Yiwen Lin

According to our database, Yiwen Lin authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity.

Nia Nixon, Yiwen Lin, Lauren Snow

CoRR, 2024

Minds and Machines Unite: Deciphering Social and Cognitive Dynamics in Collaborative Problem Solving with AI.

Mohammad Amin Samadi, Spencer Jaquay, Yiwen Lin, Elham Tajik, Seehee Park, Nia Nixon

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Global automated extraction of bathymetric photons from ICESat-2 data based on a PointNet++ model.

Yiwen Lin, Anders Knudby

Int. J. Appl. Earth Obs. Geoinformation, November, 2023

Discriminative feature learning through feature distance loss.

Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack

Mach. Vis. Appl., March, 2023

Error estimates of a bi-fidelity method for a multi-phase Navier-Stokes-Vlasov-Fokker-Planck system with random inputs.

Yiwen Lin, Shi Jin

CoRR, 2023

Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums.

Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

Asymptotic-preserving schemes for kinetic-fluid modeling of mixture flows with distinct particle sizes.

Shi Jin, Yiwen Lin

CoRR, 2022

Exploring Cultural Diversity and Collaborative Team Communication through a Dynamical Systems Lens.

Mohammad Amin Samadi, Jacqueline G. Cavazos, Yiwen Lin, Nia Nixon

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic Chains.

Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline Guadalupe Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC.

Anjali Singh, Christopher Brooks, Yiwen Lin, Warren Li

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Skills Matter: Modeling the relationship between decision making processes and collaborative problem-solving skills during Hidden Profile Tasks.

Yiwen Lin, Nia Dowell, Andrew Godfrey

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

2020

Exploring the Relationship between Emergent Sociocognitive Roles, Collaborative Problem- Solving Skills and Outcomes: A Group Communication Analysis.

Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks

J. Learn. Anal., March, 2020

Inverse Scattering by a Random Periodic Structure.

Gang Bao, Yiwen Lin, Xiang Xu

SIAM J. Numer. Anal., 2020

Inverse scattering by a random periodic structure.

Gang Bao, Yiwen Lin

CoRR, 2020

LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses.

Yiwen Lin, Renzhe Yu, Nia Dowell

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Modeling gender dynamics in intra and interpersonal interactions during online collaborative learning.

Yiwen Lin, Nia Dowell, Andrew Godfrey, Heeryung Choi, Christopher Brooks

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning.

Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019