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2023 | OriginalPaper | Buchkapitel

Identifying Individual Differences that Predict Usage of an Adaptive Training System in a United States Marine Corps Course

verfasst von : Nicholas W. Fraulini, Matthew D. Marraffino, Allison E. Garibaldi

Erschienen in: Adaptive Instructional Systems

Verlag: Springer Nature Switzerland

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Abstract

The U.S. military is faced with expanding logistical challenges to train students effectively. Providing students with adaptive training (AT) systems during their courses can help address these challenges. It is unclear, however, what individual differences lead to students using AT systems as course aids. To answer this question, we conducted the current research to investigate usage of a flashcard-based AT system and its association with individual differences in U.S. Marine Corps students. We chose to examine self-regulated learning (SRL), intrinsic motivation (IM), and achievement goal orientation in relation to training system usage, as previous research has revealed associations between these variables and improved learning outcomes and positive learning behaviors. Students were provided an AT flashcard system on their military-issued laptops and told they could utilize it as a study aid as much or as little as they preferred during their course. Results revealed varying degrees of system usage overall. Additionally, we uncovered positive associations between achievement goals and IM as they related to AT system usage. We discuss implications for AT system usage in live classrooms, as well as provide suggestions for future AT system developers as they seek to improve system usage among students.

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Nächstes Kapitel Which is Better Individualized Training for a Novel, Complex Task? Learner Control vs. Feedback Algorithms

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Titel: Identifying Individual Differences that Predict Usage of an Adaptive Training System in a United States Marine Corps Course
verfasst von: Nicholas W. Fraulini
Matthew D. Marraffino
Allison E. Garibaldi
Verlag: Springer Nature Switzerland
Buch: Adaptive Instructional Systems
Print ISBN: 978-3-031-34734-4

Electronic ISBN: 978-3-031-34735-1

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-34735-1_16