Immediate vs. Delayed Corrective Feedback in Online English Learning: Analyzing Emotional Engagement through Facial Expressions

被引：0
作者：
Wanying Liang [1 ]
Zheng Shi [2 ]
Guang Chen [3 ]
Wei Cheng [2 ]
机构：
[1] Beijing Normal Univ, Fac Psychol, Beijing 100875, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Sch Educ Sci & Technol, Nanjing 210023, Peoples R China
[3] Beijing Normal Univ, Sch Educ Technol, Fac Educ, Beijing 100875, Peoples R China
来源：
2024 5TH INTERNATIONAL CONFERENCE ON EDUCATION DEVELOPMENT AND STUDIES, ICEDS 2024 | 2024年
关键词：
Emotional Engagement; Corrective Feedback; Deep Learning; Facial Expression Analysis; EFL Adult Learners;
D O I：
10.1145/3669947.3669960
中图分类号：
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号：
0201 ; 020105 ; 03 ; 0303 ;
摘要：
This study examines the emotional engagement of 8 adult EFL learners divided into two groups receiving either immediate or delayed corrective feedback. Utilizing deep learning-based facial recognition technology, the study quantifies the learners' emotional responses and assesses their emotional engagement through affective computing models. Findings suggest that learners receiving immediate feedback showed higher emotional engagement than those in the delayed feedback group, despite significant emotional variability among individuals. The application of machine learning technology in data analysis offers a detailed and objective insight into the emotional states of EFL learners, surpassing traditional assessment methods.
引用
收藏
页码：65 / 70
页数：6
相关论文
共 11 条
  • [1] A new emotion-based affective model to detect student's engagement
    Altuwairqi, Khawlah
    Jarraya, Salma Kammoun
    Allinjawi, Arwa
    Hammami, Mohamed
    [J]. JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2021, 33 (01) : 99 - 109
  • [2] Assessing student engagement from facial behavior in on-line learning
    Buono, Paolo
    De Carolis, Berardina
    D'Errico, Francesca
    Macchiarulo, Nicola
    Palestra, Giuseppe
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (09) : 12859 - 12877
  • [3] The associations between foreign language anxiety and the effectiveness of immediate and delayed corrective feedback
    Fu, Mengxia
    Li, Shaofeng
    [J]. FOREIGN LANGUAGE ANNALS, 2024, 57 (01) : 201 - 228
  • [4] The use of facial expressions in measuring students' interaction with distance learning environments during the COVID-19 crisis
    Maqableh, Waleed
    Alzyoud, Faisal Y.
    Zraqou, Jamal
    [J]. VISUAL INFORMATICS, 2022, 7 (01) : 1 - 17
  • [5] Modern Language Division C. of E. C. for C. C. E. C. M. L., 2001, Common European framework of reference for languages: Learning, teaching, assessment
  • [6] Investigating the Effect of Noticing on EFL Students' Speaking Accuracy
    Navidinia, Hossein
    Mobaraki, Mohsen
    Malekzadeh, Farzaneh
    [J]. INTERNATIONAL JOURNAL OF INSTRUCTION, 2019, 12 (01) : 83 - 98
  • [7] Quinn P., 2014, Delayed versus immediate corrective feedback on orally produced passive errors in English
  • [8] Assessing learning engagement based on facial expression recognition in MOOC's scenario
    Shen, Junge
    Yang, Haopeng
    Li, Jiawei
    Cheng, Zhiyong
    [J]. MULTIMEDIA SYSTEMS, 2022, 28 (02) : 469 - 478
  • [9] DeepFace: Closing the Gap to Human-Level Performance in Face Verification
    Taigman, Yaniv
    Yang, Ming
    Ranzato, Marc'Aurelio
    Wolf, Lior
    [J]. 2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2014, : 1701 - 1708
  • [10] Differential effects of explicit and implicit corrective feedback on EFL learners' willingness to communicate
    Tavakoli, Mansoor
    Zarrinabadi, Nourollah
    [J]. INNOVATION IN LANGUAGE LEARNING AND TEACHING, 2018, 12 (03) : 247 - 259
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