AI-enhanced video drama-making for improving writing and speaking skills of students learning English as a foreign language

戏剧 心理学 外语 数学教育 语言习得 教育学 计算机科学 视觉艺术 艺术
作者
Wu-Yuin Hwang,Muhammad Irfan Luthfi,Yifan Liu
出处
期刊:Innovation in Language Learning and Teaching [Informa]
卷期号:: 1-18
标识
DOI:10.1080/17501229.2024.2437655
摘要

Advanced technologies, such as artificial intelligence (AI), have been used by teachers to enhance English as a Foreign Language (EFL) learning. However, few studies have employed AI in the making of video dramas to facilitate EFL learning. In this study, AI was used to recognize the authentic context of a drama and provide students with meaningful lexical resources, including vocabulary and sentence structures, to inspire them in their writing. Video-to-text recognition (VTR) and AI methods were used to develop an AI-enhanced video drama (AI-EVD) application for EFL learning, and its effectiveness for improving EFL writing and speaking was investigated by recruiting 77 university students in three groups: an experimental group (EG), which used the app, and control groups, which used the app without AI features (CG1) or participated in conventional learning (CG2). Learning achievement in the EG was significantly higher than that in CG1 or CG2. An analysis of the correlation between learning behavior and learning achievement showed that VTR-generated vocabulary, generative pretrained transformer (GPT)-generated sentences, and a pronunciation correction mechanism significantly improved the students' performance. Further analysis with a stepwise multiple regression model revealed that the GPT-generated sentences feature was the learning behavior with the strongest effect on writing and speaking skills. Moreover, the AI-EVD application was perceived as being easy to use, helpful, and engaging according to the results of student questionnaires and interviews. Therefore, the AI-EVD application can motivate EFL students, enable them to produce meaningful video dramas, and improve their writing and speaking skills.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
KDC发布了新的文献求助10
1秒前
1秒前
2秒前
沧浪发布了新的文献求助10
4秒前
qipupu222完成签到 ,获得积分10
6秒前
慢慢的地理人完成签到,获得积分10
8秒前
吴宵发布了新的文献求助10
9秒前
千凡发布了新的文献求助10
9秒前
NexusExplorer应助科研通管家采纳,获得10
12秒前
上官若男应助科研通管家采纳,获得10
12秒前
科研通AI2S应助科研通管家采纳,获得10
12秒前
bkagyin应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
12秒前
今后应助aha采纳,获得10
12秒前
素心如水发布了新的文献求助10
13秒前
17秒前
18秒前
20秒前
weijiechi发布了新的文献求助10
21秒前
成诗怡发布了新的文献求助10
23秒前
23秒前
赘婿应助司马三问采纳,获得10
24秒前
榆木先生完成签到 ,获得积分10
26秒前
稳重的闭月完成签到,获得积分10
36秒前
37秒前
38秒前
一大口发布了新的文献求助10
42秒前
43秒前
44秒前
852发布了新的文献求助10
44秒前
46秒前
aha发布了新的文献求助10
48秒前
司马三问发布了新的文献求助10
49秒前
852应助Propranolol采纳,获得10
51秒前
落叶发布了新的文献求助10
52秒前
司马三问完成签到,获得积分20
53秒前
一个小短发完成签到,获得积分10
55秒前
生动千风发布了新的文献求助10
57秒前
高分求助中
Востребованный временем 2500
Aspects of Babylonian celestial divination: the lunar eclipse tablets of Enūma Anu Enlil 1000
Kidney Transplantation: Principles and Practice 1000
The Restraining Hand: Captivity for Christ in China 500
Encyclopedia of Mental Health Reference Work 400
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
Mercury and Silver Mining in the Colonial Atlantic 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3373873
求助须知:如何正确求助?哪些是违规求助? 2991010
关于积分的说明 8743452
捐赠科研通 2674707
什么是DOI,文献DOI怎么找? 1465321
科研通“疑难数据库(出版商)”最低求助积分说明 677818
邀请新用户注册赠送积分活动 669337