ATMOS
Project ATMOS
AI-Powered Teaching Method Optimization System
@ Peking University
Mission
We are an interdisciplinary research team dedicated to building intelligent perception classrooms through AI technology. Our aim is to support young teachers in improving instructional methods based on data insights, adapting to new-era requirements for teaching capabilities, and exploring pathways for educational reform in the AI era.
Our research spans diverse disciplines, including education, psychology, computer science, and artificial intelligence. The project encompasses the development of theoretical models, the design and construction of intelligent classroom environments, and the creation of a software platform based on machine learning.
Through our AI-Powered Teaching Methodology Optimization System (ATMOS), we strive to establish advanced AI-powered classroom infrastructure. This initiative supports teachers in advancing their teaching practices for the future, while exploring new models of higher education instruction enabled by AI technology.
Team members
Sponsorship
Shengqing Wang: Empirical Study on MOOC Online Teaching Organization Methods
Key Project of the Online Education Research Center, Ministry of Education, 2016-2020, Principal Investigator
Shengqing Wang: Empirical Study on MOOC Online Teaching Organization Methods
Key Project of the Online Education Research Center, Ministry of Education, 2016-2020, Principal Investigator
Shengqing Wang: Research on Disciplinary Differences in MOOC-Based Blended Teaching Models in Universities
Department of Higher Education, Ministry of Education, 2016-2017, Principal Investigator
Shengqing Wang: Empirical Study on Pedagogical Innovation Based on Massive Open Online Courses (MOOCs)
Major Project of the Peking University Education Development Research Center, 2015-2017, Principal Investigator
Shengqing Wang: Research on the Standards Framework for University Teachers' Teaching Competency in the Information Age—A Perspective Based on Teacher Professional Development
Key Project on Big Data in Education, Peking University, 2020-2022, Principal Investigator
Shengqing Wang: Research and Application of Measurement Methods for University Teachers’ Blended Teaching Abilities Based on TPACK
Undergraduate Teaching Reform Project, Peking University, 2020-2021, Principal Investigator
Guiquan Li: Research on Mobile Learning Behavior of University Students and Innovation in Teaching Models
General Project of the Online Education Research Center, Ministry of Education, Principal Investigator
Guiquan Li: Cross-Team Leadership and Collaborative Performance among Independent Formal Teams—An Exploration from Dual Theoretical Perspectives
General Project of the National Natural Science Foundation of China (Grant No. 71972109), 2020-2023, Principal Investigator
Yun Ma: R&D and Application of an Intelligent Service Platform for Modernized Drug Regulation
National Key R&D Program Project, Leader of Subproject 2
Yun Ma: Research on Quality Optimization Methods for Ubiquitous Web Application Services Driven by Data Intelligence
Youth Project of the National Natural Science Foundation of China, Principal Investigator
Lei Ma: Research on Key Technologies for Spatiotemporal Information Visualization of Brain Neural Networks
Peking University Guiding Project - Outstanding Innovative Talent Program, 2022-2024, Principal Investigator
Lei Ma: Wide-Field Neuromorphic Vision Measurement Device for High-Speed Moving Objects
Major Project of the National Natural Science Foundation of China, 2021-2025, Core Participant
Lun Li: Microfoundations in Macroeconomics
Undergraduate Teaching Reform Project, Peking University, 2023-2024, Principal Investigator
Lun Li: Peking University "Blended Classroom Reconstruction" Pilot Project
Undergraduate Teaching Reform Project, Peking University, 2023-2024, Principal Investigator
Lun Li: Research on Strengthening the Prevention and Resolution of Economic and Financial Risks in Beijing
Key Project of the Beijing Social Science Foundation, Core Participant
Lun Li: Digital and Intelligent Teaching Reform for the Macroeconomics Course Series
Undergraduate Teaching Reform Project, School of Economics and Management, Peking University, 2024, Principal Investigator