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LaLonde, Kate; VanDerwall, Rena; Truckenmiller, Adrea J.; Walsh, Meagan – Psychology in the Schools, 2023
The current study used a randomized control trial to evaluate a decision-making model on special education preservice candidates' instructional decision-making and self-reported confidence ratings when analyzing graphed student data. Thirty-two special education preservice candidates viewed authentic curriculum-based measurement (CBM) graphs and…
Descriptors: Decision Making, Models, Special Education, Preservice Teachers
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2021
This is the fourth in a series of statistical articles for mathematics teachers. In this article, the authors discuss topics in General Mathematics in Unit 2 Topic 1 (Univariate data analysis and the statistical investigation process) and topics in Essential Mathematics, Unit 2 Topic 1 (Representing and comparing data).
Descriptors: Mathematics Education, Mathematics Instruction, Data Analysis, Graphs
Gray, Natallia; Petrova, Olga – Decision Sciences Journal of Innovative Education, 2023
Over the past 20 years, root cause analysis (RCA) has become one of the most widely used retrospective methods for detecting safety hazards in medicine and healthcare. Despite its wide use in management practice and growing popularity in academic research, there is currently a dearth of coverage of RCA in popular healthcare management textbooks…
Descriptors: Health Services, Medicine, Safety, Hazardous Materials
Napier, Nannette P. – Information Systems Education Journal, 2018
Dashboards allow managers to interact with data, asking "what if" questions and looking for patterns. This topic is typically mentioned in information systems courses; however, many students will not have experience with developing dashboards or using them to answer business questions. The purpose of this assignment is to provide…
Descriptors: Information Systems, Computer Literacy, Visualization, Computer Software
Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
Grinshpun, Vadim – International Journal of Environmental and Science Education, 2016
Importance: The article raises a point of visual representation of big data, recently considered to be demanded for many scientific and real-life applications, and analyzes particulars for visualization of multi-dimensional data, giving examples of the visual analytics-related problems. Objectives: The purpose of this paper is to study application…
Descriptors: Data Analysis, Visualization, Graphs, Charts
Spencer, Neil H.; Lay, Margaret; Kevan de Lopez, Lindsey – International Journal of Social Research Methodology, 2017
When undertaking quantitative hypothesis testing, social researchers need to decide whether the data with which they are working is suitable for parametric analyses to be used. When considering the relevant assumptions they can examine graphs and summary statistics but the decision making process is subjective and must also take into account the…
Descriptors: Evaluation Methods, Decision Making, Hypothesis Testing, Social Science Research
Beshara-Blauth, Alexa M. – ProQuest LLC, 2018
Community colleges are continually being faced with pressures to use data to inform decisions. These pressures arise from a triage of factors, including accountability, accreditation, and student success initiatives. Yet, as these demands continue, research has shown that community colleges struggle to institutionalize data-informed decision…
Descriptors: Decision Making, Community Colleges, Accountability, Accreditation (Institutions)
National College Access Network, 2016
The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…
Descriptors: Information Management, Data, Data Collection, Systems Approach
Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials