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Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
Liwei Hsu – European Journal of Education, 2025
As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL learners' continuance intention to use GenAI for language learning through PLS-SEM and fsQCA methodologies. Participants were undergraduate EFL…
Descriptors: Second Language Learning, English (Second Language), Artificial Intelligence, Student Attitudes
Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Shih, Shu-Shen – Journal of Educational Research, 2021
The present study examined the relationships of Taiwanese eighth graders' perceived autonomy support from teachers, parental psychological control, implicit theories of intelligence, and achievement goal orientations to their agentic, behavioral, emotional, and cognitive engagement in schoolwork. Also, the current research explored the determining…
Descriptors: Adolescents, Grade 8, Junior High School Students, Learner Engagement
Wang, Li-Chih; Yang, Hsien-Ming – Learning Disability Quarterly, 2020
This study examined the extent to which Chinese children with dyslexia show temporal processing deficits in addition to deficits in various forms of attention. In total, 104 Chinese children in primary school (Grades 3-6) were recruited in Taiwan. Half of the children were identified as having dyslexia, and the other half were typically developing…
Descriptors: Foreign Countries, Grade 3, Grade 4, Grade 5
Liao, Chen-Huei; Georgiou, George K.; Zhang, Xiao; Nurmi, Jari-Erik – Learning and Individual Differences, 2013
We examined the cross-lagged relations between children's task-avoidant behavior and their performance in reading and spelling in Chinese. Eighty Grade 2 and 103 Grade 4 Mandarin-speaking Taiwanese children were assessed on measures of nonverbal IQ, task value, reading accuracy, fluency, and spelling. A year later, the children were reassessed on…
Descriptors: Children, Child Behavior, Reading, Accuracy
Yang, Pinchen; Lung, For-Wey; Jong, Yuh-Jyh; Hsu, Hsiu-Yi; Chen, Cheng-Chung – Research in Developmental Disabilities: A Multidisciplinary Journal, 2010
As part of an ongoing clinical service program for children with developmental delay in an Asian developing country, we analyzed the cognitive attributes of 362 Taiwanese children (average age 48.5 plus or minus 12.9 month-old) with uneven/delayed cognitive development as they were assessed repeatedly with average duration of 39.7 plus or…
Descriptors: Age Differences, Gender Differences, Mental Retardation, Autism