Figure - available from: Computational Intelligence and Neuroscience
This content is subject to copyright. Terms and conditions apply.
Source publication
This work is to reduce the workload of teachers in English teaching and improve the writing level of students, so as to provide a way for students to practice English composition scoring independently and satisfy the needs of college teachers and students for intelligent English composition scoring and intelligently generated comments. In this work...
Citations
... Therefore, AI could reduce the workload of educators, reduce the number of educators needed per student, increase the overall quality of care provided, and, as a result, improve overall patient satisfaction and outcomes in educational institutions such as dental schools. (28)(29)(30)(31) For students, AI may enhance their learning experience by more effectively monitoring their progress and subsequently adapting the teaching content to their individual needs. (32) This would allow a dental student to receive a more personalized education and may effectively make it easier for individuals to overcome specific challenges and to strengthen areas where they might need further instruction. ...
... AWE systems facilitate L2 writing development by supporting learners' reflective feedback [12]. These systems rapidly diagnose many essays, thus reducing teachers' workload [13]. Moreover, research results indicate that when AWE is used effectively to support the teaching and learning of writing, students appear to improve their writing performance [14]. ...
span lang="EN-US">Nowadays, many computer programs are used in the teaching of writing in the context of English as a foreign language (EFL). One of the functions of the computer programs is to provide feedback to EFL students’ writing so that the quality of their writing can be improved. This study aimed to investigate whether the use of free automated writing evaluation (AWE) tools affect undergraduate EFL students’ writing skills. In this experimental study, 35 Indonesian undergraduate students of English education department were asked to use two AWE tools, Grammarly and Grammark, in the writing course over four months. Data for this study were collected by using tests and questionnaire. Pre-test, middle test, and post-test were administered to examine the students’ writing skill improvement. The findings indicate that the sequenced use of two AWE tools, Grammarly followed by Grammark, had a beneficial effect on students’ writing skill improvement. This study confirms the benefits of free AWE tools in enhancing EFL students’ writing skills.</span
Technology has greatly improved and made learning English easier in this day and age. Machine translation (MT) is the use of computers to translate documents from one human language into another. This research aims to examine the machine translation in enhancing English vocabulary mastery for University Students. The methodology used in this study is descriptive qualitative. Vocabulary comprehension is considered to be a difficult subject, although the majority of pupils find it difficult. Due to the complexity of word forms, word choices, and various meanings, learning to master English vocabulary can be difficult. Google Translate is one program that employs multilingual translation processes using online machine translation (MT) methodologies. The results showed that vocabulary learning strategies should be applied in the classroom to boost university students' vocabulary expansion. To increase one's command of the target language and advance to competency levels, one must learn new vocabulary. Therefore, researchers are always looking for the best approach to teach vocabulary by using machine translation.
