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Marder, Ben; Houghton, David; Erz, Antonia; Harris, Lloyd; Javornik, Ana – Studies in Higher Education, 2020
Emoticon usage in computer-mediated communication (CMC) by university staff is potentially a double-edged sword in forming desired impressions in the minds of students, increasing perceived warmth but also decreasing perceived competence of the sender. Existing studies in higher education have provided little understanding of this trade-off. No…
Descriptors: Computer Mediated Communication, Visual Aids, Student Behavior, Interpersonal Communication
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Lopes, João; Oliveira, Célia – School Effectiveness and School Improvement, 2020
Teacher job satisfaction is an essential factor for teachers' and school effectiveness and students' academic and educational achievement. The present research aims to identify variables that contribute to job satisfaction in a Portuguese sample of lower secondary education teachers, using data from the Teaching and Learning International Survey…
Descriptors: Predictor Variables, Job Satisfaction, Hierarchical Linear Modeling, Foreign Countries
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Eccius-Wellman, Cristina; Santana, Josefina C. – MEXTESOL Journal, 2020
Proficiency in a second language depends on different factors; some of these are individual, while others depend more on the social context where the learning takes place. This article describes a study that examined variables that can lead to proficiency in English as a second language. The study was carried out among first semester university…
Descriptors: Language Proficiency, Predictor Variables, High School Students, Private Schools
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Itasanmi, Sunday Abidemi; Oni, Mathew Taiwo – Pakistan Journal of Distance and Online Learning, 2020
This study focuses on examining the relationship, and contribution of teaching and learning experiences, educational resources, technical support service, and infrastructure to the determination of learners' satisfaction in Open Distance Learning programmes in Nigeria. The study is guided with four research questions, and a descriptive research…
Descriptors: Student Satisfaction, Student Characteristics, Learning Experience, Predictor Variables
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Vong, Keang Ieng Peggy; Mak, Chi Kuan Miranda; Leung, Shing On; Chang, Shih-Hui – Creativity Research Journal, 2020
This study investigated the relationship among gender, sibling constellation, age, and young children's creativity performance in the Fluency, Imagination, Originality dimensions of creativity, as well as the developmental trajectory of their creativity performance. In total, 493 young children took the Torrance's Thinking Creatively in Action and…
Descriptors: Age Differences, Predictor Variables, Young Children, Performance Factors
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Zhang, Charlene; Kuncel, Nathan R. – Educational Measurement: Issues and Practice, 2020
Measures of biographical data, or biodata, provide indicators of one's life history and past experiences. Biodata information is often available in various forms during processes of academic admissions to higher education. Such information can be used, in combination with other factors, to predict students' future academic and extra-curricular…
Descriptors: Meta Analysis, Biographical Inventories, Scores, Predictor Variables
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Susperreguy, María Inés; Di Lonardo Burr, Sabrina; Xu, Chang; Douglas, Heather; LeFevre, Jo-Anne – Child Development, 2020
This study investigated the longitudinal associations between children's early mathematics and their home numeracy environment (HNE). Chilean children from families who varied widely in socioeconomic status were assessed at the beginning and end of prekindergarten in 2016 (N = 419, M[subscript age] = 4:7 [years:months]), and at the end of…
Descriptors: Kindergarten, Young Children, Family Environment, Numeracy
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Ilgaz, Hale; Gülbahar, Yasemin – Open Praxis, 2020
Over the past several years, online learning has become an extremely popular research topic. Nevertheless, there continues to be a need for a holistic approach when examining online learning. To examine issues related to online learning as well as the effects caused to online learners; researchers in this study developed and tested a model that…
Descriptors: Electronic Learning, Preferences, Learning Readiness, Distance Education
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Lee, Meggan J.; Collins, Jasmine D.; Harwood, Stacy Anne; Mendenhall, Ruby; Huntt, Margaret Browne – International Journal of STEM Education, 2020
Background: Race and gender disparities remain a challenge in science, technology, engineering, and mathematics (STEM) education. We introduce campus racial climate as a framework for conceptualizing the role of racial microaggressions (RMAs) as a contributing factor to the lack of representation of domestic students of color in STEM programs on…
Descriptors: Racial Bias, Aggression, STEM Education, College Environment
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Callaman, Roar Abalos; Itaas, Estela Corro – Journal of Research and Advances in Mathematics Education, 2020
Over the years, there have been several studies exploring the factors affecting mathematics achievement. However, no study, specifically in the Mindanao context has attempted to summarize or illustrate the model for these sets of studies. This study aims to analyze the overall effect size of the factors on the student's achievement in mathematics.…
Descriptors: Mathematics Achievement, Predictor Variables, Mathematics Skills, Student Attitudes
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Lin, Yi-Yin – Australian Journal of Adult Learning, 2020
Previous research has made it clear that older learners are mainly learning for learning's sake. However, few studies have explored the intrinsic aspects of older learners' motivation in detail; also, the factors that influence their learning motivation remain under-researched and under-theorised. To address this gap, this survey-based…
Descriptors: Learning Motivation, Older Adults, Adult Students, Predictor Variables
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Shang, Lili; Zuo, Meiyun – Educational Gerontology, 2020
Abundant health knowledge resources are available on social media to facilitate technology-enhanced knowledge learning among older adults. The objective of this study is to investigate the predictors and the underlying formation mechanism of older adults' intention to learn health knowledge on social media. We propose a novel model to examine how…
Descriptors: Older Adults, Intention, Health Education, Social Media
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Francis, Leslie J.; Village, Andrew – British Journal of Religious Education, 2020
This study employs multi-level linear statistical modelling to examine the power of school-level and individual-level factors to predict individual differences in scores recorded on the Francis Scale of Attitude toward Christianity by 6,036 students (who self-identified as either Christian or no religion) in year-seven, year-eight, year-nine,…
Descriptors: Foreign Countries, Individual Differences, Predictor Variables, Religion
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Kingery, Julie Newman; Bodenlos, Jamie S.; Lathrop, Jessica A. – Journal of American College Health, 2020
Objective: This study examined the relative contribution of five dispositional mindfulness (DM) facets and two aspects of social support along with sex in predicting psychological adjustment. Participants: Three hundred fifty-three undergraduates (72% female; M = 18.82 years) participated with data collected from September 2014 through March 2016.…
Descriptors: Metacognition, Social Support Groups, Predictor Variables, Undergraduate Students
Chen, Xinjie; Fan, Xitao; Wu, Joseph; Cheung, Hoi Yan – Gifted Child Quarterly, 2020
From the perspective of positive psychology, this study examined the variables in four domains of personal resources under the broaden-and-build theory concerning their relationships with suicidal cognition among academically gifted students. A total of 386 academically gifted secondary school students in China participated in the study. First,…
Descriptors: Suicide, Academically Gifted, Foreign Countries, Cultural Context
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