Works (3)

Updated: March 2nd, 2024 03:00

2023 chapter

Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives

By: M. Shimmei n, N. Bier* & N. Matsuda n

co-author countries: United States of America 🇺🇸
Source: ORCID
Added: June 26, 2023

2021 article

Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 320–324.

By: M. Shimmei n & N. Matsuda n

co-author countries: United States of America 🇺🇸
author keywords: Question generation; MOOCS; Learning engineering
Sources: ORCID, Web Of Science
Added: October 13, 2021

2019 article

Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 369–373.

By: M. Shimmei n & N. Matsuda n

co-author countries: United States of America 🇺🇸

Contributors: M. Shimmei n & N. Matsuda n

author keywords: Learning-engineering; Self-improving online courseware; Reinforcement learning
Sources: Web Of Science, ORCID
Added: December 2, 2019

Education

Updated: June 8th, 2020 08:52

2018 - present

North Carolina State University Raleigh, NC, US
Computer Science

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