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Topal, Temel – Educational Research and Reviews, 2021
The aim of this study is to investigate the internet addiction levels of high school students using various variables. The research consists of a total of 962 students (452 girls and 410 boys) studying at different high schools in Giresun in the fall semester of the 2019 to 2020 academic year. The research data were obtained using the general…
Descriptors: High School Students, Internet, Addictive Behavior, Predictor Variables
Akan, Yunus; Tatik, Ramazan Samil – International Online Journal of Education and Teaching, 2021
The aim of this study was to reveal the relationship between the moral maturity and human values of university students. The study was a quantitative research and was conducted with the correlational survey model. The study group of the study consisted of 764 students selected by simple random sampling method, one of the random sampling methods…
Descriptors: Ethics, Maturity (Individuals), College Students, Values
Glazier, Rebecca A.; Hamann, Kerstin; Pollock, Philip H.; Wilson, Bruce M. – Teaching in Higher Education, 2021
Four-year institutions of higher education in the United States are experiencing two major trends: (1) a growing number of transfer students; and (2) students taking an increasing proportion of their courses online. Here, we look closely at the extent to which these two trends impact student success. Using the University of Central Florida as our…
Descriptors: Academic Achievement, College Transfer Students, Online Courses, Political Science
Simmons, Denise R.; Chau, Anh D. – Journal of STEM Education: Innovations and Research, 2021
Undergraduate student participation in out-of-class activities yields a range of documented benefits and represents an area of study that can inform efforts to increase persistence in science, technology, engineering or mathematics (STEM) majors, particularly for underrepresented groups. This study was designed to explore the impact of selected…
Descriptors: Predictor Variables, Student Participation, Disproportionate Representation, STEM Education
Lakshmi, Y. Vijaya; Jadeja, Minalba – Online Submission, 2021
The COVID-19 pandemic is redefining the practices of higher education in an unprecedented way. E-learning can guarantee the right to higher education during the pandemic to the students of higher education and hence its adoption in teaching learning is now inevitable. The readiness of higher education faculty members towards E-learning is explored…
Descriptors: COVID-19, Pandemics, Electronic Learning, Readiness
Esther C. Penzar; Munyi Shea; Cher N. Edwards – International Dialogues on Education, 2021
In the present study, the relationships among trait hope, academic self-efficacy, and academic achievement (self-reported GPA) were examined among college students. Demographic differences were analyzed based on college-going status, ethnicity, and gender. First-generation college-going students (FGCS) reported significantly lower levels of trait…
Descriptors: College Students, Academic Achievement, Psychological Patterns, Self Efficacy
Agnieszka Ewa Krautz – Journal of Multilingual and Multicultural Development, 2024
Feeling like a different person when speaking different languages has been investigated before and attributed to several linguistic as well as psychological factors. Language proficiency, the context of language acquisition, personality traits, emotional intelligence, and the topic of conversation as well as the interlocutor have been found to…
Descriptors: Cognitive Style, Second Language Learning, Personality Traits, Language Proficiency
Linda Larsen; Hanne Naess Hjetland; Stefan Kilian Schauber – Scandinavian Journal of Educational Research, 2024
Children's ability to correctly name letters is a key predictor of later reading abilities and skills, but research on letter naming from Scandinavian orthographies is scarce. The aim of this study is to explore how child- and letter-related factors (i.e., gender, child name, phonemic awareness, letter position in the alphabet and frequency, and…
Descriptors: Longitudinal Studies, Alphabets, Naming, Orthographic Symbols
Arlene Bjugstad; Jodi Berger Cardoso; Tzuan A. Chen; Kalina M. Brabeck; Sharon Borja – Psychology in the Schools, 2024
Using a multidimensional, integrative approach this study examined the influence of social position factors (nativity, economic hardship, and language) and environmental contexts (community trauma, geographic location, and discrimination) on three domains of school engagement (cognitive, behavioral, and relational) among a community sample of…
Descriptors: Social Influences, Environmental Influences, Learner Engagement, Predictor Variables
Ayelet Ben-Sasson; Joshua Guedalia; Keren Ilan; Meirav Shaham; Galit Shefer; Roe Cohen; Yuval Tamir; Lidia V. Gabis – Autism: The International Journal of Research and Practice, 2024
Early detection of autism spectrum condition is crucial for children to maximally benefit from early intervention. The study examined a machine learning model predicting the increased likelihood for autism from wellness records from 0 to 24 months. The study included 591,989 non-autistic and 12,846 autistic children. A gradient boosting model with…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Infants, Predictor Variables
Quisto Settle; John P. Schoeneman Jr.; Lauren Quinlan; Lauren Lewis Cline – Journal of Agricultural Education, 2024
Mentorship is a valuable component of the growth of junior faculty, but mentorship and the mentorship network in the broadly defined agricultural education discipline is not well understood. This study describes junior faculty mentees in the discipline and their mentors, as well as the mentorship interactions, including the social network of…
Descriptors: Mentors, Agriculture Teachers, Academic Rank (Professional), Agricultural Education
Bezyak, Jill; Moser, Erin; Chan, Fong; Iwanaga, Kanako – Rehabilitation Research, Policy, and Education, 2020
Purpose: The present study examined patterns of demographic characteristics that are predictive of people's automatic preference for people without disabilities over people with disabilities. Method: Predictions of automatic preference for people without disabilities were investigated among 41,789 individuals who volunteered to complete the…
Descriptors: Attitudes toward Disabilities, Preferences, Individual Characteristics, Predictor Variables
Metin Aslan, Özge – Early Child Development and Care, 2020
This research aims to examine the predictive effect of gender, culture, and shyness on reticence and solitary play behaviour. Fifty children at two U.S. nursery schools and 55 children at a Turkish nursery school were included in the study, with a total of 105 children aged 36-72 months (61 boys, 44 girls). Parent questionnaires were used to…
Descriptors: Shyness, Play, Child Behavior, Preschool Children
Higashi, Ross; Schunn, Christian D. – Journal of Educational Psychology, 2020
Digital badges have long been assumed to possess motivational qualities that could encourage learners to engage with learning content. However, prior studies have found the effects of badges to be complex, differing by learner, type of badge, and potentially other factors. Qualitative reports suggest that individuals' perceptions of digital badges…
Descriptors: Recognition (Achievement), Learner Engagement, Student Attitudes, Student Motivation
Quílez-Robres, Alberto; Moyano, Nieves; Cortés-Pascual, Alejandra – Education Sciences, 2021
Recent studies highlight the effect of cognitive factors on academic achievement, ignoring motivational, emotional, and social factors. This provides the background for the present study, a meta-analysis on the relationship between academic achievement and motivational factors (motivation, self-concept, and self-esteem), emotional factors…
Descriptors: Student Motivation, Psychological Patterns, Social Influences, Academic Achievement

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