NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,516 to 1,530 of 38,805 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Mike Sleeman; John Everatt; Alison Arrow; Amanda Denston – Journal of Research in Reading, 2024
Background: This study explored the impact of different cut-off points used to identify children with reading difficulties on the distribution of these children across the three poor reader groups predicted by the simple view of reading (dyslexia, specific comprehension difficulty and mixed difficulty). Additionally, the study investigated whether…
Descriptors: Reading Difficulties, Identification, Predictor Variables, Dyslexia
Peer reviewed Peer reviewed
Direct linkDirect link
Simin Cao; Chuanmei Dong; Hui Li – Education and Information Technologies, 2024
Digital technologies are increasingly integrated into the daily lives of young children. However, disparities in access and use quality, known as the 'digital divide,' persist. Parents play a crucial role in narrowing this divide during early childhood, but the underlying mechanisms remain inconclusive. This study investigates how family…
Descriptors: Foreign Countries, Preschool Children, Digital Literacy, Parents
Peer reviewed Peer reviewed
Direct linkDirect link
Emma Nicole Lomberg; Jacques Jordaan – SAGE Open, 2024
South African undergraduate university students face many unique challenges that put them at risk of developing mental health concerns such as depression, anxiety, stress, suicidal ideation, and posttraumatic stress disorder. However, psychological well-being has been found to play an essential role when it comes to effectively coping with and…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Student Welfare
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
Alexander Charles Rausch – ProQuest LLC, 2024
This non-experimental correlational quantitative research study was conducted to examine the relationship between the percentage of voluntary live synchronous virtual lesson attendance (LVLA) and the reading comprehension skill growth of sixth through eighth-grade English Language Arts (ELA) students enrolled in a Pennsylvania full-time online…
Descriptors: Synchronous Communication, Electronic Learning, Reading Comprehension, Grade 6
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Suhrab Khan; Kazim Ali – International Journal for Research in Vocational Education and Training, 2024
Purpose: The present study investigates the influence of demographic factors on the demand for Technical and Vocational Education and Training (TVET) in Pakistan. The government of Pakistan has implemented various skill enhancement programs to harness the demographic dividend. However, only a small portion of the workforce receives any form of…
Descriptors: Foreign Countries, Vocational Education, Labor Needs, Job Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Marcell Nagy; Roland Molontay – International Journal of Artificial Intelligence in Education, 2024
Student drop-out is one of the most burning issues in STEM higher education, which induces considerable social and economic costs. Using machine learning tools for the early identification of students at risk of dropping out has gained a lot of interest recently. However, there has been little discussion on dropout prediction using interpretable…
Descriptors: Dropout Characteristics, Dropout Research, Intervention, At Risk Students
Peer reviewed Peer reviewed
Direct linkDirect link
Anne van Leest; Lisette Hornstra; Jan van Tartwijk; Janneke van de Pol – British Educational Research Journal, 2024
In some tracked educational systems, track recommendations are formulated by primary school teachers to determine the secondary school level that students will be allocated to. While teachers mostly base their track recommendations on students' prior achievement, the extent to which teachers also consider perceived student attributes, such as…
Descriptors: Track System (Education), Teacher Attitudes, Student Characteristics, Individual Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Jonas Kanefke; Stanislaw Schukajlow – Journal of Mathematics Teacher Education, 2024
Students' emotions (e.g., enjoyment, boredom) while doing math and their situational interest in mathematics are important for their learning of mathematics, but examinations of teachers' judgments of students' emotions and interest while solving tasks are rare. Moreover, we do not know much about the predictors of teachers' judgments of students'…
Descriptors: Preservice Teachers, Evaluative Thinking, Student Evaluation, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Jose Ma Gopez; Beatriz Gopez – European Journal of Psychology of Education, 2024
Due to the advent of the pandemic, online learning was fully introduced into the Philippine educational setup. One of the emerging challenges that online teachers face is fostering student engagement in virtual classrooms. Thus, this paper aimed to examine the predictors of student engagement in online learning. The mediating role of…
Descriptors: Foreign Countries, College Students, Electronic Learning, Online Courses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rabia Dinçer; Mustafa Polat; Nazmi Dinçer – Asian Journal of Distance Education, 2024
This study explores the intersection of Technological Pedagogical Content Knowledge (TPACK) and Technology Integration Self-Efficacy (TISE) among EFL instructors in Turkey. Utilizing a quantitative approach, 101 EFL instructors were across various Turkish universities, employing the TPACK-EFL assessment and the TISE questionnaire. Our findings…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Self Efficacy, Language Teachers
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Ying Zhan; Daner Sun; Ho Man Kong; Ye Zeng – British Journal of Educational Technology, 2024
There is a global trend in the increased adoption of e-assessment in school classrooms to enhance learning. Teachers, as classroom-based assessment designers and implementers, play a vital role in such assessment change. However, little is known about school teachers' classroom-based e-assessment practices and the underlying reasons. To address…
Descriptors: Elementary School Teachers, Student Evaluation, Evaluation Methods, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Michele Y. Wiese; Roger J. Stancliffe; Seeta Durvasula; Daniel W. Piepers; Nathan J. Wilson – Journal of Intellectual Disabilities, 2024
This study reports on a five-year data set about the deaths of 599 individuals in New South Wales Australia, who at the time of their death were living in out-of-home care. Analysis aimed to: i) gain a clearer understanding of place of death for people with intellectual disability; and ii) identify and analyse associated variables to investigate…
Descriptors: Intellectual Disability, Family Environment, Death, Content Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Margaret Rosencrans; AnnaCecilia McWhirter; Sheila Lopez; Laura Lee McIntyre – International Journal of Developmental Disabilities, 2024
Children with developmental delay (DD) are at increased risk for behavioral difficulties. Past research has indicated that behavioral problems can interact with other parental difficulties in families of children with DD. To date, no research has explored the moderating role of marital satisfaction in the relationship between child behavioral…
Descriptors: Children, Developmental Delays, Interpersonal Relationship, Child Rearing
Pages: 1  |  ...  |  98  |  99  |  100  |  101  |  102  |  103  |  104  |  105  |  106  |  ...  |  2587