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Frischemeier, Daniel; Leavy, Aisling – Teaching Statistics: An International Journal for Teachers, 2020
Posing statistical questions is a fundamental and often overlooked component of statistical inquiry. In this paper, we provide an overview of shared understandings regarding what constitutes a good statistical question. We then describe three approaches--a checklist for improving statistical questions, a three-phase feedback activity, and a…
Descriptors: Statistics, Teaching Methods, Questioning Techniques, Check Lists
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Seide, Svenja E.; Jensen, Katrin; Kieser, Meinhard – Research Synthesis Methods, 2020
The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under between-trial heterogeneity and including multi-arm…
Descriptors: Bayesian Statistics, Meta Analysis, Data Analysis, Networks
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Taylor, Z. W. – Strategic Enrollment Management Quarterly, 2020
This study sought to understand the relationship between undergraduate yield and an institution's internet presence. Data were collected from 2018 "U.S. News & World Report" national university rankings, the Integrated Postsecondary Education Database (IPEDS), and summer 2018 (June-August) SEMrush data, a web metrics database housing…
Descriptors: Higher Education, College Bound Students, Student Motivation, Search Engines
Kane, Maggie; King, Carlise – Early Childhood Data Collaborative, 2020
While home visiting services are an important component of the early childhood (EC) landscape, few states include home visiting data in their early childhood integrated data systems (ECIDS). An ECIDS links together data from different early care and education programs to generate data used to support program and policy decisions. One reason for…
Descriptors: Home Visits, Early Intervention, Young Children, Data Collection
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Yu, Renzhe; Li, Qiujie; Fischer, Christian; Doroudi, Shayan; Xu, Di – International Educational Data Mining Society, 2020
In higher education, predictive analytics can provide actionable insights to diverse stakeholders such as administrators, instructors, and students. Separate feature sets are typically used for different prediction tasks, e.g., student activity logs for predicting in-course performance and registrar data for predicting long-term college success.…
Descriptors: Prediction, Accuracy, College Students, Success
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Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
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Kaiser, Justin T.; Herzberg, Tina S. – Journal of Visual Impairment & Blindness, 2021
Introduction: This study analyzed 39 data collection tools used by teachers of students with visual impairments when completing functional vision assessments (FVAs). Methods: In 2017, teachers of students with visual impairments submitted data collection tools used in the FVA process. These tools were then compared with the 23 FVA components…
Descriptors: Data Collection, Vision Tests, Visual Impairments, Visual Acuity
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Dahlawi, Saad; El Sharkawy, Mahmoud F. – International Journal of Sustainability in Higher Education, 2021
Purpose: Municipal solid waste (MSW) consists mainly of several recyclable materials such as paper and cardboard. Inside the educational institutes, especially universities, MSW is generated from several facilities including offices and cafeterias. Without an effective management program, solid waste can have detrimental impacts on the…
Descriptors: Universities, Municipalities, Sanitation, Recycling
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Kennedy-Clark, Shannon; Galstaun, Vilma; Reimann, Peter – Teachers and Teaching: Theory and Practice, 2021
In this paper, we put forward the OTTO Model as a means for developing data literacy in pre-service teacher education. The OTTO Model was developed using a combination of quantitative and qualitative data drawn from a three-year study investigating the nature and development of pre-service teachers' data literacy. The aim of the study was to…
Descriptors: Preservice Teachers, Teacher Effectiveness, Teacher Evaluation, Models
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Montoya, Amanda K.; Edwards, Michael C. – Educational and Psychological Measurement, 2021
Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the…
Descriptors: Goodness of Fit, Factor Analysis, Cutting Scores, Correlation
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Shatnawi, Raed; Althebyan, Qutaibah; Ghaleb, Baraq; Al-Maolegi, Mohammed – International Journal of Web-Based Learning and Teaching Technologies, 2021
Academic advising is a time-consuming activity that takes a considerable effort in guiding students to improve student performance. Traditional advising systems depend greatly on the effort of the advisor to find the best selection of courses to improve student performance in the next semester. There is a need to know the associations and patterns…
Descriptors: Academic Advising, Course Selection (Students), Educational Technology, Information Technology
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Kocemba-Pilarczyk, Kinga A.; Bentke-Imiolek, Anna; Dudzik, Paulina – Biochemistry and Molecular Biology Education, 2021
The aim of this online workshop is to familiarize biomedical faculties students with the principle of RT-PCR method. The following assumption is made, students participating in the workshop: (1) are already familiar with the principle of PCR reaction; (2) can distinguish PCR from RT-PCR; (3) know the basic possibilities of using the above…
Descriptors: Medical Students, Biochemistry, Genetics, COVID-19
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Huxtable, Marie; Whitehead, Jack – Educational Action Research, 2021
The last 20 years have seen a growing interest in researching pedagogy in Higher Education with action researchers playing a part in this growth. However, there are few studies that analyse the educational influences in learning of the action researcher in their own pedagogy in Higher Education. Hence the focus of this paper on enhancing…
Descriptors: Educational Theories, Action Research, Higher Education, Educational Research
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Hamdaoui, Nabila; Idrissi, Mohammed Khalidi; Bennani, Samir – International Journal of Game-Based Learning, 2021
Over the last years there has been a growing interest in the use of educational games as learning tools. Educational games have proven to contribute in enhancing student motivation, increasing their engagement and providing them with personalized and adaptive learning. Learner modeling is a prerequisite when it comes to adaptive learning; it is…
Descriptors: Educational Games, Mathematical Logic, Models, Data Analysis
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Wang, Cong; Liu, Xiufeng; Wang, Lei; Sun, Ying; Zhang, Hongyan – Journal of Science Education and Technology, 2021
Assessing scientific argumentation is one of main challenges in science education. Constructed-response (CR) items can be used to measure the coherence of student ideas and inform science instruction on argumentation. Published research on automated scoring of CR items has been conducted mostly in English writing, rarely in other languages. The…
Descriptors: Automation, Scoring, Accuracy, Responses
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