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Yamauchi, Taisei; Flanagan, Brendan; Nakamoto, Ryosuke; Dai, Yiling; Takami, Kyosuke; Ogata, Hiroaki – Smart Learning Environments, 2023
In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…
Descriptors: Mathematics Instruction, Classification, Algorithms, Barriers
Smith, Brent; Johnson, Andy; Hayden, Trey; Tolk, Florian – Advanced Distributed Learning Initiative, 2022
The human capital supply chain is a complex network of systems with inherent challenges to accommodating Total Learning Architecture (TLA) operability. This document covers the objective end-state for Department of Defense (DoD) learning organizations migrating to TLA compliant data and microservices. This document is organized into sections that…
Descriptors: Human Capital, Public Agencies, Armed Forces, Information Systems
Chiaráin, Neasa Ní – Research-publishing.net, 2022
"An Corpas Cliste" ('Clever Corpus') is an Irish language learner corpus. The corpus data comes from a purpose-built intelligent Computer Assisted Language Learning (iCALL) platform called "An Scéalaí" ('the Storyteller') and comprises both audio and text, produced by second and third level learners of Irish. Metadata (e.g. L1,…
Descriptors: Computational Linguistics, Irish, Computer Assisted Instruction, Second Language Learning

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