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Elia Bergamin; Giacomo Fabris; Matteo Neffat; Paola Baron Toaldo; Daniela De Luchi; Renato Bonomi – Journal of Chemical Education, 2023
A class of 18 students attending the last year of an Italian high school was divided into groups and performed the extraction of pigments contained in hibiscus tea. Each group worked at a different temperature and carried out multiple extractions using distilled water as a solvent. By means of UV-vis spectroscopy it was possible to determine the…
Descriptors: Chemistry, Spectroscopy, Scientific Concepts, Secondary School Science
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Radley, Keith C.; Dart, Evan H.; Schrieber, Stefanie R.; Davis, John L. – Behavioral Disorders, 2021
Classroom observations are frequently conducted with the purpose of comparing the behavior of a target student to that of other peers within the same classroom. A variety of procedures may be utilized by researchers and practitioners to collect such data; however, little is known of the accuracy of estimates of behavior produced by such procedures…
Descriptors: Comparative Analysis, Student Behavior, Peer Groups, Accuracy
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Boon, Michele Hilton; Thomson, Hilary – Research Synthesis Methods, 2021
Effect direction (evidence to indicate improvement, deterioration, or no change in an outcome) can be used as a standardized metric which enables the synthesis of diverse effect measures in systematic reviews. The effect direction (ED) plot was developed to support the synthesis and visualization of effect direction data. Methods for the ED plot…
Descriptors: Visualization, Data Analysis, Measurement Techniques, Guidance
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Larsson, Jens; Burenhult, Niclas; Kruspe, Nicole; Purves, Ross S.; Rothstein, Mikael; Sercombe, Peter – International Journal of Social Research Methodology, 2021
Studies of human spatial behavior increasingly rely on a combination of audiovisual and geospatial recordings. So far, however, few analytical environments have offered opportunities for integrated and expedient annotation and analysis of the two. Here we report the first study aimed at integrating geospatial data in an environment developed for…
Descriptors: Human Geography, Social Science Research, Data Use, Data Analysis
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Fernández-Molina, Juan-Carlos; Eschenfelder, Kristin R.; Rubel, Alan P. – College & Research Libraries, 2021
This paper describes the results of a study to compare contemporary e-journal licenses from two research universities in the United States and Spain in terms of e-reserves, interlibrary loan, text and data mining, authors' rights and treatment of copyright exceptions, usage statistics, governing law, data privacy, and obligations entailing…
Descriptors: Foreign Countries, Academic Libraries, Research Universities, Electronic Journals
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Mohl, Emily K.; Tritz, Bethany M.; Doud, Ella B; Galchutt, Emilia G.; Koomen, Michele J. – American Biology Teacher, 2021
We use the population decline of the monarch butterfly as a central phenomenon to support data analysis and scientific argumentation skills and to motivate inquiry and content learning in intermediate college-level biology courses. Students practice analyzing population trends, critically evaluate scientific articles that debate the causes and…
Descriptors: Science Instruction, Biology, Persuasive Discourse, Culturally Relevant Education
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Comunale, Christie L.; Sexton, Thomas R.; Higuera, Michael Shane; Stickle, Kelly – Educational Research Quarterly, 2021
State education departments find themselves pressured to reduce costs while improving student performance. To do so, state education departments must measure the performance of each school district in an objective, data-informed manner. We present a benchmarking methodology and illustrate its application in New York State school districts. We…
Descriptors: School Districts, Academic Achievement, Standardized Tests, Graduation Rate
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Fergusson, Anna; Wild, Chris J. – Teaching Statistics: An International Journal for Teachers, 2021
The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data…
Descriptors: Data, Data Analysis, Skill Development, Discovery Learning
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Ray Chaudhury, Sarita – Innovations in Education and Teaching International, 2021
An important skill in the modern workplace is the ability to learn new skills. However, students are ill-prepared for such self-directed requirements, as changes in academic curricula are typically outpaced by technological developments. To contribute to the efforts of educators to prepare students, this study adopts an experiential learning…
Descriptors: Undergraduate Students, Independent Study, Marketing, Business Administration Education
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Tilley, Elizabeth; Strnadová, Iva; Ledger, Sue; Walmsley, Jan; Loblinzk, Julie; Christian, Paul Anthoney; Arnold, Zara Jane – International Journal of Social Research Methodology, 2021
While there have been significant developments in the field of inclusive research with people with learning disabilities, there is limited knowledge about the ways inclusive research teams have conducted participatory data analysis. The authors argue this is inherently tied to the sensitivities involved in the inclusive research process. In this…
Descriptors: Participatory Research, Data Analysis, Learning Disabilities, Inclusion
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Paassen, Benjamin; McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – Journal of Educational Data Mining, 2021
Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…
Descriptors: Data Analysis, Programming Languages, Networks, Novices
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Gardner, John; O'Leary, Michael; Yuan, Li – Journal of Computer Assisted Learning, 2021
Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…
Descriptors: Artificial Intelligence, Educational Assessment, Formative Evaluation, Summative Evaluation
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McCarthy, Richard V.; Ceccucci, Wendy; McCarthy, Mary; Sugurmar, Nirmalkumar – Information Systems Education Journal, 2021
This case is designed to be used in business analytics courses; particularly those that emphasize predictive analytics. Students are given background information on money laundering and data from People's United Bank, a regional bank in the northeast United States. The students must develop their hypothesis, analyze the data, develop and optimize…
Descriptors: Business Administration Education, Data Analysis, Prediction, Crime
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Freeman, Jennifer; Lagarde, Christian; Acevedo, Erica – New Directions for Community Colleges, 2021
This chapter describes examples of Trade Adjustment Assistance Community College and Career Training-funded innovations that resulted in statewide systemic change, including approaches to accelerate adult credential attainment, new approaches to data collection and analysis, enhanced individualized student support, and stronger industry alignment.
Descriptors: Community Colleges, Grants, Job Training, Adult Education
Hollands, Fiona M.; Pratt-Williams, Jaunelle; Shand, Robert – Grantee Submission, 2021
The purpose of these guidelines is to support the execution of cost analysis and cost-effectiveness analysis of educational programs. The steps involved in conducting a cost analysis are presented in four stages with explicit examples used throughout: designing your cost analysis, collecting cost data using the ingredients method, analyzing cost…
Descriptors: Cost Effectiveness, Educational Finance, Standards, Guidelines
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