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Pek, Jolynn; Wong, Octavia; Wong, C. M. – Practical Assessment, Research & Evaluation, 2017
Data transformations have been promoted as a popular and easy-to-implement remedy to address the assumption of normally distributed errors (in the population) in linear regression. However, the application of data transformations introduces non-ignorable complexities which should be fully appreciated before their implementation. This paper adds to…
Descriptors: Data Analysis, Regression (Statistics), Statistical Inference, Data Interpretation
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Ramezanzadeh, Akram; Zareian, Gholamreza; Adel, Seyyed Mohammad Reza; Ramezanzadeh, Ramin – Higher Education: The International Journal of Higher Education Research, 2017
This study probed the conceptualization of (in)authenticity in teaching and the way it could be enacted in pedagogical practices. The participants were a purposive sample of 20 Iranian university teachers. Data were collected using in-depth interviews, field notes, and observation. The collected data were analyzed through the lens of hermeneutic…
Descriptors: Foreign Countries, Data Collection, Interviews, Field Studies
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Lou, Shanshan – Journal of Advertising Education, 2017
This paper presents a class case study of an assignment that asked students to use a Twitter follower report to design a Twitter advertising campaign. The purpose of this case study is to immerse students in a real social media environment and help them become familiar with analyzing social media data to develop advertising campaigns. Students'…
Descriptors: Advertising, Social Media, Student Projects, Media Literacy
Yang, Shuo – ProQuest LLC, 2017
With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…
Descriptors: Probability, Models, Prediction, Longitudinal Studies
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Kelchen, Robert; Rosinger, Kelly Ochs; Ortagus, Justin C. – AERA Open, 2019
As state governments seek to improve the performance of institutions of K-12 and higher education, they often adopt educational policies that have similar names but different characteristics across states and with variations over time within states. Yet quantitative analyses generally examine the absence or presence of an educational policy…
Descriptors: Educational Policy, Policy Analysis, Educational Finance, Data Analysis
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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
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Jones, Kyle M. L.; McCoy, Chase – Learning, Media and Technology, 2019
In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…
Descriptors: Data Analysis, Documentation, Guidelines, Data Collection
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Ferguson, Sarah – Mathematics Teaching in the Middle School, 2019
Building sets, video games, and scatterplots may seem unrelated, but when they are combined into a problem-based learning (PBL) lesson, these elements join to create a unique learning experience. PBL lessons drive instruction by focusing learning and activities around a central challenge or question while providing a relevant, captivating, and…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Based Learning, Problem Solving
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Larson, Eric C.; Vieregger, Carl – Journal of Information Systems Education, 2019
This teaching case highlights the complex and unique strategic issues facing social media platform companies, using Facebook as the primary, motivating example. The case centers on the breach of trust that occurred when Cambridge Analytica acquired user data from 87 million Facebook accounts and then attempted to sway the 2016 U.S. Presidential…
Descriptors: Social Media, Strategic Planning, Trust (Psychology), Users (Information)
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Davari, Mehraneh; Noursalehi, Payam; Keramati, Abbas – Journal of Marketing for Higher Education, 2019
In this research, a combination of both quantitative and qualitative approaches is used to identify different market segments in the education industry. To solve the research problem, an exploratory approach to data mining is used and, using a series of interviews with experts, the factors affecting segmentation are identified. Then, using the…
Descriptors: Data Analysis, Competition, Expertise, Research and Development
Kennedy, Mary Lee, Ed. – Association of Research Libraries, 2019
In this first issue of "Research Library Issues" ("RLI") in 2019, the authors explore privacy from a legal, digital, and applied perspective, with a focus on the implications and opportunities for research libraries. The current privacy landscape highlights the need for a nuanced understanding of the complicated nature of…
Descriptors: Privacy, Research Libraries, Public Policy, Users (Information)
Louden, William – Education Services Australia, on behalf of the Education Council, 2019
The Education Council of the Council of Australian Governments (COAG) commissioned a review of the current approach to the presentation of the National Assessment Program -- Literacy and Numeracy (NAPLAN) data including information published on the "My School" website. The review was framed by four Terms of Reference, namely: (1)…
Descriptors: Foreign Countries, Literacy, National Competency Tests, Numeracy
Dalporto, Hannah – MDRC, 2019
Career and technical education (CTE) programs (programs that teach students specific workplace skills aligned with the labor market) may track data for lots of different reasons: to comply with funding requirements, to manage their services and continually improve, to measure their progress toward their goals, and to evaluate whether they are…
Descriptors: Vocational Education, Data Use, Program Development, Data Collection
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Reeping, David; Taylor, Ashley R.; Knight, David B.; Edwards, Cherie – Journal of Engineering Education, 2019
Background: Mixed methods research designs in engineering education often frame the "mixed" aspect of the design from the perspective of data collection. However, intentional mixing throughout the research design--particularly during data analysis--may enable richer meta-inferences about a phenomenon. Purpose: This paper provides…
Descriptors: Mixed Methods Research, Program Evaluation, Engineering Education, Research Design
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