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The Role of Novelty Stimuli in Second Language Acquisition: Evidence from the Optimized Training by the Pinyin Tutor at TalkBank
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Zhang, Yanhui; MacWhinney, Brian – Smart Learning Environments, 2023
As hypothesized by the unified competition model (MacWhinney, 2007, 2017, 2021), optimizing training schemes can enhance second language (L2) learning by fostering various protective factors. Under such a framework, the current study focuses on how the familiarity of stimuli will affect learning Chinese phonetic skills in a computer-assisted…
Descriptors: Novelty (Stimulus Dimension), Second Language Learning, Chinese, Phonetics
Analysis of Faculty Readiness for Online Teaching: Assessing Impact and Adaptability in Diverse Educational Contexts
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Purificación Alcaide-Pulido; Belén Gutiérrez-Villar; Eva Ordóñez-Olmedo; Marta Pérez-Escolar – Smart Learning Environments, 2025
In recent years, educators have encountered significant shifts in teaching methodologies driven by rapid technological advancements and evolving demands in higher education. This transition has prompted adaptations in teaching practices and digital approaches, resulting in a broader paradigm shift across institutions. This study explores faculty…
Descriptors: Foreign Countries, College Faculty, Technological Advancement, Blended Learning
Language Learners' Surface, Deep, and Organizing Approaches to ChatGPT-Assisted Language Learning: What Contextual, Individual, and ChatGPT-Related Factors Contribute?
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Amir Reza Rahimi; Zahra Mosalli – Smart Learning Environments, 2025
Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted language learning (CALL). However, further research in this area is necessary to apply a theoretical framework with a pedagogical-oriented…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Technology Uses in Education
Taking into Account Students' Psychotypes and Using Their Neuropsychological Maps When Implementing Digital Educational Technologies within the Metaverse
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Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain