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Yi, Hyun Sook; Na, Wooyoul – Asia Pacific Journal of Education, 2020
Maths anxiety has been of great concern for many educators and educational policymakers because of its adverse effects on students' maths performance and career path. Various empirical studies have been conducted to explore the factors predicting maths anxiety, and they have typically been based on a limited set of pre-specified variables, such as…
Descriptors: Mathematics Anxiety, Predictor Variables, International Assessment, Achievement Tests
Tsai, Shu-Min; Wang, Yaw-Yih; Weng, Chih-Miao – Journal of Education and Learning, 2020
The study explored the relationships between digital games internet addiction, peer relationships, and learning attitudes through questionnaire survey in senior grade of elementary school children in elementary school in Chiayi County. Taking 735 students as the research object, SPSS 22.0 as a quantity research analysis instrument was applied to…
Descriptors: Computer Games, Internet, Addictive Behavior, Peer Relationship
Crossley, Scott A.; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Journal of Educational Data Mining, 2016
This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…
Descriptors: Essays, Scoring, Writing Evaluation, Natural Language Processing
Ezen-Can, Aysu; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2015
The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Science Education, Problem Solving
Bilikozen, Neslihan; Akyel, Ayse – Reading Matrix: An International Online Journal, 2014
This study explores the relative contribution to EFL reading comprehension of the following individual-difference variables: prior knowledge, topic interest, linguistic proficiency, gender, reading motivation, and metacognitive awareness. It also investigates the relationship between the aforementioned individual differences and the role of text…
Descriptors: Individual Differences, Reading Motivation, Prior Learning, Second Language Learning
Bonitz, Verena Sylvia – ProQuest LLC, 2011
The goal of this experimental study was to evaluate the influence of course type, instructor and student gender, and student individual differences (domain-specific vocational interests and confidence, personality, and gender role attitudes) on student evaluation of teaching (SET) scores. A sample of 610 college students (372 female) rated…
Descriptors: Student Evaluation of Teacher Performance, College Students, Student Attitudes, Student Characteristics
Wright, Delivee L.; Bond, Steven C. – 1985
The relationships between a diverse set of individual difference, demographic, and aptitude variables; and a set of student attitudes and behaviors pertinent to experiences in large lecture classes were examined. The sample was 4300 students enrolled in 33 lecture classes at a large university. The relationship between the set of individual…
Descriptors: Academic Achievement, Aptitude Treatment Interaction, Correlation, Higher Education