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Ozmen, Zeynep Medine; Guven, Bulent – International Journal of Mathematical Education in Science and Technology, 2019
Introductory statistics courses, which are important in preparing students for their daily lives, generally derive inferential statistics from informal knowledge. In this transition process, sampling distributions have an important place, yet research has shown that students often have difficulties with this concept. In order to increase their…
Descriptors: Student Attitudes, Sampling, Undergraduate Students, Correlation
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Roessger, Kevin M.; Eisentrout, Kjirsten; Hevel, Michael S. – Community College Journal of Research and Practice, 2019
Informed by self-directed learning theory, we explored the relationship between community college students' ages and their use of academic advising. Although academic advising has been shown to be an important part of student success, few studies have explored academic advising at community colleges and among adult learners. We performed…
Descriptors: Academic Advising, Age Differences, Two Year College Students, Correlation
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Kalb, Luther G.; Stuart, Elizabeth A.; Vasa, Roma A. – Autism: The International Journal of Research and Practice, 2019
This study examined differences in the rates of psychiatric-related emergency department visits among adolescents with autism spectrum disorder, adolescents with attention deficit hyperactivity disorder, and adolescents without autism spectrum disorder or attention deficit hyperactivity disorder. Additional outcomes included emergency department…
Descriptors: Hospitals, Mental Disorders, Autism, Pervasive Developmental Disorders
Mongkhonvanit, Kritphong; Kanopka, Klint; Lang, David – Grantee Submission, 2019
MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…
Descriptors: Online Courses, Large Group Instruction, Knowledge Level, Learner Engagement
Lin, Yuxin; Liu, Vivian Yuen Ting – Community College Research Center, Teachers College, Columbia University, 2019
Over one in three students who started college in 2012 did not enroll in the fall immediately following their high school graduation. Despite the prevalence of delayed college enrollment, however, little is known about its consequences for labor market outcomes. Using data from the National Longitudinal Survey of Youth 1997, this paper examines…
Descriptors: Enrollment, College Attendance, Time, Labor Market
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Banjade, Rajendra; Rus, Vasile – International Educational Data Mining Society, 2019
Automatic answer assessment systems typically apply semantic similarity methods where student responses are compared with some reference answers in order to access their correctness. But student responses in dialogue based tutoring systems are often grammatically and semantically incomplete and additional information (e.g., dialogue history) is…
Descriptors: Dialogs (Language), Probability, Intelligent Tutoring Systems, Semantics
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Lappalainen, Pia – European Journal of Engineering Education, 2020
The social dynamics interfering with engineering design expose engineers to workplace conflicts, undermining well-being and productivity. This strengthens the case for engineering management competences, and conflict management in particular. This conceptual study deepens understanding of industrial leadership by integrating prior knowledge of…
Descriptors: Engineering Education, Management Development, Prevention, Conflict
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Zane, Len – Honors in Practice, 2020
Many of the numbers used to assess students are statistical in nature. The theoretical context underlying the production of a typical number or statistic used in student assessment is presented. The author urges readers to recognize objective data as subjective information and to carefully consider the numbers that often determine admission,…
Descriptors: Student Evaluation, Statistical Analysis, Honors Curriculum, Admission Criteria
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Forster, Myriam; Gower, Amy L.; Gloppen, Kari; Sieving, Renee; Oliphant, Jennifer; Plowman, Shari; Gadea, Abigail; McMorris, Barbara J. – School Mental Health, 2020
Few studies have examined whether dimensions of school engagement are differentially associated with bullying victimization and perpetration, behaviors that undermine the capacity to achieve academically and increase risk for depression and school dropout. We investigated associations between affective, cognitive, and behavioral engagement upon…
Descriptors: Middle School Students, Bullying, Victims, Affective Behavior
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Coleman-Minahan, Kate; Gutierrez, Yurico; Bull, Sheana – Youth & Society, 2020
Adult and community support may protect against sexual experience among immigrant youth, but it remains unknown whether this support confers protection equally across immigrant generations. Drawing on data from 852 race/ethnically diverse low-income youth recruited from Boys & Girls Clubs, we used mixed effect logistic regression models to…
Descriptors: Immigrants, Sexuality, Generational Differences, Youth
Altmejd, Adam; Barrios-Fernández, Andrés; Drlje, Marin; Goodman, Joshua; Hurwitz, Michael; Kovac, Dejan; Mulhern, Christine; Neilson, Christopher; Smith, Jonathan – Centre for Economic Performance, 2020
Family and social networks are widely believed to influence important life decisions but identifying their causal effects is notoriously difficult. Using admissions thresholds that directly affect older but not younger siblings' college options, we present evidence from the United States, Chile, Sweden and Croatia that older siblings' college and…
Descriptors: Foreign Countries, Siblings, Family Influence, College Choice
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Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
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Zhang, Chan; Lepkowski, James M.; He, Lirui – Field Methods, 2018
While mail surveys are common in many developed countries, it is still a new method in other, often less-developed countries. This study explores the feasibility of mail surveys in urban China. We conducted an experiment manipulating delivery method (regular mail vs. courier delivery service) and incentive payment (prepaid vs. no incentive) using…
Descriptors: Foreign Countries, Mail Surveys, Feasibility Studies, Urban Areas
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Lung, For-Wey; Chiang, Tung-Liang; Lin, Shio-Jean; Lee, Meng-Chih; Shu, Bih-Ching – Autism: The International Journal of Research and Practice, 2018
The use of assisted reproduction technology has increased over the last two decades. Autism spectrum disorders and assisted reproduction technology share many risk factors. However, previous studies on the association between autism spectrum disorders and assisted reproduction technology have shown inconsistent results. The purpose of this study…
Descriptors: Foreign Countries, Autism, Pervasive Developmental Disorders, Pregnancy
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Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
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