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Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
Abdolrezapour, Parisa – ReCALL, 2017
Previous studies have shown that emotional intelligence (henceforth, EI) has a significant impact on important life outcomes (e.g., mental and physical health, academic achievement, work performance, and social relationships). This study aimed to see whether there is any relationship between EI and English as a foreign language (EFL) learners'…
Descriptors: Emotional Intelligence, Oral Language, Language Fluency, Correlation
Hirotani, Maki; Matsumoto, Kazumi; Fukada, Atsusi – Research-publishing.net, 2012
The present study examined various aspects of the development of learners' fluency in Japanese using a large set of speech samples collected over a long period, using an online speaking practice/assessment system called "Speak Everywhere." The purpose of the present study was to examine: (1) how the fluency related measures changed over…
Descriptors: Longitudinal Studies, Language Fluency, Novices, Second Language Learning