Evaluation of an online oral English teaching model using big data
Song, Yuchen and Wei, Yi and Shen, Yun and Xu, Manman (2022) Evaluation of an online oral English teaching model using big data. Mobile Information Systems, 2022. 7934575. ISSN 1875-905X (https://doi.org/10.1155/2022/7934575)
Preview |
Text.
Filename: Song_etal_MIS_2022_Evaluation_of_an_online_oral_English_teaching_model.pdf
Final Published Version License: Download (565kB)| Preview |
Abstract
In order to improve the online oral English teaching model, enhance its efficiency, and widen its utilization in university teaching, this study developed a rigorous oral English teaching model, constructed a comprehensive oral English evaluation model, and used PBL to guide the direction of oral English curriculum under the influence of big data-driven background. The use of online oral English teaching mode was realized to ensure that students can internalize knowledge in class. A complete teaching method was used to ensure that learners can master more knowledge in English class, promote the operation of online English learning in the network environment and create a safe learning environment for students, improve students' oral English ability, improve oral teaching, and improve the integrity of oral teaching. The deepening of big data and online review teaching will be the requirements of the future teaching environment. Therefore, it was decided that only by making full use of all the advantages of information technology, combined with the background of education and teaching, can we explore the new education and training methods needed in the new semester.
-
-
Item type: Article ID code: 81876 Dates: DateEvent3 August 2022Published11 July 2022AcceptedNotes: Published in the Special Issue 'Edge Intelligence in Internet of Things using Machine Learning 2022' Subjects: Education
TechnologyDepartment: Faculty of Humanities and Social Sciences (HaSS) > Strathclyde Institute of Education > Education Depositing user: Pure Administrator Date deposited: 16 Aug 2022 09:24 Last modified: 11 Nov 2024 13:35 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/81876