Qi Sun ᱨᱮᱱᱟᱜ Insightpro Primary Function: �e ᱱᱟᱯᱟᱭ ᱯᱟᱲᱷᱟᱣ ᱮᱱᱟᱞᱤᱴᱤᱠᱥ

Qi Sun ᱨᱮᱱᱟᱜ Insightpro Primary Function: �e ᱱᱟᱯᱟᱭ ᱯᱟᱲᱷᱟᱣ ᱮᱱᱟᱞᱤᱴᱤᱠᱥ ᱫᱚ ᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱠᱟᱥᱟᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ· 2026

Insightpro Primary Function: �e ᱱᱟᱯᱟᱭ ᱯᱟᱲᱷᱟᱣ ᱮᱱᱟᱞᱤᱴᱤᱠᱥ

Qi Sun ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Qi Sun

ᱥᱚᱯᱷᱴᱣᱮᱭᱟᱨ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#181476 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Insightpro Primary Function: �e ᱱᱟᱯᱟᱭ ᱯᱟᱲᱷᱟᱣ ᱮᱱᱟᱞᱤᱴᱤᱠᱥ ᱵᱟᱵᱚᱛ ᱛᱮ

Book Text: ᱤᱱᱥᱟᱭᱴᱯᱨᱳ ᱫᱳ ᱢᱤᱫ ᱯᱟᱹᱨᱠᱟᱹ ᱯᱟᱲᱷᱟᱣ ᱰᱟᱴᱟ ᱮᱱᱟᱞᱤᱥᱤᱥ ᱯᱞᱮᱴᱯᱷᱷᱳᱨᱢ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱡᱳᱴᱳᱲ ᱤᱱᱥᱴᱤᱴᱝᱥᱱᱟᱞ ᱢᱮᱴᱨᱤᱠᱥ ᱟᱨ ᱯᱟᱲᱷᱷᱟᱣᱤᱡ ᱦᱳᱲ ᱫᱷᱟᱹᱵᱤᱡ ᱫᱟᱨᱟ ᱪᱮᱫ ᱞᱟᱹᱜᱤᱫ ᱢᱮᱱᱟ ᱨᱮ ᱢᱮᱪᱮᱫ ᱫᱚ ᱯᱷᱟᱨᱟᱠ ᱫᱚ ᱵᱚᱰᱚᱞᱚᱜ-ᱟᱠᱟᱱᱟ ᱾ ᱵᱟᱝᱜᱟ ᱥᱤᱱᱥ ᱨᱤᱥᱟᱨᱪ ᱨᱮ ᱴᱷᱟᱯᱱᱟ ᱦᱚᱪᱳᱜ ᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱯᱨᱳᱡᱮᱠᱴ ᱫᱚ ᱱᱟᱯᱟᱭ ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ ᱟᱨ ᱠᱚᱜᱱᱤᱴᱤᱣ ᱞᱳᱰ ᱛᱷᱤᱭᱳᱨᱤ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱯᱷᱨᱟᱜᱢᱮᱱᱴᱮᱰ ᱰᱟᱴᱟ ᱫᱚ ᱠᱟᱹᱢᱤ ᱦᱚᱪᱚᱜ ᱢᱟᱱᱢᱤ ᱠᱟᱦᱱᱤ ᱨᱮ ᱵᱚᱫᱚᱞ ᱮᱫᱟ ᱾ ᱱᱚᱶᱟ ᱰᱤᱡᱟᱭᱱ ᱫᱚ ᱯᱟᱨᱥᱟᱞ ᱟᱨ ᱫᱷᱟᱹᱵᱤᱡ ᱨᱮ ᱯᱨᱟᱭᱳᱨᱤᱴᱤ ᱮᱢᱟᱜ-ᱟ, ᱡᱟᱦᱟᱸ ᱵᱟᱝ-ᱴᱮᱠᱱᱤᱠᱟᱞ ᱠᱟᱹᱢᱤᱦᱚᱲ ᱠᱚ ᱯᱟᱲᱷᱷᱟᱣᱤᱡ ᱨᱤᱥᱠ ᱪᱤᱱᱦᱟᱹ ᱟᱨ ᱯᱨᱚᱢᱟᱱ ᱟᱫᱷᱟᱨᱤᱛ ᱨᱚᱱᱚᱴᱤ ᱞᱟᱹᱜᱩ ᱫᱟᱲᱮᱭᱟᱜ-ᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱢᱩᱪᱟᱹᱫ ᱨᱮ ᱢᱤᱫ ᱵᱮᱵᱷᱟᱨᱤᱡ-ᱠᱮᱱᱫᱨᱤᱠ ᱰᱤᱡᱤᱴᱟᱞ ᱯᱷᱨᱮᱢᱣᱟᱨᱠ ᱦᱚᱨᱟ ᱛᱮ ᱯᱟᱲᱷᱷᱟᱣᱤᱡ ᱥᱚᱢᱟᱱᱛᱟ ᱵᱟᱲᱷᱟᱣ ᱮᱫᱟ ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Insightpro Primary Function: �e ᱱᱟᱯᱟᱭ ᱯᱟᱲᱷᱟᱣ ᱮᱱᱟᱞᱤᱴᱤᱠᱥ ᱫᱚ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱱᱟᱣᱟ ᱵᱷᱟᱵᱱᱟ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Insightpro Primary Function: �e ᱱᱟᱯᱟᱭ ᱯᱟᱲᱷᱟᱣ ᱮᱱᱟᱞᱤᱴᱤᱠᱥ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: 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.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: 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.
ᱴᱮᱜ ᱠᱚ: education technology, data analysis
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: 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.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: 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.
ᱜᱚᱵᱮᱥᱚᱱᱟ: 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.
ᱯᱨᱮᱨᱚᱱᱟ: 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.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: The project started in January 2023 in Pittsburgh and finished in January 2026 in Denver.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: 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.
ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ: Qi Sun