Insightpro Iṣẹ́ Àkọ́kọ́: Ìtúpalẹ̀ Ẹ̀kọ́ Onímọ̀ Ọgbọ́n Atọ́nà láti ọwọ́ Qi Sun

Insightpro Iṣẹ́ Àkọ́kọ́: Ìtúpalẹ̀ Ẹ̀kọ́ Onímọ̀ Ọgbọ́n Atọ́nà láti ọwọ́ Qi Sun jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2026 Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Sọ́fítíwéà.

IdẹSọ́fítíwéà· 2026

Insightpro Iṣẹ́ Àkọ́kọ́: Ìtúpalẹ̀ Ẹ̀kọ́ Onímọ̀ Ọgbọ́n Atọ́nà

látọ̀wọ́ Qi Sun

Oníbàárà: Qi Sun

Aṣẹ́gun Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Sọ́fítíwéà

6,683

Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #181476

Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Insightpro Iṣẹ́ Àkọ́kọ́: Ìtúpalẹ̀ Ẹ̀kọ́ Onímọ̀ Ọgbọ́n Atọ́nà

Insightpro jẹ́ pẹpẹ ìtúpalẹ̀ dátà ẹ̀kọ́ tó dáńgájíá tí a ṣe láti dí àlàfo tó wà láàárín àwọn òṣùwọ̀n ilé-ẹ̀kọ́ tó díjú àti ìdásí olùkọ́. Tí a gbé karí ìwádìí sáyẹ́ǹsì ẹ̀kọ́, iṣẹ́ náà ń lo ọgbọ́n àmọ̀dájú onímọ̀ ọgbọ́n tó gòkè àti àbá ẹrù ìmọ̀ láti yí dátà tó túká padà sí àwọn ìtàn ènìyàn tí a lè ṣiṣẹ́ lé lórí. Àpẹrẹ náà ń fún ìmọ̀lẹ̀ àti ìráyé ní ipò àkọ́kọ́, ó sì ń jẹ́ kí àwọn òṣìṣẹ́ tí kò ní ìmọ̀ ẹ̀rọ lè dá àwọn ewu akẹ́kọ̀ọ́ mọ̀ kí wọ́n sì lo àwọn ọgbọ́n tó dá lórí ẹ̀rí, tó sì ń mú ìdọ́gba nínú ẹ̀kọ́ wá nípasẹ̀ ìlànà oníforíkorí díjítà tó dá lórí olùmúlò.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Idẹ A' Design Award

Insightpro Iṣẹ́ Àkọ́kọ́: Ìtúpalẹ̀ Ẹ̀kọ́ Onímọ̀ Ọgbọ́n Atọ́nà jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Insightpro Iṣẹ́ Àkọ́kọ́: Ìtúpalẹ̀ Ẹ̀kọ́ Onímọ̀ Ọgbọ́n Atọ́nà yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Insightpro Iṣẹ́ Àkọ́kọ́: Ìtúpalẹ̀ Ẹ̀kọ́ Onímọ̀ Ọgbọ́n Atọ́nà ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: 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.
Ìwọ̀n àti Àpò: 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.
Àwọn Àkọlé: education technology, data analysis
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: 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.
Ìpèníjà Àpèsè: 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.
Ìwádìí: 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.
Ìmísí: 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.
Àkókò Iṣẹ́ Àkànṣe: The project started in January 2023 in Pittsburgh and finished in January 2026 in Denver.
Ìlànà Ìṣiṣẹ́: 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.
Àwọn Ọmọ Ẹgbẹ́: Qi Sun