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Ehab Gouda Tolba – International Journal of Technology in Education, 2025
This study aimed to identify the levels of computational thinking skills, computational self-efficacy, and academic well-being among students, identify the potential relationships among them, and determine the predictive effects of computational thinking skills and computational self-efficacy on academic wellbeing. The study used the following…
Descriptors: Computation, Thinking Skills, Self Efficacy, Predictor Variables
Haozhe Jiang; A. Y. M. Atiquil Islam; Xiaoqing Gu; Jia Guan – Journal of Research in Science Teaching, 2024
Computational thinking (CT) is vital for success in numerous domains. However, the nature, definition, and scope of CT are ill-defined, and research on how best to develop CT is very limited. This study focused on how thinking styles and STEM attitudes have effects on computational thinking. Using a proportionate stratified random sampling…
Descriptors: Cognitive Style, Scientific Attitudes, STEM Education, Computation
Kenneth Tyler Wilcox; Ross Jacobucci; Zhiyong Zhang; Brooke A. Ammerman – Grantee Submission, 2023
Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…
Descriptors: Bayesian Statistics, Content Analysis, Undergraduate Students, Self Destructive Behavior
Jin, Hao-Yue; Cutumisu, Maria – Education and Information Technologies, 2023
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed results in previous studies. Thus, it is necessary to identify patterns in the relationships between predictors of CT and CT skills to further support CT development. This study developed an online CT…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Predictor Variables
Muchsini, Binti; Siswandari; Gunarhadi; Wiranto – Pegem Journal of Education and Instruction, 2022
This study aims to investigate the behavioural dimensions that influence college students' intention to implement computational thinking in compiling financial statements using spreadsheets. This study used a non-experimental type of quantitative research with a cross-sectional research design. The sample of this study was 148 college students who…
Descriptors: College Students, Intention, Computation, Thinking Skills
Cyrenne, Philippe; Chan, Alan – Canadian Journal of Higher Education, 2022
The ability of universities and colleges to predict the success of admitted students continues to be a key concern of higher education officials. Apart from a desire to see students have successful academic careers, there is also the fiscal reality of greater tuition revenues providing needed support for university budgets. Using administrative…
Descriptors: College Students, Academic Achievement, Predictor Variables, Statistical Analysis
Cutumisu, Maria; Adams, Catherine; Glanfield, Florence; Yuen, Connie; Lu, Chang – IEEE Transactions on Education, 2022
The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The…
Descriptors: Structural Equation Models, Preservice Teachers, Thinking Skills, Computation
Taylor, Z. W.; Alsmadi, Izzat – Journal of Interdisciplinary Studies in Education, 2020
In an era of billions of dollars in outstanding student loan debt, researchers have posited that the U.S. News & World Report rankings continue to be an influential source of information for prospective students, yet these rankings do not include college affordability metrics in their ranking algorithm. As a result, this study performed a…
Descriptors: Paying for College, Universities, Institutional Characteristics, Achievement Rating
Dogan, Yakup; Pektas, Murat – International Electronic Journal of Environmental Education, 2019
The purpose of this study is to calculate and evaluate the ecological footprints of the academicians in terms of various variables. The survey method was used in the study. Data were collected from academicians (149 males, 57 female) working at a state university in the South-eastern Anatolia of Turkey during the 2017-2018 academic year. The…
Descriptors: College Faculty, Teacher Behavior, Conservation (Environment), Public Colleges
Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
McLean, Tamika Ann – ProQuest LLC, 2017
The current study investigated college students' content knowledge and cognitive abilities as factors associated with their algebra performance, and examined how combinations of content knowledge and cognitive abilities related to their algebra performance. Specifically, the investigation examined the content knowledge factors of computational…
Descriptors: College Students, Knowledge Level, College Mathematics, Mathematics Skills
Goldhaber, Dan; Long, Mark C.; Person, Ann E.; Rooklyn, Jordan – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2017
We investigate factors influencing student sign-ups for Washington State's College Bound Scholarship (CBS) program. We find a substantial share of eligible middle school students fail to sign the CBS, forgoing college financial aid. Student characteristics associated with signing the scholarship parallel characteristics of low-income students who…
Descriptors: Predictor Variables, Middle School Students, College Preparation, Mixed Methods Research
Miller, Jason W.; Stromeyer, William R.; Schwieterman, Matthew A. – Multivariate Behavioral Research, 2013
The past decade has witnessed renewed interest in the use of the Johnson-Neyman (J-N) technique for calculating the regions of significance for the simple slope of a focal predictor on an outcome variable across the range of a second, continuous independent variable. Although tools have been developed to apply this technique to probe 2- and 3-way…
Descriptors: Social Sciences, Regression (Statistics), Predictor Variables, Hierarchical Linear Modeling
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
McCoach, D. Betsy; Black, Anne C. – New Directions for Institutional Research, 2012
This article is designed to give the reader a conceptual, nontechnical overview of estimation and model fit issues in multilevel modeling (MLM). The process of MLM generally involves fitting a series of multilevel models that increase in complexity. When conducting multilevel analyses, it is important to balance the need for complexity and the…
Descriptors: Institutional Research, Statistical Analysis, Models, Computation