Seguir
Machi Shimmei
Machi Shimmei
Dirección de correo verificada de ncsu.edu
Título
Citado por
Citado por
Año
PASTEL: Evidence-based learning engineering methods to facilitate creation of adaptive online courseware
N Matsuda, M Shimmei, P Chaudhuri, D Makam, R Shrivastava, J Wood, ...
Artificial Intelligence in STEM Education, 93-108, 2022
52022
Latent Skill Mining and Labeling from Courseware Content
N Matsuda, J Wood, R Shrivastava, M Shimmei, N Bier
Journal of Educational Data Mining 14 (2), 2022
32022
Automatic Question Generation for Evidence-based Online Courseware Engineering.
M Shimmei, N Matsuda
iTextbooks@ AIED, 18-25, 2022
32022
Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering.
M Shimmei, N Matsuda
International Educational Data Mining Society, 2020
32020
PASTEL: Evidence-based Learning Engineering Method to Create Intelligent Online Textbook at Scale.
N Matsuda, M Shimmei
iTextbooks@ AIED, 70-80, 2019
32019
Can't Inflate Data? Let the Models Unite and Vote: Data-Agnostic Method to Avoid Overfit with Small Data.
M Shimmei, N Matsuda
International Educational Data Mining Society, 2023
22023
Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions
M Shimmei, N Matsuda
International Conference on Artificial Intelligence in Education, 320-324, 2021
22021
Application Of Reinforcement Learning For Automated Contents Validation Towards Self-Improving Online Courseware
N Matsuda, M Shimmei
Proceedings of the 7th Annual GIFT Users Symposium, 57, 2019
22019
Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives
M Shimmei, N Bier, N Matsuda
International Conference on Artificial Intelligence in Education, 3-15, 2023
12023
APPLICATIONS C
S Shen, M Shimmei, M Chi, N Matsuda
Design Recommendations for Intelligent Tutoring Systems: Volume 7-Self …, 2019
12019
Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning
M Shimmei, N Matsuda
Artificial Intelligence in Education: 20th International Conference, AIED …, 2019
2019
–APPLICATIONS OF REINFORCEMENT LEARNING TO SELF IMPROVING EDUCATIONAL SYSTEMS
S Shen, M Shimmei, M Chi, N Matsuda
Design Recommendations for Intelligent Tutoring Systems, 77, 0
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–12