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Showing 1 to 15 of 225 results Save | Export
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Xiang Feng; Keyi Yuan; Xiu Guan; Longhui Qiu – Interactive Learning Environments, 2024
Datasets are critical for emotion analysis in the machine learning field. This study aims to explore emotion analysis datasets and related benchmarks in online learning, since, currently, there are very few studies that explore the same. We have scientifically labeled the topic and nine-category emotion of 4715 comment texts in online learning…
Descriptors: MOOCs, Psychological Patterns, Artificial Intelligence, Prediction
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Kun Dai; Yongliang Wang – Journal of Multilingual and Multicultural Development, 2025
Recently, researchers have focused on various factors influencing work engagement, particularly in the EFL context. In this vein, this study was carried out to investigate the relationship among proactive personality, flow, and work engagement in China. In so doing, three instruments including Proactive Personality Scale, Work-Related Flow…
Descriptors: English (Second Language), Language Teachers, Foreign Countries, Personality Traits
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Zhao, Li; Zheng, Yi; Zhao, Junbang; Li, Guoqiang; Compton, Brian J.; Zhang, Rui; Fang, Fang; Heyman, Gail D.; Lee, Kang – Child Development, 2023
Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean…
Descriptors: Cheating, Elementary School Students, Artificial Intelligence, Foreign Countries
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Sang, Guoyuan; Wang, Kai; Li, Shihua; Xi, Jiao; Yang, Dong – Educational Technology Research and Development, 2023
In a very short time, higher education transitioned to online and blended learning, in response to the global COVID-19 pandemic. Although research literature is replete with rationale for instructors to develop digital competence during the Great Online Transition, research on the correlates of digital competence and effort expectancy in relation…
Descriptors: Digital Literacy, College Faculty, Foreign Countries, Work Attitudes
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Chengchen Li; Miroslaw Pawlak; Mariusz Kruk – Journal of Multilingual and Multicultural Development, 2025
The study intended to describe profiles of three achievement emotions (enjoyment, boredom, anxiety), their associations with each other and with control-value appraisals within the framework of the control-value theory. A total of 2002 Chinese university EFL students from 11 universities in China participated in the questionnaire survey.…
Descriptors: Psychological Patterns, Theories, Achievement, Emotional Response
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Zhang, Pei Gang; Tu, Chia Ching – International Journal of Educational Methodology, 2023
This study investigated college students' career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students' professional identity scale, career maturity scale, and academic achievement scale. After…
Descriptors: Foreign Countries, College Students, Professional Identity, Academic Achievement
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Hongli Yang; Jingjing Xiang – Psychology in the Schools, 2025
The relationship between peer support and academic engagement has been widely explored. However, scarce research examined this relationship for college students, and little was known about the underlying mechanism under this relationship. This study aimed to examine the effect of peer support on academic via the mediation of academic motivation…
Descriptors: Peer Relationship, Academic Achievement, Student Motivation, Measurement
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Zhou, Yizhuo; Zhao, Jin; Zhang, Jianjun – Interactive Learning Environments, 2023
On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…
Descriptors: Electronic Learning, Prediction, Dropouts, Student Behavior
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Chen, Qiongqiong – International Education Studies, 2022
Predictive research on the enrollment proportion of general education and vocational education is crucial to optimizing the regional talent structure and industrial structure adjustment. The reasonable enrollment proportion of general education and vocational education also plays an important role in the adjustment of the overall employment…
Descriptors: Prediction, Enrollment, General Education, Vocational Education
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Tao Huang; Jing Geng; Yuxia Chen; Han Wang; Huali Yang; Shengze Hu – Education and Information Technologies, 2024
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…
Descriptors: Artificial Intelligence, Elementary Schools, Secondary Schools, Prediction
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Xuebin Wang; Yanjun Wang; Yaxuan Ye – European Journal of Psychology of Education, 2024
In recent years, e-learning engagement has attracted much attention because the COVID-19 pandemic has forced schools to shift to online teaching without preparation. Therefore, based on the ecological system theory, this study investigates the relationship between subjective socioeconomic status and e-learning engagement among college students and…
Descriptors: Foreign Countries, Socioeconomic Status, Learner Engagement, Electronic Learning
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Shuangye Chen; Jiani Rong – SAGE Open, 2023
This study elucidates the relationship between instructional leadership and teacher self-efficacy by identifying the moderating role of teacher collegiality. Survey data were collected from 1,498 teachers at 53 middle schools in Henan, China. Findings indicate that instructional leadership has a positive impact on teacher self-efficacy. More…
Descriptors: Foreign Countries, Middle School Teachers, Instructional Leadership, Self Efficacy
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Xiaohong Liu; Jon-Chao Hong; Li Zhao – Educational Technology & Society, 2024
Self-directed learning (SDL) is a basic individual ability in modern society. It is of great value to explore SDL and its relationship to learners' online learning effectiveness. This study explored the relationships among online learners' personality traits (neuroticism and extraversion), SDL (SDL-approach and SDL-attitude), and perceived online…
Descriptors: Independent Study, Personality Traits, Electronic Learning, Instructional Effectiveness
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Gao, Ling; Li, Xuan; Wu, Xiani; Wang, Xingchao – School Psychology, 2023
Adolescents with negative student--student relationships are at increased risk for bullying perpetration. Moral disengagement has been well documented as one of the main examined predictive variables of bullying perpetration. However, few studies have examined the mechanism of moral disengagement in the association between student--student…
Descriptors: Adolescents, Peer Relationship, Moral Values, Bullying
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Xiaoli Shu; Xiaobing Shu; Weihua Ouyang – Journal of Career Development, 2024
Based on career construction theory, this study explored the relationship and mediating mechanisms between career adaptability and secondary school students' academic engagement. Four hundred and eight secondary school students from three Chinese secondary schools were surveyed using a three-wave time-lag design. The study found that career…
Descriptors: Career Choice, Secondary School Students, Learner Engagement, Academic Achievement
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