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Thomer, Andrea K. – ProQuest LLC, 2017
Research conducted at scientifically significant sites produces an abundance of important and highly valuable data. Yet, though sites are logical points for coordinating the curation of these data, their unique needs have been under supported. Previous studies have shown that two principal stakeholder groups -- scientific researchers and local…
Descriptors: Data Collection, Scientific Research, Researchers, Administrators
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Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
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Wright, Suzie; Fitzallen, Noleine; Shelley, Becky; Lang, Megan – Teaching Science, 2019
Inspiring children to pursue a career in science is a worthy pursuit for many reasons. One way to achieve this is to actively engage children in science, technology, engineering, and mathematics (STEM) learning from an early age. However, it is not always possible to integrate all the STEM fields in one activity. Rather, careful consideration of…
Descriptors: STEM Education, Vocational Interests, Elementary School Students, Student Research
Lohrer, Johannes-Y.; Kaltenthaler, Daniel; Kröger, Peer – International Association for Development of the Information Society, 2016
In this paper, we describe a framework for data analysis that can be embedded into a base application. Since it is important to analyze the data directly inside the application where the data is entered, a tool that allows the scientists to easily work with their data, supports and motivates the execution of further analysis of their data, which…
Descriptors: Data Analysis, Expertise, Models, Evaluation Methods
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McCarthy, John M.; Ettl Rodriguez, Fritz I.; Altieri, Val C., Jr. – Journal of Physical Education, Recreation & Dance, 2018
This article describes how one strength and conditioning youth development program implements the teaching personal and social responsibility (TPSR) framework with a portfolio-based system. Some scholars have noted that using portfolios helps connect assessment to instruction by promoting individualized learning for students. The purpose of this…
Descriptors: Data Collection, Program Implementation, Portfolio Assessment, Youth Programs
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Feinberg, Richard A.; Rubright, Jonathan D. – Educational Measurement: Issues and Practice, 2016
Simulation studies are fundamental to psychometric discourse and play a crucial role in operational and academic research. Yet, resources for psychometricians interested in conducting simulations are scarce. This Instructional Topics in Educational Measurement Series (ITEMS) module is meant to address this deficiency by providing a comprehensive…
Descriptors: Simulation, Psychometrics, Vocabulary, Research Design
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Fisher, Molly H.; Thomas, Jonathan; Schack, Edna O.; Jong, Cindy; Tassell, Janet – Mathematics Education Research Journal, 2018
This study examined the impact of an intervention, focused on professional noticing of children's conceptual development in whole number and arithmetic reasoning, on preservice elementary teachers' (PSETs') professional noticing skills, attitudes toward mathematics, and mathematical knowledge for teaching mathematics. A video-based professional…
Descriptors: Numeracy, Preservice Teachers, Intervention, Children
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Sipes, Shannon M. – Interdisciplinary Journal of Problem-based Learning, 2017
Few of the papers published in journals and conference proceedings on problem-based learning (PBL) are empirical studies, and most of these use self-report as the measure of PBL (Beddoes, Jesiek, & Borrego, 2010). The current study provides a theoretically derived matrix for coding and classifying PBL that was objectively applied to official…
Descriptors: Data Collection, Problem Based Learning, Program Development, Test Construction
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Durak, Gurhan; Cankaya, Serkan; Yunkul, Eyup; Misirli, Zeynel Abidin – Turkish Online Journal of Distance Education, 2018
The present study aimed at conducting content analysis on dissertations carried out so far in the field of Educational Technology in Turkey. A total of 137 dissertations were examined to determine the key words, academic discipline, research areas, theoretical frameworks, research designs and models, statistical analyses, data collection tools,…
Descriptors: Content Analysis, Doctoral Dissertations, Educational Technology, Foreign Countries
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Walton, Paul H.; Walton, Daniel J. – International Journal for Transformative Research, 2016
The traditional "leaky pipeline" plots are widely used to inform gender equality policy and practice. Herein, we demonstrate how a statistical phenomenon known as Simpson's paradox can obscure trends in gender "leaky pipeline" plots. Our approach has been to use Excel spreadsheets to generate hypothetical "leaky…
Descriptors: Spreadsheets, Gender Bias, Models, Data Collection
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Liu, Sanya; Ni, Cheng; Liu, Zhi; Peng, Xian; Cheng, Hercy N. H. – International Journal of Distance Education Technologies, 2017
Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…
Descriptors: Online Courses, Student Records, Learning Strategies, Cognitive Style
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Alase, Abayomi – International Journal of Education and Literacy Studies, 2017
As a research methodology, qualitative research method infuses an added advantage to the exploratory capability that researchers need to explore and investigate their research studies. Qualitative methodology allows researchers to advance and apply their interpersonal and subjectivity skills to their research exploratory processes. However, in a…
Descriptors: Phenomenology, Qualitative Research, Research Methodology, Semi Structured Interviews
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Millei, Zsuzsa; Gallagher, Jannelle – Early Child Development and Care, 2017
Australian early childhood education still labours with the achievement of universal access and the production of comprehensive and consistent data to underpin a national evidence base. In this article, we attend to the processes led by numbers whereby new practices of quantification, rationalization and reporting are introduced and mastered in a…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Education, Access to Education
Mandel, Travis Scott – ProQuest LLC, 2017
When a new student comes to play an educational game, how can we determine what content to give them such that they learn as much as possible? When a frustrated customer calls in to a helpline, how can we determine what to say to best assist them? When an ill patient comes in to the clinic, how do we determine what tests to run and treatments to…
Descriptors: Reinforcement, Learning Processes, Student Evaluation, Data Collection
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Buckley, Paul; Fahrenkrug, Eli – Journal of Chemical Education, 2020
This work developed the Flint, Michigan water crisis as a modular case study for teaching traditional analytical chemistry concepts through the medium of environmental justice, power, and equity. An interdisciplinary framework was used to design, implement, and assess the case study in an effort to understand how the deliberate presence of…
Descriptors: Urban Areas, Water Pollution, Chemistry, Case Studies
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