The Center for Science Engagement actively engages in and disseminates the results of the research our staff and affiliated researchers are working on.  Below please find a sampling of some of our upcoming, recent and related work:

February 25, 2025 – How Students Learn Functions in an Integrated Introductory Data Science Module
Rabab Mohamed, Anupom Mondol, Dexiu Ma, Jie Chao, Kenia Wiedemann, Janet Bih Fofang, Barnas Monteith, Wanli Xing, Linlin Li, Yelee Jo, April Fleetwood, Lodi Lipien and Yuanlin Zhang
EasyChair Preprint 15867

February 17, 2025 – DSE K-12, Data Science Education K-12 Conference, San Antonio, Texas

CSE Leader Barnas Monteith presents a paper as first author on the use of Vectorized Entropy Analysis in Project LogicDS, at the inaugural annual conference, DSE K-12, focused on data science & AI education and research.

October 16, 2024 International Science Festival, Beijing

-CSE Leader Barnas Monteith keynotes a session about the use of new analysis techniques in skills-based and non-cognitive measures for STEM education. along with other top international researchers from the US, Europe and Asia; how do we truly measure and predict science engagement?.

Using Entropy Analysis to Explore Student Engagement in an Online High School Data Science Course

Barnas Monteith,Zifeng Liu,Jie Chao,Kenia Wiedemann,Janet Bih Fofang,Linlin Li,Dexiu Ma,Rabab Mohamed,Anupom Mondol ,Yelee Jo,April Fleetwood,Lodi Lipien,Yuanlin Zhang,Wanli Xing

Techrxiv, August 23, 2024

https://www.techrxiv.org/users/815367/articles/1217621-using-entropy-analysis-to-explore-student-engagement-in-an-online-high-school-data-science-course

Title: Unleashing the Economic Potential of Large Language Models: The Case of Chinese Language
Efficiency – Future Large language model efficiencies may lead to regional economic advantages due to fundamental linguistic disparities. Link  Link to PDF

 “Engaging Students through Creativity: The Impact of Arts-Based AI Education Programs on Middle and High School Student Conceptual Understanding and Interest.” Paper presentation, M.I.T. AIED 2024:

https://raise.mit.edu/events/ai-education-summit/#Schedule

CHARMM Molecular Simulation Observations of Carbonaceous Materials as Possible Templates for Prebiotic Nucleic Acid Oligomer Formation

Chemrxiv, April 2024

https://chemrxiv.org/engage/chemrxiv/article-details/66280954418a5379b084d06e

Use of Large Language Models to Aid Analysis of Textual Data

  International Journal of Qualitative Methods:

https://journals.sagepub.com/doi/10.1177/16094069241231168?icid=int.sj-abstract.citing-articles.985

(also on biorxiv)

Teaching Science Through the Arts in Beijing

The Science Teacher—May/June 2022 (Volume 89, Issue 5)

https://www.nsta.org/science-teacher/science-teacher-mayjune-2022/teaching-artificial-intelligence-through-arts-beijing

Medium.com:

Recent Events

We recently presented at the 2024 CSTA-attached NSF PI Conference in Las Vegas, NV about our progress on the NSF-Funded LogicDS Project (NSF Award #2201393): Collaborative Research: Fostering Virtual Learning of Data Science Foundations with Mathematical Logic for Rural High School Students, Las Vegas, Summer 2024

https://www.sagefoxgroup.com/csforallpi2024 

We also presented at MIT’s MIT AIED Conference on AI in Education about our CSE AI+Arts program, held in the Boston area, Chicago, as well as throughout Asia.  

https://easychair.org/cfp/MIT-AIEDU-2024 

Upcoming: We’re tentatively planning on being at AAAI 2025 — EAAI Conference, and ISEF 2025