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Sharron Xuanren Wang; Jarid Goodman – Journal of American College Health, 2024
Objective: This study investigated rates and predictors of mental health issues (e.g., depression and anxiety) in a sample of college students currently attending a historically Black college/university (HBCU) during the COVID-19 pandemic. Participants/Methods: 98 undergraduate students (81 female and 17 male) completed an online survey containing…
Descriptors: Mental Health, Black Colleges, COVID-19, Pandemics
Dan Goldhaber; Nick Huntington-Klein; Nate Brown; Scott Imberman; Katharine O. Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
The COVID-19 pandemic forced widespread school closures and a shift to remote learning. A growing body of research has examined the effects of remote learning on student outcomes. But the accuracy of the school modality measures used in these studies is questionable. The most common measures--based on self-reports or district website…
Descriptors: Handheld Devices, Telecommunications, COVID-19, Pandemics
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Center for Learner Equity, 2024
Collected Biannually since 1968, the Civil Rights Data Collection (CRDC) represents the U.S. Department of Education's most substantial effort to understand data related to students' educational opportunities throughout K-12 schooling, particularly for historically marginalized student populations. Due to the COVID-19 pandemic, the Department…
Descriptors: Students with Disabilities, Elementary Secondary Education, Public Schools, Charter Schools
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Jill M. Aldridge; Felicity McLure – Learning Environments Research, 2024
Hope for the future provides a protective factor against mental health disorders and contributes to students' academic success and wellbeing. We investigated whether a school's climate influenced students' prosocial moral identity and hope for the future to understand better how church-based schools might improve these important outcomes. Data…
Descriptors: Educational Environment, Religious Schools, Churches, Moral Development
Timothy M. Smith – ProQuest LLC, 2024
Many teachers have become dissatisfied with their jobs, leaving their school district or the field of education to purse other careers outside of education. Recently, teacher attrition has been a problem for schools in Tennessee. The shortage of teachers in Tennessee led to the elimination of the Teacher Performance Assessment by the Tennessee…
Descriptors: Leadership Styles, Teacher Attitudes, Principals, Teaching Experience
Bonita Cooper Green – ProQuest LLC, 2024
The purpose of this quantitative predictive correlation research is to determine if and to what extent perceived principal leadership styles predict teacher job satisfaction for K-12 educators in an education association in a northeastern rural school district in North Carolina. Herzberg's Motivation-Hygiene and Maslow's Hierarchy of Needs…
Descriptors: Principals, Elementary Secondary Education, Leadership Styles, Teachers
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Maria Wahid; Nadia Ayub – Tuning Journal for Higher Education, 2024
The current study aimed to determine the predictive role of Psychological Capital (PsyCap) and Perceived Organizational Support (POS) on Innovative Work Behavior (IWB) among higher education teachers of Pakistan. A sample of 200 higher education teachers was recruited from various private and public sector institutes across Pakistan. The analysis…
Descriptors: Foreign Countries, Mental Health, College Faculty, Correlation
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Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
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Omar Abu-Ghalyoun; Adnan Al-Abed – Teaching Statistics: An International Journal for Teachers, 2024
This study investigates a range of non-normative ideas that pre-service teachers (PSTs) employ in reasoning about sampling variability. This issue was studied in the context of a content course on statistics and probability for pre-service middle grade teachers at a Midwestern American university. Analysis of seven PSTs' video and screen records…
Descriptors: Preservice Teachers, Middle School Teachers, Teacher Characteristics, Knowledge Level
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Milvia Cottini; Paola Palladino; Demis Basso – British Journal of Educational Psychology, 2024
Background: Laboratory-based studies have shown that children's ability to remember intentions (i.e., prospective memory; PM) can be improved by asking them to imagine performing the PM task beforehand (i.e., episodic future thinking; EFT) or to predict their PM performance. Moreover, combining the two strategies resulted in an additional…
Descriptors: Young Children, Memory, Cognitive Processes, Recall (Psychology)
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Ioannis Katsantonis; Ryan Alberto Gibbons; Jennifer E. Symonds; Niall Costello – British Educational Research Journal, 2024
There are few longitudinal studies of adolescent students' choice to persist in post-compulsory education. Hence, the present study introduces a longitudinal model that describes the interplay between sociological and psychological explanations of adolescents' choice to persist in post-compulsory education in the UK. Data on parental education,…
Descriptors: Adolescents, Compulsory Education, Academic Persistence, Educational Attainment
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Gonzalo Martinez-Munoz; Miguel Angel Alvarez-Rodriguez; Estrella Pulido-Canabate – IEEE Transactions on Education, 2024
In this article, student video visualization profiles are analyzed with two objectives: 1) to identify difficult sections in videos and 2) to predict student performance based on their video visualization profiles. For identifying critical sections in videos two novel indicators are proposed. The first one is designed to measure the complexity of…
Descriptors: Video Technology, Visualization, Electronic Learning, Profiles
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Seda Göktepe Körpeoglu; Sevda Göktepe Yildiz – International Journal of Science Education, 2024
Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…
Descriptors: Foreign Countries, Middle School Students, STEM Education, Student Attitudes
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Kathy T. Do; Eva H. Telzer – Developmental Psychology, 2024
This preregistered, longitudinal study examined how much adolescents value and integrate their parents' and peers' attitudes into their own attitudes from early to middle adolescence. Across three waves, participants (N = 172, 91 female, 11-16 years across three waves; 439 data points) decided whether to pay money to learn their parents' or peers'…
Descriptors: Adolescents, Parent Attitudes, Age Differences, Behavior Problems
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Kimberly L. Henry; Linda R. Stanley; Randall C. Swaim – Prevention Science, 2024
Reservation-dwelling American Indian adolescents are at exceedingly high risk for cannabis use. Prevention initiatives to delay the onset and escalation of use are needed. The risk and promotive factors approach to substance use prevention is a well-established framework for identifying the timing and targets for prevention initiatives. This study…
Descriptors: Risk, Marijuana, Drug Use, American Indians
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