Welcome!

Hi there! I’m Jinglin Jian (简靖琳), a second-year master’s student in Information Sciences at UIUC. Since the fall of 2023, I had the oppotunity to work with Professor Haohan Wang at UIUC. I hold a B.S. in Educational Technology from Beijing Normal University, where I contributed as a research assistant in Professor Jingjing Zhang’s lab. Also, I earned a double bachelor’s degree in Economics from Peking University.

I’m currently pursuing a PhD admission opportunity. My academic interests lie in AI, especially in real-world applications to healthcare and education.

Publications and Conferences

arXiv 2024
2024tais

Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data

Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, Haohan Wang

To address the demanding workload of scientific data analysis, we introduce the Team of AI-made Scientists (TAIS), designed to streamline the scientific discovery pipeline. TAIS consists of simulated roles, including a project manager, data engineer, and domain expert, each represented by a Large Language Model (LLM).

AIED 2024
2024visual-aid

"Which Animal Would You Like to See on Your Flashcards?" Designing Visual Aids Together with Kids Using GIMs

Yiqi Xiao and Jinglin Jian

Visual aids enhance children’s learning. Educational theories emphasize student agency, but involving children’s preferences in designing materials is challenging. We developed an interactive learning content designer that allows students to choose their favorite animals and colors for flashcards, while educators add academic content, balancing student engagement with educational goals. This can be a novel and promising paradigm for instructional design, especially for children with autism.

Selected Projects

Research Assistant
2020hypervideo

The Impact of Productive Failure on Learning Performance and Cognitive Load: Using Hypervideo to Facilitate Online Interactions

Xiaojie Niu, Jingjing Zhang, Kate M. Xu, Xuan Wang

Productive failure is an instructional approach that uses students’ cognitive conflicts to enhance their learning. This experimental study investigated the effect of productive failure in a hypervideo environment.

Bachelor’s Thesis
2021eduKG

Semi-automatic Knowledge Graph Construction

Jinglin Jian (Advisor: Prof. Qinhua Zheng)

An interactive system was designed and implemented, enabling domain experts to collaborate with AI models to create educational knowledge graphs (KG) from unstructured text (i.e. lecture transcripts).