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Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Tsai, Pei-Shan; Tsai, Chin-Chung; Hwang, Gwo-Haur – Interactive Learning Environments, 2016
The purpose of this study was to explore the effects of the context-aware ubiquitous learning (u-learning) approach versus traditional instruction on students' ability to answer questions that required different cognitive skills, using the framework of Bloom's taxonomy of educational objectives, including knowledge, comprehension, application,…
Descriptors: Teaching Methods, Outcomes of Education, Cognitive Ability, Foreign Countries
Nogry, S.; Jean-Daubias, S.; Guin, N. – Interactive Learning Environments, 2012
This article deals with evaluating an interactive learning environment (ILE) during the iterative-design process. Various aspects of the system must be assessed and a number of evaluation methods are available. In designing the ILE Ambre-add, several techniques were combined to test and refine the system. In particular, we point out the merits of…
Descriptors: Foreign Countries, Educational Technology, Elementary School Students, Mathematics Instruction

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