SocialRec and educational recommender systems

Fri, 31 Mar 2023 00:00:00 +0000

Personalization in education is often treated as a content problem: recommend the next resource, video, or exercise. SocialRec approached personalization as a relational and institutional problem.

The project integrated heterogeneous university data, privacy-preserving protocols, and network inference to understand educational experience beyond individual records. A central question was how interaction patterns, campus routines, and student trajectories can inform early support without exposing sensitive personal information.

The technical work combined anonymization, de-identification, social network inference from router connections, mixed individual and relational data, and machine learning. The applied goal was a recommender system that helps universities identify useful support actions, not just predict risk.

SocialRec connects directly with CRiSS-LAB research on learning analytics, higher education systems, collective intelligence, and network-based recommendation.

Read the project essay on Medium.

UDD highlighted Lixandria as an AI platform for exploring university degrees

Tue, 28 Dec 2021 00:00:00 +0000

Universidad del Desarrollo highlighted Lixandria, an AI-based platform created by Cristian Candia-Castro to help students and school counselors explore, compare, and expand academic alternatives in higher education.

The project connects revealed preferences, network science, educational data, and recommender systems to make the Chilean higher education landscape easier to navigate.

Recommender Systems | CRiSS-LAB

SocialRec and educational recommender systems

UDD highlighted Lixandria as an AI platform for exploring university degrees