin yana amfani da basirar wucin gadi mai zurfi da kuma ka'idar nauyin fahimi don sauya bayanai da suka watse zuwa labarai na ɗan adam masu amfani. Ƙirar tana ba da fifiko ga bayyananne da samun dama, ta yadda ma'aikatan da ba na fasaha ba za su iya gano haɗarin da ke fuskantar ɗalibai da kuma aiwatar da dabarun da suka dogara da shaida, daga ƙarshe suna haɓaka adalcin ilimi ta hanyar tsarin dijital da ke mai da hankali ga mai amfani.

The Recognition

About the Kyautar A' Design Award ta Tagulla

Zanen Insightpro Nazarin Ilimi na Ai ya lashe Kyautar A' Design Award ta Tagulla, wata karramawa mai tsananin daraja da ake bai wa zane-zane na musamman waɗanda ke da ƙirƙira, basira da hikima. Waɗanda suka lashe kyautar Tagulla kayayyakin fasaha ne masu ƙwarewa da ƙirƙira mai ban mamaki waɗanda ke tabbatar da babban gogewa, tunani da dabarun masu zanensu. Ana sa ran zanen Insightpro Nazarin Ilimi na Ai ya zama abu da ake girmamawa sosai, ake sha'awa da ƙauna, mai ƙwarewa da ƙirƙire-ƙirƙire. Wannan zane da ya lashe Kyautar A' Design Award ta Tagulla yana haɗa mafi kyawun ayyuka a fasaha, kimiyya, zane da fasahar zamani, kuma yana da kyau saboda kulawarsa ga cikakkun bayanai. Zanen Insightpro Nazarin Ilimi na Ai yana biyan buƙatu da kyau, yana taɓa sha'awa, yana jan hankalin zukata kuma yana jawo sha'awar sani.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
Higher education is often data-rich but insight-poor, as complex tools create barriers for educators. Insightpro simplifies it through intelligence-driven visuals, predictive risk forecasting, and a smart agent that automates report generation. By lowering the technical bar for data analysis, the platform enables all staff to collaborate on timely interventions. This promotes educational equity by ensuring that no student slips through systemic cracks due to administrative delays.
Dimensions & Packaging
The platform is built on a 4px soft-grid system with a fluid 12-column layout for cross-device responsiveness. It utilizes web accessibility compliant color palette optimized for high-contrast dark environments. The data visualization engine renders via WebGL for high-performance interaction. Technical stack logic supports standard connectivity for student information systems, intelligence layer leverages language model parameters for real-time natural language synthesis.
Tags
education technology, data analysis
Production Technology
Insightpro uses a predictive engine trained on anonymized historical student data for high-accuracy risk forecasting. The recommendation model is built on cognitive load theory to optimize information density for educators. It integrates scaffolding and spaced repetition principles into automated strategies. The interface was developed using advanced frameworks, ensuring intelligent insights are translated into human-centered academic pathways.
Design Challenge
The primary obstacle involved translating high-dimensional student data into accessible human narratives without compromising analytical rigor. Internally, the project addressed the social perspective of data anxiety among educators. Externally, challenges included fragmented information across legacy systems. These were overcome by implementing a research-based computational framework that prioritizes cognitive clarity over raw metrics, ensuring data privacy while pushing the boundaries of intelligent user experience.
Research
The designer conducted qualitative action research to bridge the gap between complex analytics and educational practice. Objectives focused on lowering technical barriers for educators. Methodology included semi-structured interviews and weekly meetings with university admins, using open coding for thematic analysis. Results identified "data isolation" as a key hurdle. Insights led to an intelligent narrative model that enhances educational equity and administrative efficiency.
Inspiration
Built upon advanced research in learning sciences at Carnegie Mellon University, this project addresses the systemic gap between complex educational data and frontline decision-making. My motive was to implement an evidence-based design that ensures educational equity through technology. Insightpro represents a professional synthesis of cognitive principles and intelligent systems, aimed at transforming administrative capacity into proactive student support strategies for global institutions.
Project Duration
The project started in January 2023 in Pittsburgh and finished in January 2026 in Denver.
Operation Flow
Users sync existing student data to Insightpro. Educators interact through natural language queries, the model extracts key metrics and generates dynamic visualizations. Clicking "Predict" triggers risk identification and actionable strategy suggestions, such as targeted teaching interventions. Teams pin insights directly onto charts for real-time collaboration. Finally, the intelligence system synthesizes all team discussions and data into automated reports, increasing administrative efficiency.
Team Members
Qi Sun

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