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Andrea Kottmann; Kim Schildkamp; Barend van der Meulen – Innovative Higher Education, 2024
The study examined what factors determine the use of educational innovations by teachers in higher education. Three sort of factors were compared: teachers' motivation for the enhancement of education, their contact with or exposure to dissemination of educational innovations and institutional factors, that is, support provided by higher education…
Descriptors: Public Colleges, Higher Education, Foreign Countries, Teacher Behavior
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Orines, Richardson D.; Dy, Maria Theresa Q.; Huen, Kyla H.; Maligaya, Kyla Nicole B.; Pangan, Josella May G.; Paulino, Nathalie D. C.; Racimo, Kurt Mosi Y. – European Journal of Psychology and Educational Research, 2023
The responsibilities of emerging adulthood and academic pressure are some stressful situations encountered among graduating students. Those graduating students used different coping that deals with stressful situations that may affect their quality of life. This study, a predictive correlational design, was conducted on 202 Filipino graduating…
Descriptors: Foreign Countries, College Seniors, Graduation, Stress Variables
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Sharma, Bibhya; Nand, Ravneil; Naseem, Mohammed; Reddy, Emmenual V. – Studies in Higher Education, 2020
The widespread use of technology has facilitated many changes in the education sector including higher education. Academic institutes are concentrating their efforts on measuring the level of student engagement and participation in online learning environments for student success. This paper analyses student log data to quantify the effectiveness…
Descriptors: Blended Learning, Learning Analytics, Electronic Learning, Grades (Scholastic)
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Finch, W. Holmes; Finch, Maria E. Hernández; Avery, Brooke – Learning Disabilities Research & Practice, 2023
Progress monitoring using curriculum-based measures administered to a student at multiple points in time is common in educational settings. Recent research has demonstrated that common approaches to identifying individuals in need of special services, such as the trend line or median techniques, can be negatively impacted by the nonlinear change…
Descriptors: Progress Monitoring, Curriculum Based Assessment, Student Evaluation, Identification
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Sahu, Archana; Bhowmick, Plaban Kumar – IEEE Transactions on Learning Technologies, 2020
In this paper, we studied different automatic short answer grading (ASAG) systems to provide a comprehensive view of the feature spaces explored by previous works. While the performance reported in previous works have been encouraging, systematic study of the features is lacking. Apart from providing systematic feature space exploration, we also…
Descriptors: Automation, Grading, Test Format, Artificial Intelligence
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Costa-Mendes, Ricardo; Oliveira, Tiago; Castelli, Mauro; Cruz-Jesus, Frederico – Education and Information Technologies, 2021
This article uses an anonymous 2014-15 school year dataset from the Directorate-General for Statistics of Education and Science (DGEEC) of the Portuguese Ministry of Education as a means to carry out a predictive power comparison between the classic multilinear regression model and a chosen set of machine learning algorithms. A multilinear…
Descriptors: Foreign Countries, High School Students, Grades (Scholastic), Electronic Learning
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Junyent, Andrea; Fernández-Flecha, María – International Journal of School & Educational Psychology, 2022
This research analyzes data collected by the Young Lives project on childhood poverty. It addresses the effect of socio-demographic, individual, and linguistic variables -- focusing on the latter -- on reading comprehension in Spanish by 502 Peruvian Quechua-Spanish bilingual children aged 8 years. The regression model tested explained 46% of the…
Descriptors: Reading Comprehension, Spanish, American Indian Languages, Bilingual Students
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Cullinan, John; Flannery, Darragh; Palcic, Donal – Education Economics, 2022
There is increasing attention on study abroad programmes in higher education. However, there is little evidence on how participation might impact students' academic performance on return. Using administrative data from Ireland and a range of regression models and matching estimators, we find no independent association between study abroad and…
Descriptors: Study Abroad, Student Participation, Academic Achievement, Data Analysis
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Olivia Wohlfart; Moritz Mödinger; Ingo Wagner – European Physical Education Review, 2024
Teacher educators should serve as role models in terms of information and communication technologies (ICTs) use to promote digital literacy of future teachers. To analyze the association between role modeling by teacher educators and preservice teachers' digital literacy and ICT integration intention in their classrooms, 185 physical education…
Descriptors: Information Technology, Physical Education, Role Models, Digital Literacy
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Kalkbrenner, Michael T.; Lopez, Anna L.; Gibbs, Jessica R. – Journal of College Counseling, 2020
The aim of this study was to initially validate the REDFLAGS model, 8 cautionary warning signs of mental distress in college students. A test of internal consistency reliability and factor analysis supported the model's reliability and construct validity. Hierarchical logistic regression models endorsed the model's predictive validity; students'…
Descriptors: College Students, Counseling Services, Identification, Mental Health
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Najera, Hector – Measurement: Interdisciplinary Research and Perspectives, 2023
Measurement error affects the quality of population orderings of an index and, hence, increases the misclassification of the poor and the non-poor groups and affects statistical inferences from binary regression models. Hence, the conclusions about the extent, profile, and distribution of poverty are likely to be misleading. However, the size and…
Descriptors: Poverty, Error of Measurement, Classification, Statistical Inference
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Kuha, Jouni; Mills, Colin – Sociological Methods & Research, 2020
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…
Descriptors: Comparative Analysis, Regression (Statistics), Research Problems, Computation
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Pérez-Castilla, Alejandro; García-Ramos, Amador – Measurement in Physical Education and Exercise Science, 2021
An a-posteriori multicentre reliability study was conducted to compare the reliability and magnitude of the maximum power (P[subscript max]) and optimal velocity (V[subscript opt]) between the force-power-velocity relationships during the leg cycle-ergometer and bench press throw exercises. The force-power-velocity relationships were determined in…
Descriptors: Motion, Exercise, Measurement Techniques, Reliability
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Palacios Mena, Nancy; Ariza Bulla, John Fredy – Quality in Higher Education, 2023
This article studies the relationship between the socioeconomic conditions of higher education students in Colombia and their academic performance during the pandemic. The household's socioeconomic conditions are approximated by the education level of the parents, their occupation and the possession of assets. A multiple regression model tests the…
Descriptors: Socioeconomic Status, Academic Achievement, College Students, Foreign Countries
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Emad A. Alghamdi; Paul Gruba; Ahmed Masrai; Eduardo Velloso – Language Learning & Technology, 2023
Although measures of lexical complexity are well established for printed texts, there is currently no equivalent work for videos. This study, therefore, aims to investigate whether existing lexical complexity measures can be extended to predict second language (L2) learners' judgment of video difficulty. Using a corpus of 320 instructional videos,…
Descriptors: Difficulty Level, Interactive Video, Computer Assisted Instruction, Word Frequency
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