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Yuxin Zhang – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study investigates the key factors influencing preschool teachers' sustained use of Artificial Intelligence-Generated Content (AIGC) technology in educational settings. While prior research has extensively examined initial adoption, little attention has been given to understanding the continuous intention of preschool teachers…
Descriptors: Preschool Teachers, Artificial Intelligence, Technology Integration, Technology Uses in Education
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Tate LeBlanc; Juan Ramón Arvizu-Sevilla; Aerika Brittian Loyd; Bernadette Sánchez; Lauren Applebaum – Journal for STEM Education Research, 2025
Despite facing systemic and persistent exclusion from STEM careers, Black and Latine youth show rising STEM aspirations during adolescence under certain conditions. Guided by meaning-making and career development perspectives, this study explores how ethnic-racial identity and career outcome expectations predict STEM aspirations among Black and…
Descriptors: Ethnicity, Racial Identification, Occupational Aspiration, Expectation
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Brett D. Jones; Xiao Zhu; Margaret Ellis; Zeynep Ambarkutuk; Hande Fenerci – European Journal of Engineering Education, 2025
To address the demand for engineers and computer scientists in the workforce, and the fact that some engineering students dropout or change majors, we explored how the motivational climate in an undergraduate computer science (CS) course was related to students' motivational beliefs and academic and career goals. Participants included 310 students…
Descriptors: Student Attitudes, Student Motivation, Beliefs, Occupational Aspiration
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Jianzhong Xu – European Journal of Psychology of Education, 2024
The present study investigated multilevel models posited to predict student approaches to homework. Participants were 1,072 middle school students in China. Results revealed that deep and surface approaches were positively associated with performance-approach. Furthermore, deep approach to homework was associated negatively with homework cost, yet…
Descriptors: Homework, Hierarchical Linear Modeling, Predictor Variables, Middle School Students
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Jianzhong Xu – Psychology in the Schools, 2024
This study aimed to examine multilevel models posited to predict student perceptions of teacher feedback quality. A cross-sectional survey design was used, involving 1072 middle school students. We incorporated two clusters of variables: (a) student characteristics (gender, prior knowledge, parent education, homework expectancy, homework value,…
Descriptors: Student Attitudes, Feedback (Response), Educational Quality, Homework
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Eeva S. H. Haataja; Markku Niemivirta; Marja E. Holm; Pia Ilomanni; Anu Laine – European Journal of Psychology of Education, 2024
The learning context, consisting of the school children's families, teachers, and peers, has effect on their mathematics learning. The concern of students' socioeconomic status (SES) affecting negatively their learning outcomes is increasing worldwide. This study investigates whether Finnish elementary school students' SES affects their…
Descriptors: Socioeconomic Status, Elementary School Students, Mathematics Achievement, Student Attitudes
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Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis – Technology, Knowledge and Learning, 2023
Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a major setback for successful BL implementation. Therefore, this study developed a model to examine the factors that influences…
Descriptors: Higher Education, Intention, Predictor Variables, Blended Learning
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María García de Blanes Sebastián; José Ramón Sarmiento Guede; Alberto Azuara Grande; Antonio Ferrao Filipe – Education and Information Technologies, 2025
During COVID-19 pandemic, Mobile learning (M-learning) was implemented in many universities to continue teaching. Consequently, its use has increased drastically, facing new challenges and benefits. The main aim of this research is to adopt the Unified Theory of Acceptance and Use of Extended Technology (UTAUT-2) to determine the intention of…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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Charlotte Y. Alverson; Kyle Reardon; Christina D. Howard; Gerrit Wiebe; Catherine H. Fowler; Dawn A. Rowe; Valerie L. Mazzotti – Career Development and Transition for Exceptional Individuals, 2025
To improve postschool outcomes for students with disabilities, research in secondary transition has increasingly aimed to identify in-school experiences that contribute to positive outcomes after high school. Although research on postschool success for this population has recently identified seven new predictors, operational definitions and…
Descriptors: Students with Disabilities, Predictor Variables, Success, High School Students
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Anderson, Darcie L.; Hooks, Tisha – Journal of College Student Retention: Research, Theory & Practice, 2022
With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…
Descriptors: College Freshmen, Expectation, Predictor Variables, Academic Achievement
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Tulagan, Nestor B.; Puente, Kayla; Simpkins, Sandra D. – Applied Developmental Science, 2023
Integrating situated expectancy-value and family systems theories, the current study tested the extent to which Latinx adolescents' 9th-grade school-related science conversations with parents and older siblings/cousins positively predicted their 10th-grade science ability self-concepts and task values. We also tested whether these links were…
Descriptors: Hispanic American Students, High School Students, Science Education, Family Relationship
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Gao, Miao; Luo, Li – European Early Childhood Education Research Journal, 2023
Home-based parental involvement is widely considered to be associated with early learning outcomes. However, previous research has heavily focused on school-age children and has relied heavily on Western samples. After China relaxed its one-child policy in 2013, the impact on Chinese families became visible. This study analyzes the data of 3272…
Descriptors: Foreign Countries, Parent Participation, Expectation, Socioeconomic Status
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Or, Caleb – International Journal of Technology in Education and Science, 2023
The Unified Theory of Technology and Use of Technology (UTAUT) has been widely used in information system studies since its introduction in 2003. The current study synthesizes 40 empirical studies based on UTAUT in educational contexts using the one-stage meta-analytic structural equation modelling method. While the study confirmed the initial…
Descriptors: Technology Uses in Education, Educational Technology, Information Systems, Meta Analysis
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Linjia Zhang; Norman B. Mendoza; Yi Jiang – European Journal of Psychology of Education, 2025
Students' perceptions of the classroom environment are critical determinants of their motivation and academic success. However, the psychological mechanisms through which these contextual factors influence academic outcomes remain insufficiently explored, particularly in different subject domains. Grounded in the Situated Expectancy-Value Theory,…
Descriptors: Student Attitudes, Classroom Environment, Predictor Variables, Secondary School Students
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Mehdi Haseli Songhori; Ida Fatimawati Adi Badiozaman; Reza Ahmadi – Journal of Further and Higher Education, 2024
This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members' acceptance of hybrid instruction and (ii) identify factors influencing the faculty members' behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural…
Descriptors: Blended Learning, Intention, College Faculty, COVID-19
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