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Torbey, Ryan; Martin, Nicole D.; Warner, Jayce R.; Fletcher, Carol L. – Texas Education Research Center, 2020
A complex web of factors can influence whether students participate in computer science (CS) during high school. In order to increase participation in CS for all students, there is a need to better understand who is currently participating and what factors might be hindering participation. This study utilized a large-scale, student-level dataset…
Descriptors: Algebra, High School Students, Computer Science Education, Student Participation
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Ko, Chia-Yin; Leu, Fang-Yie – IEEE Transactions on Education, 2021
Contribution: This study applies supervised and unsupervised machine learning (ML) techniques to discover which significant attributes that a successful learner often demonstrated in a computer course. Background: Students often experienced difficulties in learning an introduction to computers course. This research attempts to investigate how…
Descriptors: Undergraduate Students, Student Characteristics, Academic Achievement, Predictor Variables
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Alexopoulos, Y.; Pappa, E.; Perifanos, I.; Marchand, F.; Cooreman, H.; Debruyne, L.; Chiswell, H.; Ingram, J.; Koutsouris, A. – Journal of Agricultural Education and Extension, 2021
Purpose: The paper focuses on exploring the influence of structural and functional characteristics of demonstrations on their effectiveness. Design/Methodology: In the framework of AgriDemo-F2F project, we analysed the responses to 345 post-demonstration questionnaires filled out by the attendees of 31 demo events held in 12 EU countries. Factor…
Descriptors: Agricultural Education, Instructional Effectiveness, Demonstrations (Educational), Relevance (Education)
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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
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Gilson, Carly B.; Carter, Erik W.; Bumble, Jennifer L.; McMillan, Elise D. – Research and Practice for Persons with Severe Disabilities, 2018
Families are essential partners in efforts to elevate the employment outcomes of adults with intellectual and developmental disabilities (IDD). We examined the employment-related expectations, preferences, and concerns of 673 parents and other family members of adults with IDD. Participants prioritized paid integrated employment over sheltered…
Descriptors: Family Attitudes, Adults, Employment, Intellectual Disability
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Saidi, Siti Shahirah; Siew, Nyet Moi – Statistics Education Research Journal, 2022
Assessment on statistical reasoning is an area of academic interest in statistics education research in tandem with attitudes and anxiety towards statistics, since many studies report students are likely to encounter problems with statistics due to these two non-cognitive factors. In this study, 320 Tenth Grade science stream students from Sabah,…
Descriptors: Secondary School Students, Student Attitudes, Anxiety, Statistics Education
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Vaziri, Stacey; Vaziri, Baback; Novoa, Luis J.; Torabi, Elham – INFORMS Transactions on Education, 2022
The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically,…
Descriptors: Student Motivation, Introductory Courses, Business Administration Education, Data Analysis
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Pitsia, Vasiliki – Large-scale Assessments in Education, 2022
In Ireland, while, on average, students have performed well on national and international assessments of mathematics and science, the low proportions of high achievers in these subjects are noteworthy. Given these patterns and the multifaceted benefits in individual and societal terms that expertise in mathematics and science has been associated…
Descriptors: High Achievement, Mathematics Achievement, Science Achievement, Secondary School Students
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Van Appel, Vaughan; Durandt, Rina – Perspectives in Education, 2019
This article reports on the results of an investigation of the predictive accuracy of five different mathematical models to identify at-risk students in a Business Statistics course. Low levels of students' success, especially in mathematics-related subjects such as statistics, are a salient problem in South Africa and other countries. Statistical…
Descriptors: Foreign Countries, Mathematical Models, Prediction, At Risk Students
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Lindsay, Keston G. – International Journal of Research in Education and Science, 2021
Statistics education is an important component of allied health education. Although success in statistics courses has been reported for students in fields such as business, nursing and psychology, there is a dearth of literature in students of other allied health science disciplines. As statistics is a gatekeeper course for many of these…
Descriptors: Predictor Variables, Mathematics Achievement, Statistics Education, Allied Health Occupations Education
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Ng, Wing-Si; Wong, Terry Tin-Yau; Fong, Cathy Yui-Chi – Journal of Cognition and Development, 2021
Learning to solve arithmetic word problems is an essential part of the primary school mathematics curriculum. The success of word-problem solving was previously found to relate to reading comprehension ability of children. However, the relationships between specific reading comprehension component skills and word-problem solving remain largely…
Descriptors: Reading Comprehension, Word Problems (Mathematics), Arithmetic, Problem Solving
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Koyuncu, Ilhan – Journal of Curriculum and Teaching, 2020
This study aimed to examine the importance levels of mathematics-specific trend variables in PISA (Programme for International Student Assessment) 2003 and 2012 in predicting mathematics performance across years with a two-step analysis method. The sample of the study was 9703 Turkish students (N[subscript 2003]=4855 and N[subscript 2012]=4848)…
Descriptors: International Assessment, Foreign Countries, Secondary School Students, Achievement Tests
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Allen, Summer; Marquart-Pyatt, Sandra T. – International Journal of Sustainability in Higher Education, 2018
Purpose: This research contributes to the literature on workplace energy conservation by examining the predictors of individual employee behaviors and policy support in a university. The purpose of this research is to better understand what factors influence energy conservation behaviors in this setting to inform programs and interventions.…
Descriptors: Work Environment, Energy Conservation, Universities, Self Efficacy
Ong, Adrian; Circelli, Michelle – National Centre for Vocational Education Research (NCVER), 2018
People participate in vocational education and training (VET) for a variety of reasons and at different stages of their life. Some undertake VET to gain the vocational skills necessary to enter the labour market for the first time, while others enter in order to upgrade existing skills, learn new ones, or simply for personal interest. Successful…
Descriptors: Qualifications, Vocational Education, Graduation Rate, Performance Factors
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Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
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