Investigating EFL teachers’ use of generative AI to develop reading materials: A practice and perception study

阅读(过程) 背景(考古学) 心理学 感知 数学教育 生成语法 教育学 专业发展 计算机科学 语言学 人工智能 生物 哲学 古生物学 神经科学
作者
Jieting Jerry Xin
出处
期刊:Language Teaching Research [SAGE Publishing]
被引量:1
标识
DOI:10.1177/13621688241303321
摘要

Generative artificial intelligence (AI) tools have shown great potential for assisting teachers in their teaching routines. However, there is an urgent need for more empirical research to investigate the implementation and effectiveness of these tools. This study aimed to explore how teachers in an English as a foreign language (EFL) context perceived and used a generative AI-based tool, ChatPDF, to develop materials for reading lessons. Data were collected from three EFL teachers’ dialogues with ChatPDF, artefacts (including original and finalized materials), and individual semi-structured interviews. Content analysis was used to analyse the dialogues with ChatPDF through the lens of pedagogical content knowledge. The interviews were analysed thematically, and the artefacts were used for triangulation. The findings show that the teachers mainly used ChatPDF for text modification, task design, and pedagogical suggestions. The teachers relied on their knowledge of pedagogy, knowledge of students, and teacher language awareness during the process of developing language-learning materials with ChatPDF. The findings revealed a ‘D-R-E-A-M’ pattern of teachers’ use of ChatPDF for materials development (determine the needs, render the prompts, evaluate the suggestions, adjust the prompts if necessary, and make the final decision). The teachers acknowledged several advantages and limitations of using ChatPDF to develop materials. The results of this study have pedagogical implications for EFL teachers regarding how to make better use of generative AI tools for materials development, as well as for teacher educators regarding what to include in teacher professional development programmes in the era of generative AI.
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
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
英俊的铭应助徐若楠采纳,获得10
4秒前
Star完成签到 ,获得积分10
5秒前
Jasper应助东东采纳,获得10
5秒前
我爱学习发布了新的文献求助30
9秒前
CodeCraft应助star12138采纳,获得10
10秒前
淡定的天空完成签到,获得积分10
11秒前
xiaoblue完成签到,获得积分10
14秒前
科研狗完成签到 ,获得积分10
16秒前
20秒前
22秒前
超级大猩猩完成签到,获得积分10
22秒前
8888拉完成签到,获得积分10
24秒前
科研通AI5应助任康采纳,获得10
25秒前
深情怀亦发布了新的文献求助10
26秒前
东东发布了新的文献求助10
26秒前
khh完成签到 ,获得积分10
26秒前
学习使我快乐完成签到 ,获得积分10
26秒前
Zz完成签到 ,获得积分10
32秒前
亵渎完成签到,获得积分10
34秒前
34秒前
任康完成签到,获得积分20
34秒前
谦让的凝阳完成签到,获得积分10
37秒前
abcdefg发布了新的文献求助10
37秒前
38秒前
大模型应助111采纳,获得10
39秒前
科研通AI5应助稀饭采纳,获得10
40秒前
ovo完成签到,获得积分10
40秒前
WangY1263发布了新的文献求助10
43秒前
阿毛呢发布了新的文献求助30
43秒前
科研通AI5应助骉骉采纳,获得10
47秒前
灵巧的十八完成签到 ,获得积分10
47秒前
TangWL完成签到 ,获得积分10
48秒前
saxg_hu完成签到,获得积分10
48秒前
莎莎薯条完成签到,获得积分10
49秒前
完美世界应助nhh采纳,获得10
49秒前
humble完成签到 ,获得积分10
50秒前
WSZXQ完成签到,获得积分10
50秒前
50秒前
羊白玉完成签到 ,获得积分10
54秒前
WangY1263完成签到,获得积分10
54秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
ISCN 2024 – An International System for Human Cytogenomic Nomenclature (2024) 3000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Fashion Brand Visual Design Strategy Based on Value Co-creation 350
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3777858
求助须知:如何正确求助?哪些是违规求助? 3323378
关于积分的说明 10214206
捐赠科研通 3038610
什么是DOI,文献DOI怎么找? 1667553
邀请新用户注册赠送积分活动 798171
科研通“疑难数据库(出版商)”最低求助积分说明 758290