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Jamelia Harris – Field Methods, 2024
Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…
Descriptors: Foreign Countries, Sample Size, Surveys, Computation
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Tim Erickson – Australian Mathematics Education Journal, 2023
At the school level statistics begins with exploratory data analysis, or EDA. Statistical learning goes on to include statistical inference, which will be discussed in the second part of this article. In this article, the author will talk about EDA and CODAP. EDA can be thought of as looking for patterns in data using graphs and simple statistics…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Foreign Countries
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Tim Erickson – Australian Mathematics Education Journal, 2024
This is the third in a series of articles describing CODAP and where it might be used to address content in the "Australian Curriculum: Mathematics" v9.0 (ACARA, 2022). We've talked before about model-ling and about statistics; this time, we'll talk about exploring probability using CODAP. As before, we have also prepared online pages…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Mathematics Curriculum
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Boutilier, Justin J.; Chan, Timothy C. Y. – INFORMS Transactions on Education, 2023
Artificial intelligence (AI) and operations research (OR) have long been intertwined because of their synergistic relationship. Given the increasing popularity of AI and machine learning in particular, we face growing demand for educational offerings in this area from our students. This paper describes two courses that introduce machine learning…
Descriptors: Artificial Intelligence, Operations Research, Undergraduate Students, Engineering Education
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Bar, Carmel; Yarden, Anat – American Biology Teacher, 2023
Large data sets invite students to engage in scientific practices such as question asking, identifying correlations, using visualizations, and practicing data literacy in an authentic context. However, authentic data sets are rarely introduced in the biology classroom. We prepared an online inquiry activity based on authentic gross characteristics…
Descriptors: Animals, Inquiry, Science Education, Multiple Literacies
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Bernasco, Wim; Hoeben, Evelien M.; Koelma, Dennis; Liebst, Lasse Suonperä; Thomas, Josephine; Appelman, Joska; Snoek, Cees G. M.; Lindegaard, Marie Rosenkrantz – Sociological Methods & Research, 2023
Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the…
Descriptors: Video Technology, Social Science Research, Artificial Intelligence, Sociology
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Tim Erickson – Australian Mathematics Education Journal, 2023
This is the first of four columns by Tim Erikson which introduces us to the Common Online Data Analysis Platform (CODAP). CODAP is a free, web-based software tool that your students can use for many types of tasks. This first column shows how CODAP can be used for mathematical modelling and where it might fit with the "Australian Curriculum:…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Data Analysis
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Eva Reimers – British Journal of Religious Education, 2025
Starting with the question of why there is so much religiously motivated resistance against compulsory sex education, this article explores and discusses entanglements of norms about sexuality, gender, and religion in education. Based on predominantly Swedish data, the aim of the paper is to offer perspectives on connections between religiosity…
Descriptors: Sex Education, Role of Religion, Resistance (Psychology), Compulsory Education
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Mills, Martin; Thomson, Pat – Emotional & Behavioural Difficulties, 2022
It seems uncontentious that policy development should be informed by evidence, and that researchers should be engaged to assess available evidence. In this paper, we tell the story of a Rapid Evidence Assessment (REA) about school exclusion, a task intended to inform a 'root and branch' policy review. Drawing on Carol Bacchi's 'What's the…
Descriptors: Foreign Countries, Suspension, Expulsion, Equal Education
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David Ross Hall; Jessica C. D’eon – Journal of Chemical Education, 2023
Chemistry is increasingly data centric and the undergraduate curriculum needs to adjust to keep up. To address this, we created the "Air Quality Activity," a new first-year undergraduate activity where students use Microsoft Excel to analyze a unique subset of atmospheric ozone (O[subscript 3]) and nitrogen dioxide (NO[subscript 2])…
Descriptors: Chemistry, Science Instruction, Pollution, Undergraduate Students
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Atherton, Paul – Childhood Education, 2022
For any government, difficult choices must be made about how and where to prioritize any school construction. In the absence of data-driven decision-making, these choices typically will be made based on opinions; when that is the case, the most powerful people's opinions tend to dominate. On the other hand, data help us ensure all the children's…
Descriptors: Foreign Countries, Decision Making, Data Use, Data Analysis
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Isabel R. Fulcher; Donald Fejfar; Nichole Kulikowski; Jean-Claude Mugunga; Michael Law; Bethany Hedt-Gauthier – Journal of Statistics and Data Science Education, 2024
During the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data science training short course was developed to ensure that…
Descriptors: Capacity Building, COVID-19, Pandemics, Public Health
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Oluwafemi, Adeagbo; Xulu, S.; Dlamini, N.; Luthuli, M.; Mhlongo, T.; Herbst, C.; Shahmanesh, M.; Seeley, J. – Field Methods, 2021
Transforming spoken words into written text in qualitative research is a vital step in familiarizing and immersing oneself in the data. We share a three-step approach of how data transcription facilitated an interpretative act of analysis in a study using qualitative data collection methods on the barriers and facilitators of HIV testing and…
Descriptors: Transcripts (Written Records), Data Analysis, Qualitative Research, Data Interpretation
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Ciaran Evans; William Cipolli; Zakary A. Draper; John-Tyler Binfet – Journal of Statistics and Data Science Education, 2023
Engaging and motivating students in undergraduate statistics courses can be enhanced by using topical peer-reviewed publications for analyses as part of course assignments. Given the popularity of on-campus therapy dog stress-reduction programs, this topic fosters buy-in from students whilst providing information regarding the importance of mental…
Descriptors: Statistics Education, Learning Motivation, Undergraduate Students, Data Analysis
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Irene Mauricio Cazorla; Miriam Cardoso Utsumi; Sandra Maria Magina – International Electronic Journal of Mathematics Education, 2023
This article aims to present a first approximation of the conceptual field of measures of central tendency (MCT), grounded in the theory of conceptual fields. We propose six situations according to type of variable, data presentation (raw or grouped) and amount of data. We revisit specific situations for the mean and exemplify several…
Descriptors: Mathematics Education, Mathematical Concepts, Data, Elementary School Mathematics
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