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Bohler, Jeffrey; Krishnamoorthy, Anand; Larson, Benjamin – e-Journal of Business Education and Scholarship of Teaching, 2017
Making data-driven decisions is becoming more important for organizations faced with confusing and often contradictory information available to them from their operating environment. This article examines one college of business' journey of developing a data-driven decision-making mindset within its undergraduate curriculum. Lessons learned may be…
Descriptors: Data, Decision Making, Business Schools, Business Administration Education
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Barth, Danielle; Evans, Nicholas – Language Documentation & Conservation, 2017
This paper provides an overview of the design and motivation for creating the Social Cognition Parallax Interview Corpus (SCOPIC), an open-ended, accessible corpus that balances the need for language-specific annotation with typologically-calibrated markup. SCOPIC provides richly annotated data, focusing on functional categories relevant to social…
Descriptors: Computational Linguistics, Documentation, Social Cognition, Data
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Koopmans, Matthijs – Complicity: An International Journal of Complexity and Education, 2017
In the United States, high school attendance and drop-out are important policy concerns receiving extensive coverage in the research literature. Traditionally, the focus in this work is on the summary of dropout rates and mean attendance rates in specific schools, regions or socio-economic groups. However, the question how stable those attendance…
Descriptors: Attendance, Attendance Patterns, Observation, High Schools
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Fick, Sarah J. – Science Teacher, 2017
One way to tackle climate misconceptions is to have students work with data to show how the climate is changing in their local community. The National Oceanic and Atmospheric Administration (NOAA) has weather stations nationwide that collect data on air temperature and precipitation that are freely available online. This article describes a lesson…
Descriptors: Climate, Weather, Data Collection, Science Process Skills
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Groth, Randall E.; Jones, Matthew; Knaub, Mary – Mathematics Teaching in the Middle School, 2017
The authors asked a group of students during a classroom research study to analyze data sets containing different amounts of noise. The authors use the word "noise" to refer to statistical variability. The four students in the group were finishing seventh grade and participating in summer mathematics instruction. The authors carefully…
Descriptors: Mathematics Instruction, Summer Programs, Statistics, Grade 7
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Thille, Candace; Zimmaro, Dawn – New Directions for Higher Education, 2017
This chapter describes an open learning analytics system focused on learning process measures and designed to engage instructors and students in an evidence-informed decision-making process to improve learning.
Descriptors: Educational Research, Data Analysis, Learning Processes, Instructional Design
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Zilvinskis, John; Borden, Victor M. H. – New Directions for Higher Education, 2017
Constructively engaging with learning analytics enables institutions of higher education to support students in more personalized, empowering ways, but to do so requires sustained levels of collaboration not commonly found within colleges and universities. Themes that emerge from the chapters of this volume provide useful principles for leveraging…
Descriptors: Educational Research, Data Analysis, Higher Education, Educational Practices
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Baker, David; Carter, Catherine; Hagan, Patricia; Hayles, Temple; Rhodes, Rychie; Smith, Karen – Learning Professional, 2017
The cognitive load that a teacher experiences is mind-numbing. To improve, a teacher must begin by reflecting on his or her work, but with the mountain of decisions, where does a teacher find time or have the capacity to notice the way in which students are interacting with lessons? In 2014, the St. Vrain Valley School District Office of…
Descriptors: Reflection, Video Technology, Coaching (Performance), Data
Hicks, Andrew Gregory – ProQuest LLC, 2017
Games-Based Learning systems, particularly those that use advances from Intelligent Tutoring Systems (ITS) to provide adaptive feedback and support, have proven potential as learning tools. Taking their lead from commercial games such as Little Big Planet and SuperMarioMaker, these systems are increasingly turning to content creation as a learning…
Descriptors: Data, Decision Making, Intelligent Tutoring Systems, Educational Games
Murphy, Debra D. – Online Submission, 2017
The textbook is often a primary resource for teachers in elementary content areas, and it is often used to the exclusion of other resources. Research indicates that students may not have sufficient exposure to elements of nonfiction texts in order to be successful when encountering them in the content area. For many years, there has been little…
Descriptors: Social Studies, Textbooks, Elementary Education, Textbook Content
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Eryaman, Mustafa Yunus – Educational Governance Research, 2017
Even though the evidence-based movement and the concept of public good have been thoroughly discussed and from a range of perspectives in the literature, there is no general consensus on the definitions and nature of these terms and concepts. In this chapter, the author conceptualizes what is meant when educators speak of the concepts like…
Descriptors: Evidence Based Practice, Educational Policy, Prosocial Behavior, Research Utilization
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Haigh, Carol – Digital Education and Learning, 2017
Written from a health-care perspective, the focus of this chapter is to discuss the evolving role of digital storytelling, as a research method. The chapter explores how digital stories can be viewed as a qualitative response to the "big data" approaches to research which are critical in the information age. It will suggest ways in which…
Descriptors: Technology Uses in Education, Story Telling, Data Collection, Research Methodology
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Bonifay, Wes; Cai, Li – Grantee Submission, 2017
Complexity in item response theory (IRT) has traditionally been quantified by simply counting the number of freely estimated parameters in the model. However, complexity is also contingent upon the functional form of the model. The information-theoretic principle of minimum description length provides a novel method of investigating complexity by…
Descriptors: Item Response Theory, Difficulty Level, Goodness of Fit, Factor Analysis
Dia Sekayi; Alexandra Coso Strong – Sage Research Methods Cases, 2017
Our research explores the experiences of participants in a program for graduate students interested in pursuing faculty careers in higher education (Students Pursuing Faculty Careers). The methodologies used to collect data for this case study included individual semistructured interviews, an asynchronous online focus group, a qualitative Levels…
Descriptors: Data Analysis, Graduate Students, Student Attitudes, Career Choice
Catherine Glaister – Sage Research Methods Cases, 2017
This case study is based on research begun for an MA dissertation in Human Resource Management and subsequently developed. It follows the government's decision that from September 2012, UK universities would be able to increase their tuition fees from a maximum of £3000 to £9000 per year. The project aimed to investigate the impact of this on…
Descriptors: Focus Groups, Student Attitudes, Tuition, Academic Aspiration
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