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Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
Mirzaei, Maryam Sadat; Meshgi, Kourosh; Kawahara, Tatsuya – Research-publishing.net, 2016
This study investigates the use of Automatic Speech Recognition (ASR) systems to epitomize second language (L2) listeners' problems in perception of TED talks. ASR-generated transcripts of videos often involve recognition errors, which may indicate difficult segments for L2 listeners. This paper aims to discover the root-causes of the ASR errors…
Descriptors: Automation, Computer Software, Listening Skills, Error Patterns
Roy, Debopriyo; Brine, John; Murasawa, Fuyuki – Computer Assisted Language Learning, 2016
The act of note-taking offloads cognitive pressure and note-taking applications could be used as an important tool for foreign language acquisition. Its use, importance, and efficacy in a foreign language learning context could be justifiably debated. However, existing computer-assisted language learning literature is almost silent on the topic.…
Descriptors: Foreign Countries, Usability, English (Second Language), Second Language Learning