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Natalia Acevedo Aylett – ProQuest LLC, 2023
With the quick rise of social media's popularity among the young, colleges and universities have found ways to use social media to recruit prospective students, engage current students, and connect with former ones. The purpose of this study was to investigate the role of social media use for varied purposes among a student population often…
Descriptors: Foreign Students, Immigrants, Social Media, Academic Achievement
Jumoke I. Oladele – Online Submission, 2023
The aim of the study was to examine self-motivation and study ethics as predictors of academic achievement among undergraduates in a Nigerian University. The study employed the correlation research design in the quantitative approach. Purposive sampling technique was used to draw a sample of 320 students out of which 228 students consented and…
Descriptors: Self Motivation, Undergraduate Students, Computer Software, Study Habits
Vincent Okot – ProQuest LLC, 2023
This descriptive correlational study examined the predictive relationships between ACT composite scores, high school GPA, ACT testing attempts, and gender with teacher candidate's overall performance on the edTPA and each of the three edTPA instructional tasks (Task 1, Task 2, and Task 3). The edTPA is a portfolio-based subject-specific teaching…
Descriptors: College Entrance Examinations, Performance Based Assessment, Preservice Teachers, Student Teachers
Sarah Staveteig Ford; Matthew Kirwin – International Journal of Social Research Methodology, 2023
International survey researchers are increasingly turning to a geospatial sampling approach known as gridded population sampling for finer resolution and a more updated sampling frame than conventional census-based sampling. To date, there have been no direct comparisons of accuracy between survey results derived from the two methods. This…
Descriptors: Accuracy, Sampling, Elections, Census Figures
Yun Tang; Zhengfan Li; Guoyi Wang; Xiangen Hu – Interactive Learning Environments, 2023
To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…
Descriptors: Electronic Learning, Learning Activities, Self Management, Intelligent Tutoring Systems
Jason C. Chow; Jennifer R. Ledford; Sienna Windsor; Paige Bennett – Exceptional Children, 2023
The purpose of this study is to present a set of empirically derived effect size distributions in order to provide field-based benchmarks for assessing the relative effects of interventions aimed at reducing challenging behavior or increasing engagement for young children with and without disabilities. We synthesized 192 single-case designs that…
Descriptors: Behavior Problems, Intervention, Prediction, Learner Engagement
Han Du; Brian Keller; Egamaria Alacam; Craig Enders – Grantee Submission, 2023
In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion (DIC) and Watanabe-Akaike Information Criterion (WAIC). A multilevel mediation model is used as an illustrative example to compare different types of DIC and WAIC. More specifically, the study compares the…
Descriptors: Bayesian Statistics, Models, Comparative Analysis, Probability
Matthew Jannetti; Amy Carroll-Scott; Erikka Gilliam; Irene Headen; Maggie Beverly; Félice Lê-Scherban – Field Methods, 2023
Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…
Descriptors: Sampling, Probability, Definitions, Prediction
Michelle Conrad; Michael Pantleo; Krystle Gremaud; Shelby Cobb – Career and Technical Education Research, 2023
This quantitative study was conducted to determine if a relationship exists between former Missouri Career and Technical Education (CTE) concentrators' Technical Skills Assessment (TSA) performance and attaining related placement after high school, specifically analyzing for differences among racial/ethnic and socioeconomic status (SES) groups.…
Descriptors: Race, Ethnicity, Socioeconomic Status, Vocational Education
Bee Leng Chua – Interdisciplinary Journal of Problem-based Learning, 2023
Path analysis is used to provide estimates of the magnitude and significance of hypothesized causal connections among sets of variables displayed using path diagrams. It is an extension of multiple regression analysis and holds strength as a methodology as it allows researchers to assess both direct and indirect effects of multiple independent…
Descriptors: Prediction, Problem Based Learning, Preservice Teachers, Learning Strategies
Seyma N. Yildirim-Erbasli; Okan Bulut – Journal of Applied Testing Technology, 2023
The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…
Descriptors: Computer Assisted Testing, Formative Evaluation, Prediction, Models
Ke-Hai Yuan; Yongfei Fang – Grantee Submission, 2023
Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and…
Descriptors: Structural Equation Models, Regression (Statistics), Weighted Scores, Comparative Analysis
Asli Akdeniz Kudubes; Yagmur Sezer Efe – Psychology in the Schools, 2024
This study was conducted as a descriptive and cross-sectional study to examine the effects of game addiction and social media addiction on the lifestyle of Turkish adolescents. The study was conducted between May to June 2022, involved 1116 adolescents in the 13-18 age group receiving education in three high schools situated in the Western region…
Descriptors: Social Media, Addictive Behavior, Telecommunications, Handheld Devices
Muhammet Ibrahim Akyürek – Education 3-13, 2024
The aim of the study is to determine the level of relationship between school climate and happiness according to student perceptions. This research is in the descriptive relational survey model. The sample of the study consists of a total of 539 students studying in public primary schools in the districts located in Ankara, the capital city of…
Descriptors: Foreign Countries, Educational Environment, Psychological Patterns, Student Attitudes
Noura Zeroual; Mahnane Lamia; Mohamed Hafidi – Education and Information Technologies, 2024
Traditional education systems do not provide students with much freedom to choose the right training of study that suits them, which leads on long-term to the negative effects not only on social, economic and mental' well-being of student, but also will have a negative effect on the quality of the work produced by this student in the future. In…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Computer Science Education

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