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Ferrell, O. C.; Ferrell, Linda – Marketing Education Review, 2020
New technologies, including artificial intelligence (AI), enablers of big data analysis, blockchain data systems, robotics, and drones are transforming marketing. Marketing education has adapted over the last 120 years driven by changes in marketing technology that have helped shape the courses taught. Marketing educators are facing challenges in…
Descriptors: Marketing, Textbooks, Interdisciplinary Approach, Robotics
Vargas, Santiago; Zamirpour, Siavash; Menon, Shreya; Rothman, Arielle; Häse, Florian; Tamayo-Mendoza, Teresa; Romero, Jonathan; Sim, Sukin; Menke, Tim; Aspuru-Guzik, Alán – Journal of Chemical Education, 2020
The increasing integration of software and automation in modern chemical laboratories prompts special emphasis on two important skills in the chemistry classroom. First, students need to learn the technical skills involved in modern scientific computing and automation. Second, applying these techniques in practice requires effective collaboration…
Descriptors: Teamwork, Computer Uses in Education, Cooperative Learning, Automation
Shreiner, Tamara L. – Information and Learning Sciences, 2020
Purpose: Data literacy -- the ability to read, analyze, interpret, evaluate and argue with data and data visualizations -- is an essential competency in social studies. This study aims to examine the degree to which US state standards require teachers to teach data literacy in social studies, addressing the questions: to what extent are US social…
Descriptors: Data, Information Literacy, State Standards, Data Analysis
Bertrand Schneider; Joseph Reilly; Iulian Radu – Journal for STEM Education Research, 2020
In an increasingly data-driven world, large volumes of fine-grained data are infiltrating all aspects of our lives. The world of education is no exception to this phenomenon: in classrooms, we are witnessing an increasing amount of information being collected on learners and teachers. Because educational practitioners have so much contextual and…
Descriptors: Learning Analytics, Classroom Techniques, Multimedia Materials, Graduate Students
Schmitz, Tom; Bukowski, Mark; Koschmieder, Steffen; Schmitz-Rode, Thomas; Farkas, Robert – Research Synthesis Methods, 2019
Launching biomedical innovations based on clinical demands instead of translating basic research findings to practice reduces the risk that the results will not fit the clinical routine. To realize this type of innovation, a meta-analysis of the body of research is necessary to reveal demand-matching concepts. However, both the data deluge and the…
Descriptors: Innovation, Biomedicine, Medical Research, Meta Analysis
Choi, Youn-Jeng; Asilkalkan, Abdullah – Measurement: Interdisciplinary Research and Perspectives, 2019
About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications…
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias
Killion, Patrick J.; Page, Ian B.; Yu, Victoria – Scholarship and Practice of Undergraduate Research, 2019
The University of Maryland--College Park initiated the First-Year Innovation & Research Experience (FIRE) in 2014 to provide authentic faculty-led research experiences, mentorship, and accelerated opportunity for first-year students from a wide range of academic backgrounds. To annually provide more than 600 new FIRE students with an authentic…
Descriptors: College Freshmen, Student Research, Data Analysis, Visualization
Yeung, Chun-Kit; Yeung, Dit-Yan – International Journal of Artificial Intelligence in Education, 2019
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it facilitates research in developing predictive models that predict whether the first job of a student out of…
Descriptors: Data Analysis, Careers, Prediction, Employment
Springuel, R. Padraic; Wittmann, Michael C.; Thompson, John R. – Physical Review Physics Education Research, 2019
How data are collected and how they are analyzed is typically described in the literature, but how the data are encoded is often not described in detail. In this paper, we discuss how data typically gathered in PER are encoded and how the choice of encoding plays a role in data analysis. We describe the kinds of data that are found when using…
Descriptors: Physics, Educational Research, Science Education, Coding
Jeaco, Stephen – International Journal of Computer-Assisted Language Learning and Teaching, 2019
One of the greatest impacts of corpus linguistics on language teaching has been in the recognition of the importance of collocation. A very influential guide for language teachers with regard to teaching collocation has been the Lexical Approach. Activities pointing students to rich collocational information in monolingual dictionaries, in texts…
Descriptors: Phrase Structure, Second Language Learning, Second Language Instruction, Teaching Methods
McGee, Monnie – Journal of Statistics Education, 2019
In several sporting events, the winner is chosen on the basis of a subjective score. These sports include gymnastics, ice skating, and diving. Unlike for other subjectively judged sports, diving competitions consist of multiple rounds in quick succession on the same apparatus. These multiple rounds lead to an extra layer of complexity in the data,…
Descriptors: Data Use, Visualization, Interrater Reliability, Introductory Courses
White, Philip B. – College & Research Libraries, 2019
This paper presents a new model for citation analysis, applying new methodological approaches in citation studies. These methods are demonstrated by an analysis of cited references from publications by the Geological Sciences faculty at the University of Colorado Boulder. The author made use of simple Python scripting, the Web of Science API, and…
Descriptors: Data Analysis, Citation Analysis, Citations (References), Faculty Publishing
Rizvi, Sana – International Journal of Research & Method in Education, 2019
This paper explores the contradictions of 'doing' feminist research, and how the materiality of engaging in fieldwork magnifies the gap between 'ideal' versus 'actual' feminist ways of conducting research. Drawing on my Doctoral research with British-Pakistani mothers of children with SEND, I explore the ethical and methodological challenges of…
Descriptors: Feminism, Educational Research, Theory Practice Relationship, Research Methodology
Haywood, M. Elizabeth; Mishra, Anubha – International Journal of Educational Management, 2019
Purpose: The purpose of this paper is to describe how brief exercises in introductory and advanced marketing courses can help business students achieve a broader understanding of what Big data and data analytics mean in the workplace. These short analytics problems fit into the culture that we are building at our institution to create analytics…
Descriptors: Business Administration Education, Marketing, Introductory Courses, Advanced Courses
Simonsen, Brandi; Freeman, Jen; Swain-Bradway, Jessica; George, Heather Peshak; Putnam, Robert; Lane, Kathleen Lynne; Sprague, Jeffrey; Hershfeldt, Patti – Education and Treatment of Children, 2019
Research suggests (a) students benefit when educators implement positive and proactive classroom behavior support practices (e.g., maximizing structure, teaching expected behaviors, delivering engaging instruction) and (b) educators benefit when school leadership teams invest in positive and proactive professional development support systems…
Descriptors: Positive Behavior Supports, Student Behavior, Teaching Methods, Classroom Techniques