Journal
COMPUTERS & EDUCATION
Volume 101, Issue -, Pages 15-28Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compedu.2016.05.011
Keywords
Improving classroom teaching; Pedagogical issues; Post-secondary education
Funding
- International Research-Intensive Center of Excellence Pro-gram of NTNU
- Ministry of Science and Technology, Taiwan, R.O.C. [NSC 103-2911-I-003-301, MOST 103-2511-S-006-007-MY3, MOST 103-2511-S-006-002-MY3]
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This study explores the effectiveness of applying speech-to-text recognition (STR) technology during lectures in English on learning performance and the cognitive load of nonnative English speaking students. Furthermore, the study also explores the usefulness of texts generated using STR for students with different levels of English as foreign language (EFL) ability during lectures of varying difficulty levels. Two lectures, one with intermediate difficulty level content and the other advanced, were administered, and STR was adopted to aid student learning. The results of this study show that the students who used STR-generated texts outperformed the students who did not. Furthermore, lectures in English caused less cognitive load for low ability EFL students when they used STR-texts. According to the students, the STR-texts were useful for following the instructor, confirming content, clarifying vocabulary, and making up missed information. It was found that STR-texts were used by low EFL ability students during both lectures whereas high EFL ability students used STR-texts during the lecture at the advanced level and only some of high EFL ability students used them during the intermediate lecture. Based on these results, several suggestions and implications for teaching and research community are proposed. (C) 2016 Elsevier Ltd. All rights reserved.
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