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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
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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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Pattanshetti, Mahantesh K.; Jasola, Sanjay; Gupta, Vivek; Rajput, Akshay – Knowledge Management & E-Learning, 2018
Learning has transcended into a life-long endeavor in the information age. It is no longer restricted to confines of formal classrooms. Consequently, a student is not restricted to traditional learning resources like teachers, textbooks or printed content. Digital resources available on the Internet form a very significant component of…
Descriptors: Electronic Learning, Open Educational Resources, Hypermedia, Computer Assisted Instruction
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Maycock, Keith W.; Keating, J. G. – Journal of Computer Assisted Learning, 2017
This experimental study investigates the effect on the examination performance of a cohort of first-year undergraduate learners undertaking a Unified Modelling Language (UML) course using an adaptive learning system against a control group of learners undertaking the same UML course through a traditional lecturing environment. The adaptive…
Descriptors: Experimental Groups, Metadata, Computer Assisted Instruction, Undergraduate Students