Applying the online language learners' characteristics model in connection with various personality traits: A latent profile analysis

被引：0
作者：
Liang, Yuan [1 ,2 ]
Ji, Ting [1 ]
Zhou, Shuying [1 ]
Liu, Xiaolin [1 ]
Yan, Hao [1 ,2 ]
机构：
[1] Xian Int Studies Univ, Key Lab Artificial Intelligence & Cognit Neurosci, Xian, Peoples R China
[2] Xian Int Studies Univ, Shaanxi Prov Key Lab Language & Brain Sci & Intell, Xian, Peoples R China
来源：
BRITISH EDUCATIONAL RESEARCH JOURNAL | 2025年 / 51卷 / 03期
关键词：
latent profile analysis; learners' characteristics; online language learning; personality trait; SELF-EFFICACY; ACADEMIC-ACHIEVEMENT; LEARNING ANALYTICS; MOTIVATION; CONSCIENTIOUSNESS; 2ND-LANGUAGE; ATTRIBUTION; STRATEGY; ENGLISH; SUCCESS;
D O I：
10.1002/berj.4118
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
Constructing personalised and effective online language learning models based on individual personality differences is crucial in the field of education. However, there is little research on how to apply these models to students in science and engineering who have varying personality profiles. This study aimed to assess the validity of the Online Language Learners' Characteristics Model Questionnaire and investigate how its structure and performance differ among individuals with different personality traits. A total of 1015 college students completed a pen-and-paper questionnaire in online classes. The results showed that online characteristics were explained by a five-factor model consisting of language learning strategy, attitude, motivation, causal attribution, and self-efficacy. A latent profile analysis was conducted to identify four distinct personality profiles. Measurement invariance and differences in characteristics among the four personality types were examined. Our findings offer initial evidence of the specific connections between personality traits and online language learning characteristics at the individual level.
引用
收藏
页码：1178 / 1200
页数：23
相关论文
共 88 条
[1]   Big five, linguistic styles, and successful online learning [J].
Abe, Jo Ann A. .
INTERNET AND HIGHER EDUCATION, 2020, 45
[2]   Learner modelling: systematic review of the literature from the last 5 years [J].
Abyaa, Abir ;
Idrissi, Mohammed Khalidi ;
Bennani, Samir .
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 2019, 67 (05) :1105-1143
[3]   The Need of Integrating Digital Education in Higher Education: Challenges and Opportunities [J].
Alenezi, Mamdouh ;
Wardat, Saja ;
Akour, Mohammed .
SUSTAINABILITY, 2023, 15 (06)
[4]   The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements [J].
Bai, Barry ;
Wang, Jing .
LANGUAGE TEACHING RESEARCH, 2023, 27 (01) :207-228
[5]   Finding satisfaction: intrinsic motivation for synchronous and asynchronous communication in the online language learning context [J].
Bailey, Daniel ;
Almusharraf, Norah ;
Hatcher, Ryan .
EDUCATION AND INFORMATION TECHNOLOGIES, 2021, 26 (03) :2563-2583
[6]   Application of learning analytics using clustering data Mining for Students' disposition analysis [J].
Bharara, Sanyam ;
Sabitha, Sai ;
Bansal, Abhay .
EDUCATION AND INFORMATION TECHNOLOGIES, 2018, 23 (02) :957-984
[7]   A conceptual framework to enhance student online learning and engagement in higher education [J].
Brown, Alice ;
Lawrence, Jill ;
Basson, Marita ;
Redmond, Petrea .
HIGHER EDUCATION RESEARCH & DEVELOPMENT, 2022, 41 (02) :284-299
[8]   There are Open Learner Models About! [J].
Bull, Susan .
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2020, 13 (02) :425-448
[9]   SMILI (sic): a Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields [J].
Bull, Susan ;
Kay, Judy .
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2016, 26 (01) :293-331
[10]   The Contribution of Learner Characteristics and Perceived Learning to Students' Satisfaction and Academic Performance during COVID-19 [J].
Butt, Sameera ;
Mahmood, Asif ;
Saleem, Saima ;
Murtaza, Shah Ali ;
Hassan, Sana ;
Molnar, Edina .
SUSTAINABILITY, 2023, 15 (02)
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