Chinese university students' attention level during COVID-19 pandemic

被引:0
作者
Wu, Xiaolan [1 ]
Li, Hui [1 ]
Gao, Chunjuan [1 ]
Shen, Lei [1 ]
Tinmaz, Hasan [2 ]
机构
[1] Woosong Univ, Gen Grad Sch, Daejeon, South Korea
[2] Woosong Univ, Endicott Coll Int Studies, AI & Big Data Dept, Daejeon, South Korea
关键词
students' attention level; online learning; COVID-19; university; China;
D O I
10.1504/IJIL.2024.137647
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The level of attention that university students can pay to their study is one of the important factors influencing their academic achievements, especially during the COVID-19 period, with online courses. The aim of this study is to find out the factors that influence university students' attention level. A questionnaire about students' level of attention during online courses was completed by English-majored students of different professional directions in a Chinese university (n = 611). Comparative tests show that gender difference in the attention level is significant in that female students take COVID-19 more seriously than male students as they cheat less and work harder; female students have a greater level of attention than male students do. Test results also show that grade difference is statistically significant in that freshmen have the greatest level of attention, and junior students are easier to adapt to online education and to use online platform.
引用
收藏
页码:366 / 385
页数:21
相关论文
共 48 条
  • [21] Cognitive Behavioral Therapy for Attention-Deficit/Irlyperactivity Disorder in College Students: A Review of the Literature
    He, J. Allison
    Antshel, Kevin M.
    [J]. COGNITIVE AND BEHAVIORAL PRACTICE, 2017, 24 (02) : 152 - 173
  • [22] Kar D., 2014, American Journal of Educational Research, V2, P669, DOI [10.12691/education-2-8-16, DOI 10.12691/EDUCATION-2-8-16]
  • [23] Judgment accuracy of preservice teachers regarding student performance: The influence of attention allocation
    Karst, Karina
    Bonefeld, Meike
    [J]. TEACHING AND TEACHER EDUCATION, 2020, 94
  • [24] Online or face-to-face instruction? A qualitative study on the electrocardiogram course at the University of Ulm to examine why students choose a particular format
    Keis, Oliver
    Grab, Claudia
    Schneider, Achim
    Oechsner, Wolfgang
    [J]. BMC MEDICAL EDUCATION, 2017, 17
  • [25] Learner-content interaction in e-learning- the moderating role of perceived harm of COVID-19 in assessing the satisfaction of learners
    Kumar, Pardeep
    Saxena, Charu
    Baber, Hasnan
    [J]. SMART LEARNING ENVIRONMENTS, 2021, 8 (01)
  • [26] Lee H, 2018, 2018 32ND INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), P914, DOI 10.1109/ICOIN.2018.8343256
  • [27] Li C., 2020, THIS IS
  • [28] Lin CH, 2022, EDUC TECHNOL SOC, V25, P155
  • [29] Recognizing the Degree of Human Attention Using EEG Signals from Mobile Sensors
    Liu, Ning-Han
    Chiang, Cheng-Yu
    Chu, Hsuan-Chin
    [J]. SENSORS, 2013, 13 (08): : 10273 - 10286
  • [30] The Effect of Age on Attention Level: A Comparison of Two Age Groups
    Lufi, Dubi
    Segev, Shahar
    Blum, Adi
    Rosen, Tal
    Haimov, Iris
    [J]. INTERNATIONAL JOURNAL OF AGING & HUMAN DEVELOPMENT, 2015, 81 (03) : 176 - 188